Software and hardware synchronous updating driving device and slurry separation complete system

Abstract

The application provides a kind of hardware and software synchronous update driving device and sludge-water separation complete system, belongs to sludge-water separation equipment intelligent control technical field;The driving device of the application includes data acquisition unit, electric control driving unit, cloud communication unit and driving calibration unit;Data acquisition unit real-time synchronous acquisition equipment hardware operating parameter, field sludge-water condition parameter and system software operating parameter, electric control driving unit built-in version comparison model, working condition adaptation algorithm and standard parameter library, can be based on acquisition parameter research and judge software and hardware adaptation deviation and generate differentiated parameter update scheme;Among them, the electric control driving unit is configured with a small deviation real-time calibration, regular version silent iteration, major adaptation shutdown upgrade hierarchical update strategy, with breakpoint resume, encryption verification and fault rollback protection mechanism.The application realizes the full closed-loop intelligent update of equipment software and hardware, self-adaptive precise control of working condition, improves the stability and standardization of sludge-water separation operation.

Description

Technical Field

[0001] This invention provides a software and hardware synchronous update driver and a complete mud-water separation system, belonging to the field of intelligent control technology for mud-water separation equipment. Background Technology

[0002] Slurry-water separation equipment is widely used in municipal engineering, pile foundation construction, mine wastewater treatment, river dredging, and other fields. It is a core set of equipment for achieving solid-liquid separation of slurry and recycling of water resources. At present, the control systems of traditional slurry-water separation equipment have obvious technical defects, which seriously restrict the stability and intelligence level of equipment operation.

[0003] Currently, the hardware drive system and software control system of sludge-water separation equipment on the market operate independently. Long-term operation of the hardware leads to performance degradation issues such as transmission losses, pressure deviations, and reduced valve precision. Furthermore, the software control program version updates and parameter threshold iterations are poorly adapted to hardware operating conditions. Asynchronous software and hardware updates and low parameter matching can easily cause operational disruptions in processes such as feeding, separation, sludge discharge, and drainage. Simultaneously, traditional equipment lacks intelligent deviation assessment and tiered update mechanisms. Minor deviations in operating conditions cannot be calibrated in real time, routine software iterations require downtime, and major software and hardware adaptation upgrades lack standardized procedures. This not only reduces equipment operating efficiency but also easily leads to operational problems such as excessive effluent turbidity and incomplete sludge separation.

[0004] Furthermore, existing equipment lacks encryption verification and breakpoint resumption mechanisms for program updates, leading to frequent data tampering and transmission interruptions. It also lacks robust fault protection and rollback mechanisms, making it prone to equipment failure after software or hardware update failures, resulting in high maintenance costs and poor equipment stability. To address these shortcomings, there is an urgent need to design a drive and control scheme for sludge-water separation equipment that enables synchronous software and hardware iteration, adaptive adjustment under operating conditions, and safe and stable operation. Summary of the Invention

[0005] The purpose of this invention is to provide a software and hardware synchronous update drive device and a complete mud-water separation system, which solves the technical problems of asynchronous software and hardware updates, poor adaptability to working conditions, low update security, lack of fault protection, and low operation and maintenance efficiency of existing mud-water separation equipment. It realizes intelligent software and hardware updates in a closed loop and precise control of working conditions, thereby improving the stability and standardization of mud-water separation operations.

[0006] In order to solve the above problems, the technical solution proposed by the present invention is: a software and hardware synchronous update driver device, including a data acquisition unit, an electronic control drive unit, a cloud communication unit and a drive calibration unit; The data acquisition unit is used to collect the hardware operating parameters, on-site mud and water condition parameters, and system software operating parameters of the mud-water separation equipment in real time. The hardware operating parameters include hydraulic drive pressure, motor operating speed, transmission mechanism loss parameters, and valve opening and closing accuracy parameters. The mud and water condition parameters include feed mud and water solids content, mud viscosity, influent flow rate, and effluent turbidity. The software operating parameters include the program version of the electronic control drive unit, instruction output threshold, and parameter adjustment reference value. The electronic control drive unit has a built-in pre-trained version comparison model, working condition adaptation algorithm and standard parameter library. The electronic control drive unit is electrically connected to the data acquisition unit, the cloud communication unit and the drive calibration unit respectively, and is used to receive parameter data collected by each unit. The built-in model and algorithm are used to judge the software and hardware adaptation deviation and generate a differentiated parameter update scheme. The cloud communication unit is used to build a data interaction channel between the electric control drive unit and the cloud operation and maintenance terminal, so as to realize the downlink transmission of the adaptation program package and parameter update instructions, as well as the uplink archiving and storage of equipment operation data and software and hardware update data. The drive calibration unit is used to receive calibration commands output by the electronic control drive unit, and to perform closed-loop parameter calibration on the hardware mechanisms of the mud-water separation equipment, such as hydraulic drive, motor transmission, and valve actuation, to compensate for parameter offsets and performance losses caused by long-term operation of the hardware.

[0007] Furthermore, the electronic control drive unit has built-in hierarchical update control logic, which includes three execution strategies: real-time calibration for minor deviations, silent iteration for regular versions, and major adaptation shutdown upgrades. The electronic control drive unit can automatically match and execute the corresponding update strategy according to the deviation range of the software and hardware parameters.

[0008] Furthermore, the cloud communication unit integrates a breakpoint resume module and an encryption verification module. The breakpoint resume module is used to ensure the integrity and continuity of program package transmission, while the encryption verification module is used to encrypt and verify the update program and adaptation parameters to avoid data loss or data tampering.

[0009] Furthermore, the electronically controlled drive unit is also equipped with a fault protection module, which is used to monitor the progress of software and hardware updates, parameter matching status and hardware response status in real time. When faults such as update failure, parameter adaptation anomaly, and hardware response timeout are detected, the update interruption protection mechanism is triggered, automatically reverting to the previous version of stable software and hardware parameters, and pushing fault warning information to the cloud operation and maintenance terminal.

[0010] Furthermore, a complete mud-water separation system includes a mud-water separation host, a material conveying module, a hydraulic drive module, a cloud-based operation and maintenance terminal, and the aforementioned software and hardware synchronous update drive device. The software and hardware synchronous update drive device is connected to the mud-water separation host, the material conveying module, the hydraulic drive module, and the cloud-based operation and maintenance terminal, respectively, to realize the fully closed-loop automated control of the complete set of equipment, including parameter acquisition, synchronous software and hardware updates, and adaptive adjustment of operating conditions.

[0011] Furthermore, the method for synchronously updating the software and hardware of the sludge-water separation system includes the following steps: S1. Multi-dimensional parameter synchronous acquisition: The hardware operating parameters of the mud-water separation equipment, the on-site mud-water condition parameters, and the system software operating parameters are collected in real time through the data acquisition unit. S2. Intelligent analysis of hardware and software compatibility: The electric control drive unit compares the various parameters collected in real time with the preset standard parameter library, calculates the hardware drive deviation value and the software compatibility deviation value respectively, and combines the real-time mud and water working condition parameters to determine the hardware and software update requirements and generate differentiated parameter update schemes. S3. Hierarchical and synchronous iterative update of software and hardware: Based on the differentiated parameter update scheme, the closed-loop calibration and loss compensation of hardware operating parameters are completed through the drive calibration unit. At the same time, the control software version upgrade, regulation threshold iteration and working condition adaptation model update are completed synchronously through the cloud communication unit. During the update process, the matching degree of software and hardware parameters is verified in real time, and the adaptation deviation is dynamically fine-tuned and eliminated. S4. Adaptive linkage control of working conditions: Based on the synchronously updated software and hardware adaptation parameters, combined with the dynamic fluctuations of real-time mud and water working conditions, the feed rate, separation speed, hydraulic clamping force and mud and water discharge sequence of the mud and water separation host are adaptively adjusted to achieve stable, standardized and automated operation of mud and water separation. S5. Data closed-loop iterative optimization: Upload software and hardware update parameters, operating condition matching data, and core equipment operation indicators to the cloud operation and maintenance terminal for archiving. Based on the accumulated massive amount of operating data, iteratively optimize the version comparison model and operating condition adaptation algorithm to continuously improve the accuracy of software and hardware adaptation and the equipment operating condition adaptation capability.

[0012] Furthermore, step S2 specifically includes: S21. Pre-configure hardware parameter deviation thresholds and software version adaptation thresholds, calculate deviations for real-time collected hardware operating parameters, and generate hardware parameter calibration instructions when the hardware driver deviation value exceeds the preset threshold. S22. Compare the differences between the current software program version and control reference parameters of the device and the standard adaptation parameters. When the software adaptation deviation exceeds the preset threshold or there is a highly adaptable software iteration version, generate a software update instruction. S23. Optimize and update the solution based on real-time slurry conditions: Under conditions of high solids content and high viscosity slurry, prioritize optimizing hardware drive parameters and software pressure control thresholds; under conditions of low concentration slurry, prioritize optimizing hardware response accuracy and software flow control parameters.

[0013] Furthermore, step S3 specifically includes: S31. When the deviation of software and hardware parameters is ≤5%, it is judged as a minor deviation, and a calibration mode of real-time dynamic fine-tuning without stopping the equipment is adopted. S32. When 5% < hardware and software parameter deviation value ≤ 15% or the software has a small iterative update, it is judged as a regular version iteration and the device low-load silent update mode is adopted. S33. When the deviation of software and hardware parameters is greater than 15% or the equipment completes the replacement of hardware components or the upgrade of software architecture, it is judged as a major adaptation upgrade and the equipment short-term shutdown precise update mode is adopted. S34. During the software and hardware synchronization update process, a two-way real-time verification mechanism is executed. Each time the hardware parameter calibration is completed, the corresponding software control logic is matched immediately to completely eliminate the software and hardware parameter adaptation deviation.

[0014] Furthermore, step S4 specifically includes: after the software and hardware are updated synchronously, the system automatically generates a set of exclusive parameters that are adapted to the current equipment status and on-site working conditions; when the solid content of the mud and water increases, the hardware drive speed and hydraulic clamping force are increased synchronously and the software sludge discharge delay parameters are corrected; when the turbidity of the effluent exceeds the standard, the equipment feed rate is decreased synchronously and the software filtration control logic is optimized to achieve precise control of the entire mud-water separation process.

[0015] Furthermore, step S5 specifically includes: the cloud-based operation and maintenance terminal establishing a dedicated update and operation file for each device, archiving software and hardware update data, operating condition matching data, and device operating indicators one by one; iteratively optimizing the algorithm model based on massive archived data, and simultaneously pushing the optimized standard adaptation parameter package to devices of the same model in batches to achieve synchronous optimization and upgrade of software and hardware for batch devices; the multi-dimensional parameter synchronous acquisition frequency of the data acquisition unit is not less than 10Hz; the software update process adopts a breakpoint resume and encryption verification mechanism, and after the program update is completed, the system automatically performs three parameter matching self-checks to ensure the accuracy and stability of software and hardware adaptation; the working method integrates fault protection logic throughout: real-time monitoring of software and hardware update progress, parameter matching status, and hardware response status, and when faults such as update failure, parameter abnormality, and hardware response timeout are detected, the update process is immediately interrupted and rolled back to the previous stable operating parameters, while pushing fault warning information to the cloud-based operation and maintenance terminal.

[0016] Due to the adoption of the above technical solution, the beneficial effects of the hardware and software synchronous update drive device and mud-water separation system of the present invention are as follows: 1. This invention realizes the integrated synchronous update control of the hardware and software of the mud-water separation equipment. Through multi-dimensional parameter synchronous acquisition, intelligent deviation judgment, and hierarchical iterative update, it solves the problems of independent hardware and software updates, poor adaptability, and inaccurate compensation for parameter deviations in traditional equipment. It effectively offsets the performance loss of hardware during long-term operation, matches the optimal software control logic, and greatly improves the stability of equipment operation.

[0017] 2. This invention sets up a three-level differentiated update strategy, which adopts non-stop fine-tuning, low-load silent update and short-stop upgrade modes for minor deviations, regular iterations and major upgrades respectively. While ensuring update accuracy, it minimizes equipment downtime and improves equipment operation continuity and work efficiency.

[0018] 3. The cloud communication unit of this invention integrates a breakpoint resume and encryption verification module to prevent problems such as interruption of program packet transmission, data tampering, and data loss. Coupled with full-process fault protection and parameter rollback mechanism, it completely solves the security risks in the process of software and hardware updates and improves the security and reliability of equipment operation and maintenance.

[0019] 4. This invention can dynamically optimize and update the scheme and operating parameters according to the on-site solid content, viscosity, turbidity of the mud and water, etc., to achieve adaptive linkage control of the working conditions, adapt to different complex construction scenarios, and ensure standardized and high-precision operation of mud-water separation.

[0020] 5. This invention constructs a cloud-based data closed-loop iterative system. Through single-device dedicated file archiving and big data iterative optimization of algorithm models, it can achieve batch synchronous upgrades of devices of the same model, continuously optimize device control accuracy, reduce manual operation and maintenance costs, and significantly improve the level of intelligence and intensification. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a block diagram of the overall structure of the software and hardware synchronous update drive device in the complete mud-water separation system of the present invention. Figure 2 This is a schematic diagram of the overall architecture of the mud-water separation system in the software and hardware synchronous update driver device and mud-water separation system of the present invention. Figure 3 This is a flowchart of the overall process flow of the software and hardware synchronous update driver device and the software and hardware synchronous update driver method in the mud-water separation system of the present invention. Figure 4 This is a flowchart illustrating the hierarchical update strategy of the electronic control drive unit in the hardware and software synchronous update drive device and mud-water separation system of the present invention. Figure 5 This is a flowchart illustrating the software and hardware update fault protection and rollback mechanism in the software and hardware synchronous update driver device and mud-water separation system of the present invention. Detailed Implementation

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] Example 1: Hardware and software synchronous update driver device like Figure 1 As shown, this embodiment provides a hardware and software synchronous update drive device. The device consists of a data acquisition unit, an electronic control drive unit, a cloud communication unit, and a drive calibration unit. Each unit is electrically connected to the others to form a collaborative closed-loop control structure, which constitutes the core hardware architecture of the intelligent drive control of the mud-water separation equipment of this invention.

[0024] The data acquisition unit simultaneously collects three types of core parameters at a frequency of 10Hz to 100Hz, comprehensively covering all dimensions of equipment operation, on-site conditions, and software control data. Hardware operating parameters include hydraulic drive pressure, motor operating speed, transmission mechanism wear parameters, and valve opening and closing accuracy parameters; slurry operating parameters include feed slurry solids content, slurry viscosity, influent flow rate, and effluent turbidity; software operating parameters include the electric control drive unit program version, command output thresholds, and parameter adjustment benchmark values. This allows for comprehensive and real-time perception of equipment hardware wear status, on-site slurry operating condition fluctuations, and software control benchmark status.

[0025] The electronic control drive unit (ECU) is the core control hub of the device, internally equipped with a pre-trained version comparison model, operating condition adaptation algorithm, and standard parameter library. The ECU receives multi-dimensional parameters uploaded by the data acquisition unit in real time, automatically compares them with the standard parameter library data through its built-in model and algorithm, accurately identifies hardware drive deviations and software adaptation deviations, and intelligently generates differentiated parameter update and calibration schemes. Simultaneously, the ECU incorporates complete hierarchical update control logic, including three differentiated execution strategies: real-time calibration for minor deviations, silent iteration for regular versions, and shutdown upgrades for major adaptation issues. The system can automatically match the corresponding update mode based on the real-time calculated parameter deviation magnitude, requiring no manual intervention throughout the entire process.

[0026] The cloud communication unit is the core of data interaction between the device and the cloud-based operation and maintenance terminal of this invention, integrating a breakpoint resume module and an encryption verification module. During the downlink transmission of program packages and update commands, the breakpoint resume module can accurately identify transmission interruption points and resume interrupted data when resuming transmission, avoiding overall retransmission and ensuring the continuity and integrity of large program file transmissions. The encryption verification module uses the AES encryption algorithm to encrypt the update program and adaptation parameters. The receiving end of the device automatically completes data integrity and authenticity verification, effectively avoiding problems such as data loss and malicious tampering, and ensuring data interaction security. At the same time, the cloud communication unit can realize stable uplink archiving and storage of device operation data and software and hardware update log data, establishing a two-way, secure, and reliable cloud data channel.

[0027] The electronically controlled drive unit is also equipped with a dedicated fault protection module, which monitors the progress of software and hardware updates, parameter matching status, and the response status of hardware actuators in real time throughout operation. When fault conditions such as program update failure, abnormal software and hardware parameter adaptation, or hardware mechanism response timeout are detected, the update interruption protection mechanism is immediately triggered to terminate the current update process in a timely manner and automatically revert to the previous stable software and hardware operating parameters, ensuring that the equipment does not stop or crash. At the same time, the module can accurately capture the fault type, fault location, and fault occurrence time, and push complete fault early warning information to the cloud operation and maintenance terminal to realize proactive fault reporting and remote early warning.

[0028] The drive calibration unit is a hardware parameter calibration execution terminal. It can accurately receive calibration instructions issued by the electronic control drive unit and carry out closed-loop parameter calibration operations on the hydraulic drive mechanism, motor transmission mechanism, and valve actuator of the mud-water separation equipment. It accurately compensates for performance degradation problems such as hydraulic pressure deviation, motor speed loss, and valve opening and closing accuracy decay caused by long-term continuous operation of the equipment. It realizes the accurate reset and optimization of the equipment hardware operating parameters and ensures that the hardware execution accuracy always matches the software control benchmark.

[0029] Example 2: Sludge-water separation system like Figure 2 As shown, this embodiment provides a complete mud-water separation system. The main body of the system consists of a mud-water separation host, a material conveying module, a hydraulic drive module, a cloud operation and maintenance terminal, and a software and hardware synchronous update drive device as described in Embodiment 1, forming an integrated, intelligent closed-loop mud-water separation operation system.

[0030] The hardware and software synchronous update drive unit establishes stable communication and electrical connections with the sludge-water separation host, material conveying module, hydraulic drive module, and cloud-based operation and maintenance terminal, serving as the intelligent control core of the entire system and coordinating the operation and iterative updates of all equipment. Specifically, the material conveying module is responsible for the quantitative conveying and material diversion of the sludge to be treated; the hydraulic drive module provides stable hydraulic power for the sludge-water separation host's compaction, screening, and sludge discharge actions; and the sludge-water separation host is responsible for completing the core processes of sludge solid-liquid separation, clear water discharge, and sludge collection.

[0031] The entire system relies on the drive device to achieve fully closed-loop automated control. It can autonomously complete the entire process of real-time acquisition of multi-dimensional equipment parameters, synchronous iterative update of software and hardware parameters, adaptive and precise control of complex mud and water working conditions, automatic protection and cloud early warning of updated faults, and cloud archiving and iterative optimization of operating data. It completely solves the defects of traditional mud and water separation complete system, such as disconnect between software and hardware control, poor adaptability to working conditions, cumbersome manual operation and maintenance, and insufficient equipment operation stability.

[0032] Example 3: Software and Hardware Synchronous Update Driver Working Method like Figure 3-5 As shown, this embodiment provides a software and hardware synchronous update driving method for the above-mentioned mud-water separation system. It is based on the hardware architecture of the aforementioned system and achieves synchronous update of equipment software and hardware and adaptive control of operating conditions through a standardized and closed-loop iterative process. Specifically, it includes five core steps from S1 to S5.

[0033] S1. Multi-dimensional parameter synchronous acquisition: The system uses a data acquisition unit to collect equipment hardware operating parameters, on-site mud and water working condition parameters, and system software operating parameters in real time and synchronously at a acquisition frequency of no less than 10Hz, fully covering equipment operating status and working environment information, providing accurate and real-time data support for subsequent intelligent analysis and parameter optimization.

[0034] S2. Intelligent Assessment of Hardware and Software Compatibility: The system pre-defines hardware parameter deviation thresholds and software version compatibility thresholds within the electronic control drive unit. During operation, it first calculates the deviation of the real-time collected hardware operating parameters. When the hardware drive deviation exceeds the preset threshold, a hardware parameter calibration command is automatically generated. Simultaneously, it compares the differences between the current software program version, control reference parameters, and standard adaptation parameters. When the software adaptation deviation exceeds the standard or a highly compatible iterative version exists, a software update command is generated. The system combines the actual on-site working conditions with differentiated optimization and update schemes. Under high solids content and high viscosity slurry conditions, it prioritizes optimizing hardware drive power parameters and software pressure control thresholds to adapt to high-load separation operations. Under low concentration slurry conditions, it prioritizes optimizing hardware response accuracy and software flow control parameters to ensure refined separation results.

[0035] S3. Hierarchical and Synchronous Iterative Updates for Software and Hardware: The system executes a three-tiered differentiated update strategy based on the magnitude of parameter deviations. When the software and hardware parameter deviation is ≤5%, it is considered a minor deviation, and a real-time dynamic fine-tuning mode is adopted to correct parameters without affecting normal operation. When the software and hardware parameter deviation is ≤15% or there is a minor software iteration update, it is considered a regular version iteration, and a low-load silent update mode is adopted to complete software iteration and parameter fine-tuning under low equipment load. When the software and hardware parameter deviation is >15% or the equipment has undergone hardware component replacement or software architecture upgrade, it is considered a major adaptation upgrade, and a short-stop precise update mode is adopted to quickly complete the overall software and hardware adaptation upgrade. A two-way real-time verification mechanism is executed throughout the update process. After each hardware parameter calibration is completed, the corresponding software control logic is immediately matched to completely eliminate software and hardware adaptation deviations.

[0036] S4. Adaptive and Interlocking Control Based on Operating Conditions: After the hardware and software are updated synchronously, the system automatically generates a set of exclusive parameters adapted to the current equipment wear status and on-site sludge and water conditions, achieving dynamic and interlocking control. When the solid content of the sludge and water on-site increases, the system synchronously increases the hardware drive speed and hydraulic clamping force, and synchronously corrects the software sludge discharge delay parameters to adapt to the separation requirements of high solid content sludge. When the turbidity of the equipment effluent exceeds the standard or the separation accuracy does not meet the standard, the system synchronously decreases the equipment feed rate, optimizes the software filtration control logic, reduces the equipment operating load, improves the solid-liquid separation accuracy, and achieves precise and interlocking control throughout the entire sludge and water separation process.

[0037] S5. Data Closed-Loop Iterative Optimization: The cloud-based operation and maintenance terminal establishes an independent and dedicated update and operation file for each device, archiving device hardware and software update data, operating condition matching data, and core operating indicators line by line. Based on massive amounts of archived operating data, the cloud platform continuously iterates and optimizes the built-in version comparison model and operating condition adaptation algorithm. After optimization, the latest standard adaptation parameter package is pushed to devices of the same model in batches, realizing synchronous optimization and upgrade of batch devices.

[0038] This working method is equipped with a comprehensive safety self-check and fault protection mechanism: the data acquisition frequency is kept constant at no less than 10Hz; the software update process uses breakpoint resume and encryption verification mechanisms to prevent transmission anomalies and data tampering; after each program update, the system automatically performs three parameter matching self-checks to ensure the accuracy of software and hardware compatibility. The system monitors the update progress, parameter matching status, and hardware response status in real time. Upon identifying faults such as update failure, parameter anomalies, and response timeouts, the update process is immediately interrupted, the system reverts to the previous stable operating parameters, and pushes fault warning information to the cloud, comprehensively ensuring the stability and security of system operation.

[0039] The present invention and its embodiments have been described above. This description is not restrictive. In short, if a person skilled in the art is inspired by this description and designs a similar structure and embodiment without departing from the spirit of the present invention, such design should fall within the protection scope of the present invention.

Claims

1. A software and hardware synchronous update driver device, characterized in that, It includes a data acquisition unit, an electronic control drive unit, a cloud communication unit, and a drive calibration unit; The data acquisition unit is used to collect the hardware operating parameters, on-site mud and water condition parameters, and system software operating parameters of the mud-water separation equipment in real time. The hardware operating parameters include hydraulic drive pressure, motor operating speed, transmission mechanism loss parameters, and valve opening and closing accuracy parameters. The mud and water condition parameters include feed mud and water solids content, mud viscosity, influent flow rate, and effluent turbidity. The software operating parameters include the program version of the electronic control drive unit, instruction output threshold, and parameter adjustment reference value. The electronic control drive unit has a built-in pre-trained version comparison model, working condition adaptation algorithm and standard parameter library. The electronic control drive unit is electrically connected to the data acquisition unit, the cloud communication unit and the drive calibration unit respectively, and is used to receive parameter data collected by each unit. The built-in model and algorithm are used to judge the software and hardware adaptation deviation and generate a differentiated parameter update scheme. The cloud communication unit is used to build a data interaction channel between the electric control drive unit and the cloud operation and maintenance terminal, so as to realize the downlink transmission of the adaptation program package and parameter update instructions, as well as the uplink archiving and storage of equipment operation data and software and hardware update data. The drive calibration unit is used to receive calibration commands output by the electronic control drive unit, and to perform closed-loop parameter calibration on the hardware mechanisms of the mud-water separation equipment, such as hydraulic drive, motor transmission, and valve actuation, to compensate for parameter offsets and performance losses caused by long-term operation of the hardware.

2. The software and hardware synchronization update driver device according to claim 1, characterized in that, The electronic control drive unit has built-in hierarchical update control logic, which includes three execution strategies: real-time calibration for minor deviations, silent iteration of regular versions, and major adaptation shutdown upgrades. The electronic control drive unit can automatically match and execute the corresponding update strategy according to the deviation of the software and hardware parameters.

3. The software and hardware synchronization update driver device according to claim 1, characterized in that, The cloud communication unit integrates a breakpoint resume module and an encryption verification module. The breakpoint resume module is used to ensure the integrity and continuity of the program package transmission, and the encryption verification module is used to encrypt and verify the update program and adaptation parameters to avoid data loss or data tampering.

4. The software and hardware synchronization update driver device according to claim 1, characterized in that, The electronically controlled drive unit is also equipped with a fault protection module, which is used to monitor the progress of software and hardware updates, parameter matching status and hardware response status in real time. When faults such as update failure, parameter adaptation anomaly, and hardware response timeout are detected, the update interruption protection mechanism is triggered, automatically reverting to the previous version of stable software and hardware parameters, and pushing fault warning information to the cloud operation and maintenance terminal.

5. A complete mud-water separation system, characterized in that, It includes a mud-water separation host, a material conveying module, a hydraulic drive module, a cloud-based operation and maintenance terminal, and a software and hardware synchronous update drive device as described in any one of claims 1-4; The software and hardware synchronous update drive device is connected to the mud-water separation host, the material conveying module, the hydraulic drive module, and the cloud-based operation and maintenance terminal, respectively, to realize the fully closed-loop automated control of the complete set of equipment, including parameter acquisition, synchronous software and hardware updates, and adaptive adjustment of operating conditions.

6. A method for synchronously updating and driving the software and hardware of the mud-water separation system according to claim 5, characterized in that, Includes the following steps: S1. Multi-dimensional parameter synchronous acquisition: The hardware operating parameters of the mud-water separation equipment, the on-site mud-water condition parameters, and the system software operating parameters are collected in real time through the data acquisition unit. S2. Intelligent analysis of hardware and software compatibility: The electric control drive unit compares the various parameters collected in real time with the preset standard parameter library, calculates the hardware drive deviation value and the software compatibility deviation value respectively, and combines the real-time mud and water working condition parameters to determine the hardware and software update requirements and generate differentiated parameter update schemes. S3. Hierarchical and synchronous iterative update of software and hardware: Based on the differentiated parameter update scheme, the closed-loop calibration and loss compensation of hardware operating parameters are completed through the drive calibration unit. At the same time, the control software version upgrade, regulation threshold iteration and working condition adaptation model update are completed synchronously through the cloud communication unit. During the update process, the matching degree of software and hardware parameters is verified in real time, and the adaptation deviation is dynamically fine-tuned and eliminated. S4. Adaptive linkage control of working conditions: Based on the synchronously updated software and hardware adaptation parameters, combined with the dynamic fluctuations of real-time mud and water working conditions, the feed rate, separation speed, hydraulic clamping force and mud and water discharge sequence of the mud and water separation host are adaptively adjusted to achieve stable, standardized and automated operation of mud and water separation. S5. Data closed-loop iterative optimization: Upload software and hardware update parameters, operating condition matching data, and core equipment operation indicators to the cloud operation and maintenance terminal for archiving. Based on the accumulated massive amount of operating data, iteratively optimize the version comparison model and operating condition adaptation algorithm to continuously improve the accuracy of software and hardware adaptation and the equipment operating condition adaptation capability.

7. The software and hardware synchronous update driver working method according to claim 6, characterized in that, Step S2 specifically includes: S21. Pre-configure hardware parameter deviation thresholds and software version adaptation thresholds, calculate deviations for real-time collected hardware operating parameters, and generate hardware parameter calibration instructions when the hardware driver deviation value exceeds the preset threshold. S22. Compare the differences between the current software program version and control reference parameters of the device and the standard adaptation parameters. When the software adaptation deviation exceeds the preset threshold or there is a highly adaptable software iteration version, generate a software update instruction. S23. Optimize and update the solution based on real-time slurry conditions: Under conditions of high solids content and high viscosity slurry, prioritize optimizing hardware drive parameters and software pressure control thresholds; under conditions of low concentration slurry, prioritize optimizing hardware response accuracy and software flow control parameters.

8. The software and hardware synchronous update driver working method according to claim 6, characterized in that, Step S3 specifically includes: S31. When the deviation of software and hardware parameters is ≤5%, it is judged as a minor deviation, and a calibration mode of real-time dynamic fine-tuning without stopping the equipment is adopted. S32. When 5% < hardware and software parameter deviation value ≤ 15% or the software has a small iterative update, it is judged as a regular version iteration and the device low-load silent update mode is adopted. S33. When the deviation of software and hardware parameters is greater than 15% or the equipment completes the replacement of hardware components or the upgrade of software architecture, it is judged as a major adaptation upgrade and the equipment short-term shutdown precise update mode is adopted. S34. During the software and hardware synchronization update process, a two-way real-time verification mechanism is executed. Each time the hardware parameter calibration is completed, the corresponding software control logic is matched immediately to completely eliminate the software and hardware parameter adaptation deviation.

9. The software and hardware synchronous update driver working method according to claim 6, characterized in that, Step S4 specifically includes: after the software and hardware are updated synchronously, the system automatically generates a set of exclusive parameters that are adapted to the current equipment status and on-site working conditions; when the solid content of the mud and water increases, the hardware drive speed and hydraulic clamping force are increased synchronously and the software sludge discharge delay parameters are corrected; when the turbidity of the effluent exceeds the standard, the equipment feed rate is decreased synchronously and the software filtration control logic is optimized to achieve precise control of the entire mud-water separation process.

10. The software and hardware synchronous update driver working method according to claim 6, characterized in that, Step S5 specifically includes: the cloud-based maintenance terminal establishing a dedicated update and operation file for each device, archiving software and hardware update data, operating condition matching data, and device operating indicators one by one; iteratively optimizing the algorithm model based on massive archived data, and simultaneously pushing the optimized standard adaptation parameter package to devices of the same model in batches to achieve synchronous optimization and upgrade of software and hardware for batch devices; the multi-dimensional parameter synchronous acquisition frequency of the data acquisition unit is not less than 10Hz; the software update process adopts a breakpoint resume and encryption verification mechanism, and after the program update is completed, the system automatically performs three parameter matching self-checks to ensure the accuracy and stability of software and hardware adaptation; the working method integrates fault protection logic throughout: real-time monitoring of software and hardware update progress, parameter matching status, and hardware response status; when faults such as update failure, parameter abnormality, and hardware response timeout are detected, the update process is immediately interrupted and rolled back to the previous stable operating parameters, while pushing fault warning information to the cloud-based maintenance terminal.

Images