Visual management system for automobile training room

Abstract

The invention relates to the technical field of vehicle simulation training systems, and provides an automobile training room visual management system which is composed of a server side, an equipment side, a background control side and a user mobile terminal. The system integrates a plurality of functional modules such as data integration, cache distribution, processing partition, system monitoring, fault prediction and user interface interaction, and aims to solve the problems of large data volume and complex format of equipment in a practical training room. In the peak period of data processing, the system can reduce the burden of the server through a distribution strategy, multiple data processing partitions are established at the same time to achieve efficient parallel processing, the system monitoring unit is responsible for finding and processing abnormal conditions in time, and the fault prediction function can give an early warning for potential problems in advance. In addition, the user interface interaction unit provides visual and convenient information display and operation experience for the user. In general, the management efficiency and the system stability of the automobile training room are remarkably improved.

Description

Technical Field

[0001] The invention relates to the technical field of vehicle simulation training systems, and in particular to a visual management system for an automobile training room. Background Art

[0002] With the development of science and technology, visualization management technology has gradually become an important tool in modern industry and education. In the management of automobile training rooms, the application of visualization technology is becoming more and more extensive. The traditional training room management method has gradually been replaced by intelligent management systems. Visual management systems integrate technologies such as the Internet of Things, big data analysis and cloud computing to improve the management efficiency and safety of training rooms. At present, there are many visualization management systems for training rooms on the market to help managers better understand the operation status of training rooms.

[0003] The existing automobile training room visual management system usually installs sensors and cameras to monitor the equipment status, personnel activities and environmental parameters in the training room in real time. The data is transmitted to the central server through the wireless network. After processing and analysis, it is displayed to the manager in various forms such as charts and videos. It can also automatically issue alarms or adjust the training room environment according to preset rules, such as adjusting temperature and humidity. In addition, the automobile training room visual management system can also provide remote access functions, allowing managers to monitor the situation of the training room anytime and anywhere, improving the flexibility and convenience of management.

[0004] Although the existing automobile training room visualization management system has a high technical level, there are still the following pain points. The automobile training room visualization management system monitors the equipment in the automobile training room. Due to the wide variety of equipment in the training room, different data formats and communication protocols, when the equipment in the automobile training room is at its peak, the huge amount of data processing affects the stability of the system's automobile training room visualization management system. Summary of the invention

[0005] In view of the shortcomings of the prior art, the present invention provides a visual management system for automobile training rooms to solve the problem that due to the wide variety of equipment in the training rooms, different data formats and communication protocols, when the equipment in the automobile training rooms is in peak usage, the huge amount of data processing affects the stability of the visual management system of the automobile training room.

[0006] In order to solve the above technical problems, the specific technical solutions of the present invention are as follows:

[0007] The present invention provides a visual management system for automobile training rooms, comprising: a server end, a device end, a background control end and a user mobile terminal, wherein the server end establishes a communication connection with the device end, the background control end and the user mobile terminal, and the server end comprises:

[0008] The data integration unit receives data from the device end, the background control end and the user's mobile terminal, pre-processes the data received from the device end, the background control end and the user's mobile terminal, and obtains the pre-processed data from the device end, the background control end and the user's mobile terminal;

[0009] The data cache diversion unit receives a preset data processing peak threshold, performs data volume statistics on the data of the device end, the background control end and the user mobile terminal obtained in real time, obtains real-time data statistical results, compares the real-time data statistical results with the preset data processing peak threshold, obtains data volume status comparison results, and the data volume status comparison results include a data processing volume stable stage and a data processing volume peak stage. When the data processing volume is at the peak stage, the data corresponding to the data processing volume at the peak stage is diverted to obtain a data diversion processing result, and according to the data diversion processing result, the data corresponding to the data processing volume at the peak stage is transmitted to the designated data processing position;

[0010] A data processing partition unit is used to establish a data processing partition, establish a partition position label corresponding to the data diversion processing result for the data processing partition, transmit data corresponding to the peak stage of data processing volume to the data processing partition corresponding to the partition position label, and the data processing partition processes the data in the partition to generate a partition data processing result;

[0011] The system monitoring unit monitors the running status of partition data processing in real time. The running status of partition data processing includes data processing speed and remaining data processing space. It issues an alarm when partition data processing is abnormal or partition data processing performance decreases.

[0012] The fault prediction unit retrieves the historical data and system operation status of the automobile training room visual management system. The fault prediction unit collects the real-time operation status of the automobile training room visual management system by analyzing the historical data and system operation status of the automobile training room visual management system. The fault prediction unit predicts the faults existing in the automobile training room visual management system.

[0013] The user interface interaction unit receives preset user interface interaction information, innovates the user interaction interface according to the preset user interaction information, classifies the received data according to the preset user interaction information, obtains real-time data classification information, compares the real-time data classification information with the original data classification information, and if there is a new data category, adds a user interaction interface corresponding to the new data category. The user interface interaction unit is used to display system information, set up the system, and query data through the interface.

[0014] Furthermore, the automobile training room visualization management system provided by the present invention, the data integration unit, comprises:

[0015] A data receiving unit receives data transmitted by a device, a background control terminal and a user's mobile terminal;

[0016] The data preprocessing unit performs cleaning and format conversion preprocessing operations on the data received from the device end, the background control end and the user's mobile terminal to obtain the preprocessed data;

[0017] The data output unit converts the preprocessed data into a data standard format to obtain converted standard format data.

[0018] Furthermore, the automobile training room visualization management system provided by the present invention, the data cache diversion unit, comprises:

[0019] A threshold setting unit receives a data processing peak threshold and loads the data processing peak threshold into a data cache diversion unit;

[0020] A data monitoring unit is used to monitor the data flow of the automobile training room visualization management system in real time and count the data volume of the automobile training room visualization management system in real time;

[0021] Data volume comparison is used to compare the real-time monitored data volume with the preset data processing peak threshold to obtain the data volume comparison result;

[0022] The diversion decision unit starts the diversion mechanism when the amount of real-time monitored data exceeds the preset data processing peak threshold.

[0023] Furthermore, the automobile training room visualization management system provided by the present invention includes a diversion decision unit, which includes:

[0024] A real-time monitoring and threshold comparison unit monitors data traffic and compares the real-time data volume with a preset data processing peak threshold;

[0025] A data processing volume state determination unit determines that the current data processing volume is in a peak state if the real-time data volume exceeds a data processing peak threshold;

[0026] The diversion mechanism unit is started. When the data processing volume reaches a peak state, the diversion decision unit generates information to transfer the data in the peak period to a designated processing location and obtains a diversion decision;

[0027] Data transmission and processing unit, based on the diversion decision, the data is transmitted to the corresponding data processing partition for parallel processing.

[0028] Furthermore, the automobile training room visualization management system provided by the present invention, the data processing partition unit, comprises:

[0029] A processing partition establishing unit establishes multiple data processing partitions on the server side to obtain data processing partitions;

[0030] A data transmission unit, transmitting the data diverted by the data cache diversion unit to the corresponding data processing partition;

[0031] The data processing unit independently processes data within the data processing partition and generates processing results for the data reprocessing partition.

[0032] Furthermore, the automobile training room visualization management system provided by the present invention, the system monitoring unit, comprises:

[0033] Real-time monitoring unit to monitor the operating status of each data processing partition;

[0034] an abnormality detection unit, which generates warning information corresponding to the running state of the data processing partition when there is an abnormal running state of the data processing partition and the running state performance of the data processing partition is degraded in the running state of each data processing partition;

[0035] The log recording unit records the operation log of the system monitoring unit.

[0036] Furthermore, the automobile training room visualization management system provided by the present invention, the fault prediction unit, comprises:

[0037] The data acquisition unit retrieves the historical data and real-time operation status information of the automobile training room visualization management system from the database;

[0038] The model building unit uses a preset fault prediction model to train the historical data and real-time operation status information of the automobile training room visualization management system to obtain a trained fault prediction model;

[0039] The fault prediction unit uses the trained fault prediction model to perform data processing and analysis on the real-time partition data to obtain the partition data fault prediction results.

[0040] Furthermore, the automobile training room visualization management system provided by the present invention, the user interface interaction unit, comprises:

[0041] An interface information receiving unit receives and processes user interface interaction information to obtain user interface requirements and configuration parameters of the user requirement interface;

[0042] The interface design unit generates a user interaction interface according to user interface requirements and configuration parameters of the user requirement interface;

[0043] The data display unit determines interface requirement information according to the user interaction interface, matches data according to the interface requirement information, and displays the matched data on the user interaction interface.

[0044] Beneficial effects of the present invention: The present invention integrates, processes and analyzes a large amount of equipment data by integrating advanced technologies such as the Internet of Things, big data analysis and cloud computing, thereby significantly improving the management efficiency of the training room. Secondly, the data cache diversion unit of the system can effectively manage the data traffic during peak periods to ensure the stability and fluency of the system. The fault prediction unit can predict and detect potential fault risks in advance, reducing system downtime and maintenance costs. The user interface interaction unit provides a personalized interactive interface, making information display and system settings more convenient and quick. In general, the present invention not only improves the management level of the training room, but also enhances the stability and security of the system, while providing users with a more friendly and efficient operating experience. These advantages make the present invention have a high technical level and wide practicability, and is particularly suitable for places that require efficient management, such as automobile training rooms. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] In order to more clearly illustrate the technical solution of the present invention, the following briefly introduces the drawings required for use in the embodiments. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0046] Figure 1 A schematic diagram of the system structure provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. The technical solutions provided by the embodiments of the present invention are described in detail below in conjunction with the drawings.

[0048] In order to better understand the purpose of the present invention, the present invention is described in further detail below.

[0049] The present invention provides a visual management system for automobile training rooms, comprising: a server end, a device end, a background control end and a user mobile terminal, wherein the server end establishes a communication connection with the device end, the background control end and the user mobile terminal, and the server end comprises:

[0050] The data integration unit receives data from the device end, the background control end and the user's mobile terminal, pre-processes the data received from the device end, the background control end and the user's mobile terminal, and obtains the pre-processed data from the device end, the background control end and the user's mobile terminal;

[0051] The data integration unit first receives data transmitted from the device end, the background control end, and the user's mobile terminal through the receiving data unit. The preprocessing data unit cleans and converts the received data. Through preprocessing, the system can eliminate errors or invalid data and unify data in different formats into a standard format for subsequent processing.

[0052] The data output unit converts the pre-processed data into a standard format to ensure data consistency and readability, making subsequent data processing and analysis more efficient and accurate.

[0053] The data cache diversion unit receives a preset data processing peak threshold, performs data volume statistics on the data of the device end, the background control end and the user mobile terminal obtained in real time, obtains real-time data statistical results, compares the real-time data statistical results with the preset data processing peak threshold, obtains data volume status comparison results, and the data volume status comparison results include a data processing volume stable stage and a data processing volume peak stage. When the data processing volume is at the peak stage, the data corresponding to the data processing volume at the peak stage is diverted to obtain a data diversion processing result, and according to the data diversion processing result, the data corresponding to the data processing volume at the peak stage is transmitted to the designated data processing position;

[0054] The data cache diversion unit receives a preset data processing peak threshold, which is a standard for determining whether the data processing volume has reached a peak.

[0055] The data monitoring unit will monitor the data flow of the system in real time and count the real-time data volume in order to promptly discover changes in the data processing volume and make corresponding processing.

[0056] The amount of data monitored in real time will be compared with the preset data processing peak threshold. If the real-time data volume exceeds this threshold, it means that the data processing volume has entered the peak stage.

[0057] When the data volume comparison results show that the current data processing volume is at its peak, the diversion decision unit will activate the diversion mechanism, and the system will transfer part of the data to the designated processing location to reduce the burden on the main system.

[0058] Specifically, the diversion decision unit generates information to transfer data during peak hours to a specified processing location, i.e., a diversion decision. Then, based on this decision, the data is transferred to the corresponding data processing partition for parallel processing.

[0059] A data processing partition unit is used to establish a data processing partition, establish a partition position label corresponding to the data diversion processing result for the data processing partition, transmit data corresponding to the peak stage of data processing volume to the data processing partition corresponding to the partition position label, and the data processing partition processes the data in the partition to generate a partition data processing result;

[0060] The data processing partition unit will first establish multiple data processing partitions on the server side. Each partition has independent processing capabilities and resources, providing a basis for parallel data processing.

[0061] When the data cache diversion unit detects that the data processing volume has reached a peak, the diversion mechanism is activated, and the diverted data will be transmitted to the data transmission unit. According to the partition location label in the data diversion processing result, this part of the data will be transmitted to the corresponding data processing partition. After receiving the data, each data processing partition will use its own resources and algorithms to perform independent data processing. After processing, each partition will generate and save its own data processing results.

[0062] The system monitoring unit monitors the running status of partition data processing in real time. The running status of partition data processing includes data processing speed and remaining data processing space. It issues an alarm when partition data processing is abnormal or partition data processing performance decreases.

[0063] The real-time monitoring unit continuously monitors the operating status of each data processing partition, focusing on key indicators such as data processing speed and remaining data processing space. Through regular queries or event trigger mechanisms, the real-time monitoring unit can collect real-time operating status data of each partition.

[0064] The anomaly detection unit receives the data collected by the real-time monitoring unit and performs intelligent analysis. When it detects an abnormality in the operation status of the data processing partition, such as a sharp drop in data processing speed or insufficient remaining data processing space, or a decrease in processing performance, such as a longer response time, the anomaly detection unit will immediately generate corresponding warning information.

[0065] When the anomaly detection unit determines that an abnormal situation exists, it will issue an alarm, such as displaying a warning message on the system interface, sending an email or text message, to promptly notify the administrator.

[0066] In addition, the log recording unit will record the operation log of the system monitoring unit, including the detailed process of system monitoring, detected abnormal events and processing status. The log provides important historical data for system fault diagnosis and performance optimization.

[0067] The fault prediction unit retrieves the historical data and system operation status of the automobile training room visual management system. The fault prediction unit collects the real-time operation status of the automobile training room visual management system by analyzing the historical data and system operation status of the automobile training room visual management system. The fault prediction unit predicts the faults existing in the automobile training room visual management system.

[0068] The data collection unit retrieves the historical data and real-time operation status information of the automobile training room visualization management system from the database. These data provide the basis for subsequent fault prediction.

[0069] The model building unit uses the pre-set fault prediction model to train the collected historical data and real-time operating status information. This process aims to optimize and adjust the model to improve the accuracy of fault prediction.

[0070] After the model training is completed, the fault prediction unit uses the trained model to process and analyze the system operation status data collected in real time. This is the actual fault prediction link. The model will predict possible faults based on the current system operation status data.

[0071] Finally, the fault prediction unit outputs the partition data fault prediction results obtained through analysis. The partition data fault prediction results include information such as potential fault types, probability of fault occurrence, and expected time of fault occurrence, providing important decision support for system maintenance and management personnel.

[0072] The user interface interaction unit receives preset user interface interaction information, innovates the user interaction interface according to the preset user interaction information, classifies the received data according to the preset user interaction information, obtains real-time data classification information, compares the real-time data classification information with the original data classification information, and if there is a new data category, adds a user interaction interface corresponding to the new data category. The user interface interaction unit is used to display system information, set up the system, and query data through the interface.

[0073] The user interface interaction unit receives and processes preset user interface interaction information, which reflects the user's preferences, operating habits and layout requirements.

[0074] According to the preset user interaction information, the received data is classified and processed to obtain real-time data classification information. The real-time data classification information is compared with the original data classification information in the system to timely discover and process the newly added data categories.

[0075] If a new data category is found, the user interface interaction unit will dynamically generate a user interaction interface corresponding to the data category, which may be by adjusting the existing interface layout, adding new data display components or creating a completely new interface view.

[0076] The generated interactive interface can display the real-time information, status and alarms of the system, allowing managers to intuitively understand the system operation status. At the same time, it also provides an interface entry for system configuration, allowing users to adjust system parameters and configuration rules as needed.

[0077] The user interface interaction unit also allows users to input query conditions through the interface, retrieve and query the data stored in the system, and present the query results in various forms such as tables and charts to facilitate user understanding and analysis.

[0078] Specifically, the automobile training room visualization management system provided by the present invention, the data integration unit, includes:

[0079] A data receiving unit receives data transmitted by a device, a background control terminal and a user's mobile terminal;

[0080] The data preprocessing unit performs cleaning and format conversion preprocessing operations on the data received from the device end, the background control end and the user's mobile terminal to obtain the preprocessed data;

[0081] The data output unit converts the preprocessed data into a data standard format to obtain converted standard format data.

[0082] Specifically, the automobile training room visualization management system provided by the present invention, the data cache diversion unit, includes:

[0083] A threshold setting unit receives a data processing peak threshold and loads the data processing peak threshold into a data cache diversion unit;

[0084] A data monitoring unit is used to monitor the data flow of the automobile training room visualization management system in real time and count the data volume of the automobile training room visualization management system in real time;

[0085] Data volume comparison is used to compare the real-time monitored data volume with the preset data processing peak threshold to obtain the data volume comparison result;

[0086] The diversion decision unit starts the diversion mechanism when the amount of real-time monitored data exceeds the preset data processing peak threshold.

[0087] Specifically, the automobile training room visualization management system provided by the present invention includes a diversion decision unit, which includes:

[0088] A real-time monitoring and threshold comparison unit monitors data traffic and compares the real-time data volume with a preset data processing peak threshold;

[0089] A data processing volume state determination unit determines that the current data processing volume is in a peak state if the real-time data volume exceeds a data processing peak threshold;

[0090] The diversion mechanism unit is started. When the data processing volume reaches a peak state, the diversion decision unit generates information to transfer the data in the peak period to a designated processing location and obtains a diversion decision;

[0091] Data transmission and processing unit, based on the diversion decision, the data is transmitted to the corresponding data processing partition for parallel processing.

[0092] Specifically, the automobile training room visualization management system provided by the present invention, the data processing partition unit, includes:

[0093] A processing partition establishing unit establishes multiple data processing partitions on the server side to obtain data processing partitions;

[0094] A data transmission unit, transmitting the data diverted by the data cache diversion unit to the corresponding data processing partition;

[0095] The data processing unit independently processes data within the data processing partition and generates processing results for the data reprocessing partition.

[0096] Specifically, the automobile training room visualization management system provided by the present invention, the system monitoring unit, includes:

[0097] Real-time monitoring unit to monitor the operating status of each data processing partition;

[0098] an abnormality detection unit, which generates warning information corresponding to the running state of the data processing partition when there is an abnormal running state of the data processing partition and the running state performance of the data processing partition is degraded in the running state of each data processing partition;

[0099] The log recording unit records the operation log of the system monitoring unit.

[0100] Specifically, the automobile training room visualization management system provided by the present invention, the fault prediction unit, includes:

[0101] The data acquisition unit retrieves the historical data and real-time operation status information of the automobile training room visualization management system from the database;

[0102] The model building unit uses a preset fault prediction model to train the historical data and real-time operation status information of the automobile training room visualization management system to obtain a trained fault prediction model;

[0103] The fault prediction unit uses the trained fault prediction model to perform data processing and analysis on the real-time partition data to obtain the partition data fault prediction results.

[0104] Specifically, the automobile training room visualization management system provided by the present invention, the user interface interaction unit, includes:

[0105] An interface information receiving unit receives and processes user interface interaction information to obtain user interface requirements and configuration parameters of the user requirement interface;

[0106] The interface design unit generates a user interaction interface according to user interface requirements and configuration parameters of the user requirement interface;

[0107] The data display unit determines interface requirement information according to the user interaction interface, matches data according to the interface requirement information, and displays the matched data on the user interaction interface.

[0108] The present invention solves the problems of various types of equipment in automobile training rooms, different data formats and communication protocols, and the influence of huge data processing volume on system stability. Specifically:

[0109] The present invention first receives and processes data from different devices and terminals through a data integration unit, performs cleaning and format conversion, and ensures the standardization and consistency of the data.

[0110] When the data processing volume reaches a peak, the data cache diversion unit will automatically start the diversion mechanism and transfer part of the data to the designated processing location, thereby reducing the burden on the main server and avoiding processing bottlenecks. The data processing partition unit realizes parallel processing of data by establishing multiple processing partitions, thereby improving processing efficiency and the flexibility of the entire system. The system monitoring unit continuously monitors the operating status of each processing partition. Once an abnormality or performance degradation is found, an alarm will be immediately issued to ensure that the problem can be solved in time. The fault prediction unit uses historical data and real-time operating status information for training and analysis to predict and handle possible faults in advance. The user interface interaction unit is responsible for receiving and processing user interaction information, innovating the user interaction interface, and ensuring that users can easily obtain and manage the required information. The synergistic effect of the technical means of the present invention not only enhances the stability of the system under high data processing volume, but also improves the visual management efficiency of the automobile training room.

[0111] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations, and the above-mentioned embodiments of the present invention do not constitute a limitation on the scope of protection of the present invention.

Claims

1. A visual management system for automobile training rooms, characterized in that: include: The server side, the device side, the background control side and the user mobile terminal establish a communication connection with the device side, the background control side and the user mobile terminal, and the server side includes; The data integration unit receives data from the device end, the background control end and the user's mobile terminal, pre-processes the data received from the device end, the background control end and the user's mobile terminal, and obtains the pre-processed data from the device end, the background control end and the user's mobile terminal; The data cache diversion unit receives a preset data processing peak threshold, performs data volume statistics on the data of the device end, the background control end and the user mobile terminal obtained in real time, obtains real-time data statistical results, compares the real-time data statistical results with the preset data processing peak threshold, obtains data volume status comparison results, and the data volume status comparison results include a data processing volume stable stage and a data processing volume peak stage. When the data processing volume is at the peak stage, the data corresponding to the data processing volume at the peak stage is diverted to obtain a data diversion processing result, and according to the data diversion processing result, the data corresponding to the data processing volume at the peak stage is transmitted to the designated data processing position; A data processing partition unit is used to establish a data processing partition, establish a partition position label corresponding to the data diversion processing result for the data processing partition, transmit data corresponding to the peak stage of data processing volume to the data processing partition corresponding to the partition position label, and the data processing partition processes the data in the partition to generate a partition data processing result; The system monitoring unit monitors the running status of partition data processing in real time. The running status of partition data processing includes data processing speed and remaining data processing space. It issues an alarm when partition data processing is abnormal or partition data processing performance decreases. The fault prediction unit retrieves the historical data and system operation status of the automobile training room visual management system. The fault prediction unit collects the real-time operation status of the automobile training room visual management system by analyzing the historical data and system operation status of the automobile training room visual management system. The fault prediction unit predicts the faults existing in the automobile training room visual management system. The user interface interaction unit receives preset user interface interaction information, innovates the user interaction interface according to the preset user interaction information, classifies the received data according to the preset user interaction information, obtains real-time data classification information, compares the real-time data classification information with the original data classification information, and if there is a new data category, adds a user interaction interface corresponding to the new data category. The user interface interaction unit is used to display system information, set up the system, and query data through the interface.

2. The automobile training room visualization management system according to claim 1, characterized in that: Data integration unit, including: A data receiving unit receives data transmitted by a device, a background control terminal and a user's mobile terminal; The data preprocessing unit performs cleaning and format conversion preprocessing operations on the data received from the device end, the background control end and the user's mobile terminal to obtain the preprocessed data; The data output unit converts the preprocessed data into a data standard format to obtain converted standard format data.

3. The automobile training room visualization management system according to claim 1, characterized in that: Data cache distribution unit, including: A threshold setting unit receives a data processing peak threshold and loads the data processing peak threshold into a data cache diversion unit; A data monitoring unit is used to monitor the data flow of the automobile training room visualization management system in real time and count the data volume of the automobile training room visualization management system in real time; Data volume comparison is used to compare the real-time monitored data volume with the preset data processing peak threshold to obtain the data volume comparison result; The diversion decision unit starts the diversion mechanism when the amount of real-time monitored data exceeds the preset data processing peak threshold.

4. The automobile training room visualization management system according to claim 3, characterized in that: The diversion decision unit includes: A real-time monitoring and threshold comparison unit monitors data traffic and compares the real-time data volume with a preset data processing peak threshold; A data processing volume state determination unit determines that the current data processing volume is in a peak state if the real-time data volume exceeds a data processing peak threshold; The diversion mechanism unit is started. When the data processing volume reaches a peak state, the diversion decision unit generates information to transfer the data in the peak period to a designated processing location and obtains a diversion decision; Data transmission and processing unit, based on the diversion decision, the data is transmitted to the corresponding data processing partition for parallel processing.

5. The automobile training room visualization management system according to claim 1, characterized in that: Data processing partition unit, including: A processing partition establishing unit establishes multiple data processing partitions on the server side to obtain data processing partitions; A data transmission unit, transmitting the data diverted by the data cache diversion unit to the corresponding data processing partition; The data processing unit independently processes data within the data processing partition and generates processing results for the data reprocessing partition.

6. The automobile training room visualization management system according to claim 1, characterized in that: System monitoring unit, including: Real-time monitoring unit to monitor the operating status of each data processing partition; an abnormality detection unit, which generates warning information corresponding to the running state of the data processing partition when there is an abnormal running state of the data processing partition and the running state performance of the data processing partition is degraded in the running state of each data processing partition; The log recording unit records the operation log of the system monitoring unit.

7. The automobile training room visualization management system according to claim 1, characterized in that: Fault prediction unit, including: The data acquisition unit retrieves the historical data and real-time operation status information of the automobile training room visualization management system from the database; The model building unit uses a preset fault prediction model to train the historical data and real-time operation status information of the automobile training room visualization management system to obtain a trained fault prediction model; The fault prediction unit uses the trained fault prediction model to perform data processing and analysis on the real-time partition data to obtain the partition data fault prediction results.

8. The automobile training room visualization management system according to claim 1, characterized in that: User interface interaction unit, including: An interface information receiving unit receives and processes user interface interaction information to obtain user interface requirements and configuration parameters of the user requirement interface; The interface design unit generates a user interaction interface according to user interface requirements and configuration parameters of the user requirement interface; The data display unit determines interface requirement information according to the user interaction interface, matches data according to the interface requirement information, and displays the matched data on the user interaction interface.

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