Modular intermediate frequency power supply intelligent scheduling device and system

Abstract

This invention discloses a modular medium-frequency power supply intelligent dispatching device and system, specifically relating to the fields of power electronics and intelligent control technology. It includes a data acquisition module, a data analysis and strategy generation module, an intelligent dispatching decision module, an instruction processing and execution module, and a human-machine interaction and remote management module. Through multi-model fusion analysis using efficiency optimization models, lifetime prediction models, and system redundancy rules, a preliminary dispatching strategy is generated. This strategy is then iteratively optimized based on a global performance evaluation to form the final dispatching instruction, achieving a comprehensive goal of matching load demand, optimizing system efficiency, and balancing module lifetime. The device integrates a main control unit, a data acquisition interface unit, an instruction output and drive unit, a human-machine interaction unit, a remote communication unit, and a power isolation unit. This invention effectively improves the overall system operating efficiency, achieves intelligent dispatching, and ensures system stability and power quality through time-sequential safety control.

Description

Technical Field

[0001] This invention relates to the field of power electronics and intelligent control technology, and more specifically, to a modular medium-frequency power supply intelligent scheduling device and system. Background Technology

[0002] Modular intermediate frequency (IF) power supply systems are widely used in industrial heating, induction melting, and special power supplies due to their scalability, high reliability, and ease of maintenance. These systems typically consist of multiple IF power modules operating in parallel, connected to a common output bus to supply power to the load. To ensure reliable system operation and match load demand, reasonable scheduling and control of each module are necessary. In existing technologies, modular IF power supply systems mostly adopt a parallel operation architecture, using multiple standardized power modules to work collaboratively to meet load demands in different scenarios. Their scheduling methods are primarily based on fixed logic or a single objective, without dynamic adjustment based on system health and load changes. Furthermore, the scheduling strategies lack quantitative assessment and balanced control of power module lifespan degradation.

[0003] Existing intelligent dispatching devices and systems for medium-frequency power supplies have met basic dispatching requirements, but they still have some shortcomings in practical use:

[0004] The scheduling objective is singular and lacks global optimization: Existing methods focus on meeting load requirements but fail to comprehensively consider multiple objectives such as system operating efficiency, module lifespan balance, and redundancy reliability. For example, keeping many modules running under light load will lead to increased fixed losses and reduced overall system efficiency.

[0005] Lack of intelligent lifespan prediction and balanced management: Existing solutions typically do not integrate module-level health status monitoring and lifespan prediction models, and cannot make quantitative assessments based on parameters such as the module's historical load, temperature rise, and cumulative operating time, which leads to premature failure of some medium-frequency power supply modules within the system, affecting overall availability and maintenance costs.

[0006] The redundancy mechanism is rigid and the resource utilization rate is low: The N+K redundancy design is adopted to improve reliability. The existing scheduling strategy often statically retains K modules as cold backups or hot backups, and fails to dynamically adjust the number of running modules according to the real-time load and the principle of optimal efficiency.

[0007] The scheduling process may introduce system disturbances: When adjusting the power of the intermediate frequency power module, improper timing control can easily cause sudden changes in bus voltage, increased circulating current, or impact on sensitive loads. Existing technologies do not adequately consider the timing control of the command execution process and lack a sound safety verification and closed-loop feedback mechanism, which affects the transient stability and power quality of the system.

[0008] Therefore, there is an urgent need for a modular medium-frequency power management system that can integrate multiple objectives such as efficiency optimization, lifespan balance, and redundancy reliability, and can achieve intelligent decision-making and stable scheduling, in order to overcome the above-mentioned shortcomings of existing technologies. Summary of the Invention

[0009] In order to overcome the above-mentioned defects of the prior art, the present invention provides a modular intermediate frequency power supply intelligent scheduling device and system, which solves the problems mentioned in the background art through the following solutions.

[0010] To achieve the above objectives, the present invention provides the following technical solution: a modular intermediate frequency power supply intelligent scheduling system, comprising:

[0011] Data acquisition module: Electrically connects the parallel-running intermediate frequency power supply modules to the output bus, and is used to collect parameters of each intermediate frequency power supply module in real time. The parameters include operating status parameters and bus load demand parameters.

[0012] Data Analysis and Strategy Generation Module: The communication connection data acquisition module is used to receive and process the parameters of the intermediate frequency power supply module, and perform analysis and calculation based on the preset efficiency optimization model, life prediction model and system redundancy rules to generate a preliminary scheduling strategy that meets the current load requirements.

[0013] Intelligent scheduling decision module: It is connected to the data analysis and strategy generation module, receives the preliminary scheduling strategy, and performs a global performance evaluation of the scheduling strategy in combination with the real-time global status of the system and the dynamic optimization objectives, and generates the final scheduling decision instruction. The final scheduling decision instruction must simultaneously meet the comprehensive objectives of bus load requirements, optimal system efficiency, and balanced working life among intermediate frequency power supply modules.

[0014] Instruction processing and execution module: It communicates with the data analysis and strategy generation module and each intermediate frequency power supply module, converts the preliminary scheduling strategy into timing-controllable control instructions, and sends them to the corresponding intermediate frequency power supply modules for scheduling.

[0015] Human-computer interaction and remote management module: It connects the intelligent scheduling decision module and the instruction processing and execution module, and provides a local operation interface, medium frequency power module status, parameter configuration entry, and has a remote communication interface to support cloud data interaction and the reception and feedback of remote scheduling instructions.

[0016] Preferably, the modular intermediate frequency power supply intelligent scheduling device specifically includes:

[0017] Main control unit: Employs a high-performance embedded processor to run the algorithm programs of the data analysis and strategy generation module and the intelligent scheduling decision module, and completes the calculation of efficiency optimization model and lifetime prediction model and global scheduling decision;

[0018] Data acquisition interface unit: includes multiple analog signal input interfaces and digital communication interfaces, used to connect Hall current sensors, voltage sampling circuits and status outputs of each intermediate frequency power supply module, and for the electrical connection and signal conditioning functions of the data acquisition module;

[0019] Command output and drive unit: includes digital output interface, timing controller and drive circuit, used to convert the final scheduling decision command into timing controllable switch quantity or analog quantity control signal, drive the intermediate frequency power supply module to perform start-stop and power regulation;

[0020] Human-machine interaction unit: integrates a touch screen, physical buttons and status indicator lights, and provides a local operation interface for displaying system status, alarm information and receiving parameter configuration input;

[0021] Remote communication unit: integrates industrial Ethernet, supports MQTT protocol, and is used for data interaction with cloud platform and receiving remote scheduling instructions;

[0022] Power supply and isolation unit: Provides stable and isolated operating power to each unit inside the device, and implements electrical isolation between data acquisition and control loops for system safety and anti-interference.

[0023] The technical effects and advantages of this invention are as follows:

[0024] 1. This invention solves the problem of single scheduling objective in existing technologies by integrating efficiency optimization models, lifetime prediction models and system redundancy rules, and combining them with the global performance evaluation function of the intelligent scheduling decision module (integrating load, efficiency and lifetime balance weights). Compared with traditional single-objective scheduling, the overall system performance is significantly improved.

[0025] 2. The life prediction model based on the damage accumulation principle of this invention can accurately quantify the module life consumption rate. During scheduling, modules with low life consumption are given priority for operation, realizing peak shaving and valley filling balanced regulation, improving intelligent life balance management and reducing maintenance costs.

[0026] 3. This invention adopts the N+K dynamic redundancy rule, which dynamically calculates the maximum number of allowed running modules based on the current total number of healthy modules and real-time load requirements, rather than statically retaining redundant backups. This design solves the problem of rigidity in traditional redundancy mechanisms. Under the premise of meeting system reliability requirements, it adjusts the number of running modules by combining an efficiency optimization model to improve the utilization rate of redundant resources.

[0027] 4. The instruction processing and execution module of this invention solves the problems of bus voltage sudden change and circulating current impact caused by insufficient traditional scheduling timing control by using a timing arrangement of stop-start and power gradual change, combined with triple safety checks of state consistency, power boundary and redundancy, as well as real-time monitoring and closed-loop feedback during the execution process, thus ensuring the transient stability of the system and power quality. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the overall system structure of the present invention.

[0029] Figure 2 This is a schematic diagram of the data acquisition module structure of the present invention.

[0030] Figure 3 This is a schematic diagram of the data analysis and strategy generation module structure of the present invention.

[0031] Figure 4 This is a schematic diagram of the intelligent scheduling decision module structure of the present invention.

[0032] Figure 5 This is a schematic diagram of the instruction processing and execution module of the present invention.

[0033] Figure 6 This is a schematic diagram of the human-computer interaction and remote management module structure of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.

[0035] Please see Figures 1-6 As shown, this embodiment of the invention provides a modular intermediate frequency power supply intelligent scheduling system, comprising:

[0036] Data acquisition module: Electrically connects the parallel-running intermediate frequency power supply modules to the output bus, and is used to collect parameters of each intermediate frequency power supply module in real time. The parameters include operating status parameters and bus load demand parameters.

[0037] Data Analysis and Strategy Generation Module: The communication connection data acquisition module is used to receive and process the parameters of the intermediate frequency power supply module, and perform analysis and calculation based on the preset efficiency optimization model, life prediction model and system redundancy rules to generate a preliminary scheduling strategy that meets the current load requirements.

[0038] Intelligent scheduling decision module: It is connected to the data analysis and strategy generation module, receives the preliminary scheduling strategy, and performs a global performance evaluation of the scheduling strategy in combination with the real-time global status of the system and the dynamic optimization objectives, and generates the final scheduling decision instruction. The final scheduling decision instruction must simultaneously meet the comprehensive objectives of bus load requirements, optimal system efficiency, and balanced working life among intermediate frequency power supply modules.

[0039] Instruction processing and execution module: It communicates with the data analysis and strategy generation module and each intermediate frequency power supply module, converts the preliminary scheduling strategy into timing-controllable control instructions, and sends them to the corresponding intermediate frequency power supply modules for scheduling.

[0040] Human-computer interaction and remote management module: It connects the intelligent scheduling decision module and the instruction processing and execution module, and provides a local operation interface, medium frequency power module status, parameter configuration entry, and has a remote communication interface to support cloud data interaction and the reception and feedback of remote scheduling instructions.

[0041] The data acquisition module electrically connects the parallel-operating intermediate frequency power modules to the output bus, and is used to collect parameters of each intermediate frequency power module in real time. The parameters include operating status parameters and bus load requirement parameters.

[0042] The data acquisition process can be divided into three stages: physical connection and signal conditioning stage, parameter synchronous acquisition stage, and data preprocessing and uploading stage.

[0043] A101: Physical Connection and Signal Conditioning Stage

[0044] The electrical connection is configured such that a Hall effect current sensor and voltage sampling circuit are installed at the output terminal of each parallel-operating intermediate frequency power module to directly measure its output current. and voltage I;

[0045] The same sensor is deployed at the total output terminal of the output bus to measure the total output voltage of the system. and total output current This is a direct physical quantity representing the bus load requirement parameters; the sensor's output signal is connected to the input of the data acquisition module via an isolated digital sensor interface.

[0046] Status signals are input via a digital communication interface, such as an optocoupler-isolated CAN bus, connected to the status output of each intermediate frequency power module for data acquisition.

[0047] Module power-on / off status, running / fault / alarm flags, internal key component temperatures, input voltage / current, fault codes, etc.

[0048] Signal conditioning and isolation involves conditioning analog signals from current and voltage sensors, including filtering, amplification, and attenuation, to match the range of the acquisition device.

[0049] Implement electrical isolation to ensure safe isolation between the high-voltage main circuit and the low-voltage acquisition and control circuit, prevent common-mode voltage from damaging the equipment, and improve anti-interference capability.

[0050] A102: Parameter Synchronization Acquisition Phase

[0051] Operational status parameter acquisition: Electrical parameters, synchronously acquiring the output voltage of the intermediate frequency power supply module at a fixed sampling rate. Output current Calculate the instantaneous output power of each intermediate frequency power supply module. ;

[0052] Status parameters: Periodically read the digital status information and internal data of each intermediate frequency power supply module; Key operating data: Collect the operating frequency, efficiency, and thermal load of the intermediate frequency power supply module.

[0053] Bus load requirement parameter acquisition: Synchronous sampling of the total voltage of the output bus and total current Calculate the total output power of the system. The total output power value is the real-time load demand of the current system, while monitoring the stability and waveform quality of the bus voltage.

[0054] Timestamps and synchronization: All synchronously acquired data points are stamped with a unified timestamp, which forms the basis for subsequent analysis modules such as power allocation, phase relationship and harmonic analysis.

[0055] A103: Data Preprocessing and Uploading Stage

[0056] Data preprocessing: Based on the original sampled values, derived parameters are calculated, and the performance indicators of each intermediate frequency power supply module are calculated in real time, including:

[0057] Instantaneous output power of each intermediate frequency power module Total system power ;

[0058] The deviation between the current of each intermediate frequency power module and the average current is the load distribution imbalance.

[0059] Cumulative operating time of each intermediate frequency power supply module;

[0060] Data validity verification checks whether the data is within a reasonable range, and marks outliers or uses the previous valid value as a temporary substitute.

[0061] Data encapsulation and uploading: The operating status parameters of each intermediate frequency power module and the bus load requirement parameters of the system are encapsulated according to the communication protocol and data timestamp;

[0062] The encapsulated data is periodically and with low latency sent to the data analysis and strategy generation module via the high-speed communication interface RS485.

[0063] Local caching and fault emergency response: The intermediate frequency power supply module should have a data cache area to temporarily store historical data for fault tracing or network interruption. When a complete communication interruption of a power supply module is detected, a communication loss alarm should be generated immediately and its status marked as unknown for the decision-making module to handle.

[0064] A104: Data Acquisition Module Output

[0065] The final output of the data acquisition module is a structured real-time data packet, each... The system periodically provides data reports to the data analysis module every millisecond, including:

[0066] state array Includes N parallel intermediate frequency power supply modules: real-time electrical parameters , , Working status (Running / Standby / Fault), Health Status Indicators (temperature Efficiency, cumulative running time System-level load parameters Total bus voltage Total current Total power System overall status indicators, such as bus overvoltage and undervoltage alarms.

[0067] The data analysis and strategy generation module is connected to the data acquisition module and is used to receive and process the parameters of the intermediate frequency power supply module. Based on the preset efficiency optimization model, life prediction model and system redundancy rules, it performs analysis and calculation to generate a preliminary scheduling strategy that meets the current load requirements.

[0068] This module runs a periodic calculation loop, with its input being structured real-time data packets sent by the data acquisition module, and its output being a preliminary scheduling strategy.

[0069] B101: Data Reception and Verification

[0070] Receive structured data packets from the data acquisition module via the communication interface and parse them to obtain:

[0071] State arrays of each intermediate frequency power supply module : Output power including intermediate frequency power supply module Working status Health status indicators ,temperature Cumulative running time System load parameters Includes total bus power requirements. ;

[0072] Data validity verification and fusion: Check the integrity and timeliness of data packets, discarding data that has seriously timed out or has verification errors; quantify the received total power requirements. With the output power of each intermediate frequency power module The summed values ​​are cross-validated to ensure data consistency, and faulty or communication-interrupted intermediate frequency power modules are marked and excluded from this scheduling calculation.

[0073] B102: Calculating the optimal number of operating intermediate frequency power supply modules based on an efficiency optimization model

[0074] Under the premise of meeting the load requirements, determine the number of intermediate frequency power supply modules that maximize the overall system efficiency. The model input should be the total load requirement. The rated power of each intermediate frequency power supply module is Total system losses With the number of intermediate frequency power supply modules in operation The changes and losses mainly include fixed losses and losses that vary with the load.

[0075] B1021: Single intermediate frequency power supply module under load The loss modeling is as follows:

[0076] ,in Indicates fixed losses, This represents the equivalent loss resistance.

[0077] B1022: When When the load is shared equally among all intermediate frequency power modules, the total system loss is modeled as follows:

[0078]

[0079] The goal of achieving optimal efficiency is to find the intermediate frequency power supply module that minimizes total losses. :

[0080]

[0081] in This indicates the optimal number of intermediate frequency power supply modules required for operation, satisfying the constraints. .

[0082] B103: Evaluation of the Health and Aging Balance of Medium Frequency Power Modules Based on Lifespan Prediction Model

[0083] Predicting the lifespan of intermediate frequency power modules provides a quantitative basis for lifespan balancing; the lifespan prediction model takes into account the historical load sequence and temperature of the intermediate frequency power module. Cumulative running time A lifetime prediction model based on damage accumulation is used to evaluate the intermediate frequency power supply module.

[0084] Calculation of intermediate frequency power supply module Power at the current operating point With temperature Lifespan consumption rate :

[0085]

[0086] in This represents the parameters of the lifespan prediction model, which are formulated based on the historical lifespan of intermediate frequency power modules. Indicates the current output current of the intermediate frequency power supply module, This indicates the rated current of the current intermediate frequency power supply module.

[0087] B104: Determining the operational quantity boundary based on system redundancy rules

[0088] Rule input, preset redundancy mode is medium frequency power module Calculate the total number of current health modules. ;for Redundancy requires that the number N of intermediate frequency power supply modules put into operation must meet the following conditions. The maximum number of operating intermediate frequency power supply modules is:

[0089]

[0090] in This indicates the maximum number of intermediate frequency power supply modules currently allowed to be put into operation.

[0091] B105: Multi-model fusion analysis and preliminary scheduling strategy generation

[0092] Considering the constraints of efficiency, lifespan, and redundancy, a specific start-up and shutdown scheme for the intermediate frequency power supply modules and a power allocation scheme are generated to determine the range of the number of operating intermediate frequency power supply modules. At the same time ensure If not satisfied, then increase Until satisfied;

[0093] Selecting intermediate frequency power supply modules for scheduling: From the pool of healthy intermediate frequency power supply modules, prioritize those with the highest lifespan consumption rate. Lower-level modules are put into operation for peak shaving and valley filling lifespan balancing;

[0094] In all possible From the various combinations, select one set of operating intermediate frequency power supply modules. This minimizes the difference between the average aging degree of the intermediate frequency power supply modules within the set and the average aging degree of all healthy modules.

[0095] Example: Calculate the initial scheduling strategy for power allocation, based on load current sharing for optimal efficiency scheduling. Assuming the selected intermediate frequency power modules have consistent performance, the power allocated to the intermediate frequency power modules is as follows. If the performance differences between intermediate frequency power supply modules are taken into account, a weighting coefficient can be introduced. Make fine adjustments: .

[0096] B106: Strategy Encapsulation and Output

[0097] The results of the above preliminary scheduling strategy are then encapsulated in a structured manner, the structured encapsulation including:

[0098] Recommended list of intermediate frequency power module IDs for commissioning: Target output power values ​​for each operating intermediate frequency power supply module: ;

[0099] The communication output sends the preliminary scheduling strategy to the intelligent scheduling decision module for global evaluation, and simultaneously sends it to the instruction processing and execution module for rapid response.

[0100] The intelligent scheduling decision module is communicatively connected to the data analysis and strategy generation module. It receives the preliminary scheduling strategy and, in conjunction with the real-time global status of the system and the dynamic optimization objectives, performs a global performance evaluation of the scheduling strategy and generates a final scheduling decision instruction. The final scheduling decision instruction must simultaneously meet the comprehensive objectives of bus load requirements, optimal system efficiency, and balanced working life among intermediate frequency power supply modules.

[0101] C101: Policy Reception and Global State Convergence

[0102] Receive the preliminary scheduling policy and receive data packets from the data analysis and policy generation module, which contain a list of recommended intermediate frequency power module IDs for commissioning. and the target output power value of the intermediate frequency power supply module ;

[0103] It gathers real-time global status, power input side status, input voltage fluctuations, frequency anomalies, and harmonic content to define the stable operating boundary of the intermediate frequency power module.

[0104] Load status, whether there is any warning information about the start or stop of sensitive downstream loads, such as the start of intermediate frequency power modules, and the dynamic response requirements of the load;

[0105] Analysis of dynamic optimization objectives: Obtain the currently active dynamic optimization objectives from the intermediate frequency power supply module, wherein the dynamic optimization objectives include... ,in This indicates the default optimization target weight for the intermediate frequency power supply module. Indicates the target weights for optimizing the efficiency of the intermediate frequency power supply module. This represents the target weight for optimizing the lifespan of the intermediate frequency power supply module.

[0106] C102: Constructing a Global Performance Evaluation Model

[0107] The comprehensive objective of satisfying load, optimal efficiency, and balanced lifetime is quantified into a computable evaluation function. The evaluation function for this comprehensive objective quantification is defined as follows:

[0108]

[0109] in , , These are three sub-costs: load, efficiency, and lifetime balancing.

[0110] The three sub-costs need further explanation, including the load tracing cost. : Measure whether the strategy can accurately and stably meet load requirements:

[0111]

[0112] in Indicates penalty power deviation, Indicates punishment for bus voltage fluctuations, and Indicates the weight.

[0113] Efficiency Cost This is used to measure the difference between the system efficiency under the initial scheduling strategy and the optimal efficiency.

[0114]

[0115] in This indicates that the single intermediate frequency power supply module is in temperature range. With load The losses below.

[0116] Lifetime equilibrium cost This is used to compensate for uneven aging among intermediate frequency power supply modules.

[0117]

[0118] in The standard deviation of the aging degree A of the operating intermediate frequency power supply module is represented by... The intermediate frequency power supply module with the highest aging level is responsible for the average power scheduling decision. This represents the penalty coefficient.

[0119] C103: Evaluation-Based Iterative Optimization and Decision Generation

[0120] Starting with the initial scheduling strategy, an evaluation function is searched under global constraints. A better final strategy; performance evaluation of the initial strategy, including the list of intermediate frequency power module IDs in the data packets. and the target output power value of the intermediate frequency power supply module Substitute into the evaluation function ;

[0121] Define decision variables and constraints. Decision variables include: the set of operating intermediate frequency power supply modules. Power allocation for each intermediate frequency power module The constraints must be satisfied. , , ;

[0122] Neighborhood disturbances, based on the initial scheduling strategy, involve replacing one running intermediate frequency power supply module with another standby intermediate frequency power supply module or fine-tuning the power distribution between two running intermediate frequency power supply modules.

[0123] Acceptance criteria: if the cost of the new strategy after perturbation is... If yes, accept; otherwise, regenerate the initial scheduling strategy.

[0124] The optimization process involves multiple iterations within a limited time to seek the optimal solution. Minimize M (final) and (final), and encapsulate the optimal solution obtained from the optimization process into the final scheduling decision instruction.

[0125] The instruction processing and execution module communicates with the data analysis and strategy generation module and each intermediate frequency power supply module, converts the preliminary scheduling strategy into timing-controllable control instructions, and sends them to the corresponding intermediate frequency power supply modules for scheduling.

[0126] D101: Command Reception, Parsing, and Security Verification

[0127] Receive the final scheduling decision instruction from the intelligent scheduling decision module, and parse the final scheduling decision instruction, which includes: Indicates the ID of the intermediate frequency power supply module to be started. op indicates the ID of the intermediate frequency power supply module to be shut down. Indicates that the intermediate frequency power supply module ID is kept running. Indicates the newly allocated target output power value, Indicates the execution sequence;

[0128] Security verification: Status consistency verification, comparing the status of the intermediate frequency power supply module in the command with the actual status of the intermediate frequency power supply module synchronously acquired by the data acquisition module; such as checking Check if the intermediate frequency power module in the OP is running to prevent accidental shutdown;

[0129] Boundary verification verifies the target power allocated in the command. Is it within the rated power allowable operating range?

[0130] Redundancy check: Confirms that after executing the stop and start commands, the system still meets the preset requirements. Redundant rules;

[0131] If any verification fails, execution is suspended, and a verification alarm is immediately sent to the intelligent scheduling decision module and the human-computer interaction module, requesting a re-decision or a correction instruction.

[0132] D102: Control Command Conversion and Timing Arrangement

[0133] The process of translating logical instructions into specific device control commands and arranging them into a time-sequential execution sequence requires further explanation regarding control command conversion:

[0134] For power adjustment commands, targeting and The intermediate frequency power supply module in the middle will convert the power value Convert the power value to an acceptable value for the intermediate frequency power module controller; for start / stop commands of the intermediate frequency power module, generate a soft start command frame or a soft shutdown command frame.

[0135] The timing-based orchestration generates a queue of timing control commands. To prevent drastic fluctuations in bus voltage, circulating currents, or surges, the timing control commands must be orchestrated according to the principles of stop-before-start and gradual power change. Further explanation is needed regarding the timing-based orchestration rules:

[0136] first step( ): Towards For intermediate frequency power modules that require reduced power, a new, lower power setting value is sent, and the power reduction can be executed immediately in parallel.

[0137] Step Two ( ):Towards The intermediate frequency power module in the op-amp sends a soft shutdown command and waits for a fixed shutdown energy discharge time. (50ms) is used for the safe disconnection of the output contactor of the intermediate frequency power supply module;

[0138] Step 3 ( ):Towards The intermediate frequency power module sends a soft-start command and synchronizes its output with the bus to establish synchronization time. ;

[0139] Step 4 ):Towards Medium frequency power supply module and For intermediate frequency power modules requiring increased power, a new acceptable power value should be sent. Power increases must be performed sequentially or during off-peak hours to minimize the impact on the total current to the bus. Set time interval. Send power increase commands one by one, eventually generating a time stamp. The timing instruction queue.

[0140] D103: Command Issuance, Execution Monitoring, and Closed-Loop Feedback

[0141] When the command is issued, the intermediate frequency power module has an embedded high-precision timer that controls the command queue according to the timing sequence and sends the command to the corresponding intermediate frequency power module controller.

[0142] The execution process is monitored by monitoring the data stream through the data acquisition module after the instruction is issued: whether the bus voltage fluctuates beyond the limit during start-up, shutdown, and power switching.

[0143] Target intermediate frequency power module state transition, Has the intermediate frequency power supply module successfully entered the operating state? Whether the intermediate frequency power module in the OP has successfully entered the standby state;

[0144] Target power tracking, actual output power of each intermediate frequency power module Does it keep up with the target power value? The system reports the execution status of the current scheduling instruction. Upon completion of the timing control instruction, an execution report is generated, which includes:

[0145] Execution result: Success, Partial success, Failure;

[0146] Final status comparison: Whether the actual power of each intermediate frequency power module matches the power required by the instruction;

[0147] Event logging: Record any exceptions, alarms, and remedial measures during instruction execution;

[0148] Performance indicators: overall completion time and bus voltage value of this dispatching operation.

[0149] Feedback loop: The execution report is sent to the intelligent scheduling decision module and the human-computer interaction and remote management module. It provides scheduling feedback to the intelligent scheduling decision module, enabling it to evaluate the effect of its own decisions in actual execution and optimize the decision model; and provides the human-computer interaction and remote management module with real-time and transparent execution status, which is convenient for operation and maintenance personnel to monitor.

[0150] The human-computer interaction and remote management module is communicatively connected to the intelligent scheduling decision module and the instruction processing and execution module. It is used to provide a local operation interface, the status of the intermediate frequency power supply module, and the parameter configuration entry, and has a remote communication interface to support cloud data interaction and the reception and feedback of remote scheduling instructions.

[0151] This module serves as the system's neural hub and interactive portal, responsible for transforming complex scheduling processes into understandable and operable information, and connecting the decision information of the intelligent scheduling decision module with the execution feedback of the instruction processing and execution module.

[0152] E101: Multi-source data convergence and fusion

[0153] Decision information is obtained by subscribing to the final decision from the intelligent scheduling decision module, such as the efficiency and lifespan balance calculation values ​​of the running intermediate frequency power supply module.

[0154] Execution and status information: Execution reports are received from the instruction processing and execution module, and real-time operating parameters, such as total system power, bus voltage, and current / temperature / status of each intermediate frequency power module, are received from the data acquisition module.

[0155] Align and correlate decision instructions, execution results, and real-time data on a timeline to display the reasons for the shutdown of the intermediate frequency power module.

[0156] E102: Implementation of Local Operation Interface

[0157] Status Overview Interface: A global dashboard that dynamically displays system health indicators such as total load, overall efficiency, current redundancy, and aging status;

[0158] Intermediate frequency power supply module view: The real-time status (running / standby / fault), power, current, temperature, and lifespan consumption of each power supply module are displayed in a list format.

[0159] Parameter configuration and management interface: Hierarchical permission management, setting different role permissions for operators, engineers, administrators, etc.; Policy parameter configuration: Allows users to adjust optimization goals and modify system redundancy rules. Value), set alarm threshold;

[0160] Medium frequency power supply module maintenance entry: Allows manual marking of the module as maintenance status, excluding it from automatic scheduling, and performing start / stop and power setting operations.

[0161] E103: Remote Communication and Cloud Interaction Implementation

[0162] Secure communication interface layer: Integrates the industrial protocol MQTT, and connects to the cloud center through a physically isolated remote communication interface;

[0163] Cloud data synchronization: The integrated system status data, alarm events, operation logs, and performance statistics reports are synchronized to the cloud according to a predetermined strategy;

[0164] Remote command reception: Commands sent from the cloud, such as starting a specific intermediate frequency power module, enter the security command buffer of the intermediate frequency power module. The intermediate frequency power module verifies the format and permissions of the command and converts it into an equivalent operation request within the system.

[0165] The request is forwarded as an external input to the intelligent scheduling decision module, which then incorporates it into the dynamic optimization objective or as a constraint. Through its own global evaluation process, it regenerates a safe, compliant, and optimal final scheduling instruction and feeds back the results of the local execution of the remote instruction to the cloud.

[0166] A modular intermediate frequency power supply intelligent scheduling device is an embedded hardware platform that integrates the functions of a data acquisition module, a data analysis and strategy generation module, an intelligent scheduling decision module, an instruction processing and execution module, and a human-computer interaction and remote management module to execute the scheduling tasks of the modular intermediate frequency power supply intelligent scheduling system. The device includes:

[0167] Main control unit: Employs a high-performance embedded processor to run the algorithm programs of the data analysis and strategy generation module and the intelligent scheduling decision module, and completes the calculation of efficiency optimization model and lifetime prediction model and global scheduling decision;

[0168] Data acquisition interface unit: includes multiple analog signal input interfaces and digital communication interfaces, used to connect Hall current sensors, voltage sampling circuits and status outputs of each intermediate frequency power supply module, and for the electrical connection and signal conditioning functions of the data acquisition module;

[0169] Command output and drive unit: includes digital output interface, timing controller and drive circuit, used to convert the final scheduling decision command into timing controllable switch quantity or analog quantity control signal, drive the intermediate frequency power supply module to perform start-stop and power regulation;

[0170] Human-machine interaction unit: integrates a touch screen, physical buttons and status indicator lights, and provides a local operation interface for displaying system status, alarm information and receiving parameter configuration input;

[0171] Remote communication unit: integrates industrial Ethernet, supports MQTT protocol, and is used for data interaction with cloud platform and receiving remote scheduling instructions;

[0172] Power supply and isolation unit: Provides stable and isolated operating power to each unit inside the device, and implements electrical isolation between data acquisition and control loops for system safety and anti-interference.

[0173] The modular intermediate frequency power supply intelligent scheduling device collects the operating parameters of each intermediate frequency power supply module and the system bus load parameters in real time through the data acquisition interface unit. After analysis and decision-making by the main control unit, it issues control commands through the command output and drive unit to realize the intelligent scheduling of intermediate frequency power supply modules. At the same time, it realizes local monitoring and remote management of system status through the human-machine interaction unit and the remote communication unit.

[0174] The modular intermediate frequency power supply intelligent scheduling device can be deployed in the control cabinet of the intermediate frequency power supply system and connected to each intermediate frequency power supply module through electrical and communication lines to form a complete modular intermediate frequency power supply intelligent scheduling system.

[0175] Secondly: The accompanying drawings of the embodiments disclosed in this invention only involve the structures involved in the embodiments disclosed in this invention. Other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of this invention can be combined with each other.

[0176] In conclusion, 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 principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A modular intermediate frequency power supply intelligent scheduling system, characterized in that, include: Data acquisition module: Electrically connects the parallel-running intermediate frequency power supply modules to the output bus, and is used to collect parameters of each intermediate frequency power supply module in real time. The parameters include operating status parameters and bus load demand parameters. Data Analysis and Strategy Generation Module: The communication connection data acquisition module is used to receive and process the parameters of the intermediate frequency power supply module, and perform analysis and calculation based on the preset efficiency optimization model, life prediction model and system redundancy rules to generate a preliminary scheduling strategy that meets the current load requirements. Intelligent scheduling decision module: It is connected to the data analysis and strategy generation module, receives the preliminary scheduling strategy, and performs a global performance evaluation of the scheduling strategy in combination with the real-time global status of the system and the dynamic optimization objectives, and generates the final scheduling decision instruction. The final scheduling decision instruction must simultaneously meet the comprehensive objectives of bus load requirements, optimal system efficiency, and balanced working life among intermediate frequency power supply modules. Instruction processing and execution module: It communicates with the data analysis and strategy generation module and each intermediate frequency power supply module, converts the preliminary scheduling strategy into timing-controllable control instructions, and sends them to the corresponding intermediate frequency power supply modules for scheduling. Human-computer interaction and remote management module: It connects the intelligent scheduling decision module and the instruction processing and execution module, and provides a local operation interface, medium frequency power module status, parameter configuration entry, and has a remote communication interface to support cloud data interaction and the reception and feedback of remote scheduling instructions.

2. The modular intermediate frequency power supply intelligent scheduling system according to claim 1, characterized in that, The data acquisition module specifically includes: Physical connection and signal conditioning, synchronous parameter acquisition, data preprocessing and uploading; The physical connection and signal conditioning are used to deploy Hall effect current sensors and voltage sampling circuits, connect each intermediate frequency power supply module and output bus, and perform signal conditioning and electrical isolation. The parameter synchronous acquisition is used to synchronously acquire the output electrical parameters, status information, and total voltage and total current of the output bus of each intermediate frequency power module at a fixed sampling rate. The data preprocessing and uploading process is used to calculate derived parameters and verify the validity of the collected raw data, and then encapsulate and upload it periodically according to the communication protocol.

3. The modular intermediate frequency power supply intelligent scheduling system according to claim 1, characterized in that, The data analysis and strategy generation module includes: The efficiency optimization model calculates the losses of a single intermediate frequency power supply module. and total system losses Find the number of operating intermediate frequency power supply modules that minimizes the total system loss. ; The lifespan prediction model is based on the damage accumulation principle. It takes the historical load sequence, temperature, and cumulative operating time of the intermediate frequency power module as input, and calculates the lifespan consumption rate of the intermediate frequency power module. .

4. The modular intermediate frequency power supply intelligent scheduling system according to claim 3, characterized in that, The data analysis and strategy generation module includes the following system redundancy rules: The default redundancy mode is the intermediate frequency power supply module. Redundancy: The maximum number of intermediate frequency power supply modules currently allowed to be put into operation must meet the following requirements. ,in This indicates the total number of currently healthy intermediate frequency power supply modules. This indicates the number of redundant intermediate frequency power supply modules. Considering the constraints of efficiency, lifespan, and redundancy, a preliminary scheduling strategy for the intermediate frequency power supply modules is generated.

5. The modular intermediate frequency power supply intelligent scheduling system according to claim 1, characterized in that, The intelligent scheduling decision module evaluates and optimizes the initial scheduling strategy by constructing a global performance evaluation function. Optimization objectives include load optimization objective weights. Efficiency optimization target weights Lifetime balance optimization objective weight ; The evaluation function of the global performance evaluation model is: The evaluation function is Includes load tracing costs Efficiency Cost Lifetime equilibrium cost ; The intermediate frequency power supply module searches for an evaluation function through iterative optimization starting with an initial scheduling strategy. A minimized set of operating intermediate frequency power modules and a power allocation scheme are used to generate the final scheduling decision instructions.

6. The modular intermediate frequency power supply intelligent scheduling system according to claim 1, characterized in that, The instruction processing and execution module performs the following: The received final scheduling decision instruction is subjected to security verification, including state consistency verification, power boundary verification, and redundancy verification. The verified instructions are converted into specific device control commands, and the timing is arranged according to the principle of stop before start and power gradual change to form a timing control command queue. The timing control command queue includes four execution steps: power down, soft shutdown, soft start, and power up, with a preset time interval between each step. 3; Control commands are issued according to the timing control command queue, and the execution process is monitored. An execution report containing execution results, status comparison and event records is generated and fed back to the intelligent scheduling decision module and the human-computer interaction and remote management module.

7. The modular intermediate frequency power supply intelligent scheduling system according to claim 1, characterized in that, The human-computer interaction and remote management module includes: It gathers and integrates decision information from the intelligent scheduling decision module, execution reports from the instruction processing and execution module, and real-time data from the data acquisition module; The local interface provides a system status overview, module details view, parameter configuration and manual maintenance entry, enables secure data synchronization between the remote communication interface and the cloud platform, receives cloud commands and executes them after internal verification and decision-making processes, and feeds back the execution results to the cloud.

8. The modular intermediate frequency power supply intelligent scheduling system according to claim 7, characterized in that, The local operation interface of the human-computer interaction and remote management module includes: The system includes a status overview interface, a medium-frequency power supply module view, and a parameter configuration and management interface, supporting hierarchical permission management. The remote communication interface integrates industrial Ethernet and supports the MQTT protocol.

9. A modular intermediate frequency power supply intelligent scheduling device, characterized in that, The modular intermediate frequency power supply intelligent scheduling device is used to execute the modular intermediate frequency power supply intelligent scheduling system according to any one of claims 1-8, comprising: Main control unit: Employs a high-performance embedded processor to run the algorithm programs of the data analysis and strategy generation module and the intelligent scheduling decision module, and completes the calculation of efficiency optimization model and lifetime prediction model and global scheduling decision; Data acquisition interface unit: includes multiple analog signal input interfaces and digital communication interfaces, used to connect Hall current sensors, voltage sampling circuits and status outputs of each intermediate frequency power supply module, and for the electrical connection and signal conditioning functions of the data acquisition module; Command output and drive unit: includes digital output interface, timing controller and drive circuit, used to convert the final scheduling decision command into timing controllable switch quantity or analog quantity control signal, drive the intermediate frequency power supply module to perform start-stop and power regulation; Human-machine interaction unit: integrates a touch screen, physical buttons and status indicator lights, and provides a local operation interface for displaying system status, alarm information and receiving parameter configuration input; Remote communication unit: integrates industrial Ethernet, supports MQTT protocol, and is used for data interaction with cloud platform and receiving remote scheduling instructions; Power supply and isolation unit: Provides stable and isolated operating power to each unit inside the device, and implements electrical isolation between data acquisition and control loops for system safety and anti-interference.

10. A modular intermediate frequency power supply intelligent scheduling device according to claim 9, characterized in that, The device is deployed in the control cabinet of the medium-frequency power supply system. It is electrically and communicatively connected to each parallel-operating medium-frequency power supply module through the data acquisition interface unit, command output and drive unit, forming a complete modular medium-frequency power supply intelligent scheduling system.

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