106results about How to "Fast integration" patented technology

The invention discloses an industry report generation optimization method and system based on reinforcement learning and a knowledge graph, and relates to the technical field of industry report generation, and the method comprises the following steps: firstly, collecting industry data from multiple sources, preprocessing the industry data, determining the collection frequency according to the type and importance, then constructing the knowledge graph, and recognizing entities by using a plurality of technologies. Designing a reinforcement learning model, defining space and reward functions such as states and actions, training according to a specific algorithm, analyzing and generating a preliminary report according to user requirements by means of the model and graph selection data, combining an optimization algorithm with a language model and a graph to improve the report, and finally evaluating, feeding back and adjusting a parameter strategy to improve system performance. The method can improve the industry report generation efficiency, optimize the report quality, enhance the depth and accuracy, adapt to different requirements, can be self-promoted, and effectively assists the decision and development of each industry.

The invention discloses an ecological environment commanding and dispatching system and method based on audio and video fusion, and relates to the technical field of ecological environment dispatching. The commanding and dispatching platform is in communication connection with a data acquisition module, a data preprocessing module, an event detection and identification module, a severity evaluation module, a commanding and dispatching module and a resource management module, and all the modules are in electric signal connection; the data acquisition module is used for collecting real-time audio and video data from various sensors and monitoring equipment which are deployed in advance. According to the invention, through real-time monitoring and automatic detection technologies, abnormal events are identified at the first time, and an early warning mechanism is started immediately, so that compared with traditional manual inspection, the time for finding the abnormal events can be shortened, in addition, the automation characteristic of the system reduces delay caused by human factors, and the system is more convenient to use. Therefore, resources and personnel can be quickly mobilized in emergency, and the influence of events can be effectively controlled and relieved.

The invention provides a large model service system and method, computer equipment and a readable storage medium. A cue word engineering module configures a cue word template; generating a target text according to the prompt word selected by the user; the retrieval enhancement generation module receives a basic text uploaded by a user, converts the basic text into word vectors, stores the word vectors in a database, and retrieves prompt words from the database according to question information input by the user to generate a target text; the plug-in development module receives the configuration file, analyzes the configuration file to obtain API interface information, calls extended data to retrieve cue words, and generates a target text based on the cue words; and the agent module defines the execution combination and sequence of the cue word engineering module, the retrieval enhancement generation module and the plug-in development module according to the user-defined operation of the user on the system execution chain. By adopting the method, the flexibility of large model service, the efficiency of model retrieval and the safety of model service are improved, diversified business scene requirements are further met, and the user experience is improved.

The invention relates to a mine smoke intelligent early warning device, early warning system and early warning method. The device is characterized in that an aerosol measuring light chamber, a particle high-efficiency filter, a trace gas monitoring chamber and a piezoelectric micropump are sequentially mounted in an inner cavity of an outer shell from front to back; a 650nm laser source, a first detection assembly, a 450nm laser source, a second detection assembly, a 850nm laser source, a third detection assembly and a temperature sensor are respectively arranged in the aerosol measurement light chamber; a piezoelectric quartz crystal detection matrix, a quartz wafer oscillation module and a high-precision frequency measurement module are arranged in the trace gas monitoring chamber; according to the system, a central server is respectively connected with a visual client and a plurality of mining smoke intelligent alarm devices; the method comprises the following steps: monitoring a plurality of monitoring areas by using a plurality of mining smoke intelligent alarm devices; and the central server processes the monitoring data and outputs a monitoring result. The device, the system and the method can accurately monitor smoke in a working place in real time.

The invention discloses a fault prediction method and device for an intelligent operation and maintenance system, and relates to the technical field of fault prediction. The method comprises the following steps: receiving a prediction request sent by a user side, and determining first equipment according to the prediction request; determining preset first monitoring data according to a first model corresponding to the first equipment; judging whether the first monitoring data is consistent with preset first monitoring data or not; when the first monitoring data is inconsistent with preset first monitoring data, determining that the first equipment has a first fault; obtaining a target association degree between the first device and the second device; judging whether the target association degree is greater than or equal to a preset association degree; and if the target association degree is greater than or equal to the preset association degree, determining that the first equipment and the second equipment have fault states, and sending the fault states to the user side, so that a user corresponding to the user side checks the fault states. By implementing the technical scheme provided by the invention, the operation and maintenance personnel have enough time to repair, and unnecessary loss caused by fault expansion is avoided.

The invention discloses an electric bicycle wireless charging station data real-time storage and rapid retrieval system and method, and relates to the technical field of data processing, the system comprises a vehicle-mounted charger module, the vehicle-mounted charger module comprises a vehicle-mounted charger, the vehicle-mounted charger is directly connected with an electric bicycle battery, and the electric bicycle battery is connected with the vehicle-mounted charger module; the charging module is responsible for charging a battery of the electric bicycle and collecting charging state data of the battery; a ground wireless charging unit, wherein the ground wireless charging unit is in wireless communication connection with a vehicle-mounted charger in the vehicle-mounted charger module through LoRa; by combining real-time cache of Redis and persistent storage of SQLite, the system not only ensures high concurrent processing performance, but also ensures reliability and integrity of data, provides an API interface following a REST architecture style, supports flexible query of real-time data and historical data, is convenient for quick retrieval and integration of other monitoring, analysis and control systems, and has a wide application prospect. Redis is used for real-time data caching.

The invention relates to a satellite network simulation verification method and system based on digital twinning, and the method comprises the steps: constructing an application service model according to the application demands of a to-be-verified satellite network; constructing a satellite network digital twinborn model based on the acquired physical satellite network data and data dynamic change; constructing a technical system digital model according to the technical system verification requirement of the satellite network; and starting a simulation service, and driving the application service model to perform simulation verification, so that the satellite network digital twin model presents a visual simulation result after being combined with the technical system digital model. By constructing the digital twin model of the satellite network, efficient and accurate simulation verification is realized, and powerful support is provided for design, optimization and deployment of the satellite network.

The invention relates to a heat supply prediction method and system based on spatial-temporal feature fusion deep learning, and the method comprises the following steps: S1, carrying out the collection and fusion of multi-source heterogeneous data, and constructing an integrated data set; s2, preprocessing the data; s3, constructing a graph structure model of the heat supply system, and constructing a weighted undirected graph; s4, constructing and executing forward calculation of the space-time double-flow deep network; s5, designing a composite loss function including mean square error loss and physical constraint loss, and performing joint optimization training on the space-time double-flow deep network; and S6, performing multi-step heat supply load prediction by using the trained model, outputting a heat supply load curve of each heat exchange station in a specified time period in the future, and integrating a prediction result with a heat supply scheduling system. The method has the advantages that the prediction precision is improved compared with that of a traditional machine learning model by capturing the spatial-temporal characteristics at the same time, and the advantages are more remarkable in extreme weather.

The invention relates to the field of intelligent monitoring, and discloses a machine room wild animal intelligent defense system based on a millimeter wave radar, which comprises a signal capture module, a signal processing module, a feature extraction module, a classification tracking module and an alarm linkage module, the signal capturing module collects target reflection signals through a millimeter wave radar, the signal processing module carries out multi-target separation and interference suppression on the signals, the feature extraction module extracts time-frequency characteristics and motion track characteristics of targets, and the classification tracking module classifies the targets and tracks the motion states of the targets in real time. And the alarm linkage module evaluates the threat level according to the classification result and triggers corresponding defense measures. The system can accurately identify and track targets, timely respond and execute defense actions, has the advantages of high precision, multi-target monitoring, real-time dynamic tracking, intelligent defense and the like, and can effectively guarantee safe operation of machine room equipment.

The invention discloses an ANS-based aquaculture dynamic water quality monitoring method and system. The method comprises the following steps: data acquisition: firstly, carrying out standardization processing on acquired water quality data; model construction: an ANS water quality prediction model is constructed, an ANN network architecture is adopted, an LSTM layer is added in an ANN network to be connected between an input layer and a hidden layer, and the added LSTM hidden layer is used for extracting water quality time sequence correlation features; model training; and water quality prediction: inputting water quality data collected in real time into the trained ANS water quality prediction model, and performing water quality prediction to obtain predicted values of various water quality indexes in a future set time period. And related water quality parameters are predicted through the ANS water quality prediction model, so that the accuracy of water quality prediction is improved. In addition, the dynamic monitoring equipment polls that the fish can realize autonomous cruise in the culture lake, images and water quality information are transmitted to the intelligent terminal in real time, and accurate water quality parameters of the culture lake are provided in real time.

The invention discloses a device and a method for adaptively adapting a cloud platform to a domestic AI accelerator card, belongs to the technical field of cloud computing and artificial intelligence, and aims to solve the technical problems of how to realize rapid integration and deployment of the domestic AI accelerator card by the cloud platform, improve the flexibility and expandability of the cloud platform and further better meet diversified AI computing requirements. According to the technical scheme, the device comprises a script tool set, a resource management module, an adaptation task management module, a data storage module and an adaptation analysis module; wherein the script tool set integrates a CPU and a script tool for identifying, sensing, driving and monitoring physical machine accessories of a domestic AI acceleration card, and is used for automatically realizing hardware identification, driving installation and hardware state monitoring functions according to the characteristics of hardware; and the resource management module is used for realizing platform access of the AI server and management of the domestic AI acceleration card, and monitoring states and loads of the nodes and the AI acceleration card in real time.

The invention relates to a custom Mock platform and a network request simulation processing method based on the custom Mock platform, and the platform comprises a Mock rule management unit which obtains a configuration field of a Mock rule based on an interactive configuration interface; the extraction rule configuration unit is used for obtaining configuration fields of extraction rules based on the interactive configuration interface, extracted parameters are stored in a variable pool, and the parameters in the variable pool are used for being converted into dynamic variables; the custom variable unit is used for customizing a constant based on the interactive configuration interface and / or dynamically generating a custom variable by utilizing a custom function provided by the Mock platform; the user-defined function unit is used for receiving and approving the uploaded user-defined function and adding the user-defined function into a function library of the Mock platform; and the Mock response unit is used for editing based on the interactive configuration interface or generating dynamic response header information based on a self-defined function, and generating a response message based on a preset template. According to the invention, a complex business scene can be accurately simulated and responded in real time, so that the authenticity and effectiveness of the test are greatly improved.

The invention discloses an agricultural knowledge graph data expansion and correction method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining a to-be-expanded category, extracting category words, and obtaining a new data set which comprises text data; obtaining a word frequency index corresponding to each category word, and obtaining a word frequency sequence; obtaining a decline degree index, and judging whether a decline degree index greater than a first threshold exists or not; if the decline degree index greater than the first threshold value does not exist, sequentially adding the newly-added data set into a plurality of different to-be-expanded categories, and correcting the position of the newly-added data set; if the decline degree index greater than the first threshold exists, taking adjacent word frequency indexes corresponding to the decline degree index as two word frequency indexes to be processed; and judging whether the to-be-processed word frequency index is smaller than a second threshold value or not, and obtaining an expansion strategy according to a judgment result. The method has the advantages of sequential transmission, high transmission efficiency, good stability and dynamic correction and adjustment.

The method is a quantitative sedimentary basin feature source analysis method based on detrital zircon U-Pb age data, results of quantitative analysis and cumulative age curve analysis of a multi-dimensional calibration method (MDS) are fully utilized, differences among different samples are compared more accurately, and the method has remarkable advantages in quantitative treatment of a large number of samples. The method comprises the following specific steps: (1) collecting and integrating U-Pb age data of chipping zircon from different studies, and preprocessing the U-Pb age data; (2) performing statistical analysis and visualization processing in various forms on the U-Pb age data of the chipping zircon; (3) analyzing the contribution rate of each zircon age to sample age interpretation, and quantitatively evaluating the importance of different zircon ages in material source analysis; (4) quantitatively comparing the similarities among the samples by adopting a multi-dimensional calibration method; and (5) analyzing the difference of different source-sink system construction backgrounds in the sedimentary basin by drawing a chipping zircon cumulative age curve and the difference distribution between the zircon crystallization age and the deposition age in the sediment, and further explaining the dynamic mechanism of the construction unit and the source-sink system on the periphery of the construction unit.

The embodiment of the invention discloses an adaptive caching method and device, a storage medium and a program product. The method comprises the steps of determining a target cache type and a target storage space based on a service scene; loading a target cache library to target equipment based on the target cache type; constructing a uniform interface, wherein the uniform interface packages a plurality of cache functions; in response to calling of the uniform interface by an application layer, determining a target cache function from a plurality of cache functions; and by calling the target cache library, executing the target cache function on the target storage space. According to the method, a uniform interface and dynamic loading of the target cache library can be provided, so that a proper cache mode can be selected and flexibly switched according to business requirements, the code complexity is reduced, the workload of developers is reduced, and the coupling degree between business codes and cache implementation is reduced, and therefore, the flexibility and the maintainability of a system are improved.

In order to solve the problems of redundant distribution of thermal control system units and conduits, large system mass and occupied space, the present invention provides a lightweight integrated component for thermal control of spacecraft, including a compensator, an inlet pipe, a main pump, a backup pump, a mounting base plate, an automatic control valve, an inlet pressure sensor, an outlet pressure sensor, a welding conduit and a filter element, etc. The blower is integrated in the interface connecting the inlet pipe and the compensator, and the inlet pipe is provided with a filling and exhaust valve interface and a component inlet; the inlet pipe is connected to the compensator through the interface integrated with the blower, connected to the inlet of the main pump, and connected to the inlet of the backup pump through a welding conduit, and connected to the inlet pressure sensor through a welding conduit; the automatic control valve is respectively connected to the outlet of the main pump and the outlet of the backup pump, and is connected to the outlet pressure sensor through a welding conduit, and the component outlet is provided on the automatic control valve; the external pipeline is respectively connected to the component inlet and the component outlet to form a fluid circuit, and the fluid circuit is filled with working fluid through the filling and exhaust valve interface.

The present application relates to a gas tracing method, in particular to a kind of environmental identification and tracing method, system and medium based on multi-modal cooperation, method includes: collection contains gas plume visual image and contains gas response signal olfactory signal;Visual image is preprocessed and visual feature is extracted, and visual depth feature vector is obtained;Olfactory signal is preprocessed and olfactory feature is extracted, and olfactory feature vector is obtained;Cross-modal fusion obtains fusion feature vector;Physical constraint loss function is constructed, and physical consistency correction is carried out, and modified fusion feature vector is obtained;Output gas concentration space-time distribution result.Compared with prior art, the present application solves the problem that prior art cannot realize high-precision online monitoring and tracing of multi-component gas.The scheme improves the identification accuracy of gas component, the multi-component distinguishing ability and real-time response performance in complex environment through the integration of visual monitoring and olfactory monitoring, combined with multi-modal fusion algorithm and physical consistency correction.

The invention belongs to the technical field of internet big data, and particularly relates to a method for screening same-name and same-party drug control drugs, which comprises the following steps: S1, acquiring basic information of listed drugs, performing data processing and standardization processing, and storing the basic information into a database A; s2, acquiring and processing admission-related data of drugs, and storing the data into a database B; s3, taking medicine names as keywords, and respectively matching basic data and access related data of each medicine from the database A and the database B; establishing a medicine entry of each medicine in the database C, and integrating the matched basic information of the medicine and the admission related data into the corresponding medicine entry; s4, according to research and development requirements of the same-name and same-prescription medicines, establishing screening conditions of the same-name and same-prescription control medicines; screening the data in the database C according to the screening conditions to obtain the same-name and same-prescription control drug data meeting the use requirements; the method can be used for rapidly and accurately screening out the same-name and same-prescription control drugs meeting various conditions.

The invention discloses a method, a system and equipment for troubleshooting a communication terminal of an all-moving simulator, and belongs to the technical field of aviation simulation equipment fault diagnosis. The method comprises the following steps: acquiring data of a communication terminal operation state, an input / output system state and a central control console environment state, synchronizing time, and constructing a time sequence feature vector through denoising normalization processing; inputting a Kalman filtering state space model to calculate an observation residual error, and distinguishing a fault source and interference characteristics; identifying a fault type by using an integrated decision tree classification model, positioning a target fault point in combination with a fault tree and a Bayesian network, and matching historical cases to generate a troubleshooting scheme; after troubleshooting is completed, the fault case library is updated, and the model is optimized. According to the scheme, intelligent and standardized troubleshooting of faults is achieved, the problems that a traditional method is low in efficiency and poor in accuracy, and fault sources are difficult to distinguish are solved, the troubleshooting efficiency and accuracy are greatly improved, the operation and maintenance cost is reduced, and stable operation of the full-motion simulator is guaranteed.

The invention discloses a cross-platform embedded web operation system, which relates to the technical field of application and development of coal mine equipment systems and comprises an equipment search module, an equipment synchronization and resource sharing module and a real-time monitoring and scheduling module. The equipment search module is used for acquiring equipment basic information by using a UDP protocol; the equipment synchronization and resource sharing module is used for establishing a central resource management system according to the equipment basic information; and the real-time monitoring and scheduling module is used for monitoring according to the central resource management system to obtain an embedded web operation result. According to the invention, the application efficiency and precision of sensor equipment in industrial production are improved, the complexity of equipment management and control is greatly simplified, and important support is provided for industrial automation and intelligent processes.

The application discloses a single crystal silicon wafer processing clamp, and relates to the technical field of single crystal silicon processing, which comprises a mounting ring, a driving gear ring, a primary clamp assembly, a guide, a secondary clamp assembly and a driving unit. The mounting ring serves as a bearing base, the top of the mounting ring is provided with the driving gear ring, the inner ring is provided with the primary clamp assembly, the outer wall is fixedly connected with the guide, the guide is internally provided with the secondary clamp assembly, and the driving unit is internally provided with a built-in driving unit which is connected with the two-stage clamp through the mounting ring. For different thicknesses of silicon wafers, thin silicon wafers are clamped by the silicon wafer clamping plate through the driving motor one and the driving gear ring and the inclined push head; thick silicon wafers are clamped by the silicon wafer clamping arm after being centered by the driving motor two and the driving ring and the centering arm, and are clamped by the silicon wafer clamping arm. The clamp integrates the grading clamping and the precise guide structure, has the protection design, is high in adaptability, accurate in clamping, can avoid damage to the silicon wafer, is suitable for automatic processing, and improves the processing efficiency and the qualified rate.

The utility model relates to the technical field of aerators, in particular to an adjustable submersible aerator. The aeration machine comprises an aeration machine main body device, a mounting bracket, an outer cover, fan blades, an air inlet hose and a lifting driving mechanism, the aerator main body device comprises a mounting seat, a cylinder, a vertical rotating shaft, a rotating shell, an air inlet pipe, a submersible motor and a stirring mechanism, fan blades are mounted at the bottom end of the vertical rotating shaft, an air inlet hose is communicated with the interior of the cylinder, and the outer end of the air inlet hose is connected with a floating ball; the outer cover is fixedly connected with the cylinder; the stirring mechanism comprises a transmission assembly and a plurality of groups of stirring assemblies; each stirring assembly comprises a rotating pipe and a plurality of stirring plates; the lifting driving mechanism is mounted at the upper end of the mounting bracket for driving the mounting seat to lift. According to the technical scheme, the transmission assembly can convert horizontal rotation of the vertical rotating shaft into rotation of the rotating pipe, so that the rotating pipe can rotate in the horizontal rotation process, and the aeration range is widened.

The utility model provides a kind of integrated low-voltage wiring harness modular wiring device, belong to low-voltage wiring harness technical field, comprising: two groups of longitudinally arranged shell;Wiring assembly and isolation mechanism are set to the close side of two groups of shell each other;Wiring assembly contains several transversely fixed in the shell inside baffle, and wiring groove is formed by adjacent baffle;Isolation mechanism contains several through holes being opened in shell, plug rod is inserted in through hole movably, and baffle is fixedly connected with the end of plug rod;Magic tape is provided on the both sides of shell.The utility model realizes the quick integration and expansion of low-voltage wiring harness by modular design shell, clamping component, magic tape;Wiring groove and baffle classify isolation wiring harness, avoid cross connection;Isolation mechanism fixes wiring harness and keeps neat;Safety and reliability are improved by insulating coating and anti-misplacement structure.

The utility model provides a protective cover and an industrial camera with the protective cover. The protective cover comprises a bottom shell, an upper cover, a control circuit board, a connector, the protective cover and a driving mechanism. The bottom shell comprises a bottom plate and side plates connected with the bottom plate, and the bottom plate and the side plates define a containing space with an opening in the top. The upper cover is detachably connected with the bottom shell and used for sealing the top opening. The control circuit board is located in the containing space. The connector is arranged outside the bottom plate, one end penetrates through the bottom plate to be electrically connected with the control circuit board, and the other end is used for being electrically connected with a power supply circuit in a plug-in mode. The protective cover and the bottom shell are rotationally connected, and optionally, the protective cover and the bottom shell are rotationally connected through a first rotating shaft. In the closed state, the protective cover is located on the outer side of the side plate, and the lower edge of the protective cover is located below the bottom plate and exceeds the outer wall of the bottom plate by a preset distance. The driving mechanism is partially located in the containing space, electrically connected with the control circuit board and used for driving the protective cover to rotate under the control of the control circuit board. The protective cover can be suitable for various types of products to be protected.

The application provides a loom cloth defect detection method and device, and relates to the field of textiles, which comprises the following steps: acquiring the image of a cloth without defects by using a completely cleaned image acquisition module to obtain a reference image; during loom production, continuously acquiring the image of a cloth to be detected, comparing the current frame of the cloth image to be detected with the reference image to determine the difference area; from the current frame of the difference image to the previous N-1 frames of the difference image, calculating the displacement vector according to the center coordinates of the matched difference area in two continuous frames of the difference image, forming a motion vector sequence, extracting the average displacement feature, the direction consistency feature, the motion stability feature and the trajectory feature of the motion vector sequence, judging whether it is a real defect or a false defect according to the extracted features; if the current frame of the cloth image to be detected has a difference area that is judged to be a false defect, updating the reference image by using the current frame of the cloth image to be detected. The application can avoid misjudgment and improve the accuracy of defect detection.

The invention relates to a heterogeneous graph neural network acceleration method and system based on a meta-path graph. The method comprises the following steps: constructing all meta-path instances into the meta-path graph in a graph form according to a given heterogeneous graph and a given type of meta-path; performing graph division on the meta-path graph to obtain a plurality of meta-path sub-graphs; carrying out workload division on the meta-path sub-graph; and according to the division of the workload, carrying out layer-based meta-path instance coding, combining the codes of all meta-path instance slices according to the interlayer relationship of the meta-path diagram to obtain the codes of meta-path instances, and carrying out internal aggregation of the meta-path instances and aggregation calculation between the meta-path instances to obtain the final feature of the target vertex. According to the method, redundant calculation in the heterogeneous graph neural network is greatly reduced, and then the model reasoning efficiency is improved.

The embodiment of the invention provides a live broadcast room processing method, and the method comprises the steps: responding to entering a target live broadcast room, and displaying a target control; and in response to the selected target control, presenting the previous situation abstract content of the target live broadcast room. According to the embodiment of the invention, the previous situation abstract content of the target live broadcast room can be quickly displayed and presented through a quick interaction mode of the target control, and the man-machine interaction efficiency and experience of obtaining the previous situation abstract content are improved. Therefore, the audience newly entering the live broadcast room can quickly understand the current live broadcast content and can quickly integrate the current live broadcast content into the live broadcast atmosphere.

The invention relates to an artificial intelligence technology, and designs a photo frame realization method supporting sound change and face change, which comprises the following steps: obtaining a target person photo and a base person photo, and replacing a face part in the base person photo with a face part in the target person photo to obtain a to-be-processed photo; obtaining a target text, and generating a lip movement character video according to the target text and the to-be-processed photo; obtaining a target record, and generating a voice segment of the target text according to the target record and the target text; and according to the voice segment and the lip movement character video, generating a voice and lip synchronization character video, and displaying the voice and lip synchronization character video in a preset intelligent photo frame. The invention further provides a photo frame implementation device supporting sound changing and face changing, electronic equipment and a medium. According to the invention, the dynamic change of the photo can be realized and the static tediousness of the photo is solved; in addition, the method can achieve sound volume simulation of relatives and friends of the departed and simulates dialogue communication, and therefore the method can serve as a mental recuperating method.

This invention relates to the field of system interface technology, specifically to a non-intrusive interface software system interface implementation method, comprising the following steps: S1: Implementing non-intrusive API middleware by defining a middleware constructor or adding injection points to the interface methods of an object. This invention achieves data interaction through non-intrusive API middleware, protecting the stability and integrity of existing software. It avoids directly modifying the source code of existing software, thereby protecting its stability and integrity, reducing the risks that may be introduced by directly modifying the source code, preventing the introduction of new errors or damage to existing functions. Furthermore, using non-intrusive API middleware allows for faster integration and extension of existing software, accelerating development and deployment, reducing the complexity of integration and extension. Simultaneously, by introducing a middleware layer, existing software and external systems can evolve independently without affecting each other, achieving better usability.