CN117331548B - Low-code development system based on intelligent building software - Google Patents
Low-code development system based on intelligent building software Download PDFInfo
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Abstract
The invention discloses a low-code development system based on intelligent building software, which solves the problems that the low-code development difficulty is high because different subsystems cannot be analyzed in a cross-layer manner during low-code development due to the fact that the attribute, the type and the compatibility of a plurality of groups of subsystems of the existing building integrated management system are different, and the low-code development system based on intelligent building software comprises a front-end service module, a low-code cloud platform, a rear-end management module and a visualization module; compared with the prior art, the front-end service module performs dimension reduction processing on the output data, so that analysis analogy is performed on different subsystems of the intelligent building software in a lower-layer more abstract dimension, and cross-layer understanding is realized on different subsystems, and low-code development and low-cost application of the intelligent building software are realized.
Description
Technical Field
The invention belongs to the technical field of low-code development of software, and particularly relates to a low-code development system based on intelligent building software.
Background
The building integrated management system is based on integration and service fusion of various subsystems in regional building groups, and performs centralized supervision and unified management on various building service subsystems so as to create an intelligent building environment, however, as the building scale is increased, the Internet of things equipment in the building is increased, so that the types of on-site subsystems are increased continuously, and how to deeply fuse the subsystems in the intelligent building becomes a difficulty.
Along with the continuous perfection and progress of technology, low-code development application becomes an effective means for deeply fusing all subsystems in an intelligent building in intelligent building management, and low-code is a set of digital technology tool platforms, and rapid construction, data arrangement, ecological connection and middle service are realized based on more efficient modes such as graphic dragging, parameterized configuration and the like. However, when the existing building integrated management system is subjected to low-code development, the attribute, type and compatibility differences exist in a plurality of groups of subsystems of the existing building integrated management system, so that cross-level analysis cannot be performed on different subsystems during low-code development, the low-code development difficulty is high, the low-code development cost is also improved, and based on the low-code development system, the low-code development system based on intelligent building software is provided.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a low-code development system based on intelligent building software, which solves the problems that the attribute, type and compatibility of a plurality of groups of subsystems of the existing building integrated management system are different, so that the low-code development cannot be carried out in a cross-layer manner on different subsystems, and the difficulty of the low-code development is high.
In the prior art, when the existing building integrated management system is subjected to low-code development, the attribute, type and compatibility differences exist in a plurality of groups of subsystems of the existing building integrated management system, so that the low-code development difficulty is high and the low-code development cost is also improved due to the fact that cross-level analysis cannot be carried out on different subsystems in the low-code development, and based on the low-code development difficulty, the low-code development system based on intelligent building software is provided, and in order to solve the problems, the low-code development system based on intelligent building software is provided, and in short, the system comprises a front-end service module, a low-code cloud platform, a rear-end management module and a visualization module, wherein the low-code cloud platform is respectively in communication connection with the front-end service module, the rear-end management module and the visualization module, the front-end service module responds to the low-code development instruction, establishes communication connection with at least one group of intelligent building software based on the low-code development instruction, acquires output data of at least one group of intelligent building software, performs characteristic analysis on the output data to obtain a data analysis result, sends the encrypted data analysis result to the low-code cloud platform, then the low-code cloud platform analyzes the data analysis result, invokes a front-end base framework stored in a preset template database based on the analyzed data analysis result, generates a low-code development model in an automatic code generation mode, deploys a low-code development model based on the intelligent building software, the low-code development model performs interface call according to a front-end interface input by the intelligent building software, iteratively generates an application script corresponding to the intelligent building software, and simultaneously the visualization module provides a visual programming interface, the visualization presents continuous iterations and evolutions of the low code development model and monitors the low code development model algorithm state. Compared with the prior art, the front-end service module performs dimension reduction processing on the output data, so that analysis analogy is performed on different subsystems of the intelligent building software in a lower-layer more abstract dimension, and cross-layer understanding is realized on different subsystems, and low-code development and low-cost application of the intelligent building software are realized.
The invention is realized in such a way, and the low-code development system based on the intelligent building software comprises a front-end service module, a low-code cloud platform, a rear-end management module and a visualization module, wherein the low-code cloud platform is respectively in communication connection with the front-end service module, the rear-end management module and the visualization module:
the front-end service module responds to the low-code development instruction, establishes communication connection with at least one group of intelligent building software based on the low-code development instruction, acquires output data of the at least one group of intelligent building software, performs characteristic analysis on the output data to obtain a data analysis result, and sends the encrypted data analysis result to the low-code cloud platform;
the low-code cloud platform is used for analyzing the data analysis result, calling a front end terminal framework stored in a preset template database based on the analyzed data analysis result, and generating a low-code development model in an automatic code generation mode;
the back-end management module is used for deploying a low-code development model based on intelligent building software, and the low-code development model carries out interface calling according to a front-end interface input by the intelligent building software to iteratively generate an application script corresponding to the intelligent building software;
And the visualization module is used for providing a visual programming interface, visually presenting continuous iteration and evolution of the low-code development model and monitoring the algorithm state of the low-code development model.
Preferably, the front-end service module includes:
the front-end communication unit responds to the low-code development instruction and establishes communication connection with at least one group of intelligent building software based on the low-code development instruction;
the front-end analysis unit is used for obtaining output data of at least one group of intelligent building software, and performing characteristic analysis on the output data to obtain a data analysis result;
and the encryption transmission unit is used for transmitting the encrypted data analysis result to the low-code cloud platform.
Preferably, the front-end analysis unit includes:
the subsystem traversing module is used for traversing the output data of at least one group of intelligent building software and identifying at least one group of subsystems corresponding to the intelligent building software and source codes associated with the subsystems based on the output data;
the source code analysis module is used for calling a base/generator plug-in a preset template database to analyze a source code grammar tree associated with the subsystem so as to obtain an analysis json file;
And the feature representation module is used for loading an analysis json file, and carrying out characteristic propagation, aggregation and iteration on the output data based on the characteristics of the analysis json file to obtain a data analysis result, wherein the analysis json file comprises a function name, parameter information, function annotation, a function return value type and a function call relation in a source code grammar tree function type.
Preferably, the characteristic propagation, aggregation and iteration are performed on the output data based on the characteristic of the parsed json file to obtain a data analysis result, which comprises the following steps:
acquiring an analysis json file, and representing information in the analysis json file as a triplet matrix setThe triplet matrix set comprises a function, an attribute and an attribute value set for analyzing the json file;
propagating the triplet matrix set based on the gradient descent algorithm, optimizing vector representation of the triplet matrix set and the characteristics, and obtaining propagation potential energy of the triplet matrix set；
Wherein the potential energy is propagatedCalculated by formula (1);
（1）
wherein,propagation function representing a set of triplets matrix, +.>Vector representing triplet matrix set function correspondence, +.>Representing vectors corresponding to the relation of the triplet matrix set, and +. >Representing vectors corresponding to attribute values, propagating potential energyExpressed by a binary norm ++>The expression formula (2) of (2) is:
（2）
where k is represented as an parsed json fileThe number of attributes is set to be equal to the number of attributes,for the propagation coefficient of the propagation function +.>Coupling coefficients that are propagation functions;
acquiring propagation potential energy of triplet matrix setPropagation potential energy of triplet matrix set based on aggregation function>Performing aggregation treatment to obtain matrix aggregation value +.>；
Wherein the matrix aggregate valueExpressed by formula (3):
（3）
wherein W represents a weight matrix,representing the aggregate gradient of the triplet matrix set at a weight of W, k is represented as the number of resolved json file attributes, and m [ i, j ]]Propagation potential for input triplet matrix set>Is a matrix of information of (a);
and carrying out characteristic iteration on the output data based on the iteration function, and updating to obtain a data analysis result.
Preferably, the method for sending the encrypted data analysis result to the low-code cloud platform by the encryption transmission unit specifically includes:
the encryption transmission unit acquires a data analysis result, and the encryption transmission unit identifies identity information of an intelligent building software subsystem associated with the data analysis result;
generating a public key and a secret key based on identity information of the intelligent building software subsystem, and sending the public key and the secret key to the low-code cloud platform;
The encryption transmission unit is used for sectionally processing the data analysis result, sectioning the data analysis result into a plurality of groups of data sections, characteristic sections, attribute sections and identity sections, integrating the data sections, the characteristic sections, the attribute sections and the identity sections, and obtaining an integrated section set。
Preferably, the method for sending the encrypted data analysis result to the low-code cloud platform by the encryption transmission unit specifically further includes:
for integration segment collectionThe file section generates a corresponding random encryption number +.>Integration segment set->And random encryption number->Polymerizing to obtain polymerized encrypted segment->；
Acquiring aggregated encrypted segmentsAccumulating the aggregated encrypted segments to obtain accumulated encrypted segments +.>；
Calculating a tag value of the accumulated encrypted piece based on the hash encryption function, wherein the tag value is calculated byEquation (4) calculating the tag value of the accumulated encrypted piece；
（4）
Wherein,for identity information key->Is an identity information public key, and +.>Is a hash encryption function;
（5）
wherein,encryption coefficient for hash->Representing the transformation curvature of the hash encryption function, whereas +.>Representing the minimum encryption error of the hash encryption function.
Preferably, the low-code cloud platform specifically includes:
an index database for importing NLP-based labeling, registration, logical code generation capabilities, and storing a front end base framework and Python-supporting data types and data structures associated with the front end base framework;
A model construction unit that generates a low-code development model based on a manner of automatic code generation;
and the application authorization module is used for loading an application script, verifying the application authority of the intelligent building software subsystem, ignoring the application script if the intelligent building software subsystem is verified to have no authority, and sending the application script to the back-end management module if the intelligent building software subsystem is verified to have the authority.
Preferably, the method for generating the low-code development model based on the automatic code generation mode specifically comprises the following steps:
acquiring a data analysis result and a front end base frame corresponding to the data analysis result, loading the front end base frame, and configuring a low coding module and a local feature mining module for the front end base frame;
the low coding module codes the data analysis result sequence to obtain a token low coding sequence;
loading a token low coding sequence, and obtaining initialized subjects characteristics and objects characteristics by utilizing a local characteristic mining module;
and configuring at least one group of independently arranged full-connection splicing modules for the front end framework, and splicing initialized subjects features and objects features by the full-connection splicing modules to obtain full-connection features.
Preferably, the method for generating the low-code development model based on the automatic code generation mode specifically further comprises the following steps:
loading full connection features, and mining full connection feature relation and low-code global association based on a transducer model;
and performing N rounds of iterative operation on the full connection feature, the full connection feature relation and the low code global association by using residual connection to obtain a low code development model with final training.
Preferably, the backend management module includes:
the model deployment unit is used for deploying a low-code development model based on intelligent building software;
and the interface calling unit is used for acquiring a low-code development model, and the low-code development model carries out interface calling according to the front-end interface input by the intelligent building software and iteratively generates an application script corresponding to the intelligent building software.
Compared with the prior art, the embodiment of the application has the following main beneficial effects:
compared with the prior art, the front-end service module performs dimension reduction processing on the output data, so that analysis analogy is performed on different subsystems of the intelligent building software in a lower-layer more abstract dimension, and cross-layer understanding is realized on different subsystems, and low-code development and low-cost application of the intelligent building software are realized.
According to the embodiment of the invention, the front-end analysis unit is configured to perform characteristic analysis on the output data to obtain the data analysis result, so that the output data of at least one group of subsystems corresponding to intelligent building software is accurately identified, the output data is analyzed, support is provided for low-code operation of a low-code development model, meanwhile, the front-end analysis unit and the encryption transmission unit are matched to work, the confidentiality of the analyzed data is ensured, the leakage of the data is avoided, and the safety of the system is enhanced.
According to the embodiment of the invention, based on the characteristic of the analysis json file, the characteristic propagation, aggregation and iteration are carried out on the output data to obtain the data analysis result, so that an effective analysis result sample is provided for the construction of the low-code development model, the low-code development model is enabled to monitor the building operation in real time and support the algorithm, and the low-code development model is enabled to be compatible with intelligent building software subsystems of different versions and formats.
Drawings
Fig. 1 is a schematic diagram of a framework structure of a low-code development system based on intelligent building software.
Fig. 2 is a schematic diagram of an architecture of a front-end service module according to the present invention.
Fig. 3 is a schematic implementation flow chart of the data analysis result obtained by characteristic propagation, aggregation and iteration of output data based on the characteristic of the parse json file.
Fig. 4 is a schematic implementation flow chart of a method for sending an encrypted data analysis result to a low-code cloud platform by an encryption transmission unit provided by the invention.
Fig. 5 is a schematic diagram of an architecture of the low-code cloud platform provided by the present invention.
FIG. 6 is a schematic diagram of an implementation flow of the method for generating a low-code development model based on the automatic code generation method provided by the invention.
Fig. 7 is a schematic architecture diagram of a back-end management module according to the present invention.
Fig. 8 is a schematic implementation flow chart of the low-code development method based on intelligent building software.
In the figure: the system comprises a 100-front-end service module, a 110-front-end communication unit, a 120-front-end analysis unit, a 121-subsystem traversing module, a 122-source code analyzing module, a 123-feature representing module, a 130-encryption transmission unit, a 200-low code cloud platform, a 210-index database, a 220-model building unit, a 230-application authorization module, a 300-back-end management module, a 310-model deployment unit, a 320-interface calling unit and a 400-visualization module.
Detailed Description
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used in the description of the applications herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions. The terms first, second and the like in the description and in the claims or in the above-described figures, are used for distinguishing between different objects and not necessarily for describing a sequential or chronological order.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the prior art, when the existing building integrated management system is subjected to low-code development, the existing building integrated management system is subjected to attribute, type and compatibility differences in multiple groups of subsystems, so that the different subsystems cannot be subjected to cross-level analysis during low-code development, the low-code development difficulty is high, and the low-code development cost is also improved, based on the low-code development difficulty, we propose a low-code development system based on intelligent building software, in order to solve the problems, we propose a low-code development system based on intelligent building software, in short, the system comprises a front-end service module 100, a low-code cloud platform 200, a rear-end management module 300 and a visualization module 400, the low-code cloud platform 200 is respectively in communication connection with the front-end service module 100, the rear-end management module 300 and the visualization module 400, when the low-code development system works, the front-end service module 100 responds to a low-code development instruction, establishes communication connection with at least one set of intelligent building software based on the low-code development instruction, acquires output data of the intelligent building software, performs characteristic analysis on the output data of the intelligent building software, obtains a data analysis result, sends encrypted data to the intelligent building software, and automatically calls the low-code development platform to the intelligent building platform based on the low-code development platform, the low-code development platform generates a corresponding low-code development platform, the low-code development platform generates a low-code development interface module, the low-interface analysis module generates a low-end interface analysis result, and a low-code platform is applied to the low-code platform, and an iteration interface analysis module is applied to the low-end interface module, and a low-code platform is applied to the low-code platform, and an interface analysis module is deployed, and a low-interface platform is applied to the low-code platform, and a low-code platform is applied, at the same time, the visualization module 400 provides a visual programming interface, and the visualization presents continuous iteration and evolution of the low-code development model and monitors the algorithm state of the low-code development model. Compared with the prior art, the front-end service module 100 performs dimension reduction processing on the output data based on the intelligent building software, so that analysis analogy is performed on different subsystems of the intelligent building software in a lower-layer more abstract dimension, and cross-layer understanding is realized on different subsystems, thereby realizing low-code development and low-cost application of the intelligent building software.
The embodiment of the invention provides a low-code development system based on intelligent building software, and fig. 1 shows an architecture schematic diagram of the low-code development system based on intelligent building software, wherein the low-code development system based on intelligent building software comprises a front-end service module 100, a low-code cloud platform 200, a back-end management module 300 and a visualization module 400, and the low-code cloud platform 200 is respectively in communication connection with the front-end service module 100, the back-end management module 300 and the visualization module 400.
It should be noted that, the communication connection manner between the low-code cloud platform 200 and the front-end service module 100, the back-end management module 300 and the visualization module 400 may be 5G, VPN or DTU communication connection, and when the low-code cloud platform 200 is connected to the front-end service module 100, the back-end management module 300 and the visualization module 400, the low-code cloud platform 200 may be connected to the front-end service module 100, the back-end management module 300 and the visualization module 400 through a local area network, and a user may log in to access the low-code cloud platform 200 by logging in to a server or an IP address corresponding to the front-end service module 100, the back-end management module 300 and the visualization module 400.
The front-end service module 100, the front-end service module 100 responds to the low-code development instruction, establishes communication connection with at least one group of intelligent building software based on the low-code development instruction, acquires output data of the at least one group of intelligent building software, performs characteristic analysis on the output data to obtain a data analysis result, and sends the encrypted data analysis result to the low-code cloud platform 200;
in this embodiment, the intelligent building software includes, but is not limited to, an integrated management system (IBMS) of an LST intelligent building, a 3D visual management platform of an LST building, and an LST intelligent property management system, while the output data acquisition mode of the intelligent building software includes, but is not limited to, a MySQL database of a subsystem of the intelligent building software, a running log of the subsystem, a logical relationship of the subsystem, and a workflow engine of the subsystem, and the output data type of the intelligent building software may be an integer type, a floating point type, binary data, an array, a list, and an aggregate form of logical data.
The low-code cloud platform 200 is used for analyzing data analysis results, calling a front end framework stored in a preset template database based on the analyzed data analysis results, and generating a low-code development model in an automatic code generation mode;
The back-end management module 300 is used for deploying a low-code development model based on intelligent building software, and the low-code development model performs interface call according to a front-end interface input by the intelligent building software to iteratively generate an application script corresponding to the intelligent building software;
the visualization module 400 is configured to provide a visual programming interface, and the visualization module 400 is configured to visually present continuous iteration and evolution of the low-code development model and monitor an algorithm state of the low-code development model.
In this embodiment, the visualization module 400 has the functions of global cluster state viewing and low code cloud platform 200 container state statistics, and meanwhile, the visualization module 400 can display the routing topology, gateway topology calling relationship and state display of the low code cloud platform 200, the front-end service module 100 and the back-end management module 300 in real time.
Compared with the prior art, the front-end service module 100 performs dimension reduction processing on the output data based on the intelligent building software, so that analysis analogy is performed on different subsystems of the intelligent building software in a lower-layer more abstract dimension, and cross-layer understanding is realized on different subsystems, thereby realizing low-code development and low-cost application of the intelligent building software.
The embodiment of the present invention provides a front-end service module 100, fig. 2 shows a schematic architecture diagram of the front-end service module 100, where the front-end service module 100 specifically includes:
the front-end communication unit 110 is used for responding to the low-code development instruction, establishing communication connection with at least one group of intelligent building software based on the low-code development instruction, wherein the front-end communication unit 110 can be a communication terminal supporting 5G, VPN or DTU, and the front-end communication unit 110 is powered on responding to the low-code development instruction, and establishes communication connection with a plurality of groups of intelligent building software in a one-to-n mode to realize data interaction;
the front-end analysis unit 120 is configured to obtain output data of at least one group of intelligent building software, perform characteristic analysis on the output data, and obtain a data analysis result;
the encryption transmission unit 130 is configured to send the encrypted data analysis result to the low-code cloud platform 200.
According to the embodiment of the invention, the front-end analysis unit 120 is configured to perform characteristic analysis on the output data to obtain a data analysis result, so that the output data of at least one group of subsystems corresponding to intelligent building software is accurately identified, the output data is analyzed, support is provided for low-code operation of a low-code development model, meanwhile, the front-end analysis unit 120 and the encryption transmission unit 130 are matched to work, the confidentiality of the analyzed data is ensured, the leakage of the data is avoided, and the safety of the system is enhanced.
In this embodiment, the front-end analysis unit 120 includes:
the subsystem traversing module 121 is configured to traverse output data of at least one group of intelligent building software, identify at least one group of subsystems corresponding to the intelligent building software and source codes associated with the subsystems based on the output data, and consider that different intelligent building software is configured with different subsystems, so that the embodiment performs normalization analysis on the output data by traversing the source codes corresponding to the subsystems, thereby ensuring low code development model low code operation and visualization operation;
it should be noted that different intelligent building software is configured with different subsystems including, but not limited to, an access control subsystem, a parking management subsystem, an entrance and exit management subsystem, an integrated conference management subsystem, a fire alarm management subsystem, a high-altitude parabolic recognition system, a PLC management subsystem, and a GIS management subsystem.
The source code analysis module 122 is configured to invoke a babel/generator plug-in a preset template database to analyze a source code syntax tree associated with the subsystem, so as to obtain an analysis json file;
and the feature representation module 123 is used for loading an analysis json file, and carrying out characteristic propagation, aggregation and iteration on the output data based on the characteristics of the analysis json file to obtain a data analysis result, wherein the analysis json file comprises a function name, parameter information, a function annotation, a function return value type and a function call relation in a source code grammar tree function type.
The embodiment of the invention provides a method for carrying out characteristic propagation, aggregation and iteration on output data based on analysis json file characteristics to obtain a data analysis result, and fig. 3 shows a schematic implementation flow diagram of the data analysis result obtained by carrying out characteristic propagation, aggregation and iteration on the output data based on the analysis json file characteristics, wherein the method specifically comprises the following steps:
step S101, an analysis json file is obtained, and information in the analysis json file is expressed as a triplet matrix setThe triplet matrix set comprises a function, an attribute and an attribute value set for analyzing the json file;
in this embodiment, the relationship among the functions, the attributes and the attribute values of the json file can be effectively extracted by representing the information in the parsed json file as the triplet matrix set, so that the problem of overlarge recognition errors of the functions, the attributes and the attribute values at the present stage is avoided, and the extraction mode of representing the information in the parsed json file as the triplet matrix set can adopt a Pipeline model or a join model.
Step S102, propagating a triplet matrix set based on a gradient descent algorithm, and optimizing the triplet matrix set and characteristic vector representation to obtain a triplet Propagation potential of group matrix set；
Wherein the potential energy is propagatedCalculated by formula (1);
（1）
wherein,propagation function representing a set of triplets matrix, +.>Vector representing triplet matrix set function correspondence, +.>Representing vectors corresponding to the relation of the triplet matrix set, and +.>Representing vectors corresponding to attribute values, propagating potential energyExpressed by a binary norm ++>The expression formula (2) of (2) is:
（2）
where k is expressed as the number of resolved json file attributes,for the propagation coefficient of the propagation function +.>In this embodiment, the propagation coefficient of the propagation function takes a value in the range of 0.1-0.6]And the coupling coefficient of the propagation function is in the range of 0.4-0.8]；
Step S103, acquiring propagation potential energy of the triplet matrix setPropagation potential energy of triplet matrix set based on aggregation function>Performing aggregation treatment to obtain matrix aggregation value +.>；
Wherein the matrix aggregate valueExpressed by formula (3):
（3）
wherein W represents a weight matrix,representing the aggregate gradient of the triplet matrix set at a weight of W, k is represented as the number of resolved json file attributes, and m [ i, j ]]Propagation potential for input triplet matrix set>Is a matrix of information of (a);
And step S104, carrying out characteristic iteration on the output data based on the iteration function, and updating to obtain a data analysis result.
According to the embodiment of the invention, based on the characteristic of the analysis json file, the characteristic propagation, aggregation and iteration are carried out on the output data to obtain the data analysis result, so that an effective analysis result sample is provided for the construction of the low-code development model, the low-code development model is enabled to monitor the building operation in real time and support the algorithm, and the low-code development model is enabled to be compatible with intelligent building software subsystems of different versions and formats.
The embodiment of the present invention provides a method for sending an encrypted data analysis result to a low-code cloud platform 200 by an encryption transmission unit 130, and fig. 4 shows a schematic implementation flow chart of a method for sending an encrypted data analysis result to a low-code cloud platform 200 by the encryption transmission unit 130, where the method for sending an encrypted data analysis result to a low-code cloud platform 200 by the encryption transmission unit 130 specifically includes:
step S201, the encryption transmission unit 130 obtains the data analysis result, and the encryption transmission unit 130 identifies the identity information of the intelligent building software subsystem associated with the data analysis result;
step S202, generating a public key and a secret key based on identity information of the intelligent building software subsystem, and transmitting the public key and the secret key to the low-code cloud platform 200;
In this embodiment, the public key and the secret key may be generated based on the identity information of the intelligent building software subsystem by using an asymmetric RSA homomorphic algorithm (rsaallgorithm).
Step S203, the encryption transmission unit 130 segments the data analysis result into multiple groups of data segments, feature segments, attribute segments and identity segments, integrates the data segments, feature segments, attribute segments and identity segments, and obtains an integrated segment set。
The encryption transmission unit 130 in the embodiment of the invention performs encryption transmission on the data analysis result based on the data type, the feature type, the attribute type and the identity type of the data analysis result, thereby facilitating the low-code cloud platform 200 to acquire the normalized data analysis result, effectively reducing the load of the low-code cloud platform 200 and improving the construction efficiency and precision of the low-code cloud platform 200 model.
Step S204, integrating segment setThe file section generates a corresponding random encryption number +.>Integration segment set->And random encryption number->Polymerizing to obtain polymerized encrypted segment->；
Step S205, acquiring an aggregated encrypted segmentAccumulating the aggregated encrypted segments to obtain accumulated encrypted segments ；
Step S206, calculating the label value of the accumulated encrypted piece based on the hash encryption function, wherein the label value of the accumulated encrypted piece is calculated by the formula (4)；
（4）
Wherein,for identity information key->Is an identity information public key, and +.>Is a hash encryption function;
（5）
wherein,encryption coefficient for hash->Representing the transformation curvature of the hash encryption function, the transformation curvature of the hash encryption function may be 0.1-0.15, and +.>Representing the minimum encryption error of the hash encryption function, the minimum encryption error of the hash encryption function may be 0.0001-0.0002.
The embodiment of the invention provides a low-code cloud platform 200, fig. 5 shows a schematic architecture diagram of the low-code cloud platform 200, where the low-code cloud platform 200 specifically includes:
an index database 210 for importing NLP-based labeling, registration, logical code generation capabilities, and storing a front-end infrastructure and Python-supporting data types and data structures associated with the front-end infrastructure;
it should be noted that, the index database 210 may be a ralce, MSSqlserver, mysql, IQ, ES, mongo database, and the index database 210 stores a front end base frame, where the front end base frame may be a low code program written by c++, and the output mode of the front end base frame may output the front end base frame through an OutputStreamWriter conversion stream or an InputStreamReader conversion stream, so as to ensure compatibility of the front end base frame to different types of subsystems.
A model construction unit 220, the model construction unit 220 generating a low-code development model based on a manner of automatic code generation;
in this embodiment, the low-code development model includes a low-coding module, a local feature mining module, and at least one group of fully-connected splicing modules, and the low-coding module, the local feature mining module, and the at least one group of fully-connected splicing modules implement the problem of collaborative development of multiple groups of subsystems in the low-code development model through the architecture of the distributed system, thereby helping a developer promote the compatible management and control capability of intelligent building software development projects.
The application authorization module 230 is configured to load an application script, verify the application authority of the intelligent building software subsystem, ignore the application script if the intelligent building software subsystem is verified to have no authority, and send the application script to the backend management module 300 if the intelligent building software subsystem is verified to have authority.
In the present embodiment, the code of the model construction unit 220 for generating the low code development model based on the automatic code generation manner includes, but is not limited to, ontroller, service, dao, mapper, entity, vue. And the application script running language can be va, net, php, python, node.
The embodiment of the invention provides a method for generating a low-code development model based on an automatic code generation mode, and fig. 6 shows a schematic implementation flow chart of the method for generating the low-code development model based on the automatic code generation mode, wherein the method for generating the low-code development model based on the automatic code generation mode specifically comprises the following steps:
step S301, a data analysis result and a front end base frame corresponding to the data analysis result are obtained, the front end base frame is loaded, and a low coding module and a local feature mining module are configured for the front end base frame;
step S302, a low coding module codes a data analysis result sequence to obtain a token low coding sequence;
step S303, loading a token low coding sequence, and obtaining initialized subjects characteristics and objects characteristics by utilizing a local characteristic mining module;
step S304, at least one group of independently arranged full-connection splicing modules are configured for the front end framework, and the full-connection splicing modules splice initialized subjects features and objects features to obtain full-connection features.
Step S305, loading full connection features, and mining full connection feature relation and low code global association based on a transducer model;
And step S306, performing N rounds of iterative operation on the full-connection feature, the full-connection feature relation and the low-code global association by using residual connection to obtain a low-code development model with the final training completed.
In this embodiment, when N rounds of iterative operations are performed on the full connection feature, the full connection feature relation and the low code global association by using residual connection, the number of iterative operations may be 100-500 times, and the low code development model constructed and trained by the embodiment of the present invention can be compatible with subsystems of different intelligent building software, and meanwhile, provide low-cost accurate early warning for building security, access control, parking and disaster data by combining attribute features of different subsystems.
The embodiment of the present invention provides a back-end management module 300, fig. 7 shows a schematic architecture diagram of the back-end management module 300, where the back-end management module 300 specifically includes:
a model deployment unit 310, wherein the model deployment unit 310 is used for deploying a low-code development model based on intelligent building software;
the interface calling unit 320 is used for obtaining a low-code development model, and the low-code development model performs interface calling according to the front interface input by the intelligent building software, and iteratively generates an application script corresponding to the intelligent building software.
In this embodiment, the model deployment unit 310 and the interface calling unit 320 are connected by bluetooth or 5G communication, and the model deployment unit 310 can deploy the low-code development model in the intelligent building software subsystem in a high-compatibility manner.
The embodiment of the invention provides a low-code development method based on intelligent building software, and fig. 8 shows an implementation flow diagram of the low-code development method based on intelligent building software, wherein the low-code development method based on intelligent building software specifically comprises the following steps:
step S10, in response to the low-code development instruction, establishing communication connection with at least one group of intelligent building software based on the low-code development instruction, obtaining output data of the at least one group of intelligent building software, performing characteristic analysis on the output data to obtain a data analysis result, and sending the encrypted data analysis result to the low-code cloud platform 200;
step S20, analyzing the data analysis result, calling a front end base framework stored in a preset template database based on the analyzed data analysis result, and generating a low-code development model in an automatic code generation mode;
step S30, deploying a low-code development model based on intelligent building software, and performing interface call by the low-code development model according to a front-end interface input by the intelligent building software, and iteratively generating an application script corresponding to the intelligent building software;
Step S40, a visual programming interface is provided, continuous iteration and evolution of the low-code development model are visually presented, and algorithm states of the low-code development model are monitored.
In another aspect, an embodiment of the present invention further provides a computer device, where the computer device includes a display screen, a memory, a processor, and a computer program, where the memory stores the computer program, and when the computer program is executed by the processor, the processor is caused to execute the steps of the low code development method based on intelligent building software.
It will be appreciated that in the preferred embodiment provided by the present invention, the computer device may also be a notebook computer, a personal digital assistant (Personal Digital Assistant, PDA), a cell phone, or the like, which may communicate.
Meanwhile, in another aspect of the embodiment of the present invention, there is also provided a computer-readable storage medium storing computer program instructions executable by a processor. Which when executed, performs the method of any of the embodiments described above.
The computer program may be split into one or more modules, one or more modules being stored in memory and executed by a processor to perform the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the terminal device. For example, the computer program may be divided into units or modules of the low-code development system based on intelligent building software provided by the various system embodiments described above.
The processor may be a central processing unit (Central Processing Unit, CPU), other general purpose processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal device described above, and which connects the various parts of the entire user terminal using various interfaces and lines.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the disclosure herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as software or hardware depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The modules/units integrated in the terminal device may be stored in a computer readable storage medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may also be implemented by implementing all or part of the modules/units in the system according to the above embodiment, or by instructing the relevant hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and where the computer program, when executed by a processor, may implement the functions of the embodiments of the system described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
Finally, it should be noted that the computer-readable storage media (e.g., memory) herein can be either volatile memory or nonvolatile memory, or can include both volatile and nonvolatile memory. By way of example, and not limitation, nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of example, and not limitation, RAM may be available in a variety of forms such as synchronous RAM (DRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The storage devices of the disclosed aspects are intended to comprise, without being limited to, these and other suitable types of memory.
In summary, the invention provides a low-code development system based on intelligent building software, and the front-end service module 100 in the embodiment of the invention performs characteristic analysis on acquired output data based on intelligent building software, and compared with the prior art, performs dimension reduction processing on the output data, thereby realizing analysis analogy on different subsystems of the intelligent building software in a lower-layer more abstract dimension, realizing cross-layer understanding on different subsystems, and realizing low-code development and low-cost application of the intelligent building software.
It should be noted that, for simplicity of description, the foregoing embodiments are all illustrated as a series of acts, but it should be understood by those skilled in the art that the present invention is not limited by the order of acts, as some steps may be performed in other order or concurrently in accordance with the present invention. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all preferred embodiments, and that the acts and modules referred to are not necessarily required for the present invention.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, such as the above-described division of units, merely a division of logic functions, and there may be additional manners of dividing in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or communication connection shown or discussed as being between each other may be an indirect coupling or communication connection between devices or elements via some interfaces, which may be in the form of telecommunications or otherwise.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention. It will be apparent that the described embodiments are merely some, but not all, embodiments of the invention. Based on these embodiments, all other embodiments that may be obtained by one of ordinary skill in the art without inventive effort are within the scope of the invention. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art may still combine, add or delete features of the embodiments of the present invention or make other adjustments according to circumstances without any conflict, so as to obtain different technical solutions without substantially departing from the spirit of the present invention, which also falls within the scope of the present invention.
Claims (4)
1. The low-code development system based on the intelligent building software is characterized by comprising a front-end service module, a low-code cloud platform, a rear-end management module and a visualization module, wherein the low-code cloud platform is respectively in communication connection with the front-end service module, the rear-end management module and the visualization module:
The front-end service module responds to the low-code development instruction, establishes communication connection with at least one group of intelligent building software based on the low-code development instruction, acquires output data of the at least one group of intelligent building software, performs characteristic analysis on the output data to obtain a data analysis result, and sends the encrypted data analysis result to the low-code cloud platform;
the low-code cloud platform is used for analyzing the data analysis result, calling a front end terminal framework stored in a preset template database based on the analyzed data analysis result, and generating a low-code development model in an automatic code generation mode;
the back-end management module is used for deploying a low-code development model based on intelligent building software, and the low-code development model carries out interface calling according to a front-end interface input by the intelligent building software to iteratively generate an application script corresponding to the intelligent building software;
the visualization module is used for providing a visual programming interface, visually presenting continuous iteration and evolution of the low-code development model and monitoring the algorithm state of the low-code development model;
The front-end service module includes:
the front-end communication unit responds to the low-code development instruction and establishes communication connection with at least one group of intelligent building software based on the low-code development instruction;
the front-end analysis unit is used for obtaining output data of at least one group of intelligent building software, and performing characteristic analysis on the output data to obtain a data analysis result;
the encryption transmission unit is used for transmitting the encrypted data analysis result to the low-code cloud platform;
the front-end analysis unit includes:
the subsystem traversing module is used for traversing the output data of at least one group of intelligent building software and identifying at least one group of subsystems corresponding to the intelligent building software and source codes associated with the subsystems based on the output data;
the source code analysis module is used for calling a base/generator plug-in a preset template database to analyze a source code grammar tree associated with the subsystem so as to obtain an analysis json file;
the feature representation module is used for loading an analysis json file, and carrying out characteristic propagation, aggregation and iteration on output data based on the characteristics of the analysis json file to obtain a data analysis result, wherein the analysis json file comprises a function name, parameter information, function annotation, a function return value type and a function call relation in a source code grammar tree function type;
The characteristic propagation, aggregation and iteration are carried out on the output data based on the characteristic of the analysis json file, so that a data analysis result is obtained, and the steps are as follows:
acquiring an analysis json file, and representing information in the analysis json file as a triplet matrix setThe triplet matrix set comprises a function, an attribute and an attribute value set for analyzing the json file;
propagating the triplet matrix set based on the gradient descent algorithm, optimizing vector representation of the triplet matrix set and the characteristics, and obtaining propagation potential energy of the triplet matrix set；
Wherein the potential energy is propagatedCalculated by formula (1);
（1）
wherein,propagation function representing a set of triplets matrix, +.>Vector representing triplet matrix set function correspondence, +.>Representing vectors corresponding to the relation of the triplet matrix set, and +.>Representing the vector corresponding to the attribute value, and propagating potential energy +.>Expressed by a binary norm ++>The expression formula (2) of (2) is:
（2）
where k is expressed as the number of resolved json file attributes,for the propagation coefficient of the propagation function +.>Coupling coefficients that are propagation functions;
acquiring propagation potential energy of triplet matrix setPropagation potential energy of triplet matrix set based on aggregation function>Performing aggregation treatment to obtain matrix aggregation value +. >；
Wherein the matrix aggregate valueExpressed by formula (3):
（3）
wherein W represents a weight matrix,representing the aggregate gradient of the triplet matrix set at a weight of W, k is represented as the number of resolved json file attributes, and m [ i, j ]]Propagation potential for input triplet matrix set>Is a matrix of information of (a);
performing characteristic iteration on the output data based on the iteration function, and updating to obtain a data analysis result;
the low-code cloud platform specifically comprises:
an index database for importing NLP-based labeling, registration, logical code generation capabilities, and storing a front end base framework and Python-supporting data types and data structures associated with the front end base framework;
a model construction unit that generates a low-code development model based on a manner of automatic code generation;
the application authorization module is used for loading an application script, verifying the application authority of the intelligent building software subsystem, ignoring the application script if the intelligent building software subsystem is verified to have no authority, and sending the application script to the back-end management module if the intelligent building software subsystem is verified to have the authority;
the method for generating the low-code development model based on the automatic code generation mode specifically comprises the following steps:
Acquiring a data analysis result and a front end base frame corresponding to the data analysis result, loading the front end base frame, and configuring a low coding module and a local feature mining module for the front end base frame;
the low coding module codes the data analysis result sequence to obtain a token low coding sequence;
loading a token low coding sequence, and obtaining initialized subjects characteristics and objects characteristics by utilizing a local characteristic mining module;
configuring at least one group of independently arranged full-connection splicing modules for the front end framework, and splicing initialized subjects features and objects features by the full-connection splicing modules to obtain full-connection features;
loading full connection features, and mining full connection feature relation and low-code global association based on a transducer model;
and performing N rounds of iterative operation on the full connection feature, the full connection feature relation and the low code global association by using residual connection to obtain a low code development model with final training.
2. The intelligent building software-based low-code development system of claim 1, wherein: the method for transmitting the encrypted data analysis result to the low-code cloud platform by the encryption transmission unit specifically comprises the following steps:
The encryption transmission unit acquires a data analysis result, and the encryption transmission unit identifies identity information of an intelligent building software subsystem associated with the data analysis result;
generating a public key and a secret key based on identity information of the intelligent building software subsystem, and sending the public key and the secret key to the low-code cloud platform;
the encryption transmission unit is used for sectionally processing the data analysis result, sectionally dividing the data analysis result into a plurality of groups of data sections, characteristic sections, attribute sections and identity sections, and integrating the data sections, the characteristic sections and the attribute sectionsAnd identity segments to obtain an integrated segment set。
3. The intelligent building software-based low-code development system of claim 2, wherein: the method for transmitting the encrypted data analysis result to the low-code cloud platform by the encryption transmission unit specifically further comprises the following steps:
for integration segment collectionThe file section generates a corresponding random encryption number +.>Integration segment set->And random encryption number->Polymerizing to obtain polymerized encrypted segment->；
Acquiring aggregated encrypted segmentsAccumulating the aggregated encrypted segments to obtain accumulated encrypted segments +.>；
Calculating a tag value of the accumulated encrypted piece based on the hash encryption function, wherein the tag value of the accumulated encrypted piece is calculated by formula (4) ；
（4）
Wherein,for identity information key->Is an identity information public key, and +.>Is a hash encryption function;
（5）
wherein,encryption coefficient for hash->Representing the transformation curvature of the hash encryption function, whereas +.>Representing the minimum encryption error of the hash encryption function.
4. The intelligent building software-based low-code development system according to claim 3, wherein: the back-end management module comprises:
the model deployment unit is used for deploying a low-code development model based on intelligent building software;
and the interface calling unit is used for acquiring a low-code development model, and the low-code development model carries out interface calling according to the front-end interface input by the intelligent building software and iteratively generates an application script corresponding to the intelligent building software.
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