A system and method for adjusting frequency converter signals based on the internet of things

Abstract

This invention proposes a system and method for adjusting inverter signals based on the Internet of Things (IoT), relating to the field of industrial automation control technology. It utilizes IoT technology to achieve remote monitoring and intelligent control of IGBT inverters. Through a dual-channel system dynamic management information transmission mechanism, the interconnection between a first type of IoT terminal and the IGBT inverter serves as the transmission outlet and self-feedback channel for IGBT inverter frequency conversion information. Combined with the flattened system control signal flow mechanism of a second type of IoT terminal, and based on the operational requirements of IoT devices, a joint information processing mode of a cache module and a decision module is used. The central frequency conversion unit of the inverter provides the frequency conversion parameter basis, enabling users to dynamically manage the inverter's rectification function and achieve intelligent management of output signals from IoT devices such as temperature. Simultaneously, by applying the inverter to the IoT device field, it achieves technological improvements such as fault diagnosis and operation and maintenance management.

Description

Technical Field

[0001] This invention belongs to the new generation of information technology represented by the Internet of Things (IoT), and particularly relates to a system and method for adjusting inverter signals based on IoT. It also relates to the field of industrial automation control technology, using IoT technology to realize remote monitoring and intelligent control of IGBT inverters. Background Technology

[0002] IGBT frequency converters are one of the most widely used types of frequency converters, commonly found in various rectifiers or DC-AC conversion equipment and devices. With the rapid development of IoT technology, integrating IoT devices with frequency converters and exploring intelligent frequency conversion that aligns with equipment needs and management requirements is increasingly becoming a new trend.

[0003] The Internet of Things (IoT) technology embeds miniature units with sensing, computing, and communication capabilities within objects, enabling the capture and digitization of physical parameters. These parameters are then transmitted to higher-level nodes via wired or wireless means. After being compressed, correlated, and modeled layer by layer, the data drives end effectors, forming a closed loop of "sensing-transmission-computing-control". Its protocol stack typically covers lightweight physical layer modulation, low-power network access, time synchronization, dynamic routing, differential compression, and end-to-end encryption. The hardware integrates sensor arrays, radio frequency energy recovery, embedded MCUs, security elements, and OTA flash memory. Through a unified data model, heterogeneous descriptions are mapped into standardized key-value pairs, enabling cross-vendor command interoperability and remote lifecycle management.

[0004] On the application side, this technology is used to transform discrete equipment into continuous data nodes: factory machine tools attach triaxial micro-vibration and acoustic emission modules to the outer wall of the spindle, uploading feature vectors at sub-millisecond intervals; edge computing nodes use sliding window Fourier transform to extract wear fingerprints and trigger lubrication or tool change requests in advance; cold chain boxes are connected to the network through ultra-low power cold links, periodically transmitting temperature, humidity, and impact curves; if they deviate from the threshold, they automatically record timestamps and switch redundant cooling chips; urban underground parking garages use geomagnetic and ultrasonic dual-mode sensor nodes to monitor parking space occupancy, which is aggregated to the regional gateway via Sub-GHz Mesh; the platform dynamically adjusts the indicator light color and guidance path based on the arrival rate prediction function to reduce detour emissions; household gas meters have built-in ultrasonic metering and low-power NB modules to achieve remote reading of daily frozen data, while micro-valve drive circuits complete the shutdown at the moment of overcurrent, reducing the risk of leakage.

[0005] The future Internet of Things (IoT) is expanding in three directions: "passive sensing, edge computing, and semantic protocols." Passive nodes reduce power consumption to the microwatt level by rectifying radio frequency energy and backscattering it from the environment, enabling them to perform temperature sampling and other functions without batteries. This allows for millisecond-level anomaly detection without cloud access. The protocol layer can also evolve to a content name-centric network, replacing traditional IP addresses with self-verifying data packets. This ensures that mobile nodes maintain session continuity when switching base stations, while recording firmware hashes through a distributed ledger ensures that remote upgrade packages are auditable and non-rollbackable, providing a technological foundation for the subsequent deployment of high-density integrated sensing and control meshes over a wide area.

[0006] IGBT frequency conversion technology uses insulated gate bipolar transistors as the core switching device. Through periodic saturation-cutoff switching, it breaks down the fixed DC bus voltage into a discrete quantity with variable pulse width. After natural filtering by the inductive load, it is equivalent to a fundamental voltage with adjustable amplitude and frequency. On the control side, space vector modulation or specific harmonic cancellation algorithms are used to calculate the three-phase duty cycle in real time, mapping the commanded speed or torque into a switching angle sequence. The driver board provides ±15V gate charge and active Miller clamp to suppress crosstalk and overshoot caused by dv / dt. In terms of thermal design, a ceramic substrate is soldered to the back of the chip and pressed with aluminum wire. Combined with liquid cooling or air cooling heat sink, the junction temperature is maintained below 175°C, ensuring a power cycle life of hundreds of thousands of hours. The overall link includes rectification, bus thin film capacitors, braking unit, three-phase inverter, sampling resistor, isolation operational amplifier, resolver or magnetic encoder feedback, forming an electro-thermal-magnetic multi-physics closed loop to realize unidirectional or bidirectional flow of energy from mains power to variable frequency.

[0007] IGBT frequency converters are widely used in scenarios requiring speed regulation or energy saving: In HVAC systems, water pumps and fans convert 50Hz mains power to a 15-50Hz variable power supply via built-in IGBT modules, causing the motor speed to decrease linearly with temperature or pressure differences, shifting the cubic power consumption curve downwards to achieve low-flow operation at night; In rail transit, traction boxes use 3300V-level devices to drive asynchronous traction motors with a two-level topology, outputting constant torque during startup and switching to constant power after reaching the base speed, meeting the acceleration requirements of trains within the 0-80km / h range, and... Regenerative braking feeds kinetic energy back to the overhead contact line; industrial compressors use vector control to maintain constant air pressure, avoiding the throttling losses of traditional unloading valves, and some models incorporate a PFC front end to reduce the total harmonic distortion of the input current to below 5%, thus reducing the additional heat load on the same level distribution transformer; in terms of household appliances, the outdoor unit of the air conditioner uses DIP packaged IGBTs and bootstrap drive chips to form an inverter board, which divides the 310V bus voltage into a 30-120Hz sine wave at a 1kW power level to drive a permanent magnet synchronous compressor, achieving 1Hz low-frequency constant temperature dehumidification and millisecond-level rapid frequency increase cooling.

[0008] To further improve power density and efficiency, the R&D direction of IGBT frequency converters focuses on three dimensions: At the device level, the hybrid packaging of thick copper ceramic substrate and silicon carbide can increase the allowable junction temperature to 200℃ while reducing the on-state voltage drop by 0.2V, and increasing the single-chip current density by about 30% under 100kHz switching conditions; At the topology level, the three-level NPC and ANPC structures halve the device withstand voltage requirements through neutral point clamping, and with active gate drive technology, the gate resistance can be dynamically adjusted at the moment of commutation, which can reduce switching losses by 15% and suppress overvoltage; At the system level, model predictive control replaces traditional PI regulation, directly solving the optimal voltage vector in the discrete time domain, shortening the calculation cycle to 50µs. At the same time, active DC bus discharge and real-time junction temperature estimation are introduced. When thermal imbalance is detected, the carrier frequency is reduced or switched to derating operation mode in real time, providing technical reserves for the next generation of frequency converters with high switching frequency, high power density and long life.

[0009] In existing technologies, the control of frequency converters mainly takes the following forms: Local control mode: On-site control is achieved through the frequency converter's own operation panel or a connected PLC (Programmable Logic Controller). This method requires operators to be physically present at the equipment site and cannot achieve remote operation. Wired network control mode: The frequency converter is connected to a local area network or control system via wired communication methods such as Industrial Ethernet, Profibus, and Modbus. This method involves complex wiring, high costs, and poor flexibility, and is particularly suitable for geographically dispersed or mobile equipment (such as port cranes and remote pumping stations). Early wireless control mode: Communication is achieved using Wi-Fi, ZigBee, or 2G / 3G modules. Wi-Fi and ZigBee have limited communication distances and require base station deployment, making them unsuitable for large-scale, cross-regional industrial applications. 2G / 3G networks suffer from low speeds, high latency, and high power consumption, and their reliability and sustainability cannot be guaranteed as 2G / 3G networks are gradually phased out.

[0010] However, existing technologies also have some major drawbacks, summarized as follows: 1. Poor remote control capability: Local and wired modes struggle to achieve real-time monitoring and control of inverters in remote, dispersed, or hazardous environments. 2. High deployment and maintenance costs: Wired networks require complex cabling; early wireless network coverage and signal quality were poor, making maintenance difficult. 3. Limited data transmission capability: Low-speed networks cannot stably and quickly transmit real-time operating data (such as current, voltage, frequency, temperature, etc.) and fault waveforms of inverters, limiting the application of big data analysis and predictive maintenance. 4. Low level of intelligence: Existing systems are mostly simple "command-response" models, lacking intelligent strategy issuance, fault prediction, and energy efficiency optimization functions based on cloud-based big data analysis. 5. Poor system integration and scalability: Inverters from different manufacturers use different communication protocols, making centralized management and data fusion on a unified platform difficult.

[0011] Meanwhile, existing technology research reveals that many frequency conversion systems integrating network signals often manage IoT devices through frequency conversion or provide optimization services through the frequency conversion function of IoT devices. They lack integrated consideration of the frequency conversion information of both IoT devices and the frequency converter itself. Furthermore, they lack differentiation and coordination between application-oriented and management-oriented IoT devices during intelligent frequency conversion, and fail to explore and research further on performing system-level frequency conversion based on information collaboration among IoT devices. This results in current IoT device frequency conversion technologies merely focusing on refined device management, lacking system-level functional coordination and overall control, leading to less than ideal frequency conversion performance.

[0012] This invention proposes a system and method for inverter signal adjustment based on the Internet of Things (IoT). By setting up an IGBT-based inverter in an IoT device, and utilizing a dual-channel system dynamic management information transmission mechanism, the interconnection between a first type of IoT terminal and the IGBT inverter serves as both the transmission outlet and self-feedback channel for IGBT inverter frequency conversion information. Combined with the flattened system control signaling flow mechanism of a second type of IoT terminal, and based on the operational requirements and intelligent system management requirements of the IoT device, a joint information processing mode of the cache module and decision module provides frequency conversion parameter data for the central frequency conversion unit of the IGBT inverter module. This enables users to dynamically manage the inverter's rectification function and achieve intelligent management of output signals such as temperature from IoT devices. Simultaneously, it achieves technological improvements in applying inverters to the IoT device field, thereby realizing: 1. Breaking geographical limitations, enabling low-cost, high-reliability remote real-time monitoring and control of inverters associated with distributed IoT devices. 2. Overcoming the limitations of wired cabling, providing a flexible, plug-and-play communication solution. 3. Achieve high-speed, stable, and high-capacity uploading of inverter operating data, providing a data foundation for big data analysis and intelligent decision-making at the IoT end. 4. Enhance the intelligence level of inverter control, enabling condition-based adaptive control, predictive maintenance, and energy efficiency optimization. 5. Build a unified management platform compatible with inverters using multiple protocols, achieving centralized and visualized operation and maintenance management, and other related technical effects. Summary of the Invention

[0013] The present invention aims to provide a system and method for frequency converter signal adjustment based on the Internet of Things that is superior to the prior art.

[0014] To achieve the above objectives, the technical solution of the present invention is as follows:

[0015] A system and method for adjusting inverter signals based on the Internet of Things (IoT), the system comprising at least a first type of IoT terminal, a second type of IoT terminal, an IGBT inverter module, IoT collaborative middleware, a first information decision ring, and a second information decision ring, wherein:

[0016] The first information decision ring is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal;

[0017] The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal.

[0018] IoT collaboration middleware, which is used to perform collaborative control of a first type of IoT terminal and a second type of IoT terminal;

[0019] The first type of IoT terminal receives the original control information structure from the system user; and integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure.

[0020] The second type of IoT terminal stores the frequency conversion information of the IGBT inverter module and generates the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling.

[0021] The IGBT inverter module includes a cache module and a decision module. The cache module receives the frequency conversion information of the IGBT inverter module transmitted in its closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module. The decision module receives the information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling included therein, sets and updates the frequency conversion information of the IGBT inverter module in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter module for frequency conversion operation.

[0022] The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

[0023] Preferably, the IoT collaboration middleware for performing collaborative control of the first type of IoT terminal and the second type of IoT terminal includes at least:

[0024] The first type of IoT terminal integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure;

[0025] The original control information structure includes at least: the target steady-state code of the first type of IoT terminal; and the steady-state parameters of the first type of IoT terminal in the target steady state.

[0026] The frequency conversion information of the IGBT inverter module includes at least the IGBT inverter parameters that should be updated in the steady-state parameter-IGBT inverter parameter mapping table.

[0027] The first type of IoT terminal transmits the first control information structure to the second type of IoT terminal through the IoT collaboration middleware.

[0028] Preferably, the first information decision loop is used to perform information decisions between the IGBT inverter module and the first type of IoT terminal, specifically:

[0029] The first information decision ring provides the first rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the first type of Internet of Things terminal through the first sub-ring channel.

[0030] Furthermore, the first information decision ring provides a second rectification information interface for the IGBT inverter module, and transmits the frequency conversion information of the IGBT inverter module to its own cache module through the second sub-ring channel.

[0031] Preferably, the second information decision loop is used to perform information decisions between the IGBT inverter module and the second type of IoT terminal, specifically:

[0032] The second information decision ring provides a third rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the second type of IoT terminal through the third sub-ring channel.

[0033] Furthermore, the second information decision ring provides a fourth rectifier information interface for the IGBT inverter module, and also transmits the information collected by the second type of IoT terminal to the IGBT inverter's own cache module through the third sub-ring channel.

[0034] Preferably, the second type of IoT terminal stores the frequency conversion information of the IGBT inverter module, and generates the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling, specifically:

[0035] The IoT collaborative middleware collaborates and shares information with the first type of IoT terminal, and packages the first control information structure with the second flattened signaling to generate the second type of IoT terminal collected information, which is then sent to the IGBT inverter's own cache module.

[0036] Preferably, the first control information structure includes at least: the target steady-state code of the first type of IoT terminal; the steady-state parameters of the first type of IoT terminal in the target steady state; and a variable-stability mapping table between the steady-state parameters and the IGBT inverter parameters.

[0037] Furthermore, the target steady-state code of the first type of IoT terminal is a system-preset stable operating state code for IoT terminals, consisting of 8 binary digits with a minimum value of 0x001, used to characterize different stable operating states of the first type of IoT terminal.

[0038] Preferably, the steady-state parameters of the first type of IoT terminal in the target steady state are as follows:

[0039] When the first type of IoT terminal is in a specific stable operating state, its corresponding target steady-state code is obtained, and the first part of the fixed operating parameters corresponding to the first type of IoT target steady-state code is queried in the system management platform; at the same time, the second part of the real-time operating parameters corresponding to the first type of IoT target steady-state code are collected to form the steady-state parameters of the first type of IoT terminal in the target steady state.

[0040] The first type of IoT terminal can be a home IoT device such as an air conditioner or water heater used to set the temperature, or an industrial IoT facility used to set the power.

[0041] Preferably, the second flattened signaling includes out-of-band setting parameters for the IGBT inverter directly provided by the system user via a second type of IoT terminal, used to set the operating configuration of the IGBT inverter; the out-of-band setting parameters for the IGBT inverter include:

[0042] The frequency curve of the IGBT inverter is directly set and fixed, and cannot be modified by other signals.

[0043] The target voltage value of the IGBT frequency converter is directly set and fixed, and cannot be modified by other signals.

[0044] If the out-of-band setting parameters of the IGBT inverter conflict with parameters in other signaling or the first control information structure, then the out-of-band setting parameters of the IGBT inverter will be forced to be the target setting value to override the other conflicting parameter values.

[0045] The core of this invention lies in constructing an integrated intelligent control system. Preferably, the system can also be equipped with an IoT gateway connected to the device. This gateway has a built-in 4G communication module and integrates protocol conversion functions (such as converting industrial protocols like Modbus and Profibus to IoT protocols like MQTT / HTTP). Specifically, to further differentiate it from existing technologies, as another preferred embodiment that can be overlaid, the system layers may include: Network layer: Utilizing a widely covered 4G / 5G mobile communication network as a data transmission channel to achieve stable, high-speed, bidirectional data transmission between the device layer and the platform layer. Platform layer: An IoT cloud platform deployed on a cloud server, containing the following core modules: Device access and management module: Responsible for the access, authentication, lifecycle management, and online status monitoring of a large number of inverter gateways. Data acquisition and storage module: Receives and stores in real time the operating parameters (frequency, speed, current, voltage, temperature, etc.), status information, and alarm data from the inverters. Data Analysis and Intelligent Decision Engine: Based on machine learning algorithms, it analyzes historical and real-time data to achieve fault prediction (e.g., predicting overload risk based on current and temperature trends), energy efficiency analysis (identifying optimal operating frequency points), and equipment health assessment. Control Command Issuance Module: Receives commands from users or the intelligent decision engine and securely and reliably issues them to designated frequency converters. Visualization and Alarm Module: Provides a human-machine interface on a web platform and mobile app for data visualization, remote parameter setting, start / stop control, and supports multiple alarm methods such as SMS, email, and app push notifications. Application Layer (Edge / User): Users access the cloud platform via computers, mobile phones, and other terminals for remote monitoring and operation. In some scenarios, lightweight computing modules can be deployed at the "edge" close to the equipment (e.g., within a 4G gateway) to achieve rapid local decision-making and resume data transmission after network outages.

[0046] Simultaneously, this invention also proposes an IoT-based inverter signal adjustment method for use in any of the systems described above, the method comprising at least:

[0047] Step 1: The first information decision loop is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal;

[0048] Step 2: The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal;

[0049] Step 3: Use IoT collaboration middleware to perform collaborative control of the first type of IoT terminals and the second type of IoT terminals;

[0050] Step 4: Using a first type of IoT terminal, receive the original control information structure from the system user; integrate the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure;

[0051] Step 5: Use a second type of IoT terminal to store the frequency conversion information of the IGBT inverter module, and generate the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling.

[0052] Step Six: Using the cache module and decision module included in the IGBT inverter module, the cache module receives the frequency conversion information of the IGBT inverter module transmitted in its closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module; the decision module receives the information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling included therein, sets and updates the frequency conversion information of the IGBT inverter module in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter module for frequency conversion operation;

[0053] The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

[0054] Preferably, the system control method may also include the following specific steps: Device access and registration: After the inverter is powered on, it automatically connects to the IoT cloud platform through the 4G IoT gateway to complete identity authentication and device registration. Data reporting and monitoring: The inverter reports its operating data and status information to the cloud platform in real time through the 4G network according to a preset cycle or trigger conditions. Users can view the operating status of all online devices in real time on the visual interface. Remote control and parameter setting: Users issue control commands (such as start, stop, speed adjustment) or modify operating parameters (such as acceleration time, V / F curve) on the cloud platform interface. After being encapsulated by the cloud platform, the command is sent to the corresponding 4G gateway through the 4G network, and then forwarded by the gateway to the inverter for execution.

[0055] Furthermore, intelligent analysis and strategy delivery include: predictive maintenance: the intelligent decision engine analyzes data such as current and temperature, and when abnormal patterns are identified, it generates maintenance alarms in advance and can automatically execute protective commands (such as frequency reduction or shutdown); adaptive energy-saving control: the system automatically calculates and delivers the optimal operating frequency to the inverters based on load changes and historical energy efficiency data to achieve energy-saving operation; and group control strategy: for multiple inverters working collaboratively (such as multi-pump water supply systems), the cloud platform can intelligently calculate and deliver control commands separately according to the total demand to achieve the optimal efficiency of the overall system.

[0056] Fault Diagnosis and Alarms: When a frequency converter malfunctions, the fault code and instantaneous data are immediately reported to the cloud platform. The platform performs rapid diagnosis based on the fault database and immediately sends alarm information to relevant management personnel, while providing possible handling suggestions.

[0057] Meanwhile, the present invention also proposes a computer program product, which includes computer instructions that, when executed by a processor, perform the frequency converter signal adjustment method based on the Internet of Things as described above.

[0058] Compared with existing technologies, this invention has the following significant advantages: 1. High coverage and remote operation: Utilizing the Internet of Things (IoT) network, remote monitoring and maintenance of frequency converters in signal coverage areas are achieved, greatly expanding the control range. 2. Convenient deployment and low cost: No complex wiring is required, achieving "plug and play," significantly reducing the cost and time of equipment installation, commissioning, and subsequent relocation and expansion. 3. High-reliability data transmission: The IoT network and 4G / 5G networks provide stable connections with high bandwidth and low latency, ensuring reliable transmission of massive amounts of operational data and real-time control commands. 4. Intelligent and proactive operation and maintenance: Through big data and AI analysis at the IoT terminal, a shift from "passive maintenance" to "predictive adjustment" is achieved, reducing unplanned downtime and excessive rectification, and extending equipment lifespan. 5. High efficiency and energy saving: By optimizing operating strategies through intelligent algorithms, the frequency converter always operates in the high-efficiency range, effectively reducing energy consumption. 6. Centralized management and high scalability: A unified IoT collaborative middleware can be expanded to access and manage tens of thousands of frequency converters of different brands and models, achieving centralized operation and maintenance across regions and devices, with strong system scalability.

[0059] This invention proposes a system and method for frequency converter signal adjustment based on the Internet of Things (IoT). By setting up an IGBT-based frequency converter in an IoT device, and utilizing a dual-channel system dynamic management information transmission mechanism, the interconnection between a first type of IoT terminal and the IGBT frequency converter serves as both the transmission outlet and self-feedback channel for IGBT frequency converter information. Combined with the flattened system control signaling flow mechanism of a second type of IoT terminal, and based on the operational requirements and intelligent system management requirements of the IoT device, a joint information processing mode of a cache module and a decision module provides frequency conversion parameters to the central frequency conversion unit of the IGBT frequency converter module. This enables users to dynamically manage the frequency converter's rectification function, achieving intelligent management of output signals such as temperature from IoT devices, and simultaneously realizing a technological improvement in applying frequency converters to the field of IoT devices. Attached Figure Description

[0060] Figure 1 This is a basic example diagram of an IoT-based inverter signal adjustment system shown in this invention;

[0061] Figure 2 This is a basic example diagram illustrating the interconnection relationship between the first information decision loop and other modules in an IoT-based inverter signal adjustment system, as shown in this invention.

[0062] Figure 3 This is an example diagram showing the interconnection between the second information decision loop and other modules in the frequency converter signal adjustment system based on the Internet of Things, which is claimed in this invention.

[0063] Figure 4 This is one embodiment of the IoT-based inverter signal adjustment system claimed in this invention, which uses IoT collaborative middleware to perform collaborative control of a first type of IoT terminal and a second type of IoT terminal;

[0064] Figure 5 This is one of the specific embodiments of the frequency converter signal adjustment method based on the Internet of Things that is claimed in this invention. Detailed Implementation

[0065] The following describes in detail several embodiments and beneficial effects of the IoT-based inverter signal adjustment system and method claimed in this invention, in order to facilitate a more detailed examination and breakdown of this invention.

[0066] To better understand the technical solution of the present invention, the embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0067] It should be understood that the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without inventive effort are within the scope of protection of the present invention.

[0068] The terminology used in the embodiments of this invention is for the purpose of describing particular embodiments only and is not intended to limit the invention. The singular forms “a,” “the,” and “the” as used in the embodiments of this invention and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise.

[0069] It should be understood that the term "and / or" used in this article is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Additionally, the character " / " in this article generally indicates that the preceding and following related objects have an "or" relationship.

[0070] It should be understood that although the terms "first," "second," etc., may be used to describe the methods and corresponding apparatus in the embodiments of the present invention, these keywords should not be limited to these terms. These terms are only used to distinguish the keywords from each other. For example, without departing from the scope of the embodiments of the present invention, a first type of IoT terminal, a first control information structure, etc., may also be referred to as a second type of IoT terminal, a second control information structure, etc., and a second type of IoT terminal, a second control information structure, etc., may also be referred to as a first type of IoT terminal, a first control information structure.

[0071] Depending on the context, the word "if" as used here can be interpreted as "when," "when," "in response to determination," or "in response to detection." Similarly, depending on the context, the phrase "if determination" or "if detection (of the stated condition or event)" can be interpreted as "when determination," "in response to determination," "when detection (of the stated condition or event)," or "in response to detection (of the stated condition or event)."

[0072] As per the instruction manual Figure 1 -Appendix Figure 4 The diagram shown is a basic example of an IoT-based inverter signal adjustment system according to the present invention. As a preferred embodiment that can be superimposed, each node or module can preferably interconnect with other nodes or modules for data and command transmission. Of course, as another preferred embodiment that can be superimposed, some nodes may not have interconnection with some other nodes, or may be allowed to disable or enable interconnection with other nodes.

[0073] The system and method for adjusting inverter signals based on the Internet of Things (IoT) claimed in this invention, wherein the system includes at least a first type of IoT terminal, a second type of IoT terminal, an IGBT inverter module, an IoT collaborative middleware, a first information decision ring, and a second information decision ring, wherein:

[0074] The first information decision ring is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal;

[0075] The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal.

[0076] IoT collaboration middleware, which is used to perform collaborative control of a first type of IoT terminal and a second type of IoT terminal;

[0077] The first type of IoT terminal receives the original control information structure from the system user; and integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure.

[0078] The second type of IoT terminal stores the frequency conversion information of the IGBT inverter module and generates the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling.

[0079] The IGBT inverter module includes a cache module and a decision module. The cache module receives the frequency conversion information of the IGBT inverter module transmitted in its closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module. The decision module receives the information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling included therein, sets and updates the frequency conversion information of the IGBT inverter module in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter module for frequency conversion operation.

[0080] The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

[0081] As a preferred embodiment that can be superimposed, the IoT collaboration middleware for performing collaborative control of the first type of IoT terminal and the second type of IoT terminal includes at least:

[0082] The first type of IoT terminal integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure;

[0083] The original control information structure includes at least: the target steady-state code of the first type of IoT terminal; and the steady-state parameters of the first type of IoT terminal in the target steady state.

[0084] The frequency conversion information of the IGBT inverter module includes at least the IGBT inverter parameters that should be updated in the steady-state parameter-IGBT inverter parameter mapping table.

[0085] The first type of IoT terminal transmits the first control information structure to the second type of IoT terminal through the IoT collaboration middleware.

[0086] As per the instruction manual Figure 2 The diagram shown is a basic example of the interconnection relationship between the first information decision loop and other modules in the IoT-based inverter signal adjustment system of this invention. As another preferred embodiment that can be superimposed, the first information decision loop is used to perform information decisions between the IGBT inverter module and the first type of IoT terminal, specifically:

[0087] The first information decision ring provides the first rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the first type of Internet of Things terminal through the first sub-ring channel.

[0088] Furthermore, the first information decision ring provides a second rectification information interface for the IGBT inverter module, and transmits the frequency conversion information of the IGBT inverter module to its own cache module through the second sub-ring channel.

[0089] As per the instruction manual Figure 3 The diagram shown illustrates an example of the interconnection between the second information decision ring and other modules in the IoT-based inverter signal adjustment system claimed in this invention. As another preferred embodiment that can be overlaid, the second information decision ring is used to perform information decisions between the IGBT inverter module and the second type of IoT terminal, specifically:

[0090] The second information decision ring provides a third rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the second type of IoT terminal through the third sub-ring channel.

[0091] Furthermore, the second information decision ring provides a fourth rectifier information interface for the IGBT inverter module, and also transmits the information collected by the second type of IoT terminal to the IGBT inverter's own cache module through the third sub-ring channel.

[0092] As per the instruction manual Figure 4 The image shown is one embodiment of the IoT-based inverter signal adjustment system claimed in this invention, which uses IoT collaborative middleware to perform collaborative control of a first type of IoT terminal and a second type of IoT terminal.

[0093] As another preferred embodiment that can be superimposed, the second type of IoT terminal stores the frequency conversion information of the IGBT inverter module, and generates the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling, specifically:

[0094] The IoT collaborative middleware collaborates and shares information with the first type of IoT terminal, and packages the first control information structure with the second flattened signaling to generate the second type of IoT terminal collected information, which is then sent to the IGBT inverter's own cache module.

[0095] As another preferred embodiment that can be superimposed, the first control information structure includes at least: the target steady-state code of the first type of IoT terminal; the steady-state parameters of the first type of IoT terminal in the target steady state; and a variable-stability mapping table between the steady-state parameters and the IGBT inverter parameters.

[0096] Furthermore, the target steady-state code of the first type of IoT terminal is a system-preset stable operating state code for IoT terminals, consisting of 8 binary digits with a minimum value of 0x001, used to characterize different stable operating states of the first type of IoT terminal.

[0097] As another preferred embodiment that can be superimposed, the steady-state parameters of the first type of IoT terminal in the target steady state are specifically:

[0098] When the first type of IoT terminal is in a specific stable operating state, its corresponding target steady-state code is obtained, and the first part of the fixed operating parameters corresponding to the first type of IoT target steady-state code is queried in the system management platform; at the same time, the second part of the real-time operating parameters corresponding to the first type of IoT target steady-state code are collected to form the steady-state parameters of the first type of IoT terminal in the target steady state.

[0099] The first type of IoT terminal can be a home IoT device such as an air conditioner or water heater used to set the temperature, or an industrial IoT facility used to set the power.

[0100] As another preferred embodiment that can be overlaid, the second flattened signaling includes out-of-band setting parameters for the IGBT inverter directly assigned by the system user via a second type of IoT terminal, used to set the operating configuration of the IGBT inverter; the out-of-band setting parameters for the IGBT inverter include:

[0101] The frequency curve of the IGBT inverter is directly set and fixed, and cannot be modified by other signals.

[0102] The target voltage value of the IGBT frequency converter is directly set and fixed, and cannot be modified by other signals.

[0103] If the out-of-band setting parameters of the IGBT inverter conflict with parameters in other signaling or the first control information structure, then the out-of-band setting parameters of the IGBT inverter will be forced to be the target setting value to override the other conflicting parameter values.

[0104] Specifically, to further differentiate it from existing technologies, as another preferred embodiment that can be superimposed, the system also includes a management platform side. This management platform side is used to pre-set the operating parameters corresponding to the first type of IoT target steady-state code and the operating parameters corresponding to the second type of IoT target steady-state code. Simultaneously, the management platform side also directly stores, manages, and configures the out-of-band setting parameters of the IGBT inverters directly assigned by the system user via the second type of IoT terminal, as included in the second flattened signaling, and is responsible for controlling the power-on / off, enabling, and de-enabling of the IGBT inverter's own cache module.

[0105] The core of this invention lies in constructing an integrated intelligent control system. Specifically, to further differentiate it from existing technologies, as another preferred embodiment that can be overlaid, the system also includes an IoT gateway connected to the device. This gateway has a built-in 4G communication module and integrates protocol conversion functions (such as converting industrial protocols like Modbus and Profibus to IoT protocols like MQTT / HTTP). Specifically, to further differentiate it from existing technologies, as another preferred embodiment that can be overlaid, the system layers may include: Network layer: Utilizing a widely covered 4G / 5G mobile communication network as a data transmission channel to achieve stable, high-speed, bidirectional data transmission between the device layer and the platform layer. Platform layer: An IoT cloud platform deployed on a cloud server, containing the following core modules: Device access and management module: Responsible for the access, authentication, lifecycle management, and online status monitoring of a large number of inverter gateways. Data acquisition and storage module: Receives and stores in real time the operating parameters (frequency, speed, current, voltage, temperature, etc.), status information, and alarm data from the inverters. Data Analysis and Intelligent Decision Engine: Based on machine learning algorithms, it analyzes historical and real-time data to achieve fault prediction (e.g., predicting overload risk based on current and temperature trends), energy efficiency analysis (identifying optimal operating frequency points), and equipment health assessment. Control Command Issuance Module: Receives commands from users or the intelligent decision engine and securely and reliably issues them to designated frequency converters. Visualization and Alarm Module: Provides a human-machine interface on a web platform and mobile app for data visualization, remote parameter setting, start / stop control, and supports multiple alarm methods such as SMS, email, and app push notifications. Application Layer (Edge / User): Users access the cloud platform via computers, mobile phones, and other terminals for remote monitoring and operation. In some scenarios, lightweight computing modules can be deployed at the "edge" close to the equipment (e.g., within a 4G gateway) to achieve rapid local decision-making and resume data transmission after network outages.

[0106] Specifically, to further differentiate it from existing technologies, as another preferred embodiment that can be overlaid, the system control method includes the following steps: Device access and registration: After the inverter is powered on, it automatically connects to the IoT cloud platform through a 4G IoT gateway to complete identity authentication and device registration. Data reporting and monitoring: The inverter reports its operating data and status information to the cloud platform in real time through the 4G network according to a preset cycle or trigger conditions. Users can view the operating status of all online devices in real time on a visual interface. Remote control and parameter setting: Users issue control commands (such as start, stop, speed adjustment) or modify operating parameters (such as acceleration time, V / F curve) on the cloud platform interface. After being encapsulated by the cloud platform, the command is sent to the corresponding 4G gateway through the 4G network, and then forwarded by the gateway to the inverter for execution.

[0107] Furthermore, intelligent analysis and strategy delivery include: predictive maintenance: the intelligent decision engine analyzes data such as current and temperature, and when abnormal patterns are identified, it generates maintenance alarms in advance and can automatically execute protective commands (such as frequency reduction or shutdown); adaptive energy-saving control: the system automatically calculates and delivers the optimal operating frequency to the inverters based on load changes and historical energy efficiency data to achieve energy-saving operation; and group control strategy: for multiple inverters working collaboratively (such as multi-pump water supply systems), the cloud platform can intelligently calculate and deliver control commands separately according to the total demand to achieve the optimal efficiency of the overall system.

[0108] Fault Diagnosis and Alarms: When a frequency converter malfunctions, the fault code and instantaneous data are immediately reported to the cloud platform. The platform performs rapid diagnosis based on the fault database and immediately sends alarm information to relevant management personnel, while providing possible handling suggestions.

[0109] To further differentiate it from existing technologies, as another preferred embodiment that can be superimposed, taking a remote pumping station control system for a city's water supply network as an example, another specific implementation of the present invention is described: Hardware Deployment: In the frequency converter control cabinet of each water supply pumping station, an IoT gateway integrating IoT and 4G or 5G communication modules and protocol conversion functions is installed. This gateway is connected to multiple pump frequency converters in the pumping station via an RS485 interface. A "Water Supply Network" project is created on the IoT cloud platform, and equipment files are created for each pumping station's gateway and frequency converter, assigning a unique ID. A network map is drawn on the visualization interface, and each pumping station's equipment is bound to the map location. Monitoring parameters are set: such as outlet pressure, pump frequency, current, operating status, etc. Alarm rules are set: such as "outlet pressure below 0.3MPa", "motor current over limit", etc., and the alarm recipient's mobile phone number is bound.

[0110] During system operation, daily monitoring is implemented: dispatch center staff can view the operating pressure and frequency of all pumping stations in the city in real time on a large computer screen, eliminating the need for on-site inspections. Remote pressure regulation allows dispatchers to directly set target pressure values ​​for different pumping stations based on peak and off-peak water usage periods. Commands are sent via 4G / 5G networks, and the frequency converters automatically adjust pump speeds to stabilize pressure. Intelligent energy saving: The cloud platform analyzes nighttime water usage data. When total demand decreases, it automatically implements a "sleep" strategy, maintaining only the minimum pressure and intelligently shutting down some pumps to achieve peak shaving and valley filling, and energy-saving operation. Emergency fault response: If a pumping station's frequency converter reports an "overload" fault, the platform immediately displays an alarm and sends an SMS. Engineers view the current curve at the moment of the fault via a mobile app, initially determining it to be impeller jamming. They then notify on-site personnel and remotely start a backup pump, ensuring uninterrupted water supply.

[0111] By configuring a heterogeneous protocol-compatible IoT gateway and IoT collaboration middleware as core hardware, and incorporating multiple industrial protocol parsing libraries, it can collaboratively connect multiple IoT devices while adapting to different frequency converters and uniformly converting them into standard IoT protocols (such as MQTT) for transmission over 4G / 5G networks. Furthermore, a cloud-integrated intelligent control architecture is implemented: traditional local control logic is moved to the cloud, constructing a closed-loop control model of "data acquisition → cloud analysis → policy distribution." Simultaneously, predictive maintenance algorithms based on big data are used to train machine learning models on frequency converter operating data, establishing fault prediction models for early warning. Finally, a secure and reliable two-way communication mechanism ensures the security, integrity, and reliability of control commands during public network transmission, preventing command tampering or loss.

[0112] Simultaneously, this invention also proposes an IoT-based inverter signal adjustment method for use in any of the systems described above. (See attached specification.) Figure 5 The image shown is one specific embodiment of the IoT-based inverter signal adjustment method claimed in this invention. The method includes at least:

[0113] S102: The first information decision-making loop is used to execute the information decision between the IGBT inverter module and the first type of IoT terminal;

[0114] S104: The second information decision ring is used to execute the information decision between the IGBT inverter module and the second type of IoT terminal;

[0115] S106: Use IoT collaboration middleware to perform collaborative control of the first type of IoT terminals and the second type of IoT terminals;

[0116] S108: Using a first type of Internet of Things terminal, receive the original control information structure of the system user; integrate the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure;

[0117] S110: A second type of IoT terminal is used to store the frequency conversion information of the IGBT inverter module, and to generate the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling.

[0118] S112: Using the cache module and decision module included in the IGBT inverter module, the cache module receives the frequency conversion information of the IGBT inverter module transmitted in its own closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module; the decision module receives the information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling included therein, sets and updates the frequency conversion information of the IGBT inverter module in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter module for frequency conversion operation;

[0119] The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

[0120] Meanwhile, the present invention also proposes a computer program product, which includes computer instructions that, when executed by a processor, perform the frequency converter signal adjustment method based on the Internet of Things as described above.

[0121] This invention proposes a system and method for frequency converter signal adjustment based on the Internet of Things (IoT). By setting up an IGBT-based frequency converter in an IoT device, and utilizing a dual-channel system dynamic management information transmission mechanism, the interconnection between a first type of IoT terminal and the IGBT frequency converter serves as both the transmission outlet and self-feedback channel for IGBT frequency converter information. Combined with the flattened system control signaling flow mechanism of a second type of IoT terminal, and based on the operational requirements and intelligent system management requirements of the IoT device, a joint information processing mode of a cache module and a decision module provides frequency conversion parameters to the central frequency conversion unit of the IGBT frequency converter module. This enables users to dynamically manage the frequency converter's rectification function, achieving intelligent management of output signals such as temperature from IoT devices, and simultaneously realizing a technological improvement in applying frequency converters to the field of IoT devices.

[0122] In all the above embodiments, in order to achieve certain special data transmission and read / write function requirements, the above methods and corresponding devices can be expanded by adding devices, modules, components, hardware, pin connections or memory, processor differences during operation.

[0123] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the methods, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0124] In the embodiments provided by this invention, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of method steps is only a logical or functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the couplings or direct couplings or communication connections shown or discussed may be indirect couplings or communication connections through some interfaces, apparatuses, or units, and may be electrical, mechanical, or other forms.

[0125] The units described as separate components of the method and apparatus may or may not be logically or physically separate, and may not be physical units. That is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0126] Furthermore, the method steps and their implementations, as well as the functional units, in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit described above can be implemented in hardware or in the form of hardware plus software functional units.

[0127] The aforementioned methods and apparatus can be implemented as integrated units in the form of software functional units, which can be stored in a computer-readable storage medium. These software functional units, stored in a storage medium, include several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute some steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), NVRAM, magnetic disks, or optical disks.

[0128] 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 scope of protection of the present invention.

[0129] It should be noted that the above embodiments are only used to more clearly explain and illustrate the technical solutions of the present invention, and are not intended to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. These modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An Internet of Things (IoT)-based inverter signal adjustment system, the system comprising at least a first type of IoT terminal, a second type of IoT terminal, an IGBT inverter module, an IoT collaborative middleware, a first information decision ring, and a second information decision ring, wherein: The first information decision ring is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal; The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal. IoT collaboration middleware, which is used to perform collaborative control of a first type of IoT terminal and a second type of IoT terminal; The first type of IoT terminal receives the original control information structure from the system user; and integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure. The second type of IoT terminal stores the frequency conversion information of the IGBT inverter module and generates the second type of IoT terminal acquisition information based on the first control information structure and the second flattened signaling. The second flattened signaling includes out-of-band setting parameters of the IGBT inverter directly assigned by the system user through the second type of IoT terminal, which are used to set the operating configuration of the IGBT inverter. The out-of-band setting parameters of the IGBT inverter include: the frequency curve of the IGBT inverter that is directly set and fixed and cannot be modified by other signaling; and the target voltage value of the IGBT inverter that is directly set and fixed and cannot be modified by other signaling. If the out-of-band setting parameters of the IGBT inverter conflict with other signaling or parameters in the first control information structure, the out-of-band setting parameters of the IGBT inverter are forced to be the target value to override the other conflicting parameter values. The IGBT inverter module includes a cache module and a decision module. The cache module receives the frequency conversion information of the IGBT inverter module transmitted in its closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module. The decision module receives the information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling included therein, sets and updates the frequency conversion information of the IGBT inverter module in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter module for frequency conversion operation. The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

2. The frequency converter signal adjustment system based on the Internet of Things as described in claim 1, Its features are: in, The IoT collaboration middleware, used to perform collaborative control of the first type of IoT terminals and the second type of IoT terminals, includes at least the following: The first type of IoT terminal integrates the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure; The original control information structure includes at least: the target steady-state code of the first type of IoT terminal; and the steady-state parameters of the first type of IoT terminal in the target steady state. The frequency conversion information of the IGBT inverter module includes at least the IGBT inverter parameters that should be updated in the steady-state parameter-IGBT inverter parameter mapping table. The first type of IoT terminal transmits the first control information structure to the second type of IoT terminal through the IoT collaboration middleware.

3. The frequency converter signal adjustment system based on the Internet of Things as described in claim 2, characterized in that: The first information decision loop is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal, specifically: The first information decision ring provides the first rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the first type of Internet of Things terminal through the first sub-ring channel. Furthermore, the first information decision ring provides a second rectification information interface for the IGBT inverter module, and transmits the frequency conversion information of the IGBT inverter module to its own cache module through the second sub-ring channel.

4. The frequency converter signal adjustment system based on the Internet of Things as described in claim 3, characterized in that: The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal, specifically: The second information decision ring provides a third rectification information interface for the IGBT inverter module and transmits the frequency conversion information of the IGBT inverter module to the second type of IoT terminal through the third sub-ring channel. Furthermore, the second information decision ring provides a fourth rectifier information interface for the IGBT inverter module, and also transmits the information collected by the second type of IoT terminal to the IGBT inverter's own cache module through the third sub-ring channel.

5. The frequency converter signal adjustment system based on the Internet of Things as described in claim 4, characterized in that: The second type of IoT terminal stores the frequency conversion information of the IGBT inverter module, and generates the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling, specifically: The IoT collaborative middleware collaborates and shares information with the first type of IoT terminal, and packages the first control information structure with the second flattened signaling to generate the second type of IoT terminal collected information, which is then sent to the IGBT inverter's own cache module.

6. The frequency converter signal adjustment system based on the Internet of Things as described in claim 4, characterized in that: The first control information structure includes at least: the target steady-state code of the first type of IoT terminal; the steady-state parameters of the first type of IoT terminal in the target steady state; and a variable-stability mapping table between the steady-state parameters and the IGBT inverter parameters. Furthermore, the target steady-state code of the first type of IoT terminal is a system-preset stable operating state code for IoT terminals, consisting of 8 binary digits with a minimum value of 0x001, used to characterize different stable operating states of the first type of IoT terminal.

7. The frequency converter signal adjustment system based on the Internet of Things as described in claim 4, characterized in that: The steady-state parameters of the first type of IoT terminal in the target steady state are as follows: When the first type of IoT terminal is in a specific stable operating state, its corresponding target steady-state code is obtained, and the first part of the fixed operating parameters corresponding to the first type of IoT target steady-state code is queried in the system management platform; at the same time, the second part of the real-time operating parameters corresponding to the first type of IoT target steady-state code are collected to form the steady-state parameters of the first type of IoT terminal in the target steady state. The first type of IoT terminal is used to set up home IoT devices or to set up industrial IoT facilities.

8. A method for adjusting the signal of a frequency converter based on the Internet of Things (IoT) and applied to the system as described in any one of claims 1-7, the method comprising at least: Step 1: The first information decision loop is used to execute information decisions between the IGBT inverter module and the first type of IoT terminal; Step 2: The second information decision loop is used to execute information decisions between the IGBT inverter module and the second type of IoT terminal; Step 3: Use IoT collaboration middleware to perform collaborative control of the first type of IoT terminals and the second type of IoT terminals; Step 4: Using a first type of IoT terminal, receive the original control information structure from the system user; integrate the original control information structure with the frequency conversion information of the IGBT inverter module into a first control information structure; Step 5: Use a second type of IoT terminal to store the frequency conversion information of the IGBT inverter module, and generate the second type of IoT terminal collection information based on the first control information structure and the second flattened signaling. Step 6: Use the cache module and decision module included in the IGBT inverter module. The cache module receives the frequency conversion information of the IGBT inverter module transmitted in its own closed loop, as well as the information collected by the second type of IoT terminal, stores them in the same storage block, and submits the storage block address to the decision module. The decision module receives information collected by the second type of IoT terminal, and based on the first control information structure and the second flattened signaling contained therein, sets and updates the frequency conversion information of the IGBT inverter modules in the same storage block, and provides it to the central frequency conversion unit of the IGBT inverter modules for frequency conversion operation. The frequency conversion information of the IGBT inverter module includes parameters used to set the central frequency conversion unit of the IGBT inverter module to perform frequency conversion.

9. A computer program product comprising computer instructions that, when executed by a processor, perform the Internet of Things-based inverter signal adjustment method as described in claim 8.

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