Civil aviation measuring instrument multi-protocol data communication interface adaptive processing method and system

Abstract

The application provides a processing method and system for a multi-protocol data communication interface of a civil aviation measuring instrument, wherein a first avionics protocol and a second avionics protocol are defined according to a multi-protocol database of the civil aviation measuring instrument and an electrical characteristic database of a communication interface; equivalent inductance and equivalent capacitance of an adaptive impedance matching network are adjusted to generate an impedance configuration parameter set; original data frames of the first avionics protocol are converted into target data frames conforming to the second avionics protocol; impedance measurement values of each data communication interface are obtained to generate a dynamic impedance strategy; adaptive protocol conversion rules are generated according to semantic consistency checking results of the target data frames; and the dynamic impedance strategy and the adaptive protocol conversion rules are cooperatively optimized to generate adaptive parameters of the communication interface. The application realizes accurate matching of a protocol conversion group and physical interface characteristics, and improves stability and adaptive capacity of the multi-protocol communication interface in a complex electromagnetic environment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of adaptive processing of data communication interface, and particularly relates to an adaptive processing method and system of a multi-protocol data communication interface of civil aviation metrological apparatus. BACKGROUND

[0002] With the continuous improvement of the complexity of avionics systems, various civil aviation metrological devices need to realize efficient and reliable data interaction under different protocol systems, so higher technical requirements are put forward for the communication interface, that is, not only the interoperability between multiple avionics protocols needs to be supported, but also good electrical compatibility and dynamic adaptation capability are required to cope with changing communication environments and device states.

[0003] The current mainstream scheme is a multi-protocol communication architecture based on a combination of a pre-defined protocol mapping table and a fixed impedance matching module. This scheme realizes the static semantic mapping between mainstream avionics protocols by constructing a standardized protocol conversion rule library. In combination with the adjustable impedance circuit module at the hardware level, the physical layer adaptation between different communication interfaces is completed to a certain extent. The existing scheme has some inherent defects, including that the dynamic changes of the semantic relationship between protocols cannot be effectively captured, which makes the preset mapping rules difficult to adapt to new protocols or non-standard data formats; the fixed impedance adjustment mechanism lacks real-time sensing capability for the state of the field interface, and cannot be finely adjusted according to environmental changes; the protocol conversion and physical layer matching processes are independent of each other, and lack of collaborative optimization mechanism, which limits the improvement of the overall communication performance. SUMMARY

[0004] The present application provides an adaptive processing method and system of a multi-protocol data communication interface of civil aviation metrological apparatus, to solve the problems in the prior art that the dynamic changes of the semantic relationship between protocols cannot be effectively captured, which makes the preset mapping rules difficult to adapt to new protocols or non-standard data formats; the fixed impedance adjustment mechanism lacks real-time sensing capability for the state of the field interface, and cannot be finely adjusted according to environmental changes; the protocol conversion and physical layer matching processes are independent of each other, and lack of collaborative optimization mechanism, which limits the improvement of the overall communication performance.

[0005] In a first aspect, the present application provides an adaptive processing method of a multi-protocol data communication interface of civil aviation metrological apparatus, comprising:

[0006] Based on the multi-protocol database of civil aviation metrological apparatus and the communication interface electrical characteristic database, a protocol compatibility atlas is constructed, which defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint condition of the communication interface;

[0007] configuring an adaptive impedance matching network, adjusting an equivalent inductance value and an equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint condition, and generating an impedance configuration parameter set;

[0008] based on the semantic mapping relationship, converting the original data frame of the first avionics protocol into a target data frame conforming to the second avionics protocol;

[0009] obtaining impedance measurement values of each data communication interface of the civil aviation metrological instrument, matching candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, and generating a dynamic impedance strategy based on the candidate impedance configuration parameters;

[0010] According to the semantic consistency verification result of the target data frame, adjusting the association parameters of the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set;

[0011] The dynamic impedance strategy and the adaptive protocol conversion rule set are optimized to generate a communication interface adaptive parameter, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrological instrument.

[0012] Optionally, based on the multi-protocol database of the civil aviation metrological instrument and the communication interface electrical characteristic database, a protocol compatibility graph is constructed, which defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint condition of the communication interface, including:

[0013] Based on the multi-protocol database of the civil aviation metrological instrument, the syntax structure field set of the first avionics protocol and the second avionics protocol is obtained, the syntax structure fields with the same semantics in the syntax structure field set are bidirectionally mapped, and an initial semantic mapping relationship table is generated;

[0014] From the communication interface electrical characteristic database, the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface of the civil aviation metrological instrument are obtained, and the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface are fitted respectively, and the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval of each data communication interface are generated;

[0015] Based on the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, each field mapping relationship in the initial semantic mapping relationship table is associated with the corresponding data communication interface to generate a triple relationship node, the triple relationship node includes a data communication interface identifier, a field mapping relationship weight, and an impedance constraint interval;

[0016] According to the overlap degree of the impedance constraint interval, the triple relationship nodes are subjected to cluster analysis, nodes satisfying preset conditions are merged into the same protocol conversion group, and multiple protocol conversion groups with common impedance characteristics are generated;

[0017] Impedance sensitivity indexes of each protocol conversion group are calculated, and the protocol conversion groups are prioritized based on the impedance sensitivity indexes to construct a protocol compatibility map.

[0018] Optionally, impedance measurement values of each data communication interface of the civil aviation metrological instrument are obtained to match candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, and a dynamic impedance strategy is generated based on the candidate impedance configuration parameters, including:

[0019] Physical connection signal strengths of each data communication interface of the civil aviation metrological instrument are monitored in parallel to obtain impedance measurement values of the corresponding data communication interface, and the impedance measurement values of each data communication interface are compared with the impedance constraint interval of the corresponding protocol conversion group to calculate the impedance deviation amount of the corresponding protocol conversion group;

[0020] When the impedance deviation amount of each protocol conversion group exceeds the preset exclusive threshold value of the corresponding protocol conversion group and reaches a set number of periods, the corresponding protocol conversion group is marked as an abnormal protocol conversion group;

[0021] Time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group are collected, and an extended impedance constraint interval of the abnormal protocol conversion group is generated in combination with the impedance sensitivity index;

[0022] Based on the extended impedance constraint interval, a candidate impedance configuration parameter set adapted to the data communication interface of the abnormal protocol conversion group is matched from the impedance configuration parameter set;

[0023] The candidate impedance configuration parameter set is subjected to conflict resolution and fusion processing to generate a dynamic impedance strategy.

[0024] Optionally, the candidate impedance configuration parameter set is subjected to conflict resolution and fusion processing to generate a dynamic impedance strategy, including:

[0025] The difference absolute values between the equivalent inductance value and the equivalent capacitance value of each candidate impedance configuration parameter in the candidate impedance configuration parameter set and the boundary value of the extended impedance constraint interval are calculated to generate inductance deviation amount and capacitance deviation amount;

[0026] The conflict feature range in which the inductance deviation amount and the capacitance deviation amount of all candidate impedance configuration parameters in the same abnormal protocol conversion group exceed a set conflict threshold value are identified;

[0027] screening a target candidate impedance configuration parameter with equivalent inductance value and equivalent capacitance value in the conflict characteristic range within the extended impedance constraint interval, and marking the target candidate impedance configuration parameter with the minimum sum of inductance deviation amount and capacitance deviation amount as a selected parameter;

[0028] removing the candidate impedance configuration parameters in the candidate impedance configuration parameter set with overlapping conflict characteristic range of equivalent inductance value and equivalent capacitance value of the selected parameter to obtain an intermediate candidate impedance configuration parameter set;

[0029] calculating the deviation amount weighting result of each intermediate candidate impedance configuration parameter in the intermediate candidate impedance configuration parameter set, and taking the intermediate candidate impedance configuration parameter with the lowest deviation amount weighting result as a reference parameter;

[0030] superimposing the equivalent inductance value and the equivalent capacitance value of the intermediate candidate impedance configuration parameters with deviation amount weighting result difference within a preset tolerance range and the reference parameter to generate a fusion parameter;

[0031] merging the selected parameter and the fusion parameter to generate a dynamic impedance strategy.

[0032] Optionally, according to the semantic consistency checking result of the target data frame, the association parameter of the semantic mapping relationship and the preset data frame conversion rule is adjusted to generate an adaptive protocol conversion rule set, including:

[0033] parsing the field missing identifier and the data range overrun identifier in the semantic consistency checking result of the target data frame, and according to the field missing identifier and the data range overrun identifier, the field missing times and the overrun deviation amount corresponding to the semantic mapping relationship are counted;

[0034] According to the field missing times, the priority parameter of the semantic mapping relationship is de-weighted to obtain an adjusted priority parameter;

[0035] Based on the overrun deviation amount, the constraint range of the association parameter of the preset data frame conversion rule is extended and adjusted to generate an updated association parameter;

[0036] The adjusted priority parameter and the updated association parameter are bound with the semantic mapping relationship to generate a binding mapping relationship set;

[0037] According to the adjusted priority parameter, the field mapping order of the preset data frame conversion rule is reorganized to generate a preliminary protocol conversion rule set;

[0038] Extracting a target protocol conversion rule in the preliminary protocol conversion rule set that meets a preset integrity threshold and a consistency threshold to generate an adaptive protocol conversion rule set.

[0039] Optionally, based on the out-of-limit deviation, the constraint range of the associated parameter of the preset data frame conversion rule is extended and adjusted to generate an updated associated parameter, including:

[0040] The out-of-limit direction of the target field in the semantic mapping relationship is identified as positive out-of-limit or negative out-of-limit to extract the out-of-limit amplitude value corresponding to the target field.

[0041] According to the out-of-limit direction, the boundary constraint range of the associated parameter of the preset data frame conversion rule is extended to generate a preliminary extended constraint range. When the out-of-limit direction is positive out-of-limit, the upper limit value of the preliminary extended constraint range is extended by the out-of-limit amplitude value. When the out-of-limit direction is negative out-of-limit, the lower limit value of the preliminary extended constraint range is extended by the out-of-limit amplitude value.

[0042] The preliminary extended constraint range is subjected to conflict detection to generate a compliance extended constraint range, so that the upper limit value of the preliminary extended constraint range of positive out-of-limit is truncated to the upper limit value of the impedance constraint interval, and the lower limit value of the preliminary extended constraint range of negative out-of-limit is raised to the lower limit value of the impedance constraint interval.

[0043] The compliance extended constraint range is directionally fused with the associated parameter of the preset data frame conversion rule to generate an updated associated parameter.

[0044] Optionally, the dynamic impedance strategy and the adaptive protocol conversion rule set are cooperatively optimized to generate a communication interface adaptive parameter, so as to realize adaptive processing of a multi-protocol data communication interface of the civil aviation metrological instrument, including:

[0045] The equivalent inductance value and the equivalent capacitance value in the dynamic impedance strategy are jointly encoded with the field mapping sequence in the adaptive protocol conversion rule set to generate an optimization parameter space.

[0046] Based on the priority order of the protocol conversion group, a joint evaluation function of protocol conversion delay and impedance matching accuracy is established in the optimization parameter space.

[0047] The optimization parameter space is traversed, and a combination of the equivalent inductance value, the equivalent capacitance value, and the field mapping sequence that makes the joint evaluation function optimal is selected as an initial optimization parameter combination.

[0048] According to the overlapping conflict feature range and the field missing identifier, the initial optimization parameter combination is subjected to load fluctuation compensation in a real-time communication environment to generate a compensated optimization parameter.

[0049] The compensated optimized parameters are distributed to corresponding adaptive impedance matching networks and protocol conversion engines according to data communication interface identifiers of the protocol conversion groups, and communication interface adaptive parameters including impedance matching parameters and protocol conversion parameters are generated to realize adaptive processing of the multi-protocol data communication interfaces of the civil aviation metrological instruments.

[0050] In a second aspect, the present application provides a system for adaptive processing of multi-protocol data communication interfaces of civil aviation metrological instruments, comprising:

[0051] A construction module is configured to construct a protocol compatibility graph based on a multi-protocol database of civil aviation metrological instruments and a communication interface electrical characteristic database, wherein the protocol compatibility graph defines semantic mapping relationships between a first avionics protocol and a second avionics protocol and impedance parameter constraint conditions of communication interfaces.

[0052] A configuration module is configured to configure an adaptive impedance matching network, adjust equivalent inductance values and equivalent capacitance values of the adaptive impedance matching network according to the impedance parameter constraint conditions, and generate a set of impedance configuration parameters.

[0053] A conversion module is configured to convert original data frames of the first avionics protocol into target data frames conforming to the second avionics protocol based on the semantic mapping relationships.

[0054] A matching module is configured to obtain impedance measurement values of each data communication interface of the civil aviation metrological instruments, match candidate impedance configuration parameters adapted to data communication interfaces of abnormal protocol conversion groups from the set of impedance configuration parameters, and generate a dynamic impedance strategy based on the candidate impedance configuration parameters.

[0055] An adjustment module is configured to adjust associated parameters of the semantic mapping relationships and preset data frame conversion rules according to semantic consistency verification results of the target data frames, and generate a set of adaptive protocol conversion rules.

[0056] An optimization module is configured to cooperatively optimize the dynamic impedance strategy and the set of adaptive protocol conversion rules, generate communication interface adaptive parameters, and realize adaptive processing of the multi-protocol data communication interfaces of the civil aviation metrological instruments.

[0057] In a third aspect, the present application provides a computing device comprising a processor and a memory, wherein the memory stores a computer program, and the processor is configured to run the computer program to execute the adaptive processing method of the multi-protocol data communication interfaces of the civil aviation metrological instruments according to any one of the first aspect.

[0058] In a fourth aspect, the present application provides a computer storage medium, which stores computer program instructions, and the computer program instructions are executed by a processor to implement the adaptive processing method of the civil aviation metrological instrument multi-protocol data communication interface according to any one of the first aspect.

[0059] The method defines the semantic mapping and impedance constraint between multiple protocols by constructing a protocol compatibility graph, and realizes the automatic adaptation processing of the civil aviation metrological instrument multi-protocol interface by combining the dynamic impedance matching network and the protocol conversion rule for collaborative optimization. Specifically, based on the joint analysis of the multi-protocol database and the electrical characteristic database, the impedance configuration parameter set and the adaptive protocol conversion rule set are generated, and the strategy is dynamically adjusted through real-time impedance measurement and semantic verification feedback, which solves the problems of impedance mismatch and semantic conversion incompatibility in traditional multi-protocol communication, significantly improves the stability, compatibility and adaptive ability of interface communication, and reduces the dependence on manual configuration.

[0060] Further, by extracting the bidirectional mapping relationship of the protocol syntax field and the interface impedance probability distribution interval, a triple relationship node is constructed and clustered to generate a protocol conversion group, and the impedance sensitivity index is used for priority sorting, which realizes the dynamic optimization of the protocol compatibility graph. This process deeply integrates semantic mapping and impedance constraint, accurately identifies common impedance characteristics group through probability distribution fitting and overlap clustering, solves the problems of loose semantic association and static impedance adaptation in traditional protocol conversion, significantly improves the accuracy of protocol conversion and the dynamic adaptation ability of interface impedance, and enhances the communication reliability in complex electromagnetic environment.

[0061] These aspects or other aspects of the present application will be more apparent in the following description of the embodiments. BRIEF DESCRIPTION OF DRAWINGS

[0062] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiment or prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and those skilled in the art can also obtain other drawings according to these drawings without creative labor.

[0063] Figure 1 A flow chart of an adaptive processing method of a civil aviation metrological instrument multi-protocol data communication interface provided by an embodiment of the present application is shown in the figure.

[0064] Figure 2 A structural schematic diagram of an adaptive processing system of a civil aviation metrological instrument multi-protocol data communication interface provided by an embodiment of the present application is shown in the figure.

[0065] Figure 3 A structural schematic diagram of a computing device provided by an embodiment of the present application is shown in the figure. Detailed Implementation

[0066] To enable those skilled in the art to better understand the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings.

[0067] In some of the processes described in the specification, claims, and accompanying drawings of this invention, multiple operations appearing in a specific order are included. However, it should be clearly understood that these operations may not be executed in the order they appear herein, or may be executed in parallel. The operation numbers, such as 101, 102, etc., are merely used to distinguish different operations and do not represent any execution order. Furthermore, these processes may include more or fewer operations, and these operations may be executed sequentially or in parallel. It should be noted that the descriptions such as "first," "second," etc., in this document are used to distinguish different messages, devices, modules, etc., and do not represent a sequential order, nor do they limit "first" and "second" to different types.

[0068] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0069] Figure 1 This is a flowchart illustrating an adaptive processing method for a multi-protocol data communication interface of civil aviation metrology instruments, as provided in this embodiment of the invention. Figure 1 As shown, the method includes:

[0070] To address the core challenges of protocol heterogeneity adaptation and dynamic impedance mismatch in complex electromagnetic environments faced by multi-protocol communication interfaces of civil aviation metrology instruments, traditional solutions suffer from drawbacks such as collaborative failures due to the separation of protocol conversion and physical layer impedance matching optimization, inability of static parameter configuration to adapt to real-time interface state changes, and insufficient semantic-level data consistency guarantees. To address these issues, this invention proposes the following approach: By constructing a compatibility map that integrates protocol semantic mapping and impedance parameter constraints, dynamic correlation between protocol rules and interface electrical characteristics is achieved; combined with real-time tuning of an adaptive impedance matching network and adaptive optimization of data frame conversion rules, a closed-loop feedback mechanism between the physical and protocol layers is formed. This resolves protocol syntax conflicts, interface impedance drift, and loss of critical data semantics during multi-vendor device interconnection, significantly improving the communication reliability and environmental adaptability of multi-protocol interfaces for civil aviation metrology instruments under complex operating conditions. Based on this, this invention provides an adaptive processing method for multi-protocol data communication interfaces of civil aviation metrology instruments, such as... Figure 1 ,include:

[0071] Step 101: based on the multi-protocol database of civil aviation measuring instruments and the communication interface electrical characteristic database, a protocol compatibility graph is constructed, the protocol compatibility graph defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint condition of the communication interface.

[0072] In this step, the multi-protocol database refers to a structured database that stores the syntax rules, field definitions and semantic descriptions of different avionics protocols; the communication interface electrical characteristic database refers to a measured data set that records the equivalent inductance, equivalent capacitance and other electrical parameters of the physical interface of the civil aviation measuring instrument; the protocol compatibility graph refers to a hierarchical data structure that defines the semantic mapping relationship between protocols and the interface impedance constraint condition; the first avionics protocol refers to the source protocol to be converted, such as ARINC 429; the second avionics protocol refers to the target protocol, which uses a virtual link identifier and a binary data frame structure; the semantic mapping relationship refers to the semantic equivalent correspondence relationship between the fields of the source protocol and the fields of the target protocol; the impedance parameter constraint condition refers to the allowable fluctuation range of the equivalent inductance and capacitance of the interface, which is set based on the statistical distribution of historical data.

[0073] In the embodiment of the application, first, the syntax structure field set of the first avionics protocol and the second avionics protocol is extracted from the multi-protocol database of the civil aviation measuring instrument, a bidirectional mapping relationship is established for fields with the same semantics, and an initial semantic mapping relationship table is generated; then, the historical equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface are obtained, and the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval of each interface are calculated; next, each field mapping relationship in the initial semantic mapping relationship table is associated with the impedance probability distribution interval of the corresponding interface, and a three-tuple relationship node containing the interface identifier, the field mapping weight and the impedance constraint interval is generated; finally, the nodes are subjected to cluster analysis, similar nodes are merged to form a protocol conversion group, and the priority is determined, and the protocol compatibility graph is finally constructed.

[0074] Step 102: configuring an adaptive impedance matching network, adjusting the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint condition, and generating an impedance configuration parameter set.

[0075] In this step, the adaptive impedance matching network refers to a circuit composed of programmable inductance and capacitance elements; the equivalent inductance value and the equivalent capacitance value refer to the equivalent circuit parameters exhibited by the matching network at a specific frequency; and the impedance configuration parameter set refers to the optimized inductance and capacitance value combination set.

[0076] In the embodiment of the present application, first, the adjustment range of the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network is determined based on the impedance parameter constraint condition in the protocol compatibility map; then the equivalent inductance value and the equivalent capacitance value of the matching network are adjusted in real time through programmable elements such as digital potentiometers or varactor diodes, so that they approximate the impedance characteristics of the target interface; in the adjustment process, the matching effect is evaluated by using the impedance matching degree calculation formula, and iterative optimization is performed until the preset threshold is met; finally, the optimized equivalent inductance value and equivalent capacitance value are combined to generate an impedance configuration parameter set, which is used for subsequent interface state adaptation.

[0077] Step 103: Based on the semantic mapping relationship, convert the original data frame of the first avionics protocol into a target data frame conforming to the second avionics protocol.

[0078] In this step, the original data frame refers to the original data unit of the first protocol without conversion; the target data frame refers to the data unit conforming to the format of the second protocol, which is generated through syntax reconstruction and semantic mapping.

[0079] In the embodiment of the present application, first, the syntax structure of the original data frame of the first avionics protocol is parsed according to the semantic mapping relationship in the protocol compatibility map, and the source field label and data content are identified; then the source field label is mapped to the target field label of the second avionics protocol, and the data frame structure is reconstructed according to the syntax rules of the target protocol; in the conversion process, the out-of-limit values are truncated or scaled by using the data range constraint parameter, to ensure that the generated target data frame conforms to the format specification of the second protocol.

[0080] Step 104: Obtain the impedance measurement value of each data communication interface of the civil aviation measurement instrument, to match the candidate impedance configuration parameter adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, and generate a dynamic impedance strategy based on the candidate impedance configuration parameter.

[0081] In this step, the impedance measurement value refers to the interface equivalent impedance parameter obtained in real time by a vector network analyzer; the abnormal protocol conversion group refers to the protocol conversion group with continuous out-of-limit impedance deviation; the candidate impedance configuration parameter refers to the potential adaptation parameter selected from the configuration parameter set, which needs to be used after conflict resolution; the dynamic impedance strategy refers to the impedance adjustment scheme containing the combination of primary and backup parameters and the switching condition, which guarantees the stability of the interface.

[0082] In the embodiment of the present application, firstly, the physical connection signal strength of each data communication interface is monitored in parallel, and the analyzer obtains real-time impedance measurement values; secondly, the measurement values are compared with the impedance constraint interval of the corresponding protocol conversion group in the protocol compatibility map, the impedance deviation amount is calculated, when the impedance deviation amount of a protocol conversion group continuously exceeds the preset exclusive threshold value, the protocol conversion group is marked as an abnormal protocol conversion group, and the time-frequency domain reflection characteristics of the interface are collected; then, combined with the impedance sensitivity index, the impedance constraint interval of the group is dynamically expanded, and the adaptive candidate parameters are selected from the impedance configuration parameter set; finally, the candidate parameters are conflict resolved and fused according to the priority order, and a dynamic impedance strategy is generated.

[0083] Step 105: According to the semantic consistency verification result of the target data frame, the association parameters of the semantic mapping relationship and the preset data frame conversion rule are adjusted to generate an adaptive protocol conversion rule set.

[0084] In this step, the semantic consistency verification result refers to the quantitative evaluation result of the semantic consistency of the target data frame and the source data, including field missing and out-of-limit identification; the association parameter refers to the priority weight and data range constraint bound in the protocol conversion rule; the adaptive protocol conversion rule set refers to the dynamically optimized field mapping order and constraint rule set, which improves the conversion reliability.

[0085] In the embodiment of the present application, firstly, the semantic consistency verification result of the target data frame is analyzed, and the field missing identification and data range out-of-limit identification are extracted; secondly, the missing times and out-of-limit deviation amounts of each field mapping relationship are counted, the mapping priority parameters are de-weighted, and the data range constraint parameters are expanded according to the out-of-limit deviation direction; then, the adjusted priority parameters and the expanded constraint parameters are bound with the original semantic mapping relationship to generate a bound mapping relationship set; then, the field order of the data frame conversion rule is reorganized according to the adjusted priority parameters, and the preliminary protocol conversion rule set is generated after eliminating the conflict rules; finally, the adaptive protocol conversion rule set is generated through the filtering rules of the integrity threshold and the consistency threshold.

[0086] Step 106: The dynamic impedance strategy and the adaptive protocol conversion rule set are cooperatively optimized to generate a communication interface adaptive parameter, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation measurement instrument.

[0087] In this step, the cooperative optimization operation refers to the decision-making process of jointly optimizing the impedance matching parameter and the protocol conversion rule, which solves the cross-layer conflict; the communication interface adaptive parameter refers to the finally generated joint control parameter of the physical layer and the protocol layer, which guides the real-time adaptation of the interface.

[0088] In the embodiment of the present application, first, impedance matching parameters in the dynamic impedance strategy and protocol conversion parameters in the adaptive protocol conversion rule set are extracted; second, impedance matching degree and protocol conversion success rate are balanced; then, the feasibility of the optimization result is verified, and the parameter combination that causes the impedance sensitivity index to decrease by more than 5% is eliminated; finally, the communication interface adaptive parameters including the main and backup parameter combinations and the switching conditions are generated, and the main parameters are used preferentially, and the backup parameters are switched according to the priority when the interface state changes.

[0089] For example, first, the field sets of ARINC 429 and AFDX protocols are extracted based on the multi-protocol database, and the mapping relationship table of key fields such as fuel flow and cabin pressure is generated through semantic matching. Second, the equivalent inductance historical data (mean value 50nH, standard deviation 2nH) of the fuel flow meter interface is obtained from the interface electrical characteristic library, the constraint interval of 50nH±5% is fitted and generated, and is bound to the field mapping relationship as a ternary node; then, it is detected that the impedance value of a certain fuel flow meter interface is continuously out of limit to 55nH for three times, which is marked as an abnormal protocol conversion group, and its constraint interval is expanded to 55nH±5%, and the candidate parameters (such as 53nH / 200pF) are selected from the configuration parameter set; next, the candidate parameters are assigned according to the priority, and the dynamic impedance strategy is fused and generated; at the same time, semantic verification finds that the fuel flow field is missing, the mapping priority is reduced and the data range is expanded, and the adaptive protocol conversion rule set is reorganized and generated; finally, the impedance strategy and the protocol rule are optimized cooperatively, and the interface adaptive parameters are generated, realizing stable communication of the interface.

[0090] The embodiment of the present application realizes the dynamic association of semantic mapping and impedance constraint through the protocol compatibility graph, solves the coordination failure problem caused by the separation of protocol conversion and physical layer adaptation in the traditional scheme, improves the real-time response capability of interface impedance drift through the adaptive impedance matching network and dynamic strategy generation mechanism, guarantees the integrity of key data through the rule optimization driven by semantic consistency, and finally significantly improves the stability and reliability of the multi-protocol interface in the complex electromagnetic environment through cross-layer cooperative optimization.

[0091] In order to solve the problems of inaccurate semantic mapping and missing interface impedance matching constraints between different avionics protocols, this step constructs a protocol compatibility graph to define the semantic mapping relationship and impedance parameter constraint condition. The present application provides a specific embodiment, step 101, based on the multi-protocol database and the communication interface electrical characteristic database of civil aviation measuring instruments, a protocol compatibility graph is constructed, which defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint condition of the communication interface, specifically including the following steps:

[0092] Step 111: based on the multi-protocol database of civil aviation measuring instruments, a syntax structure field set of the first avionics protocol and the second avionics protocol is acquired, the syntax structure fields with the same semantics in the syntax structure field set are bidirectionally mapped, and an initial semantic mapping relationship table is generated.

[0093] In this step, the syntax structure field set refers to a set of structured fields such as labels, data fields, and check bits defined in a protocol data frame, reflecting the syntax rules of the protocol; the bidirectional mapping operation refers to establishing a bidirectional correspondence of fields between the source protocol and the target protocol; and the initial semantic mapping relationship table refers to a table recording the field mapping relationship and the initial weight between protocols, which is used for subsequent optimization.

[0094] In the embodiment of the application, first, the syntax structure field set of the first avionics protocol and the second avionics protocol is extracted from the multi-protocol database of civil aviation measuring instruments; second, the syntax structure fields with the same semantics are bidirectionally mapped through a semantic similarity matching algorithm; and then an initial semantic mapping relationship table containing field pairs, weights, and mapping directions is generated by assigning an initial weight to the mapping relationship.

[0095] Step 112: the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface of the civil aviation measuring instrument are acquired from the communication interface electrical characteristic database, and the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface are fitted respectively to generate the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval of each data communication interface.

[0096] In this step, the equivalent inductance measurement value set refers to a set of equivalent inductance value data obtained by measuring a certain interface multiple times; the equivalent capacitance measurement value set refers to a set of equivalent capacitance value data obtained by measuring a certain interface multiple times; the fitting operation refers to the process of converting discrete measurement data into a probability distribution model through a mathematical method; the equivalent inductance probability distribution interval refers to the inductance value confidence interval based on the fitting result; and the equivalent capacitance probability distribution interval refers to the capacitance value confidence interval based on the fitting result.

[0097] In the embodiment of the application, first, the historical equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface are acquired from the communication interface electrical characteristic database, and then a Gaussian distribution fitting algorithm is used to calculate the equivalent inductance mean and standard deviation of each interface respectively to generate the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, wherein in the fitting process, outliers are removed to ensure that the distribution interval covers the measured data, thereby improving the reliability of the interval.

[0098] Step 113: based on the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, associating each field mapping relationship in the initial semantic mapping relationship table with a corresponding data communication interface to generate a triple relationship node, the triple relationship node including a data communication interface identifier, a field mapping relationship weight, and an impedance constraint interval.

[0099] In this step, the association operation refers to the process of binding the field mapping relationship with the interface impedance constraint to form multi-dimensional associated data; the triple relationship node refers to a data structure including an interface identifier, a field mapping weight, and an impedance constraint interval, which is used for cluster analysis; the field mapping relationship weight refers to a numerical value reflecting the importance of the mapping relationship, and the initial value is set based on the field semantic importance; the impedance constraint interval refers to the allowed fluctuation range of the interface equivalent inductance and capacitance, which is used to guide impedance matching.

[0100] In the embodiment of the present application, firstly, each field mapping relationship in the initial semantic mapping relationship table is associated with the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval of the corresponding data communication interface; then, a field mapping relationship weight is assigned to each field mapping relationship, and an interface identifier and an impedance constraint interval are combined to generate a triple relationship node.

[0101] Step 114: according to the overlap degree of the impedance constraint interval, performing cluster analysis on the triple relationship nodes, merging nodes meeting a preset condition into the same protocol conversion group to generate multiple protocol conversion groups with common impedance characteristics.

[0102] In this step, the cluster analysis operation refers to a data analysis method of grouping similar nodes, such as hierarchical clustering based on overlap degree; the common impedance characteristic refers to the impedance constraint interval characteristic shared by the interfaces in the same protocol conversion group; the protocol conversion group refers to a set of field mapping relationships with similar impedance constraint characteristics.

[0103] In the embodiment of the present application, firstly, the impedance constraint interval overlap degree of all triple relationship nodes is calculated; then, a hierarchical clustering algorithm is used to group nodes with an overlap degree exceeding a preset threshold, wherein each cluster represents a protocol conversion group, and the nodes in the group have common impedance characteristics; finally, noise clusters with a number of members less than a preset value are removed to generate multiple stable protocol conversion groups.

[0104] Step 115: calculating the impedance sensitivity index of each protocol conversion group, and prioritizing the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map.

[0105] In this step, the impedance sensitivity index refers to an index quantifying the influence of interface impedance deviation on the success rate of protocol conversion, and the higher the value, the higher the priority; the priority sorting refers to sorting the importance of the protocol conversion groups according to the sensitivity index to guide resource allocation.

[0106] In the embodiment of the present application, the impedance sensitivity index of each protocol conversion group is first calculated; then the protocol conversion groups are prioritized in descending order of the sensitivity index, and the higher the sensitivity, the higher the priority; finally, the prioritized protocol conversion groups are integrated according to the hierarchical structure to form a protocol compatibility map, supporting fast retrieval and dynamic adaptation.

[0107] The embodiment of the present application solves the problem of low efficiency caused by the separation of protocol rules and physical interface characteristics in the traditional scheme through bidirectional mapping of protocol fields and impedance probability modeling; the clustering analysis based on the impedance constraint overlap degree generates common protocol conversion groups, reducing redundant configurations; through the priority sorting driven by the sensitivity index, the key interface resources are prioritized for adaptation, significantly improving the stability and dynamic response capability of the multi-protocol communication interface.

[0108] In order to improve the impedance matching accuracy and dynamic adaptability of the abnormal protocol conversion group, this step generates a dynamic impedance strategy by matching candidate impedance configuration parameters and eliminating conflicts. The present application provides a specific embodiment, step 104, obtaining the impedance measurement value of each data communication interface of the civil aviation measuring instrument, matching the candidate impedance configuration parameter suitable for the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, generating a dynamic impedance strategy based on the candidate impedance configuration parameter, specifically including the following steps:

[0109] Step 401: Parallelly monitor the physical connection signal strength of each data communication interface of the civil aviation measuring instrument to obtain the impedance measurement value of the corresponding data communication interface, compare the impedance measurement value of each data communication interface with the impedance constraint interval of the corresponding protocol conversion group, and calculate the impedance deviation of the corresponding protocol conversion group.

[0110] In this step, the physical connection signal strength refers to an index reflecting the electrical connection quality of the data communication interface; the comparison operation refers to the process of comparing the real-time impedance measurement value with the preset constraint interval; the impedance deviation refers to the percentage of the actual impedance value exceeding the boundary of the constraint interval.

[0111] In the embodiment of the present application, the impedance measurement value of each data communication interface of the civil aviation measuring instrument is first obtained by parallelly monitoring the physical connection signal strength of the interface with a vector network analyzer; then the impedance measurement value of each interface is compared with the impedance constraint interval of the corresponding protocol conversion group in the protocol compatibility map to calculate the impedance deviation; finally, the deviation data of each protocol conversion group is recorded for subsequent analysis.

[0112] Step 402: When the impedance deviation of each protocol conversion group exceeds the preset exclusive threshold value of the corresponding protocol conversion group and reaches the set number of periods, the corresponding protocol conversion group is marked as an abnormal protocol conversion group.

[0113] In this step, the preset exclusive threshold value refers to the deviation amount of each protocol conversion group set individually set trigger threshold, for example, the high priority group threshold is 3%, and the ordinary group is 5%; the set period number refers to the minimum number of continuous over-limit trigger marks, which is used to filter incidental interference; the mark operation refers to the process of updating the protocol conversion group state in the protocol compatibility map, including abnormal identification addition and event log recording.

[0114] In the embodiment of the application, first, the preset exclusive threshold value of each protocol conversion group is set, and the trigger period number is configured; then, when the impedance deviation amount of a certain protocol conversion group continuously exceeds its exclusive threshold value to reach the set period number, the mark operation is performed, that is, the state of the group is updated to "abnormal protocol conversion group" in the protocol compatibility map; finally, the timestamp, deviation amount and interface identifier of the abnormal event are recorded.

[0115] Step 403: Collecting the time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group, and generating an extended impedance constraint interval of the abnormal protocol conversion group in combination with the impedance sensitivity index.

[0116] In this step, the time-frequency domain reflection characteristics refer to the interface signal reflection characteristic data obtained by a time domain reflectometer or a frequency domain analyzer, reflecting impedance mutation and signal integrity; the extended impedance constraint interval refers to the allowed range after the original constraint interval is proportionally expanded, which is used to adapt to interface impedance drift.

[0117] In the embodiment of the application, first, the time-frequency domain reflection characteristics of the interface corresponding to the abnormal protocol conversion group are collected by a time domain reflectometer, and the impedance mutation point and signal attenuation characteristics of the interface are analyzed; then, in combination with the impedance sensitivity index of the group, the original constraint interval is proportionally expanded; finally, the expanded impedance constraint interval is generated.

[0118] Step 404: Based on the extended impedance constraint interval, matching a candidate impedance configuration parameter set suitable for the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set.

[0119] In this step, the matching operation refers to the process of screening impedance configuration parameters that meet the extended interval condition from the parameter set, using interval inclusion or similarity calculation algorithm; the candidate impedance configuration parameter set refers to the impedance parameter combination that may adapt to the abnormal interface, which needs to be further optimized.

[0120] In the embodiment of the application, first, according to the extended impedance constraint interval, candidate parameters that meet the following conditions are screened from the impedance configuration parameter set: the equivalent inductance value falls within the extended interval, and the deviation of the equivalent capacitance value from the measured capacitance value of the target interface is less than 10%; then, the matching operation uses the interval inclusion algorithm, that is, if parameter A and parameter B both meet the condition, they are added to the candidate impedance configuration parameter set.

[0121] Step 405: Conflict resolution and fusion processing are performed on the candidate impedance configuration parameter set to generate a dynamic impedance strategy.

[0122] In this step, the conflict resolution operation refers to the process of solving the impedance interval overlap or mutual exclusion problem between candidate parameters, such as priority assignment or parameter fusion; the fusion processing operation refers to the method of combining multiple candidate parameters to generate a new parameter according to the weight, such as weighted average or interval intersection.

[0123] In an embodiment of the present application, first, the conflict resolution operation is performed on the candidate impedance configuration parameter set to identify the equivalent inductance conflict interval between different parameters, and the optimal parameter within the conflict interval is preferentially assigned to the high-priority protocol conversion group; then, the remaining parameters are fused by the weighted average method to generate a fusion parameter set; finally, it is verified whether the fusion parameter meets the extension constraint condition of all abnormal groups, and the dynamic impedance strategy is generated after removing the conflict items, with the main parameter being 55nH / 200pF and the backup parameter being 58nH / 195pF.

[0124] Through real-time monitoring and dynamic extension mechanism, the embodiment of the present application solves the problems of interface impedance drift detection lag and static interval adaptation failure in the traditional scheme; based on the extension strategy of time-frequency domain reflection characteristics and sensitivity index, the adaptation accuracy of abnormal interfaces is improved; the conflict resolution and fusion processing ensure the collaborative optimization of multiple parameters, and significantly enhance the stability and anti-interference ability of civil aviation measurement instrument interfaces under complex working conditions.

[0125] In order to solve the problem of matching failure caused by the conflict between candidate impedance configuration parameters, this step generates a dynamic impedance strategy through conflict feature recognition and parameter fusion. The present application provides a specific embodiment, step 405, conflict resolution and fusion processing are performed on the candidate impedance configuration parameter set to generate a dynamic impedance strategy, which specifically includes the following steps:

[0126] Step 451: Calculate the absolute value of the difference between the equivalent inductance value and the equivalent capacitance value of each candidate impedance configuration parameter in the candidate impedance configuration parameter set and the boundary value of the extended impedance constraint interval to generate inductance deviation and capacitance deviation.

[0127] In this step, the absolute value of the difference refers to the absolute difference between the equivalent inductance value or the equivalent capacitance value of the candidate parameter and the corresponding boundary value of the extended impedance constraint interval, which is used to quantify the parameter adaptation deviation degree; the inductance deviation and the capacitance deviation refer to the absolute value of the difference between the equivalent value of the candidate parameter and the boundary value of the extended interval, which reflects the degree of parameter deviation from the constraint interval.

[0128] In the embodiment of the present application, first, the absolute value of the difference between the equivalent inductance value of each parameter in the candidate impedance configuration parameter set and the inductance boundary of the extended impedance constraint interval, and the absolute value of the difference between the equivalent capacitance value and the capacitance boundary, are calculated; then, they are recorded as the inductance deviation and the capacitance deviation, respectively, for subsequent conflict analysis.

[0129] Step 452: Identify the conflict feature range in which the difference between the inductance deviation and the capacitance deviation of all candidate impedance configuration parameters in the same abnormal protocol conversion group exceeds the set conflict threshold.

[0130] In this step, the conflict threshold refers to the difference critical value for determining the conflict between parameters, which is dynamically set based on the priority of the protocol conversion group; the conflict feature range refers to the conflict interval covered by the impedance values of multiple candidate parameters, which may cause the impedance range to fail to adapt.

[0131] In the embodiment of the present application, first, the inductance deviation and the capacitance deviation of all candidate parameters in the same abnormal protocol conversion group are compared horizontally, and if the deviation difference of a parameter pair exceeds the set conflict threshold, the impedance value range covered thereby is extracted as the conflict feature range.

[0132] Step 453: Select the target candidate impedance configuration parameter whose equivalent inductance value and equivalent capacitance value are both within the extended impedance constraint interval in the conflict feature range, and mark the target candidate impedance configuration parameter with the smallest sum of the inductance deviation and the capacitance deviation as the selected parameter.

[0133] In this step, the target candidate impedance configuration parameter refers to the candidate parameter that meets the extended constraint condition and has the smallest deviation sum; the selected parameter refers to the optimal candidate parameter determined through conflict selection.

[0134] In the embodiment of the present application, first, the candidate parameters whose equivalent inductance and capacitance values are both within the extended impedance constraint interval are selected from the conflict feature range; then, the sum of the inductance deviation and the capacitance deviation of each parameter is calculated, and the parameter with the smallest sum is marked as the selected parameter.

[0135] Step 454: Remove the candidate impedance configuration parameters in the candidate impedance configuration parameter set that have overlapping conflict feature ranges with the equivalent inductance value and the equivalent capacitance value of the selected parameter, to obtain an intermediate candidate impedance configuration parameter set.

[0136] In this step, the overlapping conflict feature range refers to the interval of other candidate parameters that overlaps with the impedance value range of the selected parameter and needs to be excluded; the intermediate candidate impedance configuration parameter set refers to the candidate parameter subset after removing the conflict parameters, which is used for secondary optimization.

[0137] In the embodiment of the present application, first, parameters in the candidate impedance configuration parameter set that have overlapping conflict characteristic ranges with the selected parameter in terms of equivalent inductance value and equivalent capacitance value are identified; then, the parameters having the overlapping conflict characteristic ranges are removed from the set to form an intermediate candidate impedance configuration parameter set.

[0138] Step 455: Calculate the deviation amount weighted result of each intermediate candidate impedance configuration parameter in the intermediate candidate impedance configuration parameter set, and take the intermediate candidate impedance configuration parameter with the lowest deviation amount weighted result as the reference parameter.

[0139] In this step, the deviation amount weighted result refers to the comprehensive score of inductance and capacitance deviation amount calculated according to preset weights, and the weights reflect the physical layer adaptation priority; the reference parameter refers to the parameter with the optimal comprehensive score in the intermediate set, which is taken as the fusion reference.

[0140] In the embodiment of the present application, first, the deviation amount weighted result of each parameter in the intermediate candidate impedance configuration parameter set is calculated, and the weighted result is the product of inductance deviation amount and preset inductance weight plus the product of capacitance deviation amount and preset capacitance weight; then, the parameter with the lowest weighted result is selected as the reference parameter.

[0141] Step 456: Superimpose the equivalent inductance value and equivalent capacitance value of the intermediate candidate impedance configuration parameters whose deviation amount weighted result difference is within a preset tolerance range and the reference parameter to generate a fusion parameter.

[0142] In this step, the superimposition operation refers to a method of taking the average of the equivalent values of multiple parameters to generate a new parameter for balancing conflicts; and the fusion parameter operation refers to a compatible parameter generated by superimposition, which takes into account the characteristics of multiple candidate parameters.

[0143] In the embodiment of the present application, first, parameters in the intermediate candidate impedance configuration parameter set whose deviation amount weighted result difference from the reference parameter is within a preset tolerance range are screened; then, the equivalent inductance value and equivalent capacitance value of the parameters within the preset tolerance range are respectively taken as the arithmetic mean to generate a fusion parameter.

[0144] Step 457: Merge the selected parameter and the fusion parameter to generate a dynamic impedance strategy.

[0145] In this step, the merging operation refers to the process of integrating the preferred parameter and the fusion parameter to form a final strategy.

[0146] In the embodiment of the present application, first, the selected parameters are combined with the fusion parameters into a candidate scheme set, if the parameter superposition causes the equivalent inductance value or the equivalent capacitance value to exceed the original impedance constraint interval, the truncation processing is performed according to the interval boundary value; then, whether the candidate scheme meets the extension constraint condition of all abnormal protocol conversion groups is verified; finally, the dynamic impedance strategy containing the main and backup parameter combinations is generated after eliminating the conflict items.

[0147] The embodiment of the present application solves the interface mismatch problem caused by multi-parameter adaptation conflict through accurate quantification of candidate parameter deviation identification conflict range and multi-dimensional fusion optimization; generates the main and backup strategies based on the weighted scoring and conflict resolution mechanism, and improves the stability and anti-interference ability of the civil aviation measurement instrument interface under complex working conditions.

[0148] In order to solve the protocol conversion error caused by the missing of semantic mapping field and the out-of-range of data range, this step generates an adaptive protocol conversion rule set by adjusting the priority parameter and the extension constraint range. The present application provides a specific embodiment, step 105, according to the semantic consistency verification result of the target data frame, adjusting the associated parameters of the semantic mapping relationship and the preset data frame conversion rule, to generate an adaptive protocol conversion rule set, specifically including the following steps:

[0149] Step 501: Analyze the field missing identifier and the data range out-of-limit identifier in the semantic consistency verification result of the target data frame, and according to the field missing identifier and the data range out-of-limit identifier, count the field missing times and the out-of-limit deviation amount corresponding to the semantic mapping relationship.

[0150] In this step, the analysis operation refers to the process of structured analysis of the semantic consistency verification result, extracting the field missing and out-of-limit identifier; the data range out-of-limit identifier refers to the event information recording that the target field value exceeds the preset data range, including the out-of-limit direction and the amplitude; the statistical operation refers to the calculation process of quantitatively accumulating the field missing times and the out-of-limit deviation amount; the out-of-limit deviation amount refers to the percentage difference of the target field value exceeding the constraint range, which is used to quantify the severity of data out-of-limit.

[0151] In the embodiment of the present application, first, the semantic consistency verification result of the target data frame is analyzed by the analysis operation, and the field missing identifier and the data range out-of-limit identifier are extracted; then, the field missing times and the out-of-limit deviation amount corresponding to each semantic mapping relationship are counted, that is, the cumulative number of field missing events and the percentage difference of the target field value exceeding the constraint range under the mapping relationship.

[0152] Step 502: According to the field missing times, the priority parameter of the semantic mapping relationship is de-weighted to obtain the adjusted priority parameter.

[0153] In this step, the priority parameter refers to a weight value reflecting the importance of the field mapping relationship, and the initial value is set based on the field semantic importance; the weight reduction processing operation refers to an adjustment process of reducing the priority parameter in proportion according to the field missing times; the adjusted priority parameter refers to the field mapping weight value after weight reduction, and is used to guide rule reorganization.

[0154] In the embodiment of the present application, first, the original priority parameter is multiplied by a preset weight reduction coefficient to generate an adjusted priority parameter; then, the weight reduction coefficient is dynamically adjusted according to the sensitivity of the protocol conversion group, wherein the weight reduction amplitude of the key field is lower than that of the non-key field.

[0155] Step 503: based on the over-limit deviation, the constraint range of the associated parameter of the preset data frame conversion rule is extended and adjusted to generate an updated associated parameter.

[0156] In this step, the preset data frame conversion rule refers to a predefined protocol field mapping sequence and a data constraint rule set; the extension adjustment operation refers to an operation of dynamically extending or shrinking the data constraint range according to the over-limit deviation; the updated associated parameter refers to an adaptive parameter set containing the extended data constraint range and the adjusted priority.

[0157] In the embodiment of the present application, first, the associated parameter in the preset data frame conversion rule is extended and adjusted based on the over-limit deviation, wherein for positive over-limit, the upper limit of the constraint range is extended by the proportion of the over-limit deviation, and for negative over-limit, the lower limit of the constraint range is reduced by the proportion of the deviation; then, the extended constraint range and the original parameter are combined to generate an updated associated parameter.

[0158] Step 504: the adjusted priority parameter and the updated associated parameter are bound with the semantic mapping relationship to generate a bound mapping relationship set.

[0159] In this step, the binding operation refers to the process of integrating the adjusted parameter with the original semantic mapping relationship; the bound mapping relationship set refers to a complete rule description set containing the priority parameter, the constraint range and the mapping relationship.

[0160] In the embodiment of the present application, first, the adjusted priority parameter and the updated associated parameter are bound with the original semantic mapping relationship, wherein the binding process includes attaching the adjusted priority parameter and the extended constraint range to each field mapping relationship; then, a bound mapping relationship set containing complete adaptive information is formed.

[0161] Step 505: according to the adjusted priority parameter, the field mapping sequence of the preset data frame conversion rule is reorganized to generate a preliminary protocol conversion rule set.

[0162] In this step, the field mapping order refers to the sequence of field processing in the protocol conversion process; the reorganization operation refers to an optimization process of rearranging the field processing order according to the priority parameter; and the preliminary protocol conversion rule set refers to a rule set after reorganization and before threshold filtering, which may have conflicts or vulnerabilities.

[0163] In the embodiment of the present application, first, the reorganization operation arranges the field mapping order in descending order of the priority parameter, wherein high-priority fields are processed first and low-priority fields are processed later; and then the rule set after reorganization forms the preliminary protocol conversion rule set.

[0164] Step 506: Extract target protocol conversion rules in the preliminary protocol conversion rule set that meet preset integrity thresholds and consistency thresholds to generate an adaptive protocol conversion rule set.

[0165] In this step, the preset integrity threshold refers to the minimum proportion of key fields that a protocol conversion rule must cover; the consistency threshold refers to the complete consistency of the mapping direction of the same field in all rules; and the target protocol conversion rule refers to a high-reliability conversion rule set filtered by the threshold.

[0166] In the embodiment of the present application, first, rules that meet the preset integrity threshold and the consistency threshold are extracted from the preliminary protocol conversion rule set, wherein the integrity threshold requires that the rule must cover the mapping relationship of all key fields, and the consistency threshold requires that the mapping direction of the same field in all rules is consistent; and then conflict or incomplete rules are removed by threshold filtering to generate the final adaptive protocol conversion rule set.

[0167] The embodiment of the present application solves the problems of field loss and data overrun caused by the solidification of protocol conversion rules in the traditional scheme through the dynamic weight reduction and constraint expansion mechanism; and based on the priority-driven rule reorganization and threshold filtering, the reliability and data consistency of key field conversion are improved, and the semantic integrity and adaptability of the multi-protocol interface of civil aviation measuring instruments in complex data scenarios are significantly enhanced.

[0168] In order to solve the protocol conversion compliance problem caused by the insufficient directional constraint of the overrun deviation, this step generates updated associated parameters through directional expansion of the constraint range and conflict detection. The present application provides one specific embodiment, step 503, which expands and adjusts the constraint range of the associated parameters of the preset data frame conversion rule based on the overrun deviation amount to generate updated associated parameters, specifically including the following steps:

[0169] Step 531: Identify whether the overrun direction of the target field in the semantic mapping relationship is positive overrun or negative overrun to extract the overrun amplitude value corresponding to the target field.

[0170] In this step, the over-limit direction refers to the direction of the target field value exceeding the preset constraint range, which is divided into positive over-limit and negative over-limit; the positive over-limit refers to the state that the actual value of the target field exceeds the upper limit value of the preset constraint range, and the upper limit needs to be extended to adapt to data fluctuation; the negative over-limit refers to the state that the actual value of the target field is lower than the lower limit value of the preset constraint range, and the lower limit needs to be extended to avoid data loss; the over-limit amplitude value refers to the absolute difference between the actual value of the target field and the constraint boundary value, which is used to quantify the amplitude of the extension adjustment.

[0171] In the embodiment of the application, first, the over-limit direction of the target field in the semantic mapping relationship is identified, that is, it is judged whether the direction of the target field value exceeding the preset constraint range is positive over-limit or negative over-limit; then, the corresponding over-limit amplitude value, that is, the absolute difference between the actual value of the target field and the constraint boundary value, is extracted.

[0172] Step 532: The boundary constraint range of the associated parameter of the preset data frame conversion rule is extended according to the over-limit direction to generate a preliminary extended constraint range, wherein when the over-limit direction is positive over-limit, the upper limit value of the preliminary extended constraint range is extended by the over-limit amplitude value, and when the over-limit direction is negative over-limit, the lower limit value of the preliminary extended constraint range is extended by the over-limit amplitude value.

[0173] In this step, the boundary constraint range refers to the value range allowed by the target field defined in the preset data frame conversion rule; the extension operation refers to the process of adjusting the boundary of the constraint range according to the over-limit direction and amplitude; and the preliminary extended constraint range refers to the extended constraint range without conflict detection.

[0174] In the embodiment of the application, the boundary constraint range of the associated parameter of the preset data frame conversion rule is extended according to the over-limit direction, wherein if it is positive over-limit, the upper limit value of the constraint range is extended by the over-limit amplitude value, and if it is negative over-limit, the lower limit value of the constraint range is extended by the over-limit amplitude value; secondly, the extension ratio is dynamically adjusted based on the sensitivity index of the protocol conversion group, and the higher the sensitivity, the smaller the extension ratio.

[0175] Step 533: The preliminary extended constraint range is subjected to conflict detection to generate a compliant extended constraint range, so that the upper limit value of the preliminary extended constraint range of the positive over-limit is truncated to the upper limit value of the impedance constraint interval, and the lower limit value of the preliminary extended constraint range of the negative over-limit is raised to the lower limit value of the impedance constraint interval.

[0176] In this step, the conflict detection operation refers to the process of checking whether the extended constraint range conflicts with other field constraint ranges and modifying the conflict interval.

[0177] In the embodiment of the present application, firstly, the conflict detection operation is performed on the preliminary extended constraint range, whether the extended upper limit value exceeds the upper limit of the original impedance constraint interval of the corresponding protocol conversion group is detected, if it exceeds, the upper limit value is truncated to the upper limit of the original impedance constraint interval, and a positive compliance extended range is generated; then whether the extended lower limit value is lower than the lower limit of the original impedance constraint interval is detected, if it is lower, the lower limit value is raised to the lower limit of the original impedance constraint interval; finally, a negative compliance extended range is generated.

[0178] Step 534: The compliance extended constraint range is directionally fused with the associated parameters of the preset data frame conversion rule, and an updated associated parameter is generated.

[0179] In this step, the compliance extended constraint range refers to the constraint range modified after conflict detection, which ensures no overlap with other constraint conditions and complies with global restrictions; the directional fusion operation refers to the process of integrating the compliance extended constraint range with the original constraint parameter, which retains the effective constraint and replaces the over-limit part.

[0180] In the embodiment of the present application, firstly, the compliance extended constraint range is directionally fused with the associated parameters of the preset data frame conversion rule, the range of the non-over-limit field in the original constraint parameter is retained; then the constraint range of the over-limit field is replaced by the compliance extended constraint range; finally, the updated associated parameter containing the dynamically adjusted constraint condition is generated.

[0181] The embodiment of the present application realizes accurate expansion of the constraint range by dynamically identifying the over-limit direction and amplitude, solves the frequent data over-limit problem caused by the static range in the traditional scheme; the conflict detection and compliance modification mechanism guarantees the global compatibility of the expanded constraint range, avoiding multi-field constraint conflicts; the directional fusion ensures the integrity of the key data, significantly improving the reliability and environmental adaptability of the protocol conversion.

[0182] In order to improve the collaborative efficiency of impedance matching and protocol conversion, this step generates communication interface adaptive parameters through joint coding optimization and load compensation. The present application provides a specific embodiment, step 106, the dynamic impedance strategy and the adaptive protocol conversion rule set are cooperatively optimized to generate communication interface adaptive parameters, to realize adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument, specifically including the following steps:

[0183] Step 601: The equivalent inductance value and the equivalent capacitance value in the dynamic impedance strategy are jointly coded with the field mapping sequence in the adaptive protocol conversion rule set, to generate an optimized parameter space.

[0184] In this step, the joint coding operation refers to a process of converting different parameter types into a unified coding form for constructing a parameter optimization space; the optimization parameter space refers to a multi-dimensional space composed of combinations of all possible equivalent inductance values, equivalent capacitance values and field mapping sequences, each dimension corresponding to an adjustable parameter, for searching for an optimal parameter configuration.

[0185] In the embodiment of the present application, firstly, the numerical set of equivalent inductance values and equivalent capacitance values corresponding to all candidate impedance configuration parameter pairs is extracted from the dynamic impedance strategy, and the priority parameter of the field mapping sequence and the weight value of the field mapping relationship are obtained from the adaptive protocol conversion rule set; then the equivalent inductance values and the equivalent capacitance values are quantized into discrete parameter dimensions respectively, and the field mapping sequence is converted into a sequence encoding value, and the three are combined into a unified parameter representation form by means of multi-dimensional vector coding. Finally, all possible parameter combinations form a multi-dimensional space.

[0186] Step 602: Based on the priority order of the protocol conversion group, a joint evaluation function of protocol conversion delay and impedance matching accuracy is established in the optimization parameter space.

[0187] In this step, the protocol conversion delay refers to the time consumption from receiving the original data frame to outputting the target data frame; the impedance matching accuracy refers to the closeness of the actual impedance configuration value to the target impedance constraint interval, which is calculated by weighting the absolute value of the deviation of the equivalent inductance and capacitance; the joint evaluation function refers to a scoring function that combines the protocol conversion delay and the impedance matching accuracy, which quantifies the comprehensive performance of the parameter combination by weighted summation.

[0188] In the embodiment of the present application, firstly, different weight coefficients are assigned to each protocol conversion group according to the priority order of the protocol conversion group in the protocol compatibility map; then based on the protocol conversion delay and the impedance matching accuracy, a joint evaluation function is constructed; finally, the joint evaluation function adopts a weighted summation method to fuse the delay and the accuracy into a single scoring index according to the priority weight, which is used to quantify the optimization degree of the parameter combination.

[0189] Step 603: Traverse the optimization parameter space, and select the combination of equivalent inductance values, equivalent capacitance values and field mapping sequences that makes the joint evaluation function optimal as the initial optimization parameter combination.

[0190] In this step, the initial optimization parameter combination refers to the combination of inductance values, capacitance values and field sequences with the highest joint evaluation function score in the optimization parameter space, which is used as the reference parameter before load compensation.

[0191] In the embodiment of the present application, firstly, a heuristic search algorithm is used to traverse all candidate parameter combinations in the optimization parameter space; then invalid parameter combinations with overlapping conflicts with the characteristic range are excluded through constraint conditions; finally, the combination of the equivalent inductance value, the equivalent capacitance value and the field mapping order with the highest score is selected as the initial optimization parameter combination to ensure the optimal comprehensive performance in terms of latency and accuracy.

[0192] Step 604: According to the overlapping conflict characteristic range and the field missing identifier, the initial optimization parameter combination is compensated for load fluctuation in a real-time communication environment to generate a compensated optimization parameter.

[0193] In this step, the real-time communication environment refers to an actual communication scenario containing dynamic load fluctuation, signal interference and connection state change, which needs to be adapted through parameter compensation; the load fluctuation compensation refers to the process of adjusting the impedance parameters and the field mapping rule according to the real-time load change; and the compensated optimization parameter refers to the final parameter configuration after load fluctuation compensation.

[0194] In the embodiment of the present application, firstly, the load fluctuation data of the communication interface is monitored in real time to identify the influence of the load fluctuation on the initial optimization parameter combination; secondly, the inductance value and the capacitance value in the initial optimization parameter are dynamically compensated according to the overlapping conflict characteristic range and the field missing identifier; then the priority weight of the field mapping order is corrected according to the field missing frequency; finally, the compensated optimization parameter is generated to adapt to the changes in the real-time communication environment.

[0195] Step 605: According to the data communication interface identifier of the protocol conversion group, the compensated optimization parameter is distributed to the corresponding adaptive impedance matching network and protocol conversion engine to generate a communication interface adaptive parameter containing impedance matching parameters and protocol conversion parameters, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0196] In this step, the protocol conversion engine refers to a software module for performing data frame format conversion, which realizes field mapping, data range adjustment and verification processing according to the protocol conversion rule set; the impedance matching parameter refers to the circuit configuration parameter of the adaptive impedance matching network; the protocol conversion parameter refers to the rule parameter required by the protocol conversion engine; and the adaptive processing operation refers to a closed-loop control process of dynamically adjusting the impedance matching and protocol conversion parameters according to the real-time environment to ensure interface compatibility and communication stability.

[0197] In the embodiment of the application, first, the equivalent inductance value and the equivalent capacitance value in the compensated optimization parameter are issued to the corresponding adaptive impedance matching network according to the data communication interface identifier of the protocol conversion group, and the circuit configuration thereof is updated; second, the field mapping order and the priority parameter are sent to the protocol conversion engine, and the data frame conversion logic is reconstructed; and finally, the generated communication interface adaptive parameter includes the impedance matching parameter and the protocol conversion parameter, so as to realize adaptive processing of the multi-protocol data communication interface.

[0198] The embodiment of the application optimizes the dynamic impedance matching and the protocol conversion rule, first, the parameter optimization efficiency is improved by combining the encoding and the evaluation function; second, the real-time environmental adaptability is enhanced by the load compensation mechanism; then, the processing performance of the key protocol group is ensured by the priority sorting and the conflict resolution; finally, the impedance matching accuracy and the protocol conversion delay requirement are met by distributing the adaptive parameter, and the reliability and the compatibility of the multi-protocol communication are significantly improved.

[0199] Figure 2 A structure diagram of an adaptive processing system of a multi-protocol data communication interface of a civil aviation metrological instrument is provided for the embodiment of the application, as shown in the figure, the system comprises: Figure 2

[0200] A construction module 21 is configured to construct a protocol compatibility atlas based on a multi-protocol database of the civil aviation metrological instrument and a communication interface electrical characteristic database, the protocol compatibility atlas defines a semantic mapping relationship between a first avionics protocol and a second avionics protocol, and an impedance parameter constraint condition of the communication interface;

[0201] A configuration module 22 is configured to configure an adaptive impedance matching network, adjust the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint condition, and generate an impedance configuration parameter set;

[0202] A conversion module 23 is configured to convert an original data frame of the first avionics protocol into a target data frame conforming to the second avionics protocol based on the semantic mapping relationship;

[0203] A matching module 24 is configured to obtain impedance measurement values of each data communication interface of the civil aviation metrological instrument, match candidate impedance configuration parameters suitable for the data communication interface of an abnormal protocol conversion group from the impedance configuration parameter set, and generate a dynamic impedance strategy based on the candidate impedance configuration parameters;

[0204] An adjustment module 25 is configured to adjust the associated parameters of the semantic mapping relationship and a preset data frame conversion rule according to a semantic consistency verification result of the target data frame, so as to generate an adaptive protocol conversion rule set;

[0205] ​The optimization module 26 is configured to optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate a communication interface adaptive parameter to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrological instrument.

[0206] Figure 2 The adaptive processing system of the multi-protocol data communication interface of the civil aviation metrological instrument can perform Figure 1 The adaptive processing method of the multi-protocol data communication interface of the civil aviation metrological instrument in the embodiment has been described above, and the implementation principle and technical effects will not be repeated here. The specific operation of each module and unit in the adaptive processing system of the multi-protocol data communication interface of the civil aviation metrological instrument in the above embodiment has been described in detail in the embodiment related to the method, and will not be described in detail here.

[0207] In one possible design, Figure 2 The adaptive processing system of the multi-protocol data communication interface of the civil aviation metrological instrument in the embodiment can be implemented as a computing device, such as Figure 3 As shown in the figure, the computing device can include a storage component 31 and a processing component 32.

[0208] The storage component 31 stores one or more computer instructions, wherein the one or more computer instructions are called and executed by the processing component 32.

[0209] The processing component 32 is configured to: based on a multi-protocol database of a civil aviation metrological instrument and a communication interface electrical characteristic database, construct a protocol compatibility graph, the protocol compatibility graph defining a semantic mapping relationship between a first avionics protocol and a second avionics protocol, and impedance parameter constraint conditions of a communication interface; configure an adaptive impedance matching network, adjust equivalent inductance value and equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions, and generate an impedance configuration parameter set; based on the semantic mapping relationship, convert an original data frame of the first avionics protocol into a target data frame conforming to the second avionics protocol; obtain impedance measurement values of each data communication interface of the civil aviation metrological instrument to match a candidate impedance configuration parameter adapted to a data communication interface of an abnormal protocol conversion group from the impedance configuration parameter set, generate a dynamic impedance strategy based on the candidate impedance configuration parameter; adjust associated parameters of the semantic mapping relationship and a preset data frame conversion rule based on a semantic consistency verification result of the target data frame to generate an adaptive protocol conversion rule set; and optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate a communication interface adaptive parameter to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrological instrument.

[0210] The processing component 32 can include one or more processors to execute computer instructions to complete all or part of the steps in the above method. Of course, the processing component can also be one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components, for executing the above method.

[0211] The storage component 31 is configured to store various types of data to support the operation of the terminal. The storage component can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk or optical disk.

[0212] Of course, the computing device can also include other components, such as an input / output interface, a display component, a communication component, etc.

[0213] The input / output interface provides an interface between the processing component and the peripheral interface module, which can be an output device, an input device, etc.

[0214] The communication component is configured to facilitate wired or wireless communication between the computing device and other devices, etc.

[0215] The computing device can be a physical device or an elastic computing host provided by a cloud computing platform, and the computing device can be a cloud server, and the processing component, the storage component, etc. can be a basic server resource rented or purchased from the cloud computing platform.

[0216] The embodiment of the application also provides a computer storage medium, which stores a computer program, and the computer program can implement the above Figure 1 An adaptive processing method of a civil aviation metrological instrument multi-protocol data communication interface.

[0217] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device and unit can refer to the corresponding process in the foregoing method embodiments, which will not be described here.

[0218] The device embodiments described above are merely illustrative, wherein the units described as separate components can or can not be physically separate, and the components displayed as units can or can not be physical units, i.e., can be located in one place, or can be distributed to multiple network units. Part or all of the modules can be selected to achieve the purposes of the embodiments according to actual needs. Those skilled in the art can understand and implement without creative labor.

[0219] Through the description of the above embodiments, those skilled in the art can clearly understand that the embodiments can be realized by means of software and the necessary general hardware platform, and of course can also be realized by hardware. Based on such understanding, the above technical solutions can be embodied in the form of a software product, which can be stored in a computer readable storage medium, such as a ROM / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in each embodiment or some parts of the embodiments.

[0220] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: it can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. An adaptive processing method for multi-protocol data communication interfaces of civil aviation metrology instruments, characterized in that, include: Based on the multi-protocol database and communication interface electrical characteristic database of civil aviation metrology instruments, a protocol compatibility map is constructed. The protocol compatibility map defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, as well as the impedance parameter constraints of the communication interface. Configure an adaptive impedance matching network, and adjust the equivalent inductance and equivalent capacitance values ​​of the adaptive impedance matching network according to the impedance parameter constraints to generate an impedance configuration parameter set; Based on the semantic mapping relationship, the original data frame of the first avionics protocol is converted into a target data frame that conforms to the second avionics protocol; Obtain the impedance measurement values ​​of each data communication interface of the civil aviation metrology instrument, so as to match the candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, and generate a dynamic impedance strategy based on the candidate impedance configuration parameters. Based on the semantic consistency verification result of the target data frame, the association parameters between the semantic mapping relationship and the preset data frame conversion rules are adjusted to generate an adaptive protocol conversion rule set; The dynamic impedance strategy and the adaptive protocol conversion rule set are co-optimized to generate adaptive parameters for the communication interface, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrology instrument. Based on a multi-protocol database of civil aviation metrology instruments and a database of electrical characteristics of communication interfaces, a protocol compatibility map is constructed. This map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, as well as the impedance parameter constraints of the communication interfaces, including: Based on the multi-protocol database of civil aviation measuring instruments, obtain the syntactic structure field set of the first aviation electronic protocol and the second aviation electronic protocol, and perform bidirectional mapping on the semantically identical syntactic structure fields in the syntactic structure field set to generate an initial semantic mapping relationship table. The equivalent inductance measurement set and equivalent capacitance measurement set of each data communication interface of the civil aviation measuring instrument are obtained from the communication interface electrical characteristic database. The equivalent inductance measurement set and equivalent capacitance measurement set of each data communication interface are fitted to generate the equivalent inductance probability distribution interval and equivalent capacitance probability distribution interval of each data communication interface. Based on the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, each field mapping relationship in the initial semantic mapping relationship table is associated with the corresponding data communication interface to generate a triplet relationship node. The triplet relationship node includes a data communication interface identifier, field mapping relationship weights, and impedance constraint intervals. Based on the overlap of the impedance constraint intervals, the triplet relationship nodes are clustered, and nodes that meet the preset conditions are merged into the same protocol conversion group, generating multiple protocol conversion groups with common impedance characteristics. Calculate the impedance sensitivity index for each protocol conversion group, and prioritize the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map; Obtain the impedance measurement values ​​of each data communication interface of the civil aviation metrology instrument, and match candidate impedance configuration parameters adapted to the data communication interfaces of the abnormal protocol conversion group from the impedance configuration parameter set. Based on the candidate impedance configuration parameters, generate a dynamic impedance strategy, including: The physical connection signal strength of each data communication interface of the civil aviation metrology instrument is monitored in parallel to obtain the impedance measurement value of the corresponding data communication interface. The impedance measurement value of each data communication interface is compared with the impedance constraint range of the corresponding protocol conversion group to calculate the impedance deviation of the corresponding protocol conversion group. When the impedance deviation of each protocol conversion group exceeds the preset exclusive threshold of the corresponding protocol conversion group and reaches the set number of cycles, the corresponding protocol conversion group is marked as an abnormal protocol conversion group. The time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group are collected, and the extended impedance constraint range of the abnormal protocol conversion group is generated by combining the impedance sensitivity index. Based on the extended impedance constraint range, a set of candidate impedance configuration parameters that are compatible with the data communication interface of the abnormal protocol conversion group are matched from the impedance configuration parameter set. The candidate impedance configuration parameter set is subjected to conflict resolution and fusion processing to generate a dynamic impedance strategy.

2. The method according to claim 1, characterized in that, The candidate impedance configuration parameter set is subjected to conflict resolution and fusion processing to generate a dynamic impedance strategy, including: Calculate the absolute value of the difference between the equivalent inductance and equivalent capacitance values ​​of each candidate impedance configuration parameter in the candidate impedance configuration parameter set and the boundary value of the extended impedance constraint interval to generate the inductance deviation and capacitance deviation. The conflict characteristic range is identified where the differences in inductance and capacitance deviations of all candidate impedance configuration parameters within the same abnormal protocol conversion group exceed the set conflict threshold. Target candidate impedance configuration parameters whose equivalent inductance and equivalent capacitance values ​​are both within the extended impedance constraint range within the conflict feature range are selected, and the target candidate impedance configuration parameter with the smallest sum of inductance deviation and capacitance deviation is marked as the selected parameter. Remove candidate impedance configuration parameters from the candidate impedance configuration parameter set that have overlapping and conflicting characteristic ranges with the equivalent inductance and equivalent capacitance values ​​of the selected parameter, and obtain an intermediate candidate impedance configuration parameter set; Calculate the weighted result of the deviation for each intermediate candidate impedance configuration parameter in the set of intermediate candidate impedance configuration parameters, and take the intermediate candidate impedance configuration parameter with the lowest weighted result of deviation as the benchmark parameter; The equivalent inductance and equivalent capacitance values ​​of the intermediate candidate impedance configuration parameters whose weighted difference of all deviations is within a preset tolerance range are superimposed with the reference parameters to generate a fused parameter. The selected parameters and the fusion parameters are combined to generate a dynamic impedance strategy.

3. The method according to claim 1, characterized in that, Based on the semantic consistency verification result of the target data frame, the association parameters between the semantic mapping relationship and the preset data frame conversion rules are adjusted to generate an adaptive protocol conversion rule set, including: Parse the field missing identifier and data range exceeding identifier in the semantic consistency verification result of the target data frame, and count the number of field missing and the amount of exceeding the limit corresponding to the semantic mapping relationship based on the field missing identifier and data range exceeding the limit identifier; Based on the number of times the field is missing, the priority parameter of the semantic mapping relationship is downweighted to obtain the adjusted priority parameter; Based on the aforementioned excess deviation, the constraint range of the associated parameters of the preset data frame conversion rule is expanded and adjusted to generate updated associated parameters. The adjusted priority parameters and the updated association parameters are bound to the semantic mapping relationship to generate a binding mapping relationship set; The field mapping order of the preset data frame conversion rule is reorganized according to the adjusted priority parameter to generate a preliminary protocol conversion rule set; Extract the target protocol conversion rules that satisfy the preset integrity threshold and consistency threshold from the preliminary protocol conversion rule set to generate an adaptive protocol conversion rule set.

4. The method according to claim 3, characterized in that, Based on the aforementioned excess deviation, the constraint range of the associated parameters of the preset data frame conversion rule is expanded and adjusted to generate updated associated parameters, including: Identify whether the direction of the exceedance of the target field in the semantic mapping relationship is positive or negative, so as to extract the exceedance magnitude value corresponding to the target field; The boundary constraint range of the associated parameters of the preset data frame conversion rule is expanded according to the over-limit direction to generate a preliminary expanded constraint range. When the over-limit direction is positive, the upper limit of the preliminary expanded constraint range is expanded according to the over-limit amplitude value. When the over-limit direction is negative, the lower limit of the preliminary expanded constraint range is expanded according to the over-limit amplitude value. Conflict detection is performed on the initial extended constraint range to generate a compliant extended constraint range, so that the upper limit of the initial extended constraint range with positive overshoot is truncated to the upper limit of the impedance constraint range, and the lower limit of the initial extended constraint range with negative overshoot is raised to the lower limit of the impedance constraint range. The compliant extended constraint range is directionally fused with the associated parameters of the preset data frame conversion rules to generate updated associated parameters.

5. The method according to claim 1, characterized in that, The dynamic impedance strategy and the adaptive protocol conversion rule set are co-optimized to generate adaptive parameters for the communication interface, thereby enabling adaptive processing of the multi-protocol data communication interface of the civil aviation metrology instrument, including: The equivalent inductance and equivalent capacitance values ​​in the dynamic impedance strategy are jointly encoded with the field mapping order in the adaptive protocol conversion rule set to generate an optimized parameter space. Based on the priority order of the protocol conversion group, a joint evaluation function for protocol conversion delay and impedance matching accuracy is established in the optimization parameter space; Traverse the optimization parameter space and select the combination of equivalent inductance value, equivalent capacitance value and field mapping order that makes the joint evaluation function optimal as the initial optimization parameter combination; Based on the overlapping conflict feature range and field missing identifier, the initial optimized parameter combination is compensated for load fluctuations in a real-time communication environment to generate compensated optimized parameters. Based on the data communication interface identifier of the protocol conversion group, the compensated optimized parameters are distributed to the corresponding adaptive impedance matching network and protocol conversion engine to generate adaptive communication interface parameters containing impedance matching parameters and protocol conversion parameters, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrology instrument.

6. An adaptive processing system for a multi-protocol data communication interface of civil aviation metrology instruments, characterized in that, include: The module is used to construct a protocol compatibility map based on the multi-protocol database and communication interface electrical characteristic database of civil aviation metrology instruments. The protocol compatibility map defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, as well as the impedance parameter constraints of the communication interface. The configuration module is used to configure the adaptive impedance matching network, and adjust the equivalent inductance and equivalent capacitance values ​​of the adaptive impedance matching network according to the impedance parameter constraints to generate an impedance configuration parameter set. The conversion module is used to convert the original data frame of the first avionics protocol into a target data frame that conforms to the second avionics protocol based on the semantic mapping relationship. The matching module is used to obtain the impedance measurement values ​​of each data communication interface of the civil aviation metrology instrument, so as to match the candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set, and generate a dynamic impedance strategy based on the candidate impedance configuration parameters. The adjustment module is used to adjust the association parameters between the semantic mapping relationship and the preset data frame conversion rules based on the semantic consistency verification result of the target data frame, so as to generate an adaptive protocol conversion rule set. The optimization module is used to collaboratively optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate adaptive parameters for the communication interface, so as to realize adaptive processing of the multi-protocol data communication interface of the civil aviation metrology instrument. Based on a multi-protocol database of civil aviation metrology instruments and a database of electrical characteristics of communication interfaces, a protocol compatibility map is constructed. This map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, as well as the impedance parameter constraints of the communication interfaces, including: Based on the multi-protocol database of civil aviation measuring instruments, obtain the syntactic structure field set of the first aviation electronic protocol and the second aviation electronic protocol, and perform bidirectional mapping on the semantically identical syntactic structure fields in the syntactic structure field set to generate an initial semantic mapping relationship table. The equivalent inductance measurement set and equivalent capacitance measurement set of each data communication interface of the civil aviation measuring instrument are obtained from the communication interface electrical characteristic database. The equivalent inductance measurement set and equivalent capacitance measurement set of each data communication interface are fitted to generate the equivalent inductance probability distribution interval and equivalent capacitance probability distribution interval of each data communication interface. Based on the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, each field mapping relationship in the initial semantic mapping relationship table is associated with the corresponding data communication interface to generate a triplet relationship node. The triplet relationship node includes a data communication interface identifier, field mapping relationship weights, and impedance constraint intervals. Based on the overlap of the impedance constraint intervals, the triplet relationship nodes are clustered, and nodes that meet the preset conditions are merged into the same protocol conversion group, generating multiple protocol conversion groups with common impedance characteristics. Calculate the impedance sensitivity index for each protocol conversion group, and prioritize the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map; Obtain the impedance measurement values ​​of each data communication interface of the civil aviation metrology instrument, and match candidate impedance configuration parameters adapted to the data communication interfaces of the abnormal protocol conversion group from the impedance configuration parameter set. Based on the candidate impedance configuration parameters, generate a dynamic impedance strategy, including: The physical connection signal strength of each data communication interface of the civil aviation metrology instrument is monitored in parallel to obtain the impedance measurement value of the corresponding data communication interface. The impedance measurement value of each data communication interface is compared with the impedance constraint range of the corresponding protocol conversion group to calculate the impedance deviation of the corresponding protocol conversion group. When the impedance deviation of each protocol conversion group exceeds the preset exclusive threshold of the corresponding protocol conversion group and reaches the set number of cycles, the corresponding protocol conversion group is marked as an abnormal protocol conversion group. The time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group are collected, and the extended impedance constraint range of the abnormal protocol conversion group is generated by combining the impedance sensitivity index. Based on the extended impedance constraint range, a set of candidate impedance configuration parameters that are compatible with the data communication interface of the abnormal protocol conversion group are matched from the impedance configuration parameter set. The candidate impedance configuration parameter set is subjected to conflict resolution and fusion processing to generate a dynamic impedance strategy.

7. A computing device, characterized in that, It includes a processing component and a storage component; the storage component stores one or more computer instructions; the one or more computer instructions are invoked and executed by the processing component to implement the adaptive processing method for a multi-protocol data communication interface of civil aviation metrology instruments as described in any one of claims 1 to 5.

8. A computer storage medium, characterized in that, The device stores a computer program, which, when executed by a computer, implements an adaptive processing method for a multi-protocol data communication interface for civil aviation metrology instruments as described in any one of claims 1 to 5.

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