Method and system for processing multi-protocol data communication interface of civil aviation measuring instrument

Abstract

The invention provides a civil aviation measuring instrument multi-protocol data communication interface processing method and system, and the method comprises the steps: defining a first avionics protocol and a second avionics protocol according to a multi-protocol database and a communication interface electrical characteristic database of a civil aviation measuring instrument; adjusting an equivalent inductance value and an equivalent capacitance value of the adaptive impedance matching network, and generating an impedance configuration parameter set; converting the original data frame of the first avionics protocol into a target data frame conforming to a second avionics protocol; acquiring an impedance measurement value of each data communication interface to generate a dynamic impedance strategy; generating an adaptive protocol conversion rule set according to a semantic consistency verification result of the target data frame; and collaboratively optimizing the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters. According to the invention, accurate matching of the protocol conversion group and the physical interface characteristics is realized, and the stability and the adaptive ability of the multi-protocol communication interface in a complex electromagnetic environment are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of adaptive processing of data communication interfaces, and particularly to a processing method and system for multi-protocol data communication interfaces of civil aviation measuring instruments. Background Art

[0002] With the continuous improvement of the complexity of avionics systems, various civil aviation measuring devices need to achieve efficient and reliable data interaction under different protocol systems. Therefore, higher technical requirements are imposed on communication interfaces, that is, not only need to support the interoperability between multiple avionics protocols, but also need to have good electrical compatibility and dynamic adaptation capabilities to cope with changing communication environments and device states.

[0003] The current mainstream solution is a multi-protocol communication architecture based on the combination of a predefined protocol mapping table and a fixed impedance matching module. This solution realizes the static semantic mapping between mainstream avionics protocols by constructing a standardized protocol conversion rule library; combined with an adjustable impedance circuit module at the hardware level, it completes the physical layer adaptation between different communication interfaces to a certain extent. Existing solutions have some inherent defects, including that the dynamic changes in the semantic relationships between protocols cannot be effectively captured, resulting in the difficulty of the preset mapping rules to adapt to new protocols or non-standard data formats; the fixed impedance adjustment mechanism lacks the real-time perception ability of the on-site interface state and cannot make fine adjustments according to environmental changes; the two processes of protocol conversion and physical layer matching are independent of each other and lack a collaborative optimization mechanism, which limits the improvement of the overall communication performance. Summary of the Invention

[0004] The present invention provides a processing method and system for multi-protocol data communication interfaces of civil aviation measuring instruments to solve the problems in the prior art that the dynamic changes in the semantic relationships between protocols cannot be effectively captured, resulting in the difficulty of the preset mapping rules to adapt to new protocols or non-standard data formats; the fixed impedance adjustment mechanism lacks the real-time perception ability of the on-site interface state and cannot make fine adjustments according to environmental changes; the two processes of protocol conversion and physical layer matching are independent of each other and lack a collaborative optimization mechanism, which limits the improvement of the overall communication performance.

[0005] In a first aspect, the present invention provides a processing method for multi-protocol data communication interfaces of civil aviation measuring instruments, including: Based on a multi-protocol database of civil aviation measuring instruments and a communication interface electrical characteristic database, construct a protocol compatibility map, where the protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions of the communication interface; Configure an adaptive impedance matching network, and according to the impedance parameter constraint conditions, adjust the equivalent inductance value and equivalent capacitance value of the adaptive impedance matching network to generate an impedance configuration parameter set; Based on the semantic mapping relationship, convert the original data frame of the first avionics protocol 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 measuring 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; According to the semantic consistency verification result of the target data frame, adjust the association parameters between the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set; Cooperatively optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to realize the adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0006] Optionally, based on the multi-protocol database and the communication interface electrical characteristic database of the civil aviation measuring instrument, construct a protocol compatibility map, which defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraints of the communication interface, including: Based on the multi-protocol database of the civil aviation measuring instrument, obtain the syntax structure field sets of the first avionics protocol and the second avionics protocol, and perform bidirectional mapping on the syntax structure fields with the same semantics in the syntax structure field sets to generate an initial semantic mapping relationship table; Obtain the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface of the civil aviation measuring instrument from the communication interface electrical characteristic database, and respectively fit the equivalent inductance measurement value set and the equivalent capacitance measurement value set of each data communication interface to generate the equivalent inductance probability distribution interval and the 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, associate each field mapping relationship in the initial semantic mapping relationship table with the corresponding data communication interface to generate a triple relationship node, and the triple relationship node includes a data communication interface identifier, a field mapping relationship weight, and an impedance constraint interval; According to the overlap degree of the impedance constraint intervals, perform clustering analysis on the triple relationship nodes, and merge the nodes that meet the preset conditions into the same protocol conversion group to generate multiple protocol conversion groups with common impedance characteristics; Calculate the impedance sensitivity index of each protocol conversion group, and perform priority sorting on the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map.

[0007] Optionally, obtain the impedance measurement values of each data communication interface of the civil aviation measuring 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 policy based on the candidate impedance configuration parameters, including: 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, and compare the impedance measurement value of each data communication interface with the impedance constraint interval of the corresponding protocol conversion group to calculate the impedance deviation amount of the corresponding protocol conversion group; When the impedance deviation amount of each protocol conversion group exceeds the preset exclusive threshold of the corresponding protocol conversion group and reaches the set number of cycles, mark the corresponding protocol conversion group as an abnormal protocol conversion group; Collect the time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group, and generate an extended impedance constraint interval of the abnormal protocol conversion group in combination with the impedance sensitivity index; Based on the extended impedance constraint interval, match a set of candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set; Perform conflict resolution and fusion processing on the set of candidate impedance configuration parameters to generate a dynamic impedance policy.

[0008] Optionally, perform conflict resolution and fusion processing on the set of candidate impedance configuration parameters to generate a dynamic impedance policy, including: 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 set of candidate impedance configuration parameters and the boundary value of the extended impedance constraint interval to generate an inductance deviation amount and a capacitance deviation amount; Identify the conflict feature range where the difference between the inductance deviation amount and the capacitance deviation amount of all candidate impedance configuration parameters within the same abnormal protocol conversion group exceeds the set conflict threshold; Screen the target candidate impedance configuration parameters whose equivalent inductance value and equivalent capacitance value are both within the extended impedance constraint interval within the conflict feature range, and mark the target candidate impedance configuration parameter with the smallest sum of the inductance deviation amount and the capacitance deviation amount as the selected parameter; Remove the candidate impedance configuration parameters in the set of candidate impedance configuration parameters that have an overlapping conflict feature range with the equivalent inductance value and the equivalent capacitance value of the selected parameter to obtain an intermediate impedance configuration parameter set; Calculate the weighted deviation result of each intermediate candidate impedance configuration parameter in the intermediate candidate impedance configuration parameter set, and use the intermediate candidate impedance configuration parameter with the lowest weighted deviation result as the reference parameter; Superimpose the equivalent inductance value and equivalent capacitance value of the intermediate candidate impedance configuration parameters with the difference of all weighted deviation amounts within the preset tolerance range, and the reference parameters to generate a fusion parameter; Combine the selected parameter and the fusion parameter to generate a dynamic impedance strategy.

[0009] Optionally, according to the semantic consistency verification result of the target data frame, adjust the association parameters of the semantic mapping relationship and the preset data frame conversion rules to generate an adaptive protocol conversion rule set, including: Parse the field missing flag and data range overrun flag in the semantic consistency verification result of the target data frame, and according to the field missing flag and data range overrun flag, count the field missing times and overrun deviation amounts corresponding to the semantic mapping relationship; Demote the priority parameter of the semantic mapping relationship according to the field missing times to obtain an adjusted priority parameter; Based on the overrun deviation amount, perform an extended adjustment on the constraint range of the association parameters of the preset data frame conversion rules to generate updated association parameters; Bind the adjusted priority parameter and the updated association parameters to the semantic mapping relationship to generate a bound mapping relationship set; Reorganize the field mapping order of the preset data frame conversion rules according to the adjusted priority parameter to generate a preliminary protocol conversion rule set; Extract the target protocol conversion rules in the preliminary protocol conversion rule set that meet the preset integrity threshold and consistency threshold to generate an adaptive protocol conversion rule set.

[0010] Optionally, based on the overrun deviation amount, perform an extended adjustment on the constraint range of the association parameters of the preset data frame conversion rules to generate updated association parameters, including: 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; Expand the boundary constraint range of the association parameters of the preset data frame conversion rules according to the overrun direction to generate a preliminary extended constraint range, where when the overrun direction is positive overrun, expand the upper limit value of the preliminary extended constraint range according to the overrun amplitude value, and when the overrun direction is negative overrun, expand the lower limit value of the preliminary extended constraint range according to the overrun amplitude value; Perform a conflict detection on the preliminary extended constraint range to generate a compliant extended constraint range, so that the upper limit value of the preliminary extended constraint range with positive overrun is truncated to the upper limit value of the impedance constraint interval, and the lower limit value of the preliminary extended constraint range with negative overrun is raised to the lower limit value of the impedance constraint interval; Perform directional fusion on the association parameters between the compliance extension constraint scope and the preset data frame conversion rules to generate updated association parameters.

[0011] Optionally, co-optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters for realizing adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument, including: Jointly encode the equivalent inductance value and the equivalent capacitance value in the dynamic impedance strategy with the field mapping order in the adaptive conversion rule set to generate an optimized parameter space; Based on the priority order of the protocol conversion group, establish a joint evaluation function of protocol conversion delay and impedance matching accuracy in the optimized parameter space; Traverse the optimized parameter space, and select the combination of the equivalent inductance value, the equivalent capacitance value, and the field mapping order that makes the joint evaluation function reach the optimum as the initial optimized parameter combination; According to the overlapping conflict characteristic range and the field missing identifier, perform load fluctuation compensation on the initial optimized parameter combination in a real-time communication environment to generate compensated optimized parameters; According to the data communication interface identifier of the protocol conversion group, distribute the compensated optimized parameters to the corresponding adaptive impedance matching network and protocol conversion engine to generate communication interface adaptive parameters including impedance matching parameters and protocol conversion parameters for realizing adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0012] In a second aspect, the present invention provides an adaptive processing system for a multi-protocol data communication interface of a civil aviation measuring instrument, including: A construction module for constructing a protocol compatibility map based on a multi-protocol database of a civil aviation measuring instrument and a communication interface electrical characteristic database, where the protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions of the communication interface; A configuration module for configuring an adaptive impedance matching network, and adjusting the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions to generate an impedance configuration parameter set; A conversion module for converting the 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; A matching module for obtaining the impedance measurement values of each data communication interface of the civil aviation measuring instrument 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 generating a dynamic impedance strategy based on the candidate impedance configuration parameters; An adjustment module, configured to adjust the association parameters between the semantic mapping relationship and the preset data frame conversion rules according to the semantic consistency verification result of the target data frame, so as to generate an adaptive protocol conversion rule set; An optimization module, configured to perform collaborative optimization on the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to implement adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0013] In a third aspect, the present invention provides a computing device, including a processor and a memory. A computer program is stored in the memory, and the processor is configured to run the computer program to execute the processing method of the multi-protocol data communication interface of the civil aviation measuring instrument according to any one of the first aspect.

[0014] In a fourth aspect, the present invention provides a computer storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the processing method of the multi-protocol data communication interface of the civil aviation measuring instrument according to any one of the first aspect is implemented.

[0015] This method defines the semantic mapping and impedance constraints between multiple protocols by constructing a protocol compatibility map, and combines the dynamic impedance matching network and the protocol conversion rules for collaborative optimization, realizing the automatic adaptation processing of the multi-protocol interface of civil aviation measuring instruments. Specifically, based on the joint analysis of the multi-protocol database and the electrical characteristic database, an impedance configuration parameter set and an adaptive protocol conversion rule set are generated, and the dynamic adjustment strategy is realized through real-time impedance measurement and semantic verification feedback, solving the problems of impedance mismatch and semantic conversion incompatibility in traditional multi-protocol communication, significantly improving the stability, compatibility and adaptive ability of interface communication, and reducing the dependence on manual configuration at the same time.

[0016] Furthermore, by extracting the bidirectional mapping relationship of protocol syntax fields and the interface impedance probability distribution interval, constructing triple relationship nodes and clustering to generate protocol conversion groups, and combining the impedance sensitivity index for priority sorting, the dynamic optimization of the protocol compatibility map is realized. This process deeply integrates semantic mapping and impedance constraints, and accurately identifies common impedance feature groups through probability distribution fitting and overlap degree clustering, solving the problems of loose semantic association and static impedance adaptation in traditional protocol conversion, significantly improving the accuracy of protocol conversion and the dynamic adaptation ability of interface impedance, especially enhancing communication reliability in complex electromagnetic environments.

[0017] These aspects or other aspects of the present invention will be more clearly understood in the following description of the embodiments. Description of the Drawings

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0019] Figure 1 It is a flowchart of the processing method for the multi-protocol data communication interface of civil aviation measuring instruments provided by the embodiments of the present invention; Figure 2 It is a schematic structural diagram of an adaptive processing system for the multi-protocol data communication interface of civil aviation measuring instruments provided by the embodiments of the present invention; Figure 3 It is a schematic structural diagram of a computing device provided by the embodiments of the present invention. Detailed implementation manners

[0020] In order to enable those skilled in the art of the present technology to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention.

[0021] In some processes described in the specification, claims and the above drawings of the present invention, a plurality of operations appear in a specific order. However, it should be clearly understood that these operations may not be executed in the order in which they appear herein or may be executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions such as "first" and "second" in this article are used to distinguish different messages, devices, modules, etc., and do not represent a sequence, nor do they limit that "first" and "second" are of different types.

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present invention.

[0023] Figure 1 It is a flowchart of the processing method for the multi-protocol data communication interface of civil aviation measuring instruments provided by the embodiments of the present invention. As Figure 1 shown, the method includes: Aiming at the core problems faced by the multi-protocol communication interfaces of civil aviation measuring instruments in complex electromagnetic environments, such as the difficulty in adapting to protocol heterogeneity and the dynamic mismatch of interface impedance, traditional solutions have defects such as the collaborative failure caused by the separate optimization of protocol conversion and physical layer impedance matching, the inability of static parameter configuration to adapt to the real-time changes of interface states, and the insufficient guarantee of semantic-level data consistency. In view of these problems, the research and development idea of the present invention is: by constructing a compatibility map that integrates protocol semantic mapping and impedance parameter constraints, to achieve the dynamic association between protocol rules and interface electrical characteristics; combining the real-time tuning of the adaptive impedance matching network and the adaptive optimization of data frame conversion rules to form a closed-loop feedback mechanism between the physical layer and the protocol layer, so as to solve the problems of protocol syntax conflicts, interface impedance drift and loss of key data semantics when connecting multi-vendor devices, and significantly improve the communication reliability and environmental adaptability of the multi-protocol interfaces of civil aviation measuring instruments under complex working conditions. Based on this, the present invention provides a processing method for the multi-protocol data communication interfaces of civil aviation measuring instruments, such as Figure 1 , including: Step 101: Based on the multi-protocol database of civil aviation measuring instruments and the database of communication interface electrical characteristics, construct a protocol compatibility map, where the protocol compatibility map defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint conditions of the communication interface.

[0024] 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 characteristics database refers to a measured data set that records the electrical parameters such as equivalent inductance and equivalent capacitance of the physical interface of civil aviation measuring instruments; the protocol compatibility map refers to a hierarchical data structure that defines the semantic mapping relationship between protocols and interface impedance constraint conditions; 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 adopts a virtual link identifier and a binary data frame structure; the semantic mapping relationship refers to the semantic equivalence correspondence relationship between the source protocol field and the target protocol field; the impedance parameter constraint conditions refer to the allowable fluctuation range of the interface equivalent inductance and capacitance, which is set based on the statistical distribution of historical data.

[0025] In an embodiment of the present invention, first, a set of syntax structure fields of a first avionics protocol and a second avionics protocol is extracted from a multi-protocol database of civil aviation measuring instruments, and a two-way mapping relationship is established for fields with the same semantics to generate an initial semantic mapping relationship table; subsequently, a set of historical equivalent inductance measurement values and a set of equivalent capacitance measurement values of each data communication interface are obtained, and an equivalent inductance probability distribution interval and an equivalent capacitance probability distribution interval of each interface are calculated; then, each field mapping relationship in the initial semantic mapping relationship table is associated with the impedance probability distribution interval of the corresponding interface to generate a triple relationship node including an interface identifier, a field mapping weight, and an impedance constraint interval; finally, clustering analysis is performed on the nodes, similar nodes are merged to form a protocol conversion group, and priorities are determined, and finally a protocol compatibility map is constructed.

[0026] Step 102: Configure an adaptive impedance matching network, and adjust the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions to generate a set of impedance configuration parameters.

[0027] 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; the set of impedance configuration parameters refers to a set of optimized combinations of inductance and capacitance values.

[0028] In an embodiment of the present invention, first, based on the impedance parameter constraint conditions in the protocol compatibility map, the adjustment ranges of the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network are determined; subsequently, 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 to approximate the impedance characteristics of the target interface. During the adjustment process, an impedance matching degree calculation formula is used to evaluate the matching effect, and iterative optimization is performed until a preset threshold is met; finally, the optimized combination of the equivalent inductance value and the equivalent capacitance value is generated into a set of impedance configuration parameters for subsequent interface state adaptation.

[0029] 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.

[0030] In this step, the original data frame refers to the original data unit that has not been converted by the first protocol; the target data frame refers to the data unit conforming to the second protocol format, which is generated through syntax reconstruction and semantic mapping.

[0031] In an embodiment of the present invention, first, according to the semantic mapping relationship in the protocol compatibility map, the syntax structure of the first avionics protocol original data frame is parsed to identify the source field tags and data content; subsequently, the source field tags are mapped to the target field tags of the second avionics protocol, and the data frame structure is reconstructed according to the syntax rules of the target protocol. During the conversion process, data range constraint parameters are used to truncate or scale the over-limit values to ensure that the generated target data frame complies with the format specifications of the second protocol.

[0032] Step 104: Obtain the impedance measurement values of each data communication interface of the civil aviation measuring 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.

[0033] 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 continuously over-limit impedance deviation; the candidate impedance configuration parameter refers to the potential adaptation parameter screened from the configuration parameter set, which needs to be used after conflict resolution; the dynamic impedance strategy refers to the impedance adjustment scheme including the main and standby parameter combinations and switching conditions to ensure the stability of the interface.

[0034] In an embodiment of the present invention, first, the physical connection signal strength of each data communication interface is monitored in parallel, and the analyzer obtains the real-time impedance measurement value; secondly, the measurement value is compared with the impedance constraint interval of the corresponding protocol conversion group in the protocol compatibility map to calculate the impedance deviation. When the impedance deviation of a certain protocol conversion group continuously exceeds the preset exclusive threshold, it is marked as an abnormal protocol conversion group, and the time-frequency domain reflection characteristics of its interface are collected; subsequently, in combination with the impedance sensitivity index, the impedance constraint interval of this group is dynamically expanded, and the adapted candidate parameters are screened from the impedance configuration parameter set; finally, the candidate parameters are resolved and fused according to the priority order to generate a dynamic impedance strategy.

[0035] Step 105: According to the semantic consistency verification result of the target data frame, adjust the association parameters of the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set.

[0036] In this step, the semantic consistency verification result refers to the quantitative evaluation result of the semantic consistency between the target data frame and the source data, including field missing and over-limit identification; the association parameter refers to the priority weight and data range constraint bound to the semantic mapping in the protocol conversion rule; the adaptive protocol conversion rule set refers to the dynamically optimized field mapping order and constraint rule set to improve the conversion reliability.

[0037] In the embodiment of the present invention, first, the semantic consistency check result of the target data frame is parsed, and the field missing identifier and the data range overrun identifier are extracted; secondly, the missing times and overrun deviation amounts of each field mapping relationship are counted, and the mapping priority parameter is de-weighted, and at the same time, the data range constraint parameter is extended according to the overrun deviation direction; then, the adjusted priority parameter and the extended constraint parameter are bound to the original semantic mapping relationship to generate a bound mapping relationship set; then, according to the adjusted priority parameter, the field order of the data frame conversion rule is reorganized, and the conflicting rules are removed to generate a preliminary protocol conversion rule set; finally, an adaptive protocol conversion rule set is generated through the filtering rules of the integrity threshold and the consistency threshold.

[0038] Step 106: Co-optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters to achieve adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0039] In this step, the co-optimization operation refers to the decision-making process of jointly optimizing the impedance matching parameter and the protocol conversion rule to solve 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 to guide the real-time adaptation of the interface.

[0040] In the embodiment of the present invention, first, the impedance matching parameter in the dynamic impedance strategy and the protocol conversion parameter in the adaptive protocol conversion rule set are extracted; secondly, the impedance matching degree and the protocol conversion success rate are balanced; then, the feasibility of the optimization result is verified, and the parameter combinations that cause the impedance sensitivity index to drop by more than 5% are removed; finally, communication interface adaptive parameters including the primary and backup parameter combinations and the switching conditions are generated, and the primary parameter is preferentially used, and the backup parameter is switched according to the priority when the interface state changes.

[0041] For example, first, based on the multi-protocol database, the field sets of the ARINC 429 and AFDX protocols are extracted, and the mapping relationship table of keyword fields such as fuel flow and cabin pressure is generated through semantic matching. Secondly, the equivalent inductance historical data (mean 50 nH, standard deviation 2 nH) of the fuel flowmeter interface is obtained from the interface electrical characteristic library, and a constraint interval of 50 nH ± 5% is fitted and bound to the field mapping relationship as a triple node; then, it is detected that the impedance value of a certain fuel flowmeter interface exceeds the limit to 55 nH three times continuously, which is marked as an abnormal protocol conversion group, and its constraint interval is extended to 55 nH ± 5%, and candidate parameters (such as 53 nH / 200 pF) are screened from the configuration parameter set; then, according to the priority, the candidate parameters are allocated, and a dynamic impedance strategy is generated by fusion; at the same time, semantic verification finds that the fuel flow field is missing, its mapping priority is de-weighted and the data range is extended, and an adaptive protocol conversion rule set is reorganized; finally, the impedance strategy and the protocol rule are co-optimized to generate interface adaptive parameters to achieve stable communication of the interface.

[0042] In the embodiment of the present invention, the semantic mapping and impedance constraint are dynamically associated through a protocol compatibility map, solving the problem of collaborative failure caused by the separation of protocol conversion and physical layer adaptation in the traditional solution; the adaptive impedance matching network and dynamic policy generation mechanism improve the real-time response ability to interface impedance drift; the rule optimization driven by semantic consistency ensures the integrity of key data; finally, through cross-layer collaborative optimization, the stability and reliability of multi-protocol interfaces in complex electromagnetic environments are significantly improved.

[0043] To solve the problems of inaccurate semantic mapping and lack of interface impedance matching constraints between different avionics protocols, this step constructs a protocol compatibility map to define semantic mapping relationships and impedance parameter constraint conditions. The present invention provides a specific embodiment. Step 101: Based on the multi-protocol database of civil aviation measuring instruments and the electrical characteristic database of communication interfaces, construct a protocol compatibility map, where the protocol compatibility map defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint conditions of the communication interface, specifically including the following steps: Step 111: Based on the multi-protocol database of civil aviation measuring instruments, obtain the syntax structure field sets of the first avionics protocol and the second avionics protocol, and perform bidirectional mapping on the syntax structure fields with the same semantics in the syntax structure field sets to generate an initial semantic mapping relationship table.

[0044] In this step, the syntax structure field set refers to the set of structured fields such as tags, data fields, and check bits defined in the protocol data frame, reflecting the syntax rules of the protocol; the bidirectional mapping operation refers to establishing a bidirectional correspondence relationship of fields between the source protocol and the target protocol; the initial semantic mapping relationship table refers to a table recording the field mapping relationship and initial weights between protocols for subsequent optimization.

[0045] In the embodiment of the present invention, first, extract the syntax structure field sets of the first avionics protocol and the second avionics protocol from the multi-protocol database of civil aviation measuring instruments; secondly, perform bidirectional mapping on the syntax structure fields with the same semantics through a semantic similarity matching algorithm; then assign initial weights to the mapping relationships to generate an initial semantic mapping relationship table including field pairs, weights, and mapping directions.

[0046] Step 112: Obtain the equivalent inductance measurement value set and equivalent capacitance measurement value set of each data communication interface of the civil aviation measuring instrument from the electrical characteristic database of the communication interface, and respectively fit the equivalent inductance measurement value set and equivalent capacitance measurement value set of each data communication interface to generate the equivalent inductance probability distribution interval and equivalent capacitance probability distribution interval of each data communication interface.

[0047] In this step, the set of equivalent inductance measurement values refers to the data set of equivalent inductance values obtained by measuring a certain interface multiple times; the set of equivalent capacitance measurement values refers to the data set of equivalent capacitance values 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 mathematical methods; the equivalent inductance probability distribution interval refers to the confidence interval of inductance values obtained based on the fitting result; the equivalent capacitance probability distribution interval refers to the confidence interval of capacitance values obtained based on the fitting result.

[0048] In an embodiment of the present invention, first, the historical equivalent inductance measurement value set and equivalent capacitance measurement value set of each data communication interface are obtained from the communication interface electrical characteristic database. Subsequently, the Gaussian distribution fitting algorithm is used to calculate the equivalent inductance mean and standard deviation of each interface respectively, generate the equivalent inductance probability distribution interval, and the equivalent capacitance probability distribution interval. During the fitting process, outliers are removed to ensure that the distribution interval covers the measured data, thereby improving the reliability of the interval.

[0049] Step 113: Based on the equivalent inductance probability distribution interval and the equivalent capacitance probability distribution interval, associate each field mapping relationship in the initial semantic mapping relationship table with the corresponding data communication interface to generate a triple relationship node, where the triple relationship node includes a data communication interface identifier, a field mapping relationship weight, and an impedance constraint interval.

[0050] 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 clustering analysis; the field mapping relationship weight refers to a value reflecting the importance of the mapping relationship, and the initial value is set based on the semantic key of the field; the impedance constraint interval refers to the allowable fluctuation range of the equivalent inductance and capacitance of the interface, which is used to guide impedance matching.

[0051] In an embodiment of the present invention, first, 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; subsequently, a field mapping relationship weight is assigned to each field mapping relationship, and combined with the interface identifier and the impedance constraint interval, to generate a triple relationship node.

[0052] Step 114: According to the overlap degree of the impedance constraint intervals, perform clustering analysis on the triple relationship nodes, and merge the nodes that meet the preset conditions into the same protocol conversion group to generate multiple protocol conversion groups with common impedance characteristics.

[0053] In this step, the clustering analysis operation refers to a data analysis method for grouping similar nodes, such as hierarchical clustering based on the overlap degree; the common impedance feature refers to the impedance constraint interval feature shared by the interfaces within the same protocol conversion group; the protocol conversion group refers to a set of field mapping relationships with similar impedance constraint features.

[0054] In the embodiment of the present invention, first, calculate the overlap degree of the impedance constraint intervals of all triple relationship nodes; then, use the hierarchical clustering algorithm to group those with an overlap degree exceeding a preset threshold, where each cluster represents a protocol conversion group, and the nodes within the group have common impedance features; finally, eliminate the noise clusters with the number of members less than the preset value to generate multiple stable protocol conversion groups.

[0055] Step 115: Calculate the impedance sensitivity index of each protocol conversion group, and perform priority sorting on the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map.

[0056] In this step, the impedance sensitivity index refers to an index that quantifies the impact of interface impedance deviation on the protocol conversion success rate, and the larger 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.

[0057] In the embodiment of the present invention, first, calculate the impedance sensitivity index of each protocol conversion group; then, perform priority sorting on the protocol conversion groups in descending order of the sensitivity index, and the higher the sensitivity, the higher the priority; finally, integrate the sorted protocol conversion groups in a hierarchical structure to form a protocol compatibility map to support fast retrieval and dynamic adaptation.

[0058] The embodiment of the present invention solves the problem of low adaptation efficiency caused by the separation of protocol rules and physical interface characteristics in the traditional solution through bidirectional mapping of protocol fields and impedance probability modeling; generates common protocol conversion groups through clustering analysis based on impedance constraint overlap to reduce redundant configurations; and ensures the priority adaptation of key interface resources through priority sorting driven by the sensitivity index, significantly improving the stability and dynamic response ability of multi-protocol communication interfaces.

[0059] In order to improve the impedance matching accuracy and dynamic adaptability of abnormal protocol conversion groups, this step generates a dynamic impedance strategy by matching candidate impedance configuration parameters and resolving conflicts. The present invention provides a specific embodiment, step 104, to obtain the impedance measurement values of each data communication interface of the civil aviation measuring 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, which specifically includes the following steps: 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, and compare the impedance measurement value of each data communication interface with the impedance constraint interval of the corresponding protocol conversion group to calculate the impedance deviation amount of the corresponding protocol conversion group.

[0060] 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 amount refers to the percentage by which the actual impedance value exceeds the boundary of the constraint interval.

[0061] In the embodiment of the present invention, first, a vector network analyzer is used to 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 interface; 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 amount; finally, the deviation amount data of each protocol conversion group is recorded for subsequent analysis.

[0062] Step 402: When the impedance deviation amount of each protocol conversion group exceeds the preset exclusive threshold of the corresponding protocol conversion group and reaches the set number of cycles, mark the corresponding protocol conversion group as an abnormal protocol conversion group.

[0063] In this step, the preset exclusive threshold refers to the deviation amount trigger threshold set separately for each protocol conversion group. For example, the threshold for the high-priority group is 3%, and the normal group is 5%; the set number of cycles refers to the minimum number of consecutive overlimit triggers for marking, which is used to filter out occasional interferences; the marking operation refers to the process of updating the status of the protocol conversion group in the protocol compatibility map, including adding an abnormal identifier and recording an event log.

[0064] In the embodiment of the present invention, first, set the preset exclusive threshold for each protocol conversion group and configure the trigger number of cycles; then, when the impedance deviation amount of a certain protocol conversion group continuously exceeds its exclusive threshold and reaches the set number of cycles, perform the marking operation, that is, update the status of this group in the protocol compatibility map to "abnormal protocol conversion group"; finally, record the timestamp, deviation amount, and interface identifier of the abnormal event.

[0065] Step 403: Collect the time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group, and combine the impedance sensitivity index to generate the extended impedance constraint interval of the abnormal protocol conversion group.

[0066] In this step, the time-frequency domain reflection characteristics refer to the interface signal reflection characteristic data obtained through a time domain reflectometer or a frequency domain analyzer, which reflect impedance mutations and signal integrity; the extended impedance constraint interval refers to the allowed range expanded proportionally on the basis of the original constraint interval, which is used to adapt to the impedance drift of the interface.

[0067] In an embodiment of the present invention, first, a time-frequency domain reflection feature of an interface corresponding to an abnormal protocol conversion group is collected by a time domain reflectometer, and an impedance mutation point and a signal attenuation characteristic of the interface are analyzed; subsequently, in combination with the impedance sensitivity index of this group, the original constraint interval is expanded according to the sensitivity ratio; finally, an expanded impedance constraint interval is generated.

[0068] Step 404: Based on the expanded impedance constraint interval, match a set of candidate impedance configuration parameters adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set.

[0069] In this step, the matching operation refers to the process of screening impedance configuration parameters that meet the conditions of the expanded interval from the parameter set, and an interval inclusion or similarity calculation algorithm is adopted; the set of candidate impedance configuration parameters refers to a combination of impedance parameters that are preliminarily screened and may be adapted to the abnormal interface, and further optimization is required.

[0070] In an embodiment of the present invention, first, according to the expanded 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 expanded interval, and the deviation between the equivalent capacitance value and the measured capacitance value of the target interface is less than 10%; subsequently, the interval inclusion algorithm is adopted for the matching operation, that is: if both parameter A and parameter B meet the conditions, they are added to the set of candidate impedance configuration parameters.

[0071] Step 405: Perform conflict resolution and fusion processing on the set of candidate impedance configuration parameters to generate a dynamic impedance strategy.

[0072] In this step, the conflict resolution operation refers to the process of solving problems such as impedance interval overlap or mutual exclusion between candidate parameters, such as priority assignment or parameter fusion; the fusion processing operation refers to a method of combining multiple candidate parameters according to weights to generate new parameters, such as weighted average or interval intersection.

[0073] In an embodiment of the present invention, first, a conflict resolution operation is performed on the set of candidate impedance configuration parameters to identify the equivalent inductance conflict interval between different parameters, and the optimal parameters within the conflict interval are preferentially assigned to the protocol conversion group with a high priority; subsequently, the remaining parameters are fused by the weighted average method to generate a fused parameter set; finally, it is verified whether the fused parameters meet the extended constraint conditions of all abnormal groups, and conflict items are removed to generate a dynamic impedance strategy, with the main parameter being 55 nH / 200 pF and the standby parameter being 58 nH / 195 pF.

[0074] Embodiments of the present invention solve the problems of lag in interface impedance drift detection and failure of static interval adaptation in traditional solutions through real-time monitoring and dynamic expansion mechanisms; an expansion strategy based on time-frequency domain reflection characteristics and sensitivity indices improves the adaptation accuracy of abnormal interfaces; conflict resolution and fusion processing ensure multi-parameter collaborative optimization, significantly enhancing the stability and anti-interference ability of the interfaces of civil aviation measuring instruments under complex working conditions.

[0075] To solve the problem of matching failure caused by conflicts between candidate impedance configuration parameters, this step generates a dynamic impedance strategy through conflict feature recognition and parameter fusion. The present invention provides a specific embodiment. In step 405, conflict resolution and fusion processing are performed on the set of candidate impedance configuration parameters to generate a dynamic impedance strategy, which specifically includes the following steps: Step 451: Calculate the absolute values of the differences between the equivalent inductance value and the equivalent capacitance value of each candidate impedance configuration parameter in the set of candidate impedance configuration parameters and the boundary values of the extended impedance constraint interval to generate an inductance deviation amount and a capacitance deviation amount.

[0076] 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 degree of parameter adaptation deviation; the inductance deviation amount and the capacitance deviation amount refer to the absolute values of the differences between the equivalent values of the candidate parameters and the boundary values of the extended interval, reflecting the degree of deviation of the parameters from the constraint interval.

[0077] In the embodiments of the present invention, first, calculate the absolute values of the differences between the equivalent inductance value of each parameter in the set of candidate impedance configuration parameters 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; then record them as the inductance deviation amount and the capacitance deviation amount respectively for subsequent conflict analysis.

[0078] Step 452: Identify the conflict feature range where the differences between the inductance deviation amounts and the capacitance deviation amounts of all candidate impedance configuration parameters within the same abnormal protocol conversion group exceed the set conflict threshold.

[0079] In this step, the set conflict threshold refers to the critical value of the difference for determining that there is a 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 jointly covered by the impedance values of multiple candidate parameters, which is the impedance range that may cause adaptation failure.

[0080] In the embodiments of the present invention, first, horizontally compare the inductance deviation amounts and the capacitance deviation amounts of all candidate parameters within the same abnormal protocol conversion group. If the difference in the deviation amounts of a parameter pair exceeds the set conflict threshold, then extract the impedance value range covered by it as the conflict feature range.

[0081] Step 453: Screen the target candidate impedance configuration parameters within the conflict feature range where both the equivalent inductance value and the equivalent capacitance value are within the extended impedance constraint interval, and mark the target candidate impedance configuration parameter with the smallest sum of the inductance deviation and the capacitance deviation as the selected parameter.

[0082] In this step, the target candidate impedance configuration parameter refers to the candidate parameter that meets the extended constraint conditions and has the smallest sum of deviations; the selected parameter refers to the optimal candidate parameter determined through conflict screening.

[0083] In the embodiment of the present invention, first, screen out the candidate parameters within the conflict feature range where both the equivalent inductance and capacitance values are within the extended impedance constraint interval; subsequently, calculate the sum of the inductance deviation and the capacitance deviation for each parameter, and select the parameter with the smallest sum as the selected parameter.

[0084] Step 454: Remove the candidate impedance configuration parameters in the candidate impedance configuration parameter set that have an overlapping conflict feature range with the equivalent inductance value and the equivalent capacitance value of the selected parameter to obtain an intermediate impedance configuration parameter set.

[0085] 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 impedance configuration parameter set refers to the subset of candidate parameters after removing the conflict parameters and is used for secondary optimization.

[0086] In the embodiment of the present invention, first, identify the parameters in the candidate impedance configuration parameter set that have an overlapping conflict feature range with the equivalent inductance value and the equivalent capacitance value of the selected parameter; subsequently, remove the parameters with the overlapping conflict feature range from the set to form an intermediate impedance configuration parameter set.

[0087] Step 455: Calculate the weighted result of the deviation of each intermediate candidate impedance configuration parameter in the intermediate candidate impedance configuration parameter set, and use the intermediate candidate impedance configuration parameter with the lowest weighted result of the deviation as the reference parameter.

[0088] In this step, the weighted result of the deviation refers to the comprehensive score calculated by the inductance and capacitance deviations according to the preset weights, and the weights reflect the physical layer adaptation priorities; the reference parameter refers to the parameter with the best comprehensive score in the intermediate set and serves as the fusion reference.

[0089] In the embodiment of the present invention, first, calculate the weighted result of the deviation for each parameter in the intermediate impedance configuration parameter set, and the weighted result is the product of the inductance deviation and the preset inductance weight plus the product of the capacitance deviation and the preset capacitance weight; subsequently, select the parameter with the lowest weighted result as the reference parameter.

[0090] Step 456: Superimpose the equivalent inductance value and equivalent capacitance value of the intermediate candidate impedance configuration parameters whose weighted result difference of all deviation amounts is within the preset tolerance range, and the reference parameter to generate a fusion parameter.

[0091] In this step, the superimposing operation refers to a method of averaging the equivalent values of multiple parameters to generate a new parameter, which is used to balance conflicts; the fusion parameter operation refers to a compatibility parameter generated by superimposing, taking into account the characteristics of multiple candidate parameters.

[0092] In the embodiment of the present invention, first, parameters whose difference between the weighted result of the deviation amount and the reference parameter in the intermediate impedance configuration parameter set is within the preset tolerance range are screened; subsequently, the arithmetic mean values of the equivalent inductance value and equivalent capacitance value of the parameters within the preset tolerance range are taken respectively to generate a fusion parameter.

[0093] Step 457: Combine the selected parameter and the fusion parameter to generate a dynamic impedance strategy.

[0094] In this step, the combining operation refers to the process of integrating the preferred parameter and the fusion parameter to form a final strategy.

[0095] In the embodiment of the present invention, first, the selected parameter and the fusion parameter are combined into a candidate solution set. If the equivalent inductance value or equivalent capacitance value exceeds the original impedance constraint interval due to parameter superposition, truncation processing is performed according to the interval boundary value; subsequently, it is verified whether the candidate solution satisfies the extended constraint conditions of all abnormal protocol conversion groups; finally, after eliminating the conflict items, a dynamic impedance strategy including the primary and backup parameter combinations is generated.

[0096] The embodiment of the present invention solves the interface mismatch problem caused by multi-parameter adaptation conflicts through precise quantification of candidate parameter deviation to identify the conflict range and multi-dimensional fusion optimization; based on the weighted scoring and conflict resolution mechanism, a primary and backup strategy is generated to improve the stability and anti-interference ability of the civil aviation measuring instrument interface under complex working conditions.

[0097] To solve the protocol conversion error caused by the missing semantic mapping field and the data range exceeding the limit, in this step, an adaptive protocol conversion rule set is generated by adjusting the priority parameter and the extended constraint range. The present invention provides a specific embodiment, step 105, according to the semantic consistency verification result of the target data frame, adjust the association parameter between the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set, which specifically includes the following steps: Step 501: Analyze the field missing identifier and data range exceeding limit identifier in the semantic consistency verification result of the target data frame, and according to the field missing identifier and data range exceeding limit identifier, count the field missing times and the exceeding limit deviation amount corresponding to the semantic mapping relationship.

[0098] In this step, the parsing operation refers to the process of structurally analyzing the semantic consistency verification result and extracting the field missing and overlimit identifiers; the data range overlimit identifier refers to the event information recording that the target field value exceeds the preset data range, including the overlimit direction and amplitude; the statistical operation refers to the calculation process of quantitatively accumulating the field missing times and overlimit deviation amounts; the overlimit deviation amount refers to the percentage difference of the target field value exceeding the constraint range and is used to quantify the severity of data overlimit.

[0099] In the embodiment of the present invention, first, the semantic consistency verification result of the target data frame is analyzed through the parsing operation to extract the field missing identifier and the data range overlimit identifier; then, the field missing times and the overlimit deviation amounts corresponding to each semantic mapping relationship are statistically calculated, that is, the cumulative number of occurrences of the field missing event under the mapping relationship and the percentage difference of the target field value exceeding the constraint range.

[0100] 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.

[0101] In this step, the priority parameter refers to the weight value reflecting the importance of the field mapping relationship, and the initial value is set based on the semantic criticality of the field; the de-weighting operation refers to the adjustment process of reducing the priority parameter proportionally according to the field missing times; the adjusted priority parameter refers to the de-weighted field mapping weight value and is used to guide the rule reorganization.

[0102] In the embodiment of the present invention, first, the original priority parameter is multiplied by a preset de-weighting coefficient to generate the adjusted priority parameter; then, the de-weighting coefficient is dynamically adjusted according to the sensitivity of the protocol conversion group, and the de-weighting amplitude of the key field is lower than that of the non-key field.

[0103] Step 503: Based on the overlimit deviation amount, the constraint range of the associated parameter of the preset data frame conversion rule is extended and adjusted to generate the updated associated parameter.

[0104] In this step, the preset data frame conversion rule refers to the predefined protocol field mapping order and data constraint rule set; the extension and adjustment operation refers to the operation of dynamically expanding or contracting the data constraint range according to the overlimit deviation amount; the updated associated parameter refers to the set of adaptation parameters including the extended data constraint range and the adjusted priority.

[0105] In the embodiment of the present invention, first, the associated parameter in the preset data frame conversion rule is extended and adjusted based on the overlimit deviation amount. For positive overlimit, the upper limit of the constraint range is extended according to the proportion of the overlimit deviation amount, and for negative overlimit, the lower limit of the constraint range is contracted according to the proportion of the deviation amount; then, the extended constraint range is merged with the original parameter to generate the updated associated parameter.

[0106] Step 504: Bind the adjusted priority parameter and the updated association parameter to the semantic mapping relationship to generate a set of bound mapping relationships.

[0107] In this step, the binding operation refers to the process of associating and integrating the adjusted parameter with the original semantic mapping relationship; the set of bound mapping relationships refers to a complete rule description set that includes priority parameters, constraint scopes, and mapping relationships.

[0108] In the embodiment of the present invention, first, the adjusted priority parameter and the updated association parameter are bound to the original semantic mapping relationship. The binding process includes attaching the adjusted priority parameter and the extended constraint scope to each field mapping relationship; subsequently, a set of bound mapping relationships containing complete adaptation information is formed.

[0109] Step 505: Reorganize the field mapping order of the preset data frame conversion rule according to the adjusted priority parameter to generate a preliminary protocol conversion rule set.

[0110] In this step, the field mapping order refers to the order of field processing in the protocol conversion process; the reorganization operation refers to the optimization process of rearranging the field processing order according to the priority parameter; the preliminary protocol conversion rule set refers to the rule set that has not been filtered by the threshold after reorganization and may have conflicts or loopholes.

[0111] In the embodiment of the present invention, first, the reorganization operation arranges the field mapping order in descending order of the priority parameter, where the high-priority fields are processed first and the low-priority fields are processed later; subsequently, the reorganized rule set forms a preliminary protocol conversion rule set.

[0112] Step 506: Extract the target protocol conversion rules in the preliminary protocol conversion rule set that meet the preset integrity threshold and consistency threshold to generate an adaptive protocol conversion rule set.

[0113] In this step, the preset integrity threshold refers to the minimum proportion of key fields that the protocol conversion rule must cover; the consistency threshold refers to the requirement that the mapping directions of the same field in all rules are completely consistent; the target protocol conversion rule refers to a set of highly reliable conversion rules filtered by the threshold.

[0114] In the embodiment of the present invention, first, the rules that meet the preset integrity threshold and consistency threshold are extracted from the preliminary protocol conversion rule set. The integrity threshold requires that the rule must cover the mapping relationships of all key fields, and the consistency threshold requires that the mapping directions of the same field in all rules are consistent; subsequently, the conflicting or incomplete rules are filtered out by the threshold to generate the final adaptive protocol conversion rule set.

[0115] The embodiment of the present invention solves the problems of field missing and data overlimit caused by the solidification of protocol conversion rules in traditional solutions through dynamic demotion and constraint extension mechanisms; based on priority-driven rule reorganization and threshold filtering, the reliability of key field conversion and data consistency are improved, and the semantic integrity and adaptability of the multi-protocol interface of civil aviation metering instruments in complex data scenarios are significantly enhanced.

[0116] In order to solve the protocol conversion compliance problem caused by insufficient directional constraints of over-limit deviation, this step generates updated associated parameters by directional expansion of the constraint range and conflict detection. The present invention provides a specific embodiment, step 503, based on the over-limit deviation, the constraint range of the associated parameters of the preset data frame conversion rule is expanded and adjusted to generate updated associated parameters, specifically including the following steps: Step 531: Identify whether the over-limit direction of the target field in the semantic mapping relationship is a positive over-limit or a negative over-limit, so as to extract the over-limit amplitude value corresponding to the target field.

[0117] In this step, the over-limit direction refers to the direction in which the target field value exceeds the preset constraint range, which is divided into positive over-limit and negative over-limit; positive over-limit refers to the state in which the actual value of the target field exceeds the upper limit value of the preset constraint range, and the upper limit needs to be expanded to adapt to data fluctuations; negative over-limit refers to the state in which 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 expanded 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 expansion adjustment.

[0118] In an embodiment of the present invention, the out-of-limit direction of the target field in the semantic mapping relationship is first identified, that is, the direction in which the target field value exceeds the preset constraint range is determined to be a positive over-limit or a negative over-limit; then the corresponding over-limit amplitude value is extracted, that is, the absolute difference between the actual value of the target field and the constraint boundary value.

[0119] Step 532: Expand the boundary constraint range of the associated parameters of the preset data frame conversion rule according to the exceeding direction to generate a preliminary extended constraint range, wherein when the exceeding direction is a positive exceeding direction, the upper limit value of the preliminary extended constraint range is expanded according to the exceeding amplitude value, and when the exceeding direction is a negative exceeding direction, the lower limit value of the preliminary extended constraint range is expanded according to the exceeding amplitude value.

[0120] In this step, the boundary constraint range refers to the allowed value range of the target field defined in the preset data frame conversion rule; the expansion operation refers to the processing process of adjusting the constraint range boundary according to the direction and amplitude of the excess limit; the initial expansion constraint range refers to the expanded constraint range without conflict detection.

[0121] In an embodiment of the present invention, the overrun direction performs an expansion operation on the boundary constraint range of the associated parameter of the preset data frame conversion rule. If it is a positive overrun, the upper limit value of the constraint range is expanded according to the proportion of the overrun amplitude value. If it is a negative overrun, the lower limit value of the constraint range is expanded according to the proportion of the overrun amplitude value. Secondly, the expansion ratio is dynamically adjusted based on the sensitivity index of the protocol conversion group. The higher the sensitivity, the smaller the expansion ratio.

[0122] Step 533: Perform conflict detection on the preliminary expanded constraint range to generate a compliant expanded constraint range, so that the upper limit value of the preliminary expanded constraint range for positive overrun is truncated to the upper limit value of the impedance constraint interval, and the lower limit value of the preliminary expanded constraint range for negative overrun is raised to the lower limit value of the impedance constraint interval.

[0123] In this step, the conflict detection operation refers to the process of checking whether the expanded constraint range conflicts with the constraint ranges of other fields and correcting the conflict interval.

[0124] In an embodiment of the present invention, first perform a conflict detection operation on the preliminary expanded constraint range to detect whether the expanded upper limit value exceeds the upper limit of the original impedance constraint interval of the corresponding protocol conversion group. If it exceeds, truncate the upper limit value to the upper limit of the original impedance constraint interval to generate a positive compliant expansion range. Subsequently, detect whether the expanded lower limit value is lower than the lower limit of the original impedance constraint interval. If it is lower, raise the lower limit value to the lower limit of the original impedance constraint interval. Finally, generate a negative compliant expansion range.

[0125] Step 534: Perform directional fusion of the compliant expanded constraint range and the associated parameter of the preset data frame conversion rule to generate an updated associated parameter.

[0126] In this step, the compliant expanded constraint range refers to the constraint range corrected by conflict detection, ensuring no overlap with other constraint conditions and conforming to global restrictions. The directional fusion operation refers to the process of integrating the compliant expanded constraint range with the original constraint parameters, retaining the effective constraints and replacing the overrun part.

[0127] In an embodiment of the present invention, first perform a directional fusion operation on the compliant expanded constraint range and the associated parameter of the preset data frame conversion rule, retaining the range of the non-overrun fields in the original constraint parameters. Subsequently, replace the constraint range of the overrun fields with the compliant expanded constraint range. Finally, generate an updated associated parameter containing the dynamically adjusted constraint conditions.

[0128] In the embodiments of the present invention, by dynamically identifying the overrun direction and amplitude, the precise expansion of the constraint range is realized, solving the problem of frequent data overruns caused by the static range in the traditional solution; the conflict detection and compliance correction mechanism ensures the global compatibility of the expanded constraint range, avoiding multi-field constraint conflicts; the directional fusion ensures the integrity of key data, significantly improving the reliability and environmental adaptability of protocol conversion.

[0129] To improve the collaborative efficiency of impedance matching and protocol conversion, this step generates adaptive parameters for the communication interface through joint coding optimization and load compensation. The present invention provides a specific embodiment. In step 106, the dynamic impedance strategy and the adaptive protocol conversion rule set are jointly optimized to generate adaptive parameters for the communication interface, so as to realize the adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument, which specifically includes the following steps: Step 601: Jointly encode the equivalent inductance value and the equivalent capacitance value in the dynamic impedance strategy with the field mapping order in the adaptive conversion rule set to generate an optimized parameter space.

[0130] In this step, the joint coding operation refers to the process of converting different parameter types into a unified coding form, which is used to construct a parameter optimization space; the optimized parameter space refers to a multi-dimensional space composed of all possible combinations of equivalent inductance values, equivalent capacitance values, and field mapping orders. Each dimension corresponds to an adjustable parameter, which is used to search for the optimal parameter configuration.

[0131] In the embodiments of the present invention, first, a numerical set of equivalent inductance values and equivalent capacitance values corresponding to all candidate impedance configuration parameters is extracted from the dynamic impedance strategy, and at the same time, the priority parameters of the field mapping order and the weight values of the field mapping relationship are obtained from the adaptive protocol conversion rule set; subsequently, the equivalent inductance value and the equivalent capacitance value are respectively quantized into discrete parameter dimensions, the field mapping order is converted into an order coding value, and the three are combined into a unified parameter representation form through multi-dimensional vector coding. Finally, all possible parameter combinations form a multi-dimensional space.

[0132] Step 602: Based on the priority order of the protocol conversion group, establish a joint evaluation function of protocol conversion delay and impedance matching accuracy in the optimized parameter space.

[0133] 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 degree of proximity between the actual impedance configuration value and 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 fuses the protocol conversion delay and the impedance matching accuracy, and quantifies the comprehensive performance of the parameter combination through weighted summation.

[0134] In an embodiment of the present invention, first, different weight coefficients are assigned to each protocol conversion group according to the priority order of the protocol conversion groups in the protocol compatibility map; subsequently, a joint evaluation function is constructed based on the protocol conversion delay and the impedance matching accuracy; finally, the joint evaluation function uses a weighted summation method to fuse the delay and accuracy into a single scoring index according to the priority weights, which is used to quantify the optimization degree of the parameter combination.

[0135] Step 603: Traverse the optimization parameter space, and select the combination of the equivalent inductance value, the equivalent capacitance value, and the field mapping order that makes the joint evaluation function reach the optimum as the initial optimization parameter combination.

[0136] In this step, the initial optimization parameter combination refers to the combination of the inductance value, the capacitance value, and the field order with the highest score of the joint evaluation function in the optimization parameter space, which is used as the reference parameter before load compensation.

[0137] In an embodiment of the present invention, first, a heuristic search algorithm is used to traverse all candidate parameter combinations in the optimization parameter space; subsequently, invalid parameter combinations that overlap with the overlapping conflict feature range are filtered out 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 delay and accuracy.

[0138] Step 604: Perform load fluctuation compensation on the initial optimization parameter combination in a real-time communication environment according to the overlapping conflict feature range and the field missing flag, and generate the optimized parameters after compensation.

[0139] In this step, the real-time communication environment refers to an actual communication scenario including dynamic load fluctuations, signal interference, and connection state changes, and adaptability needs to be achieved through parameter compensation; load fluctuation compensation refers to the process of adjusting impedance parameters and field mapping rules according to real-time load changes; the optimized parameters after compensation refer to the final parameter configuration after load fluctuation compensation.

[0140] In an embodiment of the present invention, first, the load fluctuation data of the communication interface is monitored in real time to identify the impact of load fluctuations on the initial optimization parameter combination; secondly, the inductance value and capacitance value in the initial optimization parameters are dynamically compensated according to the overlapping conflict feature range and the field missing flag; subsequently, the priority weight of the field mapping order is corrected according to the field missing frequency; finally, the optimized parameters after compensation are generated to adapt to the changes in the real-time communication environment.

[0141] Step 605: According to the data communication interface identifier of the protocol conversion group, distribute the compensated and optimized parameters to the corresponding adaptive impedance matching network and protocol conversion engine, and generate communication interface adaptive parameters including impedance matching parameters and protocol conversion parameters to implement adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0142] In this step, the protocol conversion engine refers to a software module that performs data frame format conversion, and implements field mapping, data range adjustment, and verification processing according to the protocol conversion rule set; the impedance matching parameters refer to the circuit configuration parameters of the adaptive impedance matching network; the protocol conversion parameters refer to the rule parameters required by the protocol conversion engine; the adaptive processing operation refers to a closed-loop control process that dynamically adjusts the impedance matching and protocol conversion parameters according to the real-time environment to ensure interface compatibility and communication stability.

[0143] In the embodiment of the present invention, first, according to the data communication interface identifier of the protocol conversion group, the equivalent inductance value and capacitance value in the compensated and optimized parameters are sent to the corresponding adaptive impedance matching network to update its circuit configuration; secondly, the field mapping order and priority parameters are sent to the protocol conversion engine to reconstruct the data frame conversion logic; finally, the generated communication interface adaptive parameters include impedance matching parameters and protocol conversion parameters to implement adaptive processing of the multi-protocol data communication interface.

[0144] In the embodiment of the present invention, through the collaborative optimization of dynamic impedance matching and protocol conversion rules, first, the parameter optimization efficiency is improved by combining encoding and evaluation functions; secondly, the adaptability to the real-time environment is enhanced through the load compensation mechanism; then, the processing performance of the key protocol group is ensured through priority sorting and conflict resolution; finally, by distributing adaptive parameters, the requirements of impedance matching accuracy and protocol conversion delay are simultaneously met, significantly improving the reliability and compatibility of multi-protocol communication.

[0145] Figure 2 The following is a schematic structural diagram of an adaptive processing system for a multi-protocol data communication interface of a civil aviation measuring instrument provided by an embodiment of the present invention, as Figure 2 shown, the system includes: A construction module 21, configured to construct a protocol compatibility map based on a multi-protocol database of a civil aviation measuring instrument and a communication interface electrical characteristic database, where the protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions of the communication interface; A configuration module 22, configured to configure an adaptive impedance matching network, and adjust the equivalent inductance value and equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions to generate an impedance configuration parameter set; A conversion module 23, configured to convert the 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; A matching module 24, configured to obtain impedance measurement values of each data communication interface of the civil aviation measuring instrument, so as 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 generate a dynamic impedance strategy based on the candidate impedance configuration parameters; An adjustment module 25, configured to adjust the associated parameters of the semantic mapping relationship and the preset data frame conversion rule according to the semantic consistency verification result of the target data frame, so as to generate an adaptive protocol conversion rule set; An optimization module 26, configured to perform collaborative optimization on the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to implement adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

[0146] Figure 2 The adaptive processing system for the multi-protocol data communication interface of the civil aviation measuring instrument described above can execute Figure 1 The processing method for the multi-protocol data communication interface of the civil aviation measuring instrument described in the embodiments shown. The implementation principle and technical effects will not be elaborated. For the adaptive processing system for the multi-protocol data communication interface of the civil aviation measuring instrument in the above embodiments, the specific manners in which each module and unit perform operations have been described in detail in the embodiments related to the method, and will not be elaborated here.

[0147] In a possible design, Figure 2 The adaptive processing system for the multi-protocol data communication interface of the civil aviation measuring instrument described in the embodiments shown can be implemented as a computing device, such as Figure 3 shown, and the computing device can include a storage component 31 and a processing component 32; The storage component 31 stores one or more computer instructions, and the one or more computer instructions are called and executed by the processing component 32.

[0148] The processing component 32 is configured to: construct a protocol compatibility map based on the multi - protocol database and the communication interface electrical characteristic database of civil aviation measuring instruments, where the protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions of the communication interface; configure an adaptive impedance matching network, and adjust the equivalent inductance value and the equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions to generate an impedance configuration parameter set; convert the 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; obtain the impedance measurement values of each data communication interface of the civil aviation measuring instrument, so as to match candidate impedance configuration parameters adapted to the data communication interfaces 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; adjust the associated parameters of the semantic mapping relationship and the preset data frame conversion rules according to the semantic consistency verification result of the target data frame to generate an adaptive protocol conversion rule set; and co - optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to implement adaptive processing of the multi - protocol data communication interfaces of the civil aviation measuring instrument.

[0149] The processing component 32 may include one or more processors to execute computer instructions to complete all or part of the steps in the above - mentioned method. Of course, the processing component may also be implemented by 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, microcontrollers, microprocessors or other electronic components for executing the above - mentioned method.

[0150] 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 memory, flash memory, magnetic disk or optical disk.

[0151] Of course, the computing device may also necessarily include other components, such as input / output interfaces, display components, communication components, etc.

[0152] The input / output interface provides an interface between the processing component and the peripheral interface module, and the above - mentioned peripheral interface module may be an output device, an input device, etc.

[0153] The communication component is configured to facilitate communication between the computing device and other devices in a wired or wireless manner, etc.

[0154] Wherein the computing device can be a physical device or an elastic computing host provided by a cloud computing platform, etc. At this time, the computing device can refer to a cloud server. The above processing component, storage component, etc. can be basic server resources leased or purchased from a cloud computing platform.

[0155] An embodiment of the present invention also provides a computer storage medium storing a computer program, and when the computer program is executed by a computer, it can implement the above Figure 1 processing method of the multi-protocol data communication interface of civil aviation measuring instruments in the illustrated embodiment.

[0156] Those skilled in the art can clearly understand that for the convenience and conciseness of description, the specific working processes of the above-described systems, devices, and units can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0157] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art can understand and implement it without creative labor.

[0158] Through the description of the above embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on such an understanding, the essence of the above technical solution, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0159] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. These modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A processing method for a multi-protocol data communication interface of civil aviation measuring instruments, characterized in that Including: Construct a protocol compatibility map based on a multi - protocol database of civil aviation measuring instruments and a communication interface electrical characteristics database. The protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions of the communication interface; Configure an adaptive impedance matching network, and according to the impedance parameter constraint conditions, adjust the equivalent inductance value and equivalent capacitance value of the adaptive impedance matching network to generate an impedance configuration parameter set; Based on the semantic mapping relationship, convert the original data frame of the first avionics protocol 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 measuring 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; According to the semantic consistency verification result of the target data frame, adjust the association parameters between the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set; Co - optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to realize the adaptive processing of the multi - protocol data communication interface of the civil aviation measuring instrument.

2. The method according to claim 1, wherein Construct a protocol compatibility map based on a multi - protocol database of civil aviation measuring instruments and a communication interface electrical characteristics database. The protocol compatibility map defines the semantic mapping relationship between a first avionics protocol and a second avionics protocol, and the impedance parameter constraint conditions, including: Based on the multi - protocol database of civil aviation measuring instruments, obtain the syntax structure field sets of the first avionics protocol and the second avionics protocol, and perform two - way mapping on the syntax structure fields with the same semantics in the syntax structure field sets to generate an initial semantic mapping relationship table; Obtain the equivalent inductance measurement value set and equivalent capacitance measurement value set of each data communication interface of the civil aviation measuring instrument from the communication interface electrical characteristics database, and respectively fit the equivalent inductance measurement value set and equivalent capacitance measurement value set of each data communication interface 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 equivalent capacitance probability distribution interval, associate each field mapping relationship in the initial semantic mapping relationship table with the corresponding data communication interface to generate triple - relationship nodes. The triple - relationship nodes include data communication interface identifiers, field mapping relationship weights, and impedance constraint intervals; According to the overlap degree of the impedance constraint intervals, perform cluster analysis on the triple - relationship nodes, and merge the nodes that meet the preset conditions into the same protocol conversion group to generate multiple protocol conversion groups with common impedance characteristics; Calculate the impedance sensitivity index of each protocol conversion group, and perform priority sorting on the protocol conversion groups based on the impedance sensitivity index to construct a protocol compatibility map.

3. The method according to claim 1, characterized in that, Obtain the impedance measurement values of each data communication interface of the civil aviation measuring 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, including: 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, and compare the impedance measurement value of each data communication interface with the impedance constraint interval of the corresponding protocol conversion group to calculate the impedance deviation amount of the corresponding protocol conversion group; When the impedance deviation amount of each protocol conversion group exceeds the preset exclusive threshold of the corresponding protocol conversion group and reaches the set number of cycles, mark the corresponding protocol conversion group as an abnormal protocol conversion group; Collect the time-frequency domain reflection characteristics of the data communication interface corresponding to the abnormal protocol conversion group, and generate the extended impedance constraint interval of the abnormal protocol conversion group in combination with the impedance sensitivity index; Based on the extended impedance constraint interval, match the candidate impedance configuration parameter set adapted to the data communication interface of the abnormal protocol conversion group from the impedance configuration parameter set; Perform conflict resolution and fusion processing on the candidate impedance configuration parameter set to generate a dynamic impedance strategy.

4. The method according to claim 3, wherein Perform conflict resolution and fusion processing on the candidate impedance configuration parameter set to generate a dynamic impedance strategy, including: Calculate the absolute values of the differences 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 values of the extended impedance constraint interval to generate an inductance deviation amount and a capacitance deviation amount; Identify the conflict feature range in which the differences between the inductance deviation amount and the capacitance deviation amount of all candidate impedance configuration parameters within the same abnormal protocol conversion group exceed the set conflict threshold; Screen the target candidate impedance configuration parameters whose equivalent inductance value and equivalent capacitance value are both within the extended impedance constraint interval within the conflict feature range, and mark the target candidate impedance configuration parameter with the smallest sum of the inductance deviation amount and the capacitance deviation amount as the selected parameter; Remove the candidate impedance configuration parameters in the candidate impedance configuration parameter set that have an overlapping conflict feature range with the equivalent inductance value and equivalent capacitance value of the selected parameter to obtain an intermediate candidate impedance configuration parameter set; Calculate the weighted deviation result of each intermediate candidate impedance configuration parameter in the intermediate candidate impedance configuration parameter set, and use the intermediate candidate impedance configuration parameter with the lowest weighted deviation result as the reference parameter; Superimpose the equivalent inductance value and equivalent capacitance value of all intermediate candidate impedance configuration parameters whose difference in weighted deviation results is within the preset tolerance range, and the reference parameter to generate a fusion parameter; Combine the selected parameter and the fusion parameter to generate a dynamic impedance strategy.

5. The method according to claim 1, wherein According to the semantic consistency verification result of the target data frame, adjust the association parameters between the semantic mapping relationship and the preset data frame conversion rule to generate an adaptive protocol conversion rule set, including: Analyze the field missing identifier and data range overrun identifier in the semantic consistency check result of the target data frame, and count the field missing times and overrun deviation amounts corresponding to the semantic mapping relationship according to the field missing identifier and data range overrun identifier; Downgrade the priority parameter of the semantic mapping relationship according to the field missing times to obtain an adjusted priority parameter; Based on the overrun deviation amount, expand and adjust the constraint range of the associated parameter of the preset data frame conversion rule to generate an updated associated parameter; Bind the adjusted priority parameter and the updated associated parameter to the semantic mapping relationship to generate a bound mapping relationship set; Reorganize the field mapping order of the preset data frame conversion rule according to the adjusted priority parameter to generate a preliminary protocol conversion rule set; Extract the target protocol conversion rules in the preliminary protocol conversion rule set that meet the preset integrity threshold and consistency threshold to generate an adaptive protocol conversion rule set.

6. The method according to claim 5, wherein Based on the overrun deviation amount, expand and adjust the constraint range of the associated parameter of the preset data frame conversion rule to generate an updated associated parameter, including: 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; Expand the boundary constraint range of the associated parameter of the preset data frame conversion rule according to the overrun direction to generate a preliminary expanded constraint range, where when the overrun direction is positive overrun, expand the upper limit value of the preliminary expanded constraint range according to the overrun amplitude value, and when the overrun direction is negative overrun, expand the lower limit value of the preliminary expanded constraint range according to the overrun amplitude value; Detect conflicts in the preliminary expanded constraint range to generate a compliant expanded constraint range, so that the upper limit value of the preliminary expanded constraint range with positive overrun is truncated to the upper limit value of the impedance constraint interval, and the lower limit value of the preliminary expanded constraint range with negative overrun is raised to the lower limit value of the impedance constraint interval; Fuse the compliant expanded constraint range with the associated parameter of the preset data frame conversion rule directionally to generate an updated associated parameter.

7. The method according to claim 1, wherein Collaboratively optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters to achieve adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument, including: Jointly encode the equivalent inductance value and equivalent capacitance value in the dynamic impedance strategy with the field mapping order in the adaptive protocol conversion rule set to generate an optimization parameter space; Based on the priority order of the protocol conversion group, establish a joint evaluation function of protocol conversion delay and impedance matching accuracy 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 reach the optimum as the initial optimization parameter combination; Compensate the load fluctuation in the real-time communication environment for the initial optimization parameter combination according to the overlapping conflict characteristic range and field missing identifier to generate a compensated optimization parameter; According to the data communication interface identifier of the protocol conversion group, distribute the compensated and optimized parameters to the corresponding adaptive impedance matching network and protocol conversion engine, and generate communication interface adaptive parameters including impedance matching parameters and protocol conversion parameters, so as to realize the adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

8. An adaptive processing system for a multi-protocol data communication interface of a civil aviation measuring instrument, characterized in that, It includes: A construction module, configured to construct a protocol compatibility map based on the multi-protocol database of the civil aviation measuring instrument and the communication interface electrical characteristic database, where the protocol compatibility map defines the semantic mapping relationship between the first avionics protocol and the second avionics protocol, and the impedance parameter constraint conditions of the communication interface; A configuration module, configured to configure the adaptive impedance matching network, and adjust the equivalent inductance value and equivalent capacitance value of the adaptive impedance matching network according to the impedance parameter constraint conditions to generate an impedance configuration parameter set; A conversion module, configured to convert the 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; A matching module, configured to obtain the impedance measurement values of each data communication interface of the civil aviation measuring instrument, so as 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 generate a dynamic impedance strategy based on the candidate impedance configuration parameters; An adjustment module, configured to adjust the associated parameters of the semantic mapping relationship and the preset data frame conversion rule according to the semantic consistency verification result of the target data frame, so as to generate an adaptive protocol conversion rule set; An optimization module, configured to co-optimize the dynamic impedance strategy and the adaptive protocol conversion rule set to generate communication interface adaptive parameters, so as to realize the adaptive processing of the multi-protocol data communication interface of the civil aviation measuring instrument.

9. 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 used to be called and executed by the processing component to implement the processing method of the multi-protocol data communication interface of the civil aviation measuring instrument according to any one of claims 1 to 7.

10. A computer storage medium, characterized in that, A computer program is stored, and when the computer program is executed by the computer, it implements the processing method of the multi-protocol data communication interface of the civil aviation measuring instrument according to any one of claims 1 to 7.

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