A Wide-Voltage Adaptive Control Method and Control System
Through real-time monitoring and dynamic adjustment of the equipment working voltage, the problem that traditional voltage control methods are difficult to adapt to under the conditions of fluctuations in the power grid is solved, and the stable and efficient operation of the equipment and energy efficiency improvement in complex environments are achieved.
Patent Information
- Application Number
- CN202510200049.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-24
- Publication Date
- 2025-06-13
- Estimated Expiration
- 2045-02-24
AI Technical Summary
Traditional voltage control methods are difficult to adjust the output voltage in a timely and effective manner when the grid voltage or equipment load changes, resulting in a decrease in equipment working efficiency and may even cause equipment damage or safety accidents, especially in complex environments such as remote monitoring, mobile communication base stations, etc.
The parameter acquisition module obtains the voltage requirement information of the target device, and combines the cloud data server and voltage monitoring device to monitor and adjust the working voltage in real time, and dynamically generate standard reference voltages to ensure that the equipment operates stably under wide range of voltage fluctuations.
It realizes that the equipment always maintains the best working state under wide range of voltage fluctuations, improves the stability and reliability of the equipment, enhances adaptability and versatility, reduces energy loss, and reduces operating and maintenance costs.
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Figure CN119696188B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of power management, and particularly to a wide-voltage adaptive control method and control system. Background Art
[0002] In modern industrial production and daily life, various electrical devices are increasingly widely used, and these devices have extremely high requirements for voltage stability and adaptability. Traditional voltage control methods often rely on fixed voltage set values. When the grid voltage or device load changes, it is often impossible to adjust the output voltage in a timely and effective manner, resulting in a decrease in device operating efficiency and even possible device damage or safety accidents. Especially in some special application scenarios, such as remote monitoring, mobile communication base stations, field operation equipment, etc., due to the complex and changeable environment and large power voltage fluctuations, traditional voltage control methods are even more difficult to meet the actual needs.
[0003] In addition, with the rapid development of new energy technologies, such as the access of renewable energy sources like solar energy and wind energy, the volatility and uncertainty of the grid voltage have further increased. These new energy generation methods are greatly affected by natural factors such as weather and seasons, resulting in frequent large-scale fluctuations in the grid voltage. If the device cannot adapt to this voltage change, it will not only affect the normal operation of the device, but also pose a threat to the stability and safety of the power grid. Summary of the Invention
[0004] The purpose of the present invention is to overcome the deficiencies of the prior art and provide a wide-voltage adaptive control method, including the following steps:
[0005] Step 1, a parameter acquisition module acquires the voltage demand information of the target device and uploads the voltage demand information of the target device to the cloud data server. The cloud data server generates a standard reference voltage corresponding to the target device according to the voltage demand information of the target device and in combination with the voltage parameter database;
[0006] Step 2, a voltage monitoring device tests and collects the working voltage data of the target device according to the set monitoring time interval and sends the working voltage data to the voltage adaptive control module. The voltage adaptive control module obtains the stable working voltage of the target device according to the received working voltage data and compares it with the standard reference voltage to obtain the first voltage deviation characteristic;
[0007] Step 3, the voltage adaptive control module generates a voltage characteristic data container according to the voltage characteristics, sends the standard voltage reference data and the first voltage deviation characteristic to the voltage characteristic data container, and the voltage monitoring device collects the voltage characteristic data of the target device according to the voltage characteristics and transmits it to the voltage characteristic data container;
[0008] Step 4: Based on the collected voltage characteristic data, the voltage characteristic data container obtains the characteristic voltage data of the target device, compares it with the standard reference voltage, obtains the second voltage deviation characteristic, and calculates the difference between the first voltage deviation characteristic and the second voltage deviation characteristic. If the difference is within the set difference threshold range, proceed to Step 6; otherwise, proceed to Step 5.
[0009] Step 5: Based on the difference between the first voltage deviation characteristic and the second voltage deviation characteristic, correct the standard reference voltage to the sum of the standard reference voltage and the difference between the first voltage deviation characteristic and the second voltage deviation characteristic, obtain the corrected standard reference voltage, and correspond it with the voltage characteristics, then return to Step 2.
[0010] Step 6: Complete the wide-voltage adaptive monitoring control.
[0011] Furthermore, the parameter acquisition module acquires the voltage demand information of the target device and uploads the voltage demand information of the target device to the cloud data server. The cloud data server generates the standard voltage reference data corresponding to the target device based on the voltage demand information of the target device and in combination with the voltage parameter database, including:
[0012] The voltage demand information includes the target device parameter information and the voltage information under the working conditions. The standard voltage reference data of the target device is obtained based on the target device parameter information and the voltage information under the working conditions.
[0013] Furthermore, the voltage monitoring device tests and acquires the working voltage data of the target device according to the set monitoring time interval, including: within the set time interval, the voltage monitoring device tests and acquires the working voltage data of the target device to obtain the working voltage data of the target device within the monitoring time interval.
[0014] Furthermore, the voltage adaptive control module obtains the stable working voltage of the target device based on the received working voltage data, compares it with the reference standard voltage, and obtains the first voltage deviation characteristic, including:
[0015] The voltage adaptive control module obtains the average working voltage and the voltage fluctuation range within the set time interval based on the received working voltage data. The difference between the average working voltage and the reference standard voltage is the first difference, and the first difference and the voltage fluctuation range constitute the first voltage deviation characteristic.
[0016] Furthermore, the voltage characteristic includes the working voltage fluctuation range.
[0017] Furthermore, the voltage characteristic data container obtains the characteristic voltage data of the target device based on the collected voltage characteristic data, compares it with the standard reference voltage, and obtains the second voltage deviation characteristic, including:
[0018] The voltage characteristic data container obtains the average characteristic voltage of the target device and the characteristic voltage fluctuation range of the target device based on the characteristic voltage data of the target device. The difference between the average characteristic voltage of the target device and the standard reference voltage is the second difference, and the second difference and the characteristic voltage fluctuation range of the target device constitute the second voltage deviation characteristic.
[0019] Further, obtaining the difference between the first voltage deviation characteristic and the second voltage deviation characteristic includes:
[0020] Obtaining the difference between the first difference and the second difference and the range difference between the voltage fluctuation range and the characteristic voltage fluctuation range of the target device.
[0021] A wide-voltage adaptive control system applies the described wide-voltage adaptive control method, and includes a parameter acquisition module, a cloud data server, a communication module, a voltage monitoring device, a voltage adaptive control module, and a data processing module;
[0022] The communication module, the voltage monitoring device, the voltage adaptive control module, and the parameter acquisition module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.
[0023] The beneficial effects of the present invention are: by real-time monitoring and adjusting the working voltage, the present invention can ensure that the device always maintains the best working state under wide-range voltage fluctuation conditions, thereby improving the stability and reliability of the device.
[0024] The present invention can dynamically adjust the output voltage according to the characteristics and actual needs of the device, enabling the device to adapt to various complex voltage environments and enhancing the adaptability and versatility of the device.
[0025] By precisely controlling the working voltage, the present invention can reduce the energy loss caused by voltage fluctuations and improve the energy efficiency and energy utilization rate of the device.
[0026] The present invention combines a cloud data server and intelligent control algorithms to achieve intelligent management and remote monitoring of the device voltage, facilitating users to manage and maintain the device.
[0027] By reducing equipment failures and damages, as well as improving energy efficiency and stability, the present invention can reduce the operating cost and maintenance cost of the equipment, bringing significant economic benefits to users. Description of the Drawings
[0028] Figure 1 It is a schematic flow diagram of a wide-voltage adaptive control method;
[0029] Figure 2It is a schematic diagram of the principle of a wide-voltage adaptive control system;
[0030] Figure 3 It is a schematic diagram of the principle of a voltage monitoring device. Specific implementation manners
[0031] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings, but the protection scope of the present invention is not limited to the following.
[0032] The features and performance of the present invention will be further described in detail below with reference to the embodiments.
[0033] As Figure 1 shown, a wide-voltage adaptive control method includes the following steps:
[0034] Step 1, a parameter acquisition module acquires the voltage requirement information of a target device and uploads the voltage requirement information of the target device to a cloud data server. The cloud data server generates a standard reference voltage corresponding to the target device according to the voltage requirement information of the target device and in combination with a voltage parameter database;
[0035] Step 2, a voltage monitoring device tests and collects the working voltage data of the target device according to a set monitoring time interval and sends the working voltage data to a voltage adaptive control module. The voltage adaptive control module obtains the stable working voltage of the target device according to the received working voltage data and compares it with the standard reference voltage to obtain a first voltage deviation feature;
[0036] Step 3, the voltage adaptive control module generates a voltage characteristic data container according to the voltage characteristics, sends the standard voltage reference data and the first voltage deviation feature to the voltage characteristic data container, and the voltage monitoring device collects the voltage characteristic data of the target device according to the voltage characteristics and transmits it to the voltage characteristic data container;
[0037] Step 4, the voltage characteristic data container obtains the characteristic voltage data of the target device according to the collected voltage characteristic data, compares it with the standard reference voltage to obtain a second voltage deviation feature, and obtains the difference between the first voltage deviation feature and the second voltage deviation feature. If the difference is within the set difference threshold range, go to Step 6; otherwise, go to Step 5;
[0038] Step 5, according to the difference between the first voltage deviation feature and the second voltage deviation feature, correct the standard reference voltage to the sum of the standard reference voltage and the difference between the first voltage deviation feature and the second voltage deviation feature to obtain a corrected standard reference voltage, and correspond it to the voltage characteristics, and return to Step 2;
[0039] Step 6, complete the wide-voltage adaptive monitoring and control.
[0040] The described parameter acquisition module acquires the voltage demand information of the target device and uploads the voltage demand information of the target device to the cloud data server. The cloud data server generates the standard voltage reference data corresponding to the target device based on the voltage demand information of the target device and in combination with the voltage parameter database, including:
[0041] The described voltage demand information includes the target device parameter information and the voltage information under the working conditions. The standard voltage reference data of the target device is obtained based on the target device parameter information and the voltage information under the working conditions.
[0042] The described voltage monitoring device tests and acquires the working voltage data of the target device according to the set monitoring time interval, including: within the set time interval, the voltage monitoring device tests and acquires the working voltage data of the target device to obtain the working voltage data of the target device within the monitoring time interval.
[0043] The described voltage adaptive control module obtains the stable working voltage of the target device based on the received working voltage data and compares it with the reference standard voltage to obtain the first voltage deviation feature, including:
[0044] The voltage adaptive control module obtains the average value of the working voltage and the voltage fluctuation range within the set time interval based on the received working voltage data. The difference between the average value of the working voltage and the reference standard voltage is the first difference, and the first difference and the voltage fluctuation range constitute the first voltage deviation feature.
[0045] The described voltage characteristic includes the working voltage fluctuation range.
[0046] The described voltage characteristic data container obtains the characteristic voltage data of the target device based on the acquired voltage characteristic data and compares it with the standard reference voltage to obtain the second voltage deviation feature, including:
[0047] The voltage characteristic data container obtains the average value of the characteristic voltage of the target device and the characteristic voltage fluctuation range of the target device based on the characteristic voltage data of the target device. The difference between the average value of the characteristic voltage of the target device and the standard reference voltage is the second difference, and the second difference and the characteristic voltage fluctuation range of the target device constitute the second voltage deviation feature.
[0048] The described obtaining the difference between the first voltage deviation feature and the second voltage deviation feature includes:
[0049] Obtain the difference between the first difference and the second difference and the range difference between the voltage fluctuation range and the characteristic voltage fluctuation range of the target device.
[0050] Such as Figure 2As shown, a wide-voltage adaptive control system, characterized in that the described wide-voltage adaptive control method is applied, including a parameter acquisition module, a cloud data server, a communication module, a voltage monitoring device, a voltage adaptive control module, and a data processing module;
[0051] The communication module, the voltage monitoring device, the voltage adaptive control module, and the parameter acquisition module are respectively connected to the data processing module; the cloud data server is communicatively connected to the communication module.
[0052] As Figure 3 shown, the voltage monitoring device includes a voltage data acquisition module, an alarm device, and a display module; the voltage data acquisition module, the alarm device, and the display module are respectively connected to the data processing module.
[0053] Specifically, the present invention provides a wide-voltage adaptive control method, aiming to dynamically adjust the output voltage to match the device requirements by real-time monitoring the working voltage and characteristics of the device, ensuring that the device can operate stably and efficiently under wide-range voltage fluctuations. This method combines advanced voltage monitoring technology, data processing technology, and intelligent control algorithms to achieve precise control and automatic adjustment of the device voltage.
[0054] Step 1: Parameter acquisition and standard reference voltage generation
[0055] The parameter acquisition module is responsible for acquiring the voltage requirement information of the target device, and this information includes but is not limited to device model, rated power, working voltage range, etc.
[0056] The parameter acquisition module uploads the acquired voltage requirement information to the cloud data server.
[0057] The cloud data server, based on the received voltage requirement information and combined with the built-in voltage parameter database, generates the standard reference voltage corresponding to the target device through complex algorithm calculations and analyses. This standard reference voltage is the optimal working voltage of the device under ideal conditions.
[0058] The cloud data server will also dynamically adjust and optimize the standard reference voltage according to the working conditions and historical data of the device to ensure that it better meets the actual requirements of the device.
[0059] Step 2: Voltage monitoring and first voltage deviation characteristic calculation
[0060] The voltage monitoring device regularly tests and acquires the working voltage data of the target device at the set monitoring time interval. This monitoring time interval can be adjusted according to the characteristics and actual requirements of the device.
[0061] The voltage monitoring device sends the collected working voltage data to the voltage adaptive control module.
[0062] After receiving the working voltage data, the voltage adaptive control module obtains the stable working voltage of the target device within the monitoring time interval through data processing and analysis.
[0063] The voltage adaptive control module compares the stable working voltage with the standard reference voltage and calculates the first voltage deviation characteristic. This characteristic includes the difference between the average working voltage and the standard reference voltage (the first difference) and the voltage fluctuation range.
[0064] Step 3: Voltage characteristic data acquisition and second voltage deviation characteristic calculation
[0065] The voltage adaptive control module generates a voltage characteristic data container according to voltage characteristics (such as the working voltage fluctuation range, etc.). The voltage adaptive control module sends the standard reference voltage and the first voltage deviation characteristic to the voltage characteristic data container. The voltage monitoring device continues to collect the voltage characteristic data of the target device according to the voltage characteristics and transmits it to the voltage characteristic data container. The voltage characteristic data container processes and analyzes the received voltage characteristic data to obtain the characteristic voltage data of the target device.
[0066] The voltage characteristic data container compares the characteristic voltage data with the standard reference voltage and calculates the second voltage deviation characteristic. This characteristic includes the difference between the average characteristic voltage of the target device and the standard reference voltage (the second difference) and the characteristic voltage fluctuation range of the target device.
[0067] Step 4: Voltage deviation characteristic comparison and judgment
[0068] The voltage adaptive control module obtains the difference between the first voltage deviation characteristic and the second voltage deviation characteristic. This difference includes the difference between the first difference and the second difference and the range difference between the voltage fluctuation range and the characteristic voltage fluctuation range of the target device.
[0069] The voltage adaptive control module compares the obtained difference with the set difference threshold range. If the difference is within the set difference threshold range, it means that the current working voltage is already relatively close to the optimal working voltage of the device, and the next step can be entered; otherwise, voltage adjustment is required.
[0070] Step 5: Standard reference voltage correction and return
[0071] If the difference exceeds the set difference threshold range, the voltage adaptive control module will correct the standard reference voltage according to the difference between the first voltage deviation characteristic and the second voltage deviation characteristic. The corrected standard reference voltage is equal to the sum of the original standard reference voltage and the difference.
[0072] The voltage adaptive control module correlates the corrected standard reference voltage with the voltage characteristics for use in subsequent monitoring and control processes.
[0073] Return to Step 2 and restart the process of voltage monitoring and deviation characteristic calculation.
[0074] Step 6: Wide-voltage adaptive monitoring and control completed
[0075] If, after the adjustment and optimization in the above steps, the operating voltage of the target device has been stabilized within the set difference threshold range and can continuously meet the voltage requirements of the device, then the wide-voltage adaptive monitoring and control is completed. At this time, the device can operate stably and efficiently under wide-range voltage fluctuation conditions.
[0076] To implement the above wide-voltage adaptive control method, the present invention also provides a wide-voltage adaptive control system. The system includes a parameter acquisition module, a cloud data server, a communication module, a voltage monitoring device, a voltage adaptive control module, and a data processing module.
[0077] The parameter acquisition module is responsible for acquiring the voltage requirement information of the target device and uploading it to the cloud data server.
[0078] The cloud data server is communicatively connected to the communication module and is responsible for receiving the voltage requirement information uploaded by the parameter acquisition module and generating a standard reference voltage in combination with the voltage parameter database.
[0079] The communication module is responsible for implementing data transmission and communication between various modules.
[0080] The voltage monitoring device is responsible for periodically testing and collecting the operating voltage data of the target device and sending it to the voltage adaptive control module.
[0081] The voltage adaptive control module is responsible for receiving the operating voltage data sent by the voltage monitoring device, processing and analyzing it to obtain voltage deviation characteristics. At the same time, it corrects and adjusts the standard reference voltage according to the voltage deviation characteristics.
[0082] The data processing module is responsible for processing and analyzing the data of the entire system to ensure the normal operation and stability of the system
[0083] Embodiment 1: Application to motor control on an industrial production line
[0084] In an industrial production line, the motor is a key component that drives various mechanical equipment. Due to fluctuations in the grid voltage and changes in the load, the actual operating voltage of the motor often deviates from its rated voltage, resulting in a decrease in motor efficiency, an increase in energy consumption, and even problems such as motor overheating and damage. Therefore, a wide-voltage adaptive control method is needed to ensure that the motor can operate stably and efficiently under wide-range voltage fluctuations.
[0085] Specific implementation steps:
[0086] Parameter acquisition and standard reference voltage generation:
[0087] The parameter acquisition module obtains voltage requirement information such as the motor model, rated power, and operating voltage range by scanning the QR code on the motor or connecting to the motor's data interface.
[0088] These information are uploaded to the cloud data server. The server combines the built-in motor voltage parameter database and calculates and generates the standard reference voltage for this motor through algorithms, such as 220V ± 5%.
[0089] Based on the motor's operating conditions and historical operation data, the cloud data server dynamically adjusts the standard reference voltage to ensure it better meets the actual needs of the motor.
[0090] Voltage monitoring and calculation of the first voltage deviation characteristic:
[0091] The voltage monitoring device tests and collects the motor's operating voltage data every 10 minutes, including voltage values, voltage fluctuations, etc.
[0092] The collected data is sent to the voltage adaptive control module. The module obtains the stable operating voltage of the motor within the monitoring time interval, such as 218V, and the voltage fluctuation range, such as ±3V, through data processing.
[0093] Compare with the standard reference voltage and calculate the first voltage deviation characteristic, that is, the difference between the average operating voltage and the standard reference voltage is -2V, and the voltage fluctuation range is ±3V.
[0094] Voltage characteristic data acquisition and calculation of the second voltage deviation characteristic:
[0095] The voltage adaptive control module generates a voltage characteristic data container according to the voltage fluctuation range.
[0096] Send the standard reference voltage and the first voltage deviation characteristic to the data container.
[0097] The voltage monitoring device continues to collect the motor's voltage characteristic data, such as the voltage response when the load changes, etc., and transmits it to the data container.
[0098] The data container processes and analyzes to obtain the characteristic voltage data of the motor. For example, when the load increases, the voltage drops by 2V, and the characteristic voltage fluctuation range is ±4V.
[0099] Compare with the standard reference voltage, and calculate the second voltage deviation characteristic. That is, the difference between the average value of the characteristic voltage and the standard reference voltage is -4V, and the characteristic voltage fluctuation range is ±4V.
[0100] Comparison and judgment of voltage deviation characteristics:
[0101] The voltage adaptive control module obtains the difference between the first voltage deviation characteristic and the second voltage deviation characteristic. That is, the difference of differences is 2V, and the range difference is 1V.
[0102] Compare with the set difference threshold range (such as ±1V), and it is found that the difference exceeds the range, and voltage adjustment is required.
[0103] Standard reference voltage correction and return:
[0104] The voltage adaptive control module corrects the standard reference voltage according to the difference. After correction, it is 220V ± 0.9%.
[0105] Correspond the corrected standard reference voltage with the voltage characteristics, and return to step two to continue monitoring and adjustment.
[0106] Wide voltage adaptive monitoring control completed:
[0107] After multiple adjustments and optimizations, the operating voltage of the motor is stable within the range of 220V ± 0.9%, and it can continuously meet the voltage requirements of the motor. The wide voltage adaptive monitoring control is completed.
[0108] Embodiment 2: Application to power management of remote communication base stations
[0109] Remote communication base stations are usually located in remote areas, where the power supply is unstable and the voltage fluctuates greatly. The stable operation of the base station is crucial for the coverage and quality of the communication network. Therefore, a wide voltage adaptive control method is needed to ensure that the base station can operate stably and efficiently under wide-range voltage fluctuations.
[0110] Specific implementation steps:
[0111] Parameter acquisition and standard reference voltage generation:
[0112] The parameter acquisition module obtains the voltage demand information of the base station power supply through the data interface of the base station, including rated voltage, maximum power, operating voltage range, etc.
[0113] Upload this information to the cloud data server. The server combines the built-in power voltage parameter database to generate the standard reference voltage of the base station power supply, such as 48V ± 10%.
[0114] Based on the working environment and historical data of the base station, the cloud data server dynamically adjusts the standard reference voltage to adapt to the actual situation.
[0115] Voltage monitoring and first voltage deviation characteristic calculation:
[0116] The voltage monitoring device tests and collects the working voltage data of the base station power supply every 5 minutes, including voltage values, fluctuations, etc.
[0117] Send the data to the voltage adaptive control module. The module obtains the stable working voltage of the base station power supply within the monitoring time interval, such as 47.5V, and the voltage fluctuation range, such as ±1.5V, through data analysis.
[0118] Compare with the standard reference voltage to calculate the first voltage deviation characteristic, that is, the difference between the average working voltage and the standard reference voltage is -0.5V, and the voltage fluctuation range is ±1.5V.
[0119] Voltage characteristic data acquisition and second voltage deviation characteristic calculation:
[0120] The voltage adaptive control module generates a voltage characteristic data container according to the voltage fluctuation range.
[0121] Send the standard reference voltage and the first voltage deviation characteristic to the data container.
[0122] The voltage monitoring device continues to collect the voltage characteristic data of the base station power supply, such as the voltage response when the load changes and the temperature changes, and transmits it to the data container.
[0123] The data container processes and analyzes to obtain the characteristic voltage data of the base station power supply, such as the voltage drops by 0.8V when the load increases, and the characteristic voltage fluctuation range is ±2V.
[0124] Compare with the standard reference voltage to calculate the second voltage deviation characteristic, that is, the difference between the average characteristic voltage and the standard reference voltage is -1.3V, and the characteristic voltage fluctuation range is ±2V.
[0125] Voltage deviation characteristic comparison and judgment:
[0126] The voltage adaptive control module obtains the difference between the first voltage deviation characteristic and the second voltage deviation characteristic, that is, the difference in differences is 0.8V, and the difference in ranges is 0.5V.
[0127] Compare with the set difference threshold range (such as ±0.5V), and find that the difference exceeds the range, so voltage adjustment is required.
[0128] Standard reference voltage correction and return:
[0129] The voltage adaptive control module corrects the standard reference voltage according to the difference, and after correction, it is 48V ± 1.6%.
[0130] Correlate the corrected standard reference voltage with the voltage characteristics and return to step two for continuous monitoring and adjustment.
[0131] Wide voltage adaptive monitoring and control completed:
[0132] After multiple adjustments and optimizations, the operating voltage of the base station power supply is stabilized within the range of 48V ± 1.6%, and it can continuously meet the voltage requirements of the base station. The wide voltage adaptive monitoring and control is completed. The base station can operate stably and efficiently in an environment with large power fluctuations.
[0133] The above are only the preferred embodiments of the present invention. It should be understood that the present invention is not limited to the form disclosed herein, should not be regarded as excluding other embodiments, but can be used in various other combinations, modifications and environments, and can be changed within the scope of the concept described herein through the above teachings or the technology or knowledge in related fields. And the changes and alterations made by those skilled in the art that do not depart from the spirit and scope of the present invention shall all be within the protection scope of the appended claims of the present invention.
Claims
1. A wide voltage adaptive control method, characterized in that: The steps include: Step 1: The parameter acquisition module acquires the voltage requirement information of the target device and uploads the voltage requirement information of the target device to the cloud data server. The cloud data server generates a standard reference voltage corresponding to the target device based on the voltage requirement information of the target device and the voltage parameter database; Step 2: The voltage monitoring device tests and collects the operating voltage data of the target device according to the set monitoring time interval, and sends the operating voltage data to the voltage adaptive control module. The voltage adaptive control module obtains the stable operating voltage of the target device according to the received operating voltage data, and compares it with the standard reference voltage to obtain the first voltage deviation feature; Step 3: The voltage adaptive control module generates a voltage characteristic data container according to the voltage characteristics, sends the standard voltage reference data and the first voltage deviation characteristic to the voltage characteristic data container, and the voltage monitoring device collects the voltage characteristic data of the target device according to the voltage characteristics and transmits it to the voltage characteristic data container; Step 4: The voltage characteristic data container obtains characteristic voltage data of the target device according to the collected voltage characteristic data, and compares it with the standard reference voltage to obtain the second voltage deviation characteristic, and obtains the difference between the first voltage deviation characteristic and the second voltage deviation characteristic. If the difference is within the set difference threshold range, then proceed to step 6; otherwise, proceed to step 5; Step 5: According to the difference between the first voltage deviation characteristic and the second voltage deviation characteristic, the standard reference voltage is corrected to be the sum of the standard reference voltage and the difference between the first voltage deviation characteristic and the second voltage deviation characteristic, a corrected standard reference voltage is obtained, and the voltage characteristic is matched, and the process returns to step 2; Step six, complete wide voltage adaptive monitoring control.
2. A wide voltage adaptive control method according to claim 1, characterized in that: The parameter acquisition module acquires the voltage requirement information of the target device and uploads the voltage requirement information of the target device to the cloud data server. The cloud data server generates standard voltage reference data corresponding to the target device based on the voltage requirement information of the target device and in combination with the voltage parameter database, including: The voltage requirement information includes target device parameter information and voltage information under working conditions, and standard voltage reference data of the target device is obtained based on the target device parameter information and voltage information under working conditions.
3. A wide voltage adaptive control method according to claim 2, characterized in that: The voltage adaptive control module obtains the stable operating voltage of the target device according to the received operating voltage data, and compares it with the standard reference voltage to obtain the first voltage deviation feature, including: The voltage adaptive control module obtains the working voltage average value and the voltage fluctuation range within a set time interval based on the received working voltage data. The difference between the working voltage average value and the standard reference voltage is the first difference. The first difference and the voltage fluctuation range constitute the first voltage deviation characteristic.
4. A wide voltage adaptive control method according to claim 3, characterized in that: The voltage characteristics include the operating voltage fluctuation range.
5. A wide voltage adaptive control method according to claim 4, characterized in that: The voltage characteristic data container obtains characteristic voltage data of the target device according to the collected voltage characteristic data, and compares it with the standard reference voltage to obtain a second voltage deviation characteristic, including: The voltage characteristic data container obtains a characteristic voltage average value and a characteristic voltage fluctuation range of the target device according to the characteristic voltage data of the target device. The difference between the characteristic voltage average value of the target device and the standard reference voltage is a second difference. The second difference and the characteristic voltage fluctuation range of the target device constitute a second voltage deviation characteristic.
6. A wide voltage adaptive control method according to claim 5, characterized in that: The obtaining of the difference between the first voltage deviation characteristic and the second voltage deviation characteristic includes: The difference between the first difference and the second difference and the range difference between the voltage fluctuation range and the characteristic voltage fluctuation range of the target device are obtained.
7. A wide voltage adaptive control system, characterized in that: A wide voltage adaptive control method according to any one of claims 1 to 6 is applied, comprising a parameter acquisition module, a cloud data server, a communication module, a voltage monitoring device, a voltage adaptive control module and a data processing module; The communication module, voltage monitoring device, voltage adaptive control module, and parameter acquisition module are respectively connected to the data processing module; the cloud data server is in communication connection with the communication module; The parameter acquisition module is used to obtain voltage requirement information of the target device; The communication module is used for data communication; The voltage monitoring device is used to collect voltage characteristic data of the target device; The voltage adaptive control module is used to perform adaptive control on the target device; The data processing module is used for data processing.
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