Design method of small-size vehicle-mounted load

Abstract

The invention relates to the technical field of automotive electronics, and discloses a vehicle-mounted load design method, which comprises the following steps: S1, detecting and protecting power supply input, monitoring a vehicle-mounted power supply, stabilizing voltage and filtering if the vehicle-mounted power supply is stable and meets a range, and otherwise, reporting an error prompt; s2, signal detection and transmission: a signal detection module monitors load switch and AOC states and transmits the load switch and AOC states to a CPU; s3, load control: receiving an instruction to control load power supply output, and monitoring and feeding back data; and S4, data acquisition and processing: initializing a parameter acquisition signal, storing after preprocessing, and continuously acquiring if the condition is not met, the method designs a power input module, a signal detection module, a load control module, a data acquisition module and a communication module into independent pluggable modules, and the design allows a user to flexibly configure and upgrade each module according to actual requirements, so that the user experience is improved. The whole system does not need to be changed on a large scale, and the maintenance and troubleshooting process is simplified through the modular design.

Description

Technical Field

[0001] The present invention relates to the field of automotive electronic technology, and in particular to a method for designing a small-volume vehicle load. Background Art

[0002] With the rapid development of automotive electronic technology, vehicle-mounted load devices are used more and more widely in automobiles. These devices are not only required to have high performance and stability, but also need to meet the requirements of small size, low power consumption and easy maintenance. However, traditional vehicle-mounted load design methods often have problems such as large size, high power consumption and difficult maintenance, and cannot meet the stringent requirements of modern automobiles for vehicle-mounted load devices. In order to solve these problems, the present invention proposes a small-volume vehicle-mounted load design method. The method adopts key technologies such as modular design, power input detection and protection, signal detection and transmission, load control, data acquisition and processing, and communication module management to achieve small size, high performance and easy maintenance of vehicle-mounted load equipment. For this reason, we propose a small-volume vehicle-mounted load design method. Summary of the invention

[0003] 1. Technical issues to be resolved

[0004] In view of the deficiencies in the prior art, the present invention provides a method for designing a small-volume vehicle load, which solves the above-mentioned problems.

[0005] (II) Technical solution

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: A method for designing a small-volume vehicle load:

[0007] S1. Power input detection and protection: The power input module monitors the vehicle power input in real time to determine its stability and whether it is within the predetermined range. If the input is stable and within the range, voltage stabilization and filtering are performed to ensure the stable operation of the subsequent circuits. If it does not meet the requirements, an error is immediately reported and the user is prompted to check the power supply through display or sound.

[0008] S2. Signal detection and transmission: The signal detection module continuously monitors the status of the load switch and AOC, accurately records this status information, and transmits it to the CPU processing module in real time for subsequent analysis and control;

[0009] S3. The load control module receives the instructions from the CFU processing module, accurately determines the state of the load switch according to the instructions, and controls the output of the load power supply accordingly. At the same time, the module is also responsible for monitoring the working state of the load, recording key working data, and feeding back these data to the CPU processing module in a timely manner for further adjustment and optimization;

[0010] S4. Data acquisition and processing: The data acquisition module sets the data acquisition parameters in the initialization stage, and then collects key signals such as voltage and current according to these parameters, and performs necessary preprocessing, such as filtering and denoising. The processed data is stored in the local or external memory. At the same time, the module will continuously check whether the conditions for the end of acquisition are met. If not, it will continue to collect;

[0011] S5. Communication module management: The communication module is responsible for initializing communication parameters and establishing a stable connection with the external host. After the connection is established, the module processes communication requests from the external host and updates the communication status in real time. When it detects that the conditions for disconnection are met, the module will actively disconnect; otherwise, it will continue to wait and process new communication requests.

[0012] Preferably, the power input module in step S1 also includes an overvoltage and undervoltage protection mechanism, which can ensure that when an abnormal situation occurs in the vehicle power supply, the power supply is automatically cut off or other protective measures are taken, thereby effectively protecting the load equipment from damage.

[0013] Preferably, the signal detection module in step S2 also has an abnormal state warning function. When an abnormal load switch or AOC state is detected, a warning message can be immediately sent to the CFU processing module so that timely measures can be taken to prevent possible failures.

[0014] Preferably, the load control module in step S3 also includes a load balancing function, which can dynamically adjust the power output according to the real-time status of the load to ensure that the load receives the optimal power supply while avoiding resource waste and excessive wear, thereby optimizing load performance and extending its service life.

[0015] Preferably, the data acquisition module in step S4 also includes a data verification and correction function, which can verify the collected data and automatically correct it when errors are found, so as to ensure the accuracy and reliability of the data and provide strong support for subsequent data analysis and processing.

[0016] Preferably, the communication module in step S5 also includes data encryption and security authentication functions, which can ensure that the communication process with the external host is safe and reliable, and prevent data leakage and illegal access. Specifically, the module uses advanced encryption algorithms to encrypt data, and performs identity authentication and authorization checks during the communication process to ensure that only legitimate users can access and operate the data.

[0017] Preferably, the method also includes a modular design step, that is, the power input module, signal detection module, load control module, data acquisition module and communication module are designed as independent pluggable modules. This design allows users to flexibly configure and upgrade each module according to actual needs, thereby reducing maintenance costs and improving the scalability and maintainability of the system.

[0018] Preferably, in step S3, the load control module further includes overload protection and short circuit protection functions. When an overload or short circuit is detected in the load, the module can immediately cut off the power output to protect the load equipment and the power supply system from damage. At the same time, the module will also send an alarm message to the CPU processing module so that timely measures can be taken for repair.

[0019] Preferably, the method also includes intelligent diagnosis and fault prediction steps, by analyzing the load working data collected by the data acquisition module and using machine learning or deep learning algorithms to monitor and predict the health status of the load equipment in real time. This method can detect potential faults in advance and take corresponding preventive measures, thereby avoiding the occurrence of faults and improving the stability and reliability of the system.

[0020] (III) Beneficial effects

[0021] Compared with the prior art, the present invention provides a method for designing a small-volume vehicle load, which has the following beneficial effects:

[0022] 1. This method designs the power input module, signal detection module, load control module, data acquisition module and communication module as independent pluggable modules. This design allows users to flexibly configure and upgrade each module according to actual needs without making large-scale changes to the entire system. The modular design also simplifies the maintenance and troubleshooting process. When a module has a problem, it can be replaced or repaired individually, reducing maintenance costs and time.

[0023] 2. Modular design allows users to flexibly select and configure each module according to actual needs. This means that if users need to add or change certain functions, they only need to add or replace the corresponding modules without making large-scale changes to the entire system. This flexibility not only reduces the upgrade cost of the system, but also improves the adaptability and scalability of the system, enabling it to better meet changing needs. The independent module design makes system maintenance and troubleshooting simpler and faster. When a module fails, users can quickly locate the problem and replace or repair the module without shutting down the entire system for maintenance. In addition, modular design also makes the maintenance and management of the system more orderly and efficient. Users can formulate reasonable maintenance plans based on the use of the modules to ensure the stable operation of the system and extend its service life. Modular design also enhances the reliability and stability of the system by improving the redundancy and fault tolerance of the system. Since each module is independent, even if a module fails, it will not affect the normal operation of other modules. This redundant design enables the system to continue to maintain a certain operating capacity when a failure occurs, thereby improving the overall reliability and stability of the system.

[0024] 3. By analyzing the load working data collected by the data acquisition module, the health status of the load equipment is monitored and predicted in real time using machine learning or deep learning algorithms. This intelligent diagnosis and fault prediction capability can detect potential faults in advance and take corresponding preventive measures to avoid the occurrence of faults, reduce system downtime and maintenance costs. In addition, it also helps to optimize load performance, extend equipment life, and improve the stability and reliability of the overall system. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 It is a schematic diagram of the overall process structure of the present invention;

[0026] Figure 2 This is a schematic diagram of the structure of the power input module of the present invention;

[0027] Figure 3 This is a schematic diagram of the structure of the signal detection module of the present invention;

[0028] Figure 4 This is a schematic diagram of the structure of the load control module of the present invention;

[0029] Figure 5 This is a structural diagram of a data acquisition module of the present invention;

[0030] Figure 6 This is a schematic diagram of the structure of the communication module of the present invention;

[0031] Figure 7 It is a schematic diagram of the calculation process of the power input module of the present invention;

[0032] Figure 8 This is a schematic diagram of the calculation flow of the signal detection module of the present invention;

[0033] Fig. 9 It is a schematic diagram of the calculation flow of the load control module of the present invention;

[0034] Fig.10 It is a schematic diagram of the calculation process of the data acquisition module of the present invention;

[0035] Fig.11 This is a schematic diagram of the calculation flow of the communication module of the present invention, DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0037] See also Figure 1-11 , a small-volume vehicle load design method:

[0038] S1. Power input detection and protection: The power input module monitors the vehicle power input in real time to determine its stability and whether it is within the predetermined range. If the input is stable and within the range, voltage stabilization and filtering are performed to ensure the stable operation of the subsequent circuits. If it does not meet the requirements, an error is immediately reported and the user is prompted to check the power supply through display or sound.

[0039] S2. Signal detection and transmission: The signal detection module continuously monitors the status of the load switch and AOC, accurately records this status information, and transmits it to the CPU processing module in real time for subsequent analysis and control;

[0040] S3. The load control module receives the instructions from the CFU processing module, accurately determines the state of the load switch according to the instructions, and controls the output of the load power supply accordingly. At the same time, the module is also responsible for monitoring the working state of the load, recording key working data, and feeding back these data to the CPU processing module in a timely manner for further adjustment and optimization;

[0041] S4. Data acquisition and processing: The data acquisition module sets the data acquisition parameters in the initialization stage, and then collects key signals such as voltage and current according to these parameters, and performs necessary preprocessing, such as filtering and denoising. The processed data is stored in the local or external memory. At the same time, the module will continuously check whether the conditions for the end of acquisition are met. If not, it will continue to collect;

[0042] S5. Communication module management: The communication module is responsible for initializing communication parameters and establishing a stable connection with the external host. After the connection is established, the module processes communication requests from the external host and updates the communication status in real time. When it detects that the conditions for disconnection are met, the module will actively disconnect; otherwise, it will continue to wait and process new communication requests.

[0043] The power input module in step S1 also includes an overvoltage and undervoltage protection mechanism, which can ensure that when an abnormal situation occurs in the vehicle power supply, the power supply is automatically cut off or other protective measures are taken, thereby effectively protecting the load equipment from damage.

[0044] The signal detection module in step S2 also has an abnormal state warning function. When an abnormal load switch or AOC state is detected, a warning message can be immediately sent to the CFU processing module so that timely measures can be taken to prevent possible failures.

[0045] The load control module in step S3 also includes a load balancing function, which can dynamically adjust the power output according to the real-time status of the load to ensure that the load receives the optimal power supply while avoiding resource waste and excessive wear, thereby optimizing load performance and extending its service life.

[0046] The data acquisition module in step S4 also includes a data verification and correction function, which can verify the collected data and automatically correct it when errors are found, so as to ensure the accuracy and reliability of the data and provide strong support for subsequent data analysis and processing.

[0047] The communication module in step S5 also includes data encryption and security authentication functions, which can ensure that the communication process with the external host is safe and reliable, and prevent data leakage and illegal access. Specifically, the module uses advanced encryption algorithms to encrypt data, and performs identity authentication and authorization checks during the communication process to ensure that only legitimate users can access and operate the data.

[0048] The method also includes a modular design step, that is, designing the power input module, signal detection module, load control module, data acquisition module and communication module as independent pluggable modules. This design allows users to flexibly configure and upgrade each module according to actual needs, thereby reducing maintenance costs and improving the scalability and maintainability of the system.

[0049] In step S3, the load control module further includes overload protection and short circuit protection functions. When an overload or short circuit is detected in the load, the module can immediately cut off the power output to protect the load equipment and the power system from damage. At the same time, the module will also send an alarm message to the CPU processing module so that timely measures can be taken for repair.

[0050] The method also includes intelligent diagnosis and fault prediction steps. By analyzing the load working data collected by the data acquisition module, the health status of the load equipment is monitored and predicted in real time using machine learning or deep learning algorithms. This method can detect potential faults in advance and take corresponding preventive measures to avoid the occurrence of faults and improve the stability and reliability of the system.

[0051] Working principle:

[0052] Power input detection and protection (S1)

[0053] The power input module monitors the input of the vehicle power supply in real time, including the stability of voltage and current and whether they are within the predetermined range.

[0054] If the input is stable and within the range, the voltage stabilization and filtering process is used to ensure the stable operation of the subsequent circuits.

[0055] If the input is unstable or out of range, an error message will be given immediately, and the user will be prompted to check the power supply through display or sound. At the same time, the module also includes overvoltage and undervoltage protection mechanisms to ensure that the power supply is automatically cut off or other protective measures are taken when the power supply is abnormal.

[0056] Signal detection and transmission (S2)

[0057] The signal detection module continuously monitors the status of the load switch and AOC (which may be a specific sensor or component) and accurately records the status information.

[0058] The status information is transmitted to the CPU processing module in real time for subsequent analysis and control.

[0059] The module also has an abnormal status warning function. When an abnormal load switch or AOC status is detected, it can immediately send a warning message to the CFU processing module.

[0060] Load control (S3)

[0061] The load control module receives the instructions from the CFU processing module, accurately determines the state of the load switch according to the instructions, and controls the output of the load power supply accordingly.

[0062] The module is also responsible for monitoring the working status of the load, recording key working data, and promptly feeding this data back to the CPU processing module for further adjustment and optimization.

[0063] The load control module also includes a load balancing function, which can dynamically adjust the power output according to the real-time status of the load to ensure that the load receives the optimal power supply.

[0064] When overload or short circuit is detected in the load, the module can immediately cut off the power output to protect the load equipment and power system, and at the same time, send an alarm message to the CPU processing module.

[0065] Data acquisition and processing (S4)

[0066] The data acquisition module sets the data acquisition parameters during the initialization phase.

[0067] According to these parameters, key signals such as voltage and current are collected and necessary preprocessing is performed, such as filtering and denoising.

[0068] The processed data is stored in local or external storage.

[0069] The module continuously checks whether the conditions for the end of acquisition are met, and continues to acquire if not.

[0070] The data acquisition module also includes data verification and correction functions to ensure the accuracy and reliability of the data.

[0071] Communication module management (S5)

[0072] The communication module is responsible for initializing communication parameters and establishing a stable connection with the external host.

[0073] After the connection is established, it processes communication requests from the external host and updates the communication status in real time.

[0074] When the module detects that the disconnection conditions are met, it will actively disconnect; otherwise, it will continue to wait and process new communication requests.

[0075] The communication module also includes data encryption and security authentication functions to ensure that the communication process with the external host is safe and reliable.

[0076] Intelligent diagnosis and fault prediction

[0077] By analyzing the load working data collected by the data acquisition module, machine learning or deep learning algorithms are used to monitor and predict the health status of the load equipment in real time.

[0078] Discover potential faults in advance and take corresponding preventive measures to avoid the occurrence of faults and improve the stability and reliability of the system.

[0079] Advantages of modular design

[0080] Flexibility: Users can flexibly configure and upgrade each module according to actual needs.

[0081] Scalability: With the continuous development of technology, users can easily add new functional modules to expand the functionality of the system.

[0082] Maintainability: Independent module design makes maintenance and troubleshooting easier and faster.

[0083] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A small-volume vehicle load design method, characterized in that: S1. Power input detection and protection: The power input module monitors the vehicle power input in real time to determine its stability and whether it is within the predetermined range. If the input is stable and within the range, voltage stabilization and filtering are performed to ensure the stable operation of the subsequent circuits. If it does not meet the requirements, an error is immediately reported and the user is prompted to check the power supply through display or sound. S2. Signal detection and transmission: The signal detection module continuously monitors the status of the load switch and AOC, accurately records this status information, and transmits it to the CPU processing module in real time for subsequent analysis and control; S3. The load control module receives the instructions from the CFU processing module, accurately determines the state of the load switch according to the instructions, and controls the output of the load power supply accordingly. At the same time, the module is also responsible for monitoring the working state of the load, recording key working data, and feeding back these data to the CPU processing module in a timely manner for further adjustment and optimization; S4. Data acquisition and processing: The data acquisition module sets the data acquisition parameters in the initialization stage, and then collects key signals such as voltage and current according to these parameters, and performs necessary preprocessing, such as filtering and denoising. The processed data is stored in the local or external memory. At the same time, the module will continuously check whether the conditions for the end of acquisition are met. If not, it will continue to collect; S5. Communication module management: The communication module is responsible for initializing communication parameters and establishing a stable connection with the external host. After the connection is established, the module processes communication requests from the external host and updates the communication status in real time. When it detects that the conditions for disconnection are met, the module will actively disconnect; otherwise, it will continue to wait and process new communication requests.

2. A small-volume vehicle load design method according to claim 1, characterized in that: The power input module in step S1 also includes an overvoltage and undervoltage protection mechanism, which can ensure that when an abnormal situation occurs in the vehicle power supply, the power supply is automatically cut off or other protective measures are taken, thereby effectively protecting the load equipment from damage.

3. A small-volume vehicle load design method according to claim 1, characterized in that: The signal detection module in step S2 also has an abnormal state warning function. When an abnormal state of the load switch or the AOC is detected, a warning message can be immediately sent to the CFU processing module so that timely measures can be taken to prevent possible failures.

4. A small-volume vehicle load design method according to claim 1, characterized in that: The load control module in step S3 also includes a load balancing function, which can dynamically adjust the power output according to the real-time status of the load to ensure that the load receives the optimal power supply while avoiding resource waste and excessive wear, thereby optimizing load performance and extending its service life.

5. A small-volume vehicle load design method according to claim 1, characterized in that: The data acquisition module in step S4 also includes a data verification and correction function, which can verify the collected data and automatically correct it when errors are found, so as to ensure the accuracy and reliability of the data and provide strong support for subsequent data analysis and processing.

6. A small-volume vehicle load design method according to claim 1, characterized in that: The communication module in step S5 also includes data encryption and security authentication functions, which can ensure that the communication process with the external host is safe and reliable, and prevent data leakage and illegal access. Specifically, the module uses advanced encryption algorithms to encrypt data, and performs identity authentication and authorization checks during the communication process to ensure that only legitimate users can access and operate the data.

7. A small-volume vehicle load design method according to claim 1, characterized in that: The method also includes a modular design step, that is, designing the power input module, signal detection module, load control module, data acquisition module and communication module as independent pluggable modules. This design allows users to flexibly configure and upgrade each module according to actual needs, thereby reducing maintenance costs and improving the scalability and maintainability of the system.

8. A small-volume vehicle load design method according to claim 1, characterized in that: In step S3, the load control module further includes overload protection and short circuit protection functions. When an overload or short circuit is detected in the load, the module can immediately cut off the power output to protect the load equipment and the power system from damage. At the same time, the module will also send an alarm message to the CPU processing module so that timely measures can be taken for repair.

9. A small-volume vehicle load design method according to claim 1, characterized in that: The method also includes intelligent diagnosis and fault prediction steps. By analyzing the load working data collected by the data acquisition module, the health status of the load equipment is monitored and predicted in real time using machine learning or deep learning algorithms. This method can detect potential faults in advance and take corresponding preventive measures to avoid the occurrence of faults and improve the stability and reliability of the system.

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