Calibration data loading method and system for key parts of full electric control system

Abstract

The invention provides a full electric control system key part calibration data loading method, which comprises the following steps: initiating a to-be-loaded key part calibration data request to a cloud platform, retrieving matched to-be-loaded key part calibration data after the cloud platform responds to the calibration data request, and loading the matched to-be-loaded key part calibration data to the cloud platform; downloading the retrieved calibration data to a controller through a vehicle-mounted terminal or an interaction device; and after receiving the calibration data, the controller verifies the calibration data frame by frame, and stores the calibration data passing the verification to a controller storage area to complete calibration data loading. According to the method, the Internet of Things technology and the cloud platform are combined, and the calibration data are transmitted and downloaded by using double loading paths, so that automatic calibration, efficient storage, rapid tracing and flexible recovery of the calibration data of the key parts of the full-electric control system are realized.

Description

Technical Field

[0001] The present invention relates to a method and system for loading calibration data of key components of a fully electronic control system, belonging to the technical field of engineering machinery. Background Art

[0002] With the continuous improvement of the industrialization and intelligentization of existing mechanical equipment, fully electronic control systems are gaining widespread application in various industrial equipment due to their advantages such as precise control and efficient operation. Core components such as electronic control components and main pumps are key to the stable operation of fully electronic control systems. Their performance is directly related to the efficiency and quality of the entire equipment.

[0003] In practical applications, significant performance variations can occur between different electric proportional valves and electronically controlled main pumps due to differences in manufacturing, processing, and assembly precision. These variations can lead to inconsistent outputs from different electronically controlled components under the same input signal, impacting the coordination and stability of the entire electronic control system, significantly reducing the equipment's operating accuracy and efficiency. To address this issue, calibration of electronically controlled components is essential.

[0004] Traditional calibration technology for fully electronic control systems requires complete machine calibration. Recalibration from scratch is a complex and tedious process, hindering production efficiency. New automatic calibration technologies often store calibration data in a decentralized manner, making centralized management and rapid recovery difficult. During workshop production, the distribution and downloading of calibration data is inefficient and prone to errors, severely impacting production efficiency and equipment performance.

[0005] Existing technical solutions generally lack adaptability to complex production and maintenance scenarios (such as workshops without network connections and field operations), making it difficult to achieve on-demand, reliable, and rapid loading of calibration data. Furthermore, the transmission security and integrity of calibration data are insufficiently guaranteed. Summary of the Invention

[0006] The purpose of the present invention is to provide a method and system for loading calibration data of key components of a fully electronic control system. By combining Internet of Things technology with a cloud platform and utilizing dual loading paths, the method and system can realize automatic calibration, efficient storage, rapid tracing, and flexible recovery of calibration data of key components of a fully electronic control system.

[0007] In order to achieve the above objectives / solve the above technical problems, the present invention is implemented by adopting the following technical solutions.

[0008] In one aspect, the present invention provides a method for loading calibration data of key components of a fully electronic control system, comprising: Initiate a request for key component calibration data to be loaded to the cloud platform, After responding to the calibration data request, the cloud platform retrieves the matching calibration data of key components to be loaded, and downloads the retrieved calibration data to the controller via the vehicle terminal or interactive device; After receiving the calibration data, the controller verifies the data frame by frame and stores the calibration data that passes the verification in the controller storage area, completing the loading of the calibration data.

[0009] Furthermore, the calibration data includes: part code, batch number, current-pressure / flow characteristic table, original test sample points, fitting error statistics, hydraulic oil temperature and system pressure; The calibration data format is CSV, XML, JSON or binary format.

[0010] Furthermore, the frame-by-frame check includes: frame sequence number continuity check and CRC check. When the check fails, a NACK signal is sent through the CAN bus to accurately locate the retransmitted frame; after all frames are received, a secondary check is performed on the complete data set in the RAM buffer, and a full package reload is triggered in case of an abnormality.

[0011] Furthermore, the calibration data is provided by the manufacturer or obtained through a test bench and uploaded to the cloud platform for storage, specifically including: Through the preset data quality screening mechanism, abnormal data in the calibration data provided by the manufacturer is eliminated, and the calibration data is verified for compliance; The verified calibration data is uploaded to the cloud platform through an encrypted channel. At the same time, the integrity of the calibration data is verified by a hash algorithm. For the calibration data uploaded to the cloud platform, a multi-dimensional index is built based on the device model, part number and batch number, and a unique identifier is assigned to each calibration data; The calibration data assigned with unique identifiers is stored using a hot data / cold data tiered storage strategy.

[0012] Furthermore, the retrieved calibration data is downloaded to the controller via the vehicle terminal, specifically including: Input the batch number of the key components to be loaded through the instrument, generate a calibration data request and send it to the vehicle terminal; The vehicle terminal requests the corresponding calibration data from the cloud platform and sends the received calibration data to the controller according to the agreed protocol; The controller verifies the calibration data frame by frame and stores it, and sends a confirmation signal to the vehicle terminal.

[0013] Furthermore, the retrieved calibration data is downloaded to the controller via the interactive device, specifically including: Input or scan the batch number of the key components to be loaded through the interactive device to generate a calibration data request; When there is a network, the interactive device downloads the corresponding calibration data from the cloud platform; When there is no network, the corresponding calibration data is loaded from the local cache; The interactive device sends the corresponding calibration data to the controller, which verifies it frame by frame and stores it.

[0014] Furthermore, the data quality screening mechanism includes: outlier detection based on fluctuation thresholds or statistical models; The compliance check includes: detecting the number of sample points and the size of the fitting error threshold.

[0015] In a second aspect, the present invention provides a system for loading calibration data for key components of a fully electronic control system, comprising: A controller, configured to receive and store calibration data and perform automatic calibration; Cloud platform, used for unified storage and management of calibration data and response to calibration data request instructions; The vehicle terminal is used to generate calibration data request instructions and send them to the cloud platform, and download calibration data from the cloud platform.

[0016] Furthermore, it also includes: replacing the interactive device set in the vehicle terminal for loading calibration data online or offline.

[0017] Compared with the existing technology, the beneficial effects achieved by the present invention are as follows: by combining the Internet of Things technology with the cloud platform, the present invention utilizes dual loading paths for calibration data transmission and downloading, thereby realizing automatic calibration, efficient storage, rapid tracing and flexible recovery of calibration data of key components of the full electronic control system. The present invention overcomes the drawbacks of whole-machine calibration and realizes rapid calibration at the part level; the dual paths ensure rapid data loading in various scenarios, and the two paths run independently and back up each other. The specially designed interactive device offline / weak network loading capability (local cache, hybrid transmission protocol) effectively solves the calibration problem in complex environments such as no network and no on-board terminal, and significantly enhances scenario adaptability.

[0018] 2. This invention solves the problems of data dispersion and difficulty in tracing through unified storage, version control, authority management and unique identification indexing on the cloud platform, and realizes centralized data management and strong traceability.

[0019] 3. The present invention effectively prevents the risks of data tampering and transmission errors through encrypted transmission and multiple verification mechanisms, ensures the security and integrity of data transmission, ensures the accurate loading of calibration data, and improves the consistency of the actions of various components of the electronic control system, thereby improving the performance and reliability of the entire machine.

[0020] 4. The standardized data management and flexible loading method of the present invention simplifies the parts replacement and maintenance process, improving equipment interchangeability and maintenance convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the process of the present invention; Figure 2 This is a schematic diagram of the online calibration path flow based on the instrument and the vehicle terminal of the present invention; Figure 3 This is a schematic diagram of the online calibration path communication method based on the instrument and the vehicle terminal of the present invention; Figure 4 This is a schematic diagram of the path calibration process based on scanning code by an interactive device according to the present invention; Figure 5 This is a schematic diagram of the communication method based on interactive device scanning code calibration path of the present invention; Figure 6 Schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0022] It should be noted that the vehicle-mounted terminal is fixedly installed on construction machinery and is used to achieve spatial positioning and data exchange for the construction machinery. It includes: a positioning module (supporting GNSS, Beidou, or other satellite positioning systems); a data acquisition unit (connecting to sensors such as the machinery's hydraulic system and engine); a communication module (supporting 4 / 5G, LoRa, or satellite communications); and a control unit (performs data processing and command response). The terminal can be installed on construction equipment such as excavators, loaders, and pavers, or on operating devices such as agricultural tractors and drones, enabling equipment location tracking, operational data statistics, and remote control through a cloud platform.

[0023] Interactive device: It has network communication capabilities, data storage capabilities and an interface for communicating with the controller. Its core function is to realize the request, reception, transmission and verification feedback of calibration data.

[0024] The technical solution of the present invention is described in detail below through the accompanying drawings and specific embodiments. It should be understood that the embodiments of the present invention and the specific features in the embodiments are detailed descriptions of the technical solution of the present invention, rather than limitations on the technical solution of the present invention. In the absence of conflict, the embodiments of the present invention and the technical features in the embodiments can be combined with each other.

[0025] The term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can mean: A exists alone, A and B exist simultaneously, or B exists alone. Additionally, the character " / " generally indicates an "or" relationship between the related objects. Example

[0026] like Figure 1 An embodiment shown in FIG. 1 provides a method for loading calibration data of key components of a fully electronic control system, including: Initiate a request to the cloud platform for calibration data of key components to be loaded. The calibration data includes: part code, batch number, current-pressure / flow characteristic table, original test sample points, fitting error statistics, hydraulic oil temperature and system pressure. The calibration data format is CSV, XML, JSON or binary format. After the cloud platform responds to the calibration data request, it retrieves the matching calibration data of key components to be loaded and downloads the retrieved calibration data to the controller via the vehicle terminal or interactive device, specifically including: like Figures 2 and 3 As shown, the retrieved calibration data is downloaded to the controller via the vehicle terminal, specifically including: Before the system is powered on, the entire machine should be assembled and the batch numbers of the required parts should be determined; the controller, instrument, and vehicle terminal should be pre-programmed and powered on, and the vehicle terminal should be bound to the entire machine; the controller, instrument, and vehicle terminal should communicate via the CAN bus, and the vehicle terminal and the cloud platform should communicate via the network; Input the batch number of the key parts to be loaded through the instrument, generate a calibration data request, and send the part number and start calibration command to the controller and vehicle terminal through the CAN bus; After receiving the relevant command signal, the vehicle terminal requests the corresponding calibration data from the cloud platform. After receiving the request, the cloud platform retrieves the calibration data file of the matching component parameters from the database and sends the calibration data file of the corresponding component parameters to the vehicle terminal. The vehicle terminal then sends the calibration data file to the controller in the agreed protocol format; After receiving the component parameters of each frame, the controller sends them back to the vehicle terminal for verification, stores the parameters in the controller storage area, completes the loading of the calibration data, and sends a confirmation signal to the vehicle terminal.

[0027] The instrument terminal provides intelligent associative search of batch numbers to reduce human errors. To address transmission reliability issues, a breakpoint resume mechanism is designed. When the network is interrupted, the on-board terminal records the frame number and accurately requests the missing frames after the network is restored to ensure complete data transmission.

[0028] like Figures 4 and 5 As shown, the retrieved calibration data is downloaded to the controller via the interactive device, specifically including: Before the system is powered on, the entire machine should be assembled and the batch numbers of the required parts should be determined; the controller and interactive devices should be pre-programmed and powered on. After powering on, the system should be in normal working condition, with the interactive devices communicating with the controller via the CAN bus and the interactive devices communicating with the cloud platform via the network; Open the calibration system of the interactive device and generate a calibration data request by scanning the code or manually entering the component batch number; When there is a network, the interactive device sends a data request instruction to the cloud platform. After receiving the request, the platform retrieves the matching component parameter data file from the database and sends the corresponding component parameter file to the interactive device. When there is no network, the interactive device can load the calibration data cached locally; The interactive device sends the component calibration parameters to the controller in a certain format. After receiving each frame of component parameters, the controller sends them back to the interactive device for verification and stores the parameters in the controller storage area. The calibration data is loaded and the controller verifies each frame and stores them.

[0029] The interactive device preloads part data into the local cache based on the LRU strategy, automatically compares the cloud version when connected to the network and prompts to update; builds an offline cache guarantee chain, automatically calculates the local file CRC checksum for integrity verification before loading, and forces an online update if the file is damaged; develops a weak network hybrid transmission protocol, and automatically switches to the "cloud metadata request + local cache main data" fusion mode when the signal strength is insufficient, greatly reducing the data transmission volume in a weak network environment and ensuring that calibration can be completed safely even in an unstable network environment.

[0030] After receiving the calibration data, the controller verifies it frame by frame and stores the verified calibration data in the controller storage area to complete the calibration data loading. After the loading is completed, the controller marks the calibration data as valid and sends a calibration data loading success confirmation signal to the instrument and the vehicle terminal via the CAN bus. Specifically, it includes: The frame-by-frame check includes: frame sequence number continuity check and CRC check. When the check fails, a NACK signal is sent through the CAN bus to accurately locate the retransmitted frame; after all frames are received, a secondary check is performed on the complete data set in the RAM buffer, and a full package reload is triggered in case of an abnormality.

[0031] The calibration data is provided by the manufacturer or obtained through the test bench and uploaded to the cloud platform for storage, specifically including: Abnormal data in the calibration data provided by the manufacturer is eliminated through outlier detection based on preset fluctuation thresholds or statistical models, and the calibration data is tested for the number of sample points and the size of the fitting error threshold; The verified calibration data is uploaded to the cloud platform using TLS / SSL encrypted channels. At the same time, the integrity of the calibration data is verified using a hash algorithm. For the calibration data uploaded to the cloud platform, a multi-dimensional index is built based on the device model, part number and batch number, and a unique identifier is assigned to each calibration data; The calibration data with unique identifiers is stored using a hot data / cold data tiered storage strategy, while supporting real-time incremental backup and version snapshots to provide dual guarantees for data reliability.

[0032] In addition, the platform's storage layer dynamically builds a multi-dimensional index centered around device model, part number, and batch number, assigning a unique identifier to each part calibration data to ensure traceability throughout its life cycle.

[0033] The cloud platform can deeply integrate an intelligent version tracking engine. When a new version of the same part is uploaded, it automatically compares the changes in key parameters. If the safety threshold is exceeded, the batch is marked in real time as requiring full machine re-inspection, and an alarm is pushed to the production system. All historical versions of the parts retain traceable snapshots and support one-click rollback to any stable version. Combined with the RBAC model, a permission defense chain is constructed: data access rights are finely controlled based on device model, component supplier, and user role. Example

[0034] like Figure 6 An embodiment shown in FIG. 1 is a system for loading calibration data of key components of a fully electronic control system, comprising: A controller, configured to receive and store calibration data and perform automatic calibration; Cloud platform, used for unified storage and management of calibration data and response to calibration data request instructions; The vehicle terminal is used to generate calibration data request instructions and send them to the cloud platform, and download calibration data from the cloud platform. Example

[0035] This embodiment provides a system for loading calibration data for key components of a fully electronic control system, including: A controller, configured to receive and store calibration data and perform automatic calibration; Cloud platform, used for unified storage and management of calibration data and response to calibration data request instructions; Interactive device for loading calibration data online or offline.

[0036] The present invention combines IoT technology with a cloud platform and utilizes dual loading paths for calibration data transmission and downloading, thereby realizing automatic calibration, efficient storage, rapid tracing, and flexible recovery of calibration data of key components of a fully electronic control system. The present invention overcomes the drawbacks of whole-machine calibration and realizes rapid calibration at the part level. The dual paths ensure rapid data loading in various scenarios. The two paths operate independently and back up each other. The specially designed offline / weak network loading capability of the interactive device (local cache, hybrid transmission protocol) effectively solves the calibration problem in complex environments such as no network and no on-board terminal, significantly enhancing scenario adaptability.

[0037] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, which are all protected by the present invention.

Claims

1. A method for loading calibration data of key components of a fully electronic control system, characterized in that: include: Initiate a request for key component calibration data to be loaded to the cloud platform, After responding to the calibration data request, the cloud platform retrieves the matching calibration data of key components to be loaded, and downloads the retrieved calibration data to the controller via the vehicle terminal or interactive device; After receiving the calibration data, the controller verifies the data frame by frame and stores the calibration data that passes the verification in the controller storage area, completing the loading of the calibration data.

2. The method for loading calibration data of key components of a fully electronic control system according to claim 1, characterized in that: The calibration data includes: part code, batch number, current-pressure / flow characteristic table, original test sample points, fitting error statistics, hydraulic oil temperature and system pressure; The calibration data format is CSV, XML, JSON or binary format.

3. The method for loading calibration data of key components of a fully electronic control system according to claim 1, characterized in that: The frame-by-frame check includes: frame sequence number continuity check and CRC check.

4. The method for loading calibration data of key components of a fully electronic control system according to claim 1, characterized in that: The calibration data is provided by the manufacturer or obtained through the test bench and uploaded to the cloud platform for storage, specifically including: Through the preset data quality screening mechanism, abnormal data in the calibration data provided by the manufacturer is eliminated, and the calibration data is verified for compliance; The verified calibration data is uploaded to the cloud platform through an encrypted channel. At the same time, the integrity of the calibration data is verified by a hash algorithm. For the calibration data uploaded to the cloud platform, a multi-dimensional index is built based on the device model, part number and batch number, and a unique identifier is assigned to each calibration data; The calibration data assigned with unique identifiers is stored using a hot data / cold data tiered storage strategy.

5. The method for loading calibration data of key components of a fully electronic control system according to claim 4, characterized in that: The retrieved calibration data is downloaded to the controller via the vehicle terminal, including: Input the batch number of the key components to be loaded through the instrument, generate a calibration data request and send it to the vehicle terminal; The vehicle terminal requests the corresponding calibration data from the cloud platform and sends the received calibration data to the controller according to the agreed protocol; The controller verifies the calibration data frame by frame and stores it, and sends a confirmation signal to the vehicle terminal.

6. The method for loading calibration data of key components of a fully electronic control system according to claim 4, characterized in that: The retrieved calibration data is downloaded to the controller via the interactive device, including: Input or scan the batch number of the key components to be loaded through the interactive device to generate a calibration data request; When there is a network, the interactive device downloads the corresponding calibration data from the cloud platform; When there is no network, the corresponding calibration data is loaded from the local cache; The interactive device sends the corresponding calibration data to the controller, which verifies it frame by frame and stores it.

7. The method for loading calibration data of key components of a fully electronic control system according to claim 4, characterized in that: The data quality screening mechanism includes: outlier detection based on fluctuation thresholds or statistical models; The compliance check includes: detecting the number of sample points and the size of the fitting error threshold.

8. A calibration data loading system for key components of a fully electronic control system, characterized in that: include: A controller, configured to receive and store calibration data and perform automatic calibration; Cloud platform, used for unified storage and management of calibration data and response to calibration data request instructions; The vehicle terminal is used to generate calibration data request instructions and send them to the cloud platform, and download calibration data from the cloud platform.

9. The calibration data loading system for key components of a fully electronic control system according to claim 8, characterized in that: include: Replace the interactive device set in the vehicle terminal and load calibration data online or offline.

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