Data integration management control system and method for new energy engineering machinery

Abstract

The invention provides a data integration management control system for new energy engineering machinery. The data integration management control system comprises a core controller and a whole vehicle data interaction module, the whole vehicle data interaction module is in communication connection with the core controller through a CAN (Controller Area Network); the whole vehicle data interaction module comprises an input acquisition module and an output control module, and the core controller receives relevant parameters generated in the operation process of engineering machinery acquired by the input acquisition module, processes the relevant parameters and issues a whole vehicle control instruction through the output control module. The problem that an existing new energy engineering machinery vehicle control unit cannot meet the requirements for the number of communication interfaces and the data processing capacity is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of new energy engineering machinery, and in particular to a data integration management control system and method for new energy engineering machinery. Background Art

[0002] New energy engineering machinery mainly executes the vehicle control process through the vehicle controller. By integrating multiple CAN interfaces, on-board Ethernet communication interfaces and multiple data acquisition modules in the vehicle controller, the vehicle controller can directly interact with multiple controllers, sensors and actuators for data.

[0003] However, with the continuous development of new energy engineering machinery and the continuous improvement of electrification and intelligence levels, its electronic control system is becoming more and more complex, the number of CAN bus nodes is increasing, and the communication data is also increasing. The traditional method of deploying multiple CAN buses still cannot escape the problem of high CAN bus debt ratio and easy frame loss and error. In addition, due to the limited number of vehicle controller communication interfaces and general computing power, it is difficult to completely and directly cover the various controllers, sensors and actuators on the vehicle, which poses serious challenges to the unified management of data and the deployment and analysis of big data and large models. Summary of the invention

[0004] The present invention proposes a data integration management control system and method for new energy engineering machinery, which solves the problem that the existing new energy engineering machinery vehicle controller cannot meet the number of communication interfaces and data processing capabilities. The technical solution of the present invention is implemented as follows:

[0005] A data integration management and control system for new energy engineering machinery comprises a core controller and a whole vehicle data interaction module; the whole vehicle data interaction module is connected to the core controller via CAN communication; the whole vehicle data interaction module comprises an input acquisition module and an output control module, the core controller receives relevant parameters generated during the operation of the engineering machinery collected by the input acquisition module, and after processing, issues whole vehicle control instructions through the output control module.

[0006] As a preferred technical solution, the input acquisition module is used to collect digital quantities, analog quantities and frequency quantities during the operation of the entire vehicle, and the output control module outputs PWM signals, analog quantities and relay drive output signals.

[0007] As a preferred technical solution, the core controller includes a power management unit, a SOC multi-core processor, a storage unit, a data packet forwarding engine, a low-latency communication engine, a USB module, LINFlexD, FlexCAN, and an Ethernet PHY module.

[0008] As a preferred technical solution, the SOC multi-core processor includes 4 ARM Cortex-A cores and 3 ARMCortex-M cores. Among them, the ARM Cortex-A core is used to process Ethernet data with large data volume and low real-time requirements, uniformly manage vehicle network data, and deploy machine learning models based on big data. The Cortex-M core is used to process CAN bus forwarding messages with high real-time requirements and vehicle control processes.

[0009] As a preferred technical solution, the storage unit includes an LPDDR4 random access memory module, an SD Card storage module, an EMMC storage module, and a QSPI storage module. The LPDDR4 random access memory module, the SD Card storage module, the EMMC storage module, and the QSPI storage module are respectively connected to the SOC multi-core processor for communication; the vehicle control and gateway routing program are connected to the QSPI storage module, and the data of the ARM Cortex-A core is stored in the EMMC memory.

[0010] As a preferred technical solution, the data packet forwarding engine is connected to the Ethernet switch chip and 2-way Gigabit Ethernet PHY modules; the Ethernet switch chip is connected to 6-way 100M T1 interfaces, 1-way 100M TX interface and two-way Gigabit PHY modules.

[0011] As a preferred technical solution, the low-latency communication engine is electrically connected to 16 CAN / CANFD channels, 4 LIN channels and 1 FlexRay channel.

[0012] As a preferred technical solution, the vehicle control program integrates and controls the input and output modules of the vehicle data interaction module through the Flex CAN interface data. The gateway routing program configures the low-latency communication engine and the CAN to CAN, CAN to Ethernet, Ethernet to CAN, and Ethernet to Ethernet routing rules in the data packet forwarding engine interface.

[0013] As a preferred technical solution, the USB module is connected to the 5G / 4G module and the WIFI module, and accesses the wireless communication network through a SIM card or WIFI.

[0014] A data integration management and control method for new energy engineering machinery uses the above-mentioned data integration management and control system for new energy engineering machinery to perform integrated management on the data of the new energy engineering machinery.

[0015] Compared with the prior art, this solution has the following beneficial effects:

[0016] (1) The data integration management and control system provided by the present invention is connected to a variety of acquisition methods, which can not only meet the signal acquisition requirements of traditional vehicle controllers, but also meet the requirements of vehicle Ethernet, industrial Ethernet, wireless communication, etc. derived from the development of new energy engineering machinery towards intelligence.

[0017] (2) The core controller based on the hardware acceleration engine high-performance computing unit and sufficient CAN interface hardware resources can greatly reduce the bus debt ratio, reduce chip load, and improve bus system stability by routing and forwarding to the CAN nodes in need. It can cope with the demand for more CAN nodes and more data caused by the increasingly complex electronic control system.

[0018] (3) The system of the present invention centrally manages the network data of the entire vehicle, which is conducive to the deployment of big data models. It not only meets the process management requirements of traditional vehicle controllers, but also can deploy computing models of new energy engineering machinery such as working condition identification and mileage estimation, providing strong guarantees for the intelligentization and Internet of Things upgrade of new energy engineering machinery. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A detailed schematic block diagram of a data integration management and control system for new energy engineering machinery according to the present invention;

[0021] Figure 2 This is a structural schematic diagram of a vehicle data interaction module of a data integration management and control system for new energy engineering machinery according to the present invention;

[0022] Figure 3 The present invention is a schematic diagram of the communication structure between an ARM Cortex-A core and an ARM Cortex-M core of a data integration management and control system for new energy engineering machinery. DETAILED DESCRIPTION

[0023] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. 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.

[0024] Reference Figure 1The present invention provides a data integration management and control system for new energy engineering machinery, including a core controller and a vehicle data interaction module; the vehicle data interaction module is connected to the core controller via CAN communication; Figure 2 The vehicle data interaction module includes an input acquisition module and an output control module. The core controller receives the relevant parameters generated during the operation of the engineering machinery collected by the input acquisition module, and after processing, sends the vehicle control instructions through the output control module. Specifically, the input acquisition module is used to collect digital quantities, analog quantities and frequency quantities during the operation of the vehicle, and the output control module outputs PWM signals, analog quantities and relay drive output signals.

[0025] The core controller includes a power management unit, a SOC multi-core processor, a storage unit, a packet forwarding engine, a low-latency communication engine, a USB module, a LINFlexD, a FlexCAN, and an Ethernet PHY module.

[0026] Specifically, the SOC multi-core processor includes 4 ARM Cortex-A cores and 3 ARM Cortex-M cores. Among them, the ARMCortex-A core is used to process Ethernet data with large data volume and low real-time requirements, uniformly manage vehicle network data, and deploy machine learning models based on big data. The Cortex-M core is used to process CAN bus forwarding messages with high real-time requirements and vehicle control processes.

[0027] The storage unit includes an LPDDR4 random access memory module, an SD Card storage module, an EMMC storage module, and a QSPI storage module. The LPDDR4 random access memory module, the SD Card storage module, the EMMC storage module, and the QSPI storage module are respectively connected to the SOC multi-core processor for communication; the vehicle control and gateway routing program are connected to the QSPI storage module, and the data of the ARMCortex-A core is stored in the EMMC memory.

[0028] The data packet forwarding engine is connected to the Ethernet switch chip and 2-way Gigabit Ethernet PHY modules; the Ethernet switch chip is connected to 6-way 100M T1 interfaces, 1-way 100M TX interface and two-way Gigabit PHY modules.

[0029] The low-latency communication engine is electrically connected to 16 CAN / CANFD channels, 4 LIN channels, and 1 FlexRay channel.

[0030] The vehicle control program integrates and controls the input and output modules of the vehicle data interaction module through the Flex CAN interface data. The gateway routing program configures the low-latency communication engine and the CAN to CAN, CAN to Ethernet, Ethernet to CAN, and Ethernet to Ethernet routing rules in the data packet forwarding engine interface.

[0031] The USB module is connected to the 5G / 4G module and the WIFI module, and accesses the wireless communication network through a SIM card or WIFI.

[0032] Reference Figure 3 ,In the SOC, the four ARM Cortex-A cores and the three ARM Cortex-M cores exchange information through ,inter-core communication. The information in the Cortex-A core is stored in the EMMC ,memory, and the information in the Cortex-M core is stored in the NOR FLASH ,memory.

[0033] Compared with the existing data integration management system for engineering machinery, this system has the following advantages: the data integration management and control system provided by the present invention is connected to a variety of acquisition methods, which can not only meet the signal acquisition requirements of traditional vehicle controllers, but also meet the requirements of vehicle Ethernet, industrial Ethernet, wireless communication, etc. derived from the intelligent development of new energy engineering machinery. The core controller based on the hardware acceleration engine high-performance computing unit and sufficient CAN interface hardware resources can greatly reduce the bus debt ratio, reduce chip load, and improve the stability of the bus system by routing and forwarding to the CAN nodes in need, and can cope with the needs of increasing CAN nodes and data volume caused by increasingly complex electronic control systems. The system of the present invention centrally manages the network data of the whole vehicle, which is conducive to the deployment of big data models. It not only meets the process management requirements of traditional vehicle controllers, but also can deploy new energy engineering machinery such as working condition identification, mileage estimation and other computing models, providing strong guarantees for the intelligentization and Internet of Things upgrade of new energy engineering machinery.

[0034] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A data integration management and control system for new energy engineering machinery, characterized in that: It includes a core controller and a whole vehicle data interaction module; the whole vehicle data interaction module is connected to the core controller via CAN communication; the whole vehicle data interaction module includes an input acquisition module and an output control module, the core controller receives the relevant parameters generated during the operation of the engineering machinery collected by the input acquisition module, and after processing, sends the whole vehicle control instructions through the output control module.

2. A data integration management and control system for new energy engineering machinery as claimed in claim 1, characterized in that: The input acquisition module is used to collect digital quantities, analog quantities and frequency quantities during the operation of the vehicle, and the output control module outputs PWM signals, analog quantities and relay drive output signals.

3. A data integration management and control system for new energy engineering machinery as claimed in claim 1, characterized in that: The core controller includes a power management unit, a SOC multi-core processor, a storage unit, a data packet forwarding engine, a low-latency communication engine, a USB module, a LINFlexD, a FlexCAN, and an Ethernet PHY module.

4. A data integration management and control system for new energy engineering machinery as claimed in claim 3, characterized in that: The SOC multi-core processor includes 4 ARM Cortex-A cores and 3 ARM Cortex-M cores, wherein the ARMCortex-A core is used to process Ethernet data with large data volume and low real-time requirements, uniformly manage vehicle network data, and deploy machine learning models based on big data; the Cortex-M core is used to process CAN bus forwarding messages with high real-time requirements and vehicle control processes.

5. A data integration management and control system for new energy engineering machinery as claimed in claim 3, characterized in that: The storage unit includes an LPDDR4 random access memory module, an SD Card storage module, an EMMC storage module, and a QSPI storage module. The LPDDR4 random access memory module, the SD Card storage module, the EMMC storage module, and the QSPI storage module are respectively connected to the SOC multi-core processor for communication; the vehicle control and gateway routing program are connected to the QSPI storage module, and the data of the ARM Cortex-A core is stored in the EMMC memory.

6. A data integration management and control system for new energy engineering machinery as claimed in claim 3, characterized in that: The data packet forwarding engine is connected to an Ethernet switch chip and two Gigabit Ethernet PHY modules; the Ethernet switch chip is connected to six 100M T1 interfaces, one 100M TX interface and two Gigabit PHY modules.

7. A data integration management and control system for new energy engineering machinery as claimed in claim 3, characterized in that: The low-latency communication engine is electrically connected to 16 CAN / CANFD channels, 4 LIN channels and 1 FlexRay channel.

8. A data integration management and control system for new energy engineering machinery as claimed in claim 3, characterized in that: The vehicle control program integrates and controls the input and output modules of the vehicle data interaction module through the Flex CAN interface data; the gateway routing program configures the low-latency communication engine and the CAN to CAN, CAN to Ethernet, Ethernet to CAN, and Ethernet to Ethernet routing rules in the data packet forwarding engine interface.

9. A data integration management and control system for new energy engineering machinery as claimed in claim 1, characterized in that: The USB module is connected to the 5G / 4G module and the WIFI module, and accesses the wireless communication network through a SIM card or WIFI.

10. A data integration management and control method for new energy engineering machinery, characterized in that: The data of the new energy engineering machinery is managed in an integrated manner using a data integration management and control system for the new energy engineering machinery as described in any one of claims 1 to 9 above.

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