Intelligent power supply output adjusting method and system based on data driving

Abstract

The invention discloses an intelligent power supply output adjusting method and system based on data driving, and the method comprises the steps: detecting a real-time load of target equipment through a sampling resistor when the target equipment is used; predicting target voltage information of the target equipment according to the use scene of the target equipment; determining a circuit control instruction according to the real-time load and the target voltage information; and executing the circuit control instruction to control a control circuit of a power supply of the target equipment until the voltage output by the power supply meets the target voltage information. Therefore, the voltage of the equipment can be accurately adjusted, the real-time performance and the adaptability of power supply response are improved, the energy consumption is effectively reduced, and the stability and the safety of equipment operation are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular, to an intelligent power output regulation method and system based on data driving. Background Art

[0002] In the prior art, electronic devices such as medical devices are usually powered by a power supply with a preset constant voltage to a target device. However, during actual operation, the load of the target device will change dynamically with the usage state and working scenario. The fixed voltage cannot take into account the power supply requirements in different scenarios, which easily leads to insufficient or excessive voltage, thus affecting the device performance or damaging the circuit. Some solutions introduce a power supply regulation mechanism, but mostly rely on manual setting or static matching, and cannot achieve a fast response to real-time load changes, resulting in high energy consumption, poor stability of the device, and compatibility problems in multiple scenarios. It can be seen that there are defects in the prior art and urgent solutions are needed. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide an intelligent power output regulation method and system based on data driving, which can achieve precise regulation of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption, and enhance the stability and safety of device operation.

[0004] To solve the above technical problem, in the first aspect of the present invention, an intelligent power output regulation method based on data driving is disclosed, and the method includes: When the target device is in use, detecting the real-time load of the target device through a sampling resistor; Predicting the target voltage information of the target device according to the usage scenario of the target device; Determining a circuit control instruction according to the real-time load and the target voltage information; Executing the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

[0005] As an optional implementation manner, in the first aspect of the present invention, the target device is a medical electronic device.

[0006] As an optional implementation manner, in the first aspect of the present invention, the predicting the target voltage information of the target device according to the usage scenario of the target device includes: Obtaining sensing data sent by a sensing device arranged in the usage area of the target device; Predicting the usage scenario of the target device according to the sensing data; Determining the target voltage information of the target device according to the usage scenario.

[0007] As an optional implementation manner, in the first aspect of the present invention, predicting the usage scenario of the target device according to the sensing data includes: Inputting the data part of each different sensing type in the sensing data into the scenario prediction neural network corresponding to the corresponding sensing type to obtain the scenario prediction result corresponding to each data part; the scenario prediction neural network is trained by a training data set including the training sensing data of the corresponding sensing type and the corresponding scenario annotation; the sensing type is image, sound, light reflection information, temperature or humidity; Calculating the intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

[0008] As an optional implementation manner, in the first aspect of the present invention, the usage scenario includes a scenario type, a scenario area location, a usage object, a user, and a usage purpose.

[0009] As an optional implementation manner, in the first aspect of the present invention, determining the target voltage information of the target device according to the usage scenario includes: Filtering out multiple historical records in the historical usage record database that partially or fully match the usage scenario; Calculating the normal range of the output voltage of the target device corresponding to each historical record; Calculating the average value of the intermediate values of all the normal ranges corresponding to the historical records to obtain the target voltage information of the target device.

[0010] As an optional implementation manner, in the first aspect of the present invention, determining the circuit control instruction according to the real-time load and the target voltage information includes: Determining the real-time output voltage corresponding to the real-time load according to the preset change relationship between the load and the voltage; Calculating the voltage difference between the real-time output voltage and the target voltage information; Determining the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

[0011] As an optional implementation manner, in the first aspect of the present invention, determining the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction includes: Judging whether the voltage difference is within the preset normal value range. If so, determining the circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the difference and the control instruction; If not, obtaining the historical voltage record of the target device in the historical time period; Calculate the average value of the voltage values in all the historical voltage records to obtain a correction weight; Multiply the correction weight by the target voltage information to obtain correction voltage information; Calculate the correction voltage difference between the real-time output voltage and the correction voltage information; Determine whether the correction voltage difference is within the normal value range. If so, according to the corresponding relationship between the preset difference and the control instruction, determine the circuit control instruction corresponding to the correction voltage difference; the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction; If not, send an alarm instruction to the alarm module of the target device.

[0012] A second aspect of the embodiments of the present invention discloses an intelligent power output regulation system based on data driving, and the system includes: A detection module, configured to detect the real-time load of the target device through a sampling resistor when the target device is in use; A prediction module, configured to predict the target voltage information of the target device according to the usage scenario of the target device; A determination module, configured to determine a circuit control instruction according to the real-time load and the target voltage information; A control module, configured to execute the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

[0013] As an optional implementation manner, in the second aspect of the present invention, the target device is a medical electronic device.

[0014] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the prediction module predicts the target voltage information of the target device according to the usage scenario of the target device includes: Obtain the sensing data sent by the sensing device arranged in the usage area of the target device; Predict the usage scenario of the target device according to the sensing data; Determine the target voltage information of the target device according to the usage scenario.

[0015] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the prediction module predicts the usage scenario of the target device according to the sensing data includes: Input the data part of each different sensing type in the sensing data into the scenario prediction neural network corresponding to the corresponding sensing type to obtain the scenario prediction result corresponding to each data part; the scenario prediction neural network is trained by a training data set including the training sensing data of the corresponding sensing type and the corresponding scenario annotation; the sensing type is image, sound, light reflection information, temperature or humidity; Calculate the intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

[0016] As an optional implementation manner, in the second aspect of the present invention, the usage scenario includes a scenario type, a scenario area location, a usage object, a user, and a usage purpose.

[0017] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the prediction module determines the target voltage information of the target device according to the usage scenario includes: Screen out multiple historical records in the historical usage record database that partially or fully match the usage scenario; Calculate the normal range of the output voltage of the target device corresponding to each historical record; Calculate the average value of the intermediate values of the normal ranges corresponding to all historical records to obtain the target voltage information of the target device.

[0018] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the determination module determines the circuit control instruction according to the real-time load and the target voltage information includes: Determine the real-time output voltage corresponding to the real-time load according to the preset change relationship between the load and the voltage; Calculate the voltage difference between the real-time output voltage and the target voltage information; Determine the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

[0019] As an optional implementation manner, in the second aspect of the present invention, the specific manner in which the determination module determines the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction includes: Judge whether the voltage difference is within the preset normal value range. If so, determine the circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the difference and the control instruction; If not, obtain the historical voltage record of the target device in the historical time period; Calculate the average value of the voltage values in all historical voltage records to obtain the correction weight; Multiply according to the corrected weight and the target voltage information to obtain corrected voltage information; Calculate the corrected voltage difference between the real-time output voltage and the corrected voltage information; Determine whether the corrected voltage difference is within the range of the normal value. If so, according to the corresponding relationship between the preset difference and the control instruction, determine the circuit control instruction corresponding to the corrected voltage difference; the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction; If not, send an alarm instruction to the alarm module of the target device.

[0020] A third aspect of the present invention discloses another intelligent power output regulation system based on data driving, and the system includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes some or all of the steps in the intelligent power output regulation method based on data driving disclosed in the first aspect of the present invention.

[0021] A fourth aspect of the present invention discloses a computer storage medium, and the computer storage medium stores computer instructions, which are used to execute some or all of the steps in the intelligent power output regulation method based on data driving disclosed in the first aspect of the present invention when called.

[0022] Compared with the prior art, the embodiments of the present invention have the following beneficial effects: During the use of the target device, the present invention collects in real time the load information detected through the sampling resistor, and combines the current usage scenario of the device to predict the required target voltage. The circuit control instruction is determined jointly by the real-time load and the target voltage information, and further drives the power control circuit to perform dynamic adjustment until the power output voltage meets the predicted target value, so as to realize the precise regulation of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption, and enhance the stability and safety of the device operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings without creative efforts based on these drawings.

[0024] Figure 1 is a schematic flowchart of an intelligent power output regulation method based on data driving disclosed in an embodiment of the present invention.

[0025] Figure 2 It is a schematic structural diagram of an intelligent power output regulation system based on data driving disclosed in an embodiment of the present invention.

[0026] Figure 3 It is a schematic structural diagram of another intelligent power output regulation system based on data driving disclosed in an embodiment of the present invention. Detailed implementation manners

[0027] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without making creative efforts fall within the protection scope of the present invention.

[0028] Terms such as "first" and "second" in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, device, product or equipment that includes a series of steps or units is not limited to the listed steps or units, but optionally further includes steps or units not listed, or optionally further includes other steps or units inherent to these processes, methods, products or equipment.

[0029] Referring to "embodiment" in this article means that the specific features, structures or characteristics described in combination with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0030] The present invention discloses an intelligent power output regulation method and system based on data driving. During the use of the target device, the load information detected by sampling resistors is collected in real time, and the target voltage required is predicted in combination with the current usage scenario of the device. The circuit control instruction is determined jointly by the real-time load and the target voltage information, and further drives the power control circuit to perform dynamic adjustment until the power output voltage meets the predicted target value, so as to be able to achieve precise regulation of the device voltage, improve the real-time performance and adaptability of the power response, effectively reduce energy consumption and enhance the stability and safety of device operation. The following will be described in detail respectively.

[0031] Embodiment 1 Please refer to Figure 1 , Figure 1 which is a schematic flowchart of an intelligent power output regulation method based on data driving disclosed in an embodiment of the present invention. Among them, Figure 1 the described intelligent power output regulation method based on data driving can be applied to a data processing system / data processing device / data processing server (wherein, the server includes a local processing server or a cloud processing server). As Figure 1 shown, the intelligent power output regulation method based on data driving may include the following operations: 101. When the target device is in use, detect the real-time load of the target device through a sampling resistor.

[0032] 102. Predict the target voltage information of the target device according to the usage scenario of the target device. 103. Determine a circuit control instruction according to the real-time load and the target voltage information. 104. Execute the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

[0033] It can be seen that in the above embodiment of the invention, during the use of the target device, the load information detected through the sampling resistor is collected in real time, and the target voltage required is predicted in combination with the current usage scenario of the device. The circuit control instruction is determined jointly by the real-time load and the target voltage information, and further drives the power control circuit to perform dynamic adjustment until the power supply output voltage meets the predicted target value, so as to realize the precise regulation of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption and enhance the stability and safety of device operation.

[0034] As an optional embodiment, in the above steps, the target device is a medical electronic device.

[0035] It can be seen that through the above optional embodiment, the target device is defined as a medical electronic device, so as to facilitate the control of the medical device by the solution of the present invention, assist in realizing the precise regulation of the voltage of the medical device, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption and enhance the stability and safety of device operation.

[0036] As an optional embodiment, in the above steps, predicting the target voltage information of the target device according to the usage scenario of the target device includes: Obtain the sensing data sent by the sensing device arranged in the usage area of the target device; Predict the usage scenario of the target device according to the sensing data; Determine the target voltage information of the target device according to the usage scenario.

[0037] It can be seen that through the above optional embodiments, by obtaining the sensing data sent by the sensing device arranged in the usage area of the target device, predicting the current usage scenario of the target device in combination with the sensing data, and determining the target voltage information based on the usage scenario, it is possible to realize the intelligent perception of the environment and the actual working state of the target device, and dynamically adjust the power supply parameters according to the usage requirements, thereby improving the accuracy and adaptability of voltage regulation, and further enhancing the stability of device operation and energy usage efficiency.

[0038] As an optional embodiment, in the above steps, predicting the usage scenario of the target device according to the sensing data includes: Inputting each data part of different sensing types in the sensing data into the scenario prediction neural network corresponding to the corresponding sensing type to obtain the scenario prediction result corresponding to each data part; optionally, the scenario prediction neural network is trained by a training data set including the training sensing data of the corresponding sensing type and the corresponding scenario annotation; the sensing type is image, sound, light reflection information, temperature or humidity; Calculating the intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

[0039] It can be seen that through the above optional embodiments, by respectively inputting different types of sensing data into the corresponding scenario prediction neural networks, obtaining the scenario prediction results corresponding to each type of sensing data, and determining the final usage scenario through intersection calculation, it is possible to fully integrate multi-modal environmental perception information, improve the accuracy and robustness of scenario recognition, thereby realizing the accurate determination of the operating environment of the target device, providing a reliable basis for subsequent dynamic power supply control, and enhancing the intelligent level and response efficiency of the overall system.

[0040] As an optional embodiment, in the above steps, the usage scenario includes scenario type, scenario area location, usage object, user, and usage purpose.

[0041] It can be seen that through the above optional embodiments, the content of the usage scenario is defined to facilitate subsequent precise voltage control, assist in realizing the precise regulation of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption, and enhance the stability and safety of device operation.

[0042] As an optional embodiment, in the above steps, determining the target voltage information of the target device according to the usage scenario includes: Screening out multiple historical records in the historical usage record database that partially or fully match the usage scenario; Calculating the normal interval of the output voltage of the target device corresponding to each historical record; Calculate the average of the median values of the normal intervals corresponding to all historical records to obtain the target voltage information of the target device.

[0043] It can be seen that through the above optional embodiments, by screening historical records that partially or fully match the current usage scenario in the historical usage record database, determining the normal voltage interval based on the output voltage of the target device in each historical record, and performing an average median process on all normal intervals to obtain the target voltage information, it is possible to make full use of existing data to improve the prediction accuracy of the target voltage, taking into account scenario adaptability and statistical robustness, thereby improving the accuracy of subsequent power supply control and the stability of the system, and avoiding abnormal device operation or energy consumption waste caused by voltage deviation.

[0044] As an optional embodiment, in the above steps, determining the circuit control instruction according to the real-time load and the target voltage information includes: Determine the real-time output voltage corresponding to the real-time load according to the preset variation relationship between the load and the voltage; Calculate the voltage difference between the real-time output voltage and the target voltage information; Determine the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

[0045] It can be seen that through the above optional embodiments, according to the preset variation relationship between the load and the voltage, dynamically calculate the output voltage corresponding to the real-time load, and combine the target voltage information to determine the voltage difference, and further generate the circuit control instruction according to the preset corresponding relationship between the difference and the control instruction, which can achieve fine adjustment of the output voltage, improve the response speed and accuracy of power supply regulation, ensure that the target device is always in a stable operating voltage range under different usage states, and improve the overall energy efficiency and device reliability.

[0046] As an optional embodiment, in the above steps, determining the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction includes: Judge whether the voltage difference is within the preset normal value range. If so, determine the circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the difference and the control instruction; If not, obtain the historical voltage records of the target device in the historical time period; Calculate the average value of the voltage values in all historical voltage records to obtain the correction weight; Multiply the correction weight by the target voltage information to obtain the corrected voltage information; Calculate the corrected voltage difference between the real-time output voltage and the corrected voltage information; Determine whether the corrected voltage difference is within the normal value range. If so, determine the circuit control instruction corresponding to the corrected voltage difference according to the preset correspondence between the difference and the control instruction. Optionally, the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction; If not, send an alarm instruction to the alarm module of the target device.

[0047] It can be seen that through the above optional embodiments, by determining whether the real-time voltage difference is within the normal range, generating a correction weight in combination with the historical voltage record, correcting the target voltage information, and generating a more accurate circuit control instruction based on the corrected voltage difference, it is possible to effectively cope with real-time load anomalies or mutations, improve the robustness and stability of voltage control, and at the same time trigger an alarm in the case of serious anomalies, enhance the system's fault perception and safety protection capabilities, and ensure the continuous and reliable operation of the target device under complex working conditions.

[0048] Embodiment 2 Please refer to Figure 2 , Figure 2 which is a schematic structural diagram of an intelligent power output regulation system based on data driving disclosed in an embodiment of the present invention. Among them, Figure 2 the described intelligent power output regulation system based on data driving can be applied to a data processing system / data processing device / data processing server (wherein, the server includes a local processing server or a cloud processing server). As Figure 2 shown, the intelligent power output regulation system based on data driving may include: A detection module 201, configured to detect the real-time load of the target device through a sampling resistor when the target device is in use.

[0049] A prediction module 202, configured to predict the target voltage information of the target device according to the usage scenario of the target device. A determination module 203, configured to determine a circuit control instruction according to the real-time load and the target voltage information. A control module 204, configured to execute the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

[0050] It can be seen that in the process of using the target device in the above-mentioned embodiment of the invention, the load information detected through the sampling resistor is collected in real time, and the target voltage required is predicted in combination with the current usage scenario of the device. The circuit control instruction is determined jointly by the real-time load and the target voltage information, and further drives the power control circuit to perform dynamic adjustment until the power output voltage meets the predicted target value, so as to realize the precise regulation of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption, and enhance the stability and safety of device operation.

[0051] As an alternative embodiment, the target device is a medical electronic device.

[0052] It can be seen that through the above alternative embodiment, the target device is defined as a medical electronic device, so as to facilitate the control of the medical device by the solution of the present invention, assist in realizing the precise adjustment of the voltage of the medical device, improve the real-time performance and adaptability of the power supply response, effectively reduce the energy consumption, and enhance the stability and safety of the device operation.

[0053] As an alternative embodiment, the specific manner in which the prediction module predicts the target voltage information of the target device according to the usage scenario of the target device includes: Obtain the sensing data sent by the sensing device arranged in the usage area of the target device; Predict the usage scenario of the target device according to the sensing data; Determine the target voltage information of the target device according to the usage scenario.

[0054] It can be seen that through the above alternative embodiment, by obtaining the sensing data sent by the sensing device arranged in the usage area of the target device, predicting the current usage scenario of the target device in combination with the sensing data, and determining the target voltage information based on the usage scenario, it is possible to realize the intelligent perception of the environment and the actual working state of the target device, and dynamically adjust the power supply parameters according to the usage requirements, thereby improving the accuracy and adaptability of voltage regulation, and further enhancing the stability of device operation and the energy use efficiency.

[0055] As an alternative embodiment, the specific manner in which the prediction module predicts the usage scenario of the target device according to the sensing data includes: Input each data part of different sensing types in the sensing data into the scenario prediction neural network corresponding to the corresponding sensing type to obtain the scenario prediction result corresponding to each data part; optionally, the scenario prediction neural network is trained by a training data set including the training sensing data of the corresponding sensing type and the corresponding scenario annotation; the sensing type is image, sound, light reflection information, temperature or humidity; Calculate the intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

[0056] It can be seen that through the above alternative embodiment, by respectively inputting different types of sensing data into the corresponding scenario prediction neural network, obtaining the scenario prediction results corresponding to each sensing data, and determining the final usage scenario through intersection calculation, it is possible to fully integrate multi-modal environmental perception information, improve the accuracy and robustness of scenario recognition, thereby realizing the accurate determination of the operating environment of the target device, providing a reliable basis for subsequent dynamic power supply control, and enhancing the intelligent level and response efficiency of the overall system.

[0057] As an optional embodiment, the usage scenarios include scenario type, scenario area location, usage object, user, and usage purpose.

[0058] It can be seen that through the above optional embodiments, the content of the usage scenario is defined to facilitate subsequent precise voltage control, assist in achieving precise adjustment of the device voltage, improve the real-time performance and adaptability of the power supply response, effectively reduce energy consumption, and enhance the stability and safety of device operation.

[0059] As an optional embodiment, the specific manner in which the prediction module determines the target voltage information of the target device according to the usage scenario includes: Filter out multiple historical records in the historical usage record database that partially or fully match the usage scenario; Calculate the normal range of the output voltage of the target device corresponding to each historical record; Calculate the average value of the median values of all the normal ranges corresponding to the historical records to obtain the target voltage information of the target device.

[0060] It can be seen that through the above optional embodiments, by filtering historical records in the historical usage record database that partially or fully match the current usage scenario, determining the normal voltage range based on the output voltage of the target device in each historical record, and performing average median processing on all normal ranges to obtain the target voltage information, it is possible to make full use of existing data to improve the prediction accuracy of the target voltage, taking into account scenario adaptability and statistical robustness, thereby improving the accuracy of subsequent power supply control and the stability of the system, and avoiding abnormal device operation or energy consumption waste caused by voltage deviation.

[0061] As an optional embodiment, the specific manner in which the determination module determines the circuit control instruction according to the real-time load and the target voltage information includes: Determine the real-time output voltage corresponding to the real-time load according to the preset variation relationship between the load and the voltage; Calculate the voltage difference between the real-time output voltage and the target voltage information; Determine the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

[0062] It can be seen that through the above optional embodiments, according to the preset variation relationship between the load and the voltage, dynamically calculate the output voltage corresponding to the real-time load, determine the voltage difference in combination with the target voltage information, and further generate the circuit control instruction based on the preset corresponding relationship between the difference and the control instruction, which can achieve fine adjustment of the output voltage, improve the response speed and accuracy of power supply regulation, ensure that the target device is always in a stable working voltage range under different usage states, and improve the overall energy efficiency and device reliability.

[0063] As an alternative embodiment, the determining module determines the specific manner of the circuit control instruction according to the voltage difference and the corresponding relationship between the preset difference and the control instruction, including: Judge whether the voltage difference is within the preset normal value range. If so, determine the circuit control instruction corresponding to the voltage difference according to the corresponding relationship between the preset difference and the control instruction; If not, obtain the historical voltage records of the target device in the historical time period; Calculate the average value of the voltage values in all historical voltage records to obtain the correction weight; Multiply the correction weight by the target voltage information to obtain the corrected voltage information; Calculate the corrected voltage difference between the real-time output voltage and the corrected voltage information; Judge whether the corrected voltage difference is within the normal value range. If so, determine the circuit control instruction corresponding to the corrected voltage difference according to the corresponding relationship between the preset difference and the control instruction. Optionally, the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction; If not, send an alarm instruction to the alarm module of the target device.

[0064] It can be seen that through the above alternative embodiment, by judging whether the real-time voltage difference is within the normal range, combining the historical voltage records to generate the correction weight, correcting the target voltage information, and generating a more accurate circuit control instruction based on the corrected voltage difference, it can effectively cope with real-time load anomalies or mutations, improve the robustness and stability of voltage control, and at the same time trigger an alarm in the case of severe anomalies, enhance the system's fault perception and safety protection capabilities, and ensure the continuous and reliable operation of the target device under complex working conditions.

[0065] Embodiment III Please refer to Figure 3 , Figure 3 which is another intelligent power output regulation system based on data driving disclosed in the embodiments of the present invention. Figure 3 The described intelligent power output regulation system based on data driving is applied to a data processing system / data processing device / data processing server (wherein, the server includes a local processing server or a cloud processing server). As Figure 3 shown, the intelligent power output regulation system based on data driving may include: A memory 301 storing executable program code; A processor 302 coupled to the memory 301; Wherein, the processor 302 calls the executable program code stored in the memory 301 to execute the steps of the intelligent power output regulation method described in Embodiment I.

[0066] Example 4 An embodiment of the present invention discloses a computer-readable storage medium storing a computer program for electronic data exchange, wherein the computer program causes a computer to execute the steps of the data-driven intelligent power output regulation method described in Example 1.

[0067] Example 5 An embodiment of the present invention discloses a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute the steps of the data-driven intelligent power output regulation method described in Example 1.

[0068] The above describes specific embodiments of this specification, and other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve the desired result. Additionally, the processes depicted in the drawings do not necessarily have to be performed in the particular order shown or in a sequential order to achieve the desired result. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0069] The systems, devices, modules, or units illustrated in the above embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, the computer may be, for example, a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or any combination of these devices.

[0070] For convenience of description, the above devices are described by dividing them into various units according to their functions. Of course, when implementing this specification, the functions of each unit may be implemented in one or more software and / or hardware.

[0071] Those skilled in the art should understand that the embodiments of this specification may be provided as a method, a system, or a computer program product. Therefore, the embodiments of this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the embodiments of this specification may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories, CD-ROMs, optical memories, etc.) containing computer-usable program code.

[0072] This specification is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the specification. It should be understood that each flow and / or block in the flowchart and / or block diagram, and combinations of flows and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processors of general-purpose computers, special-purpose computers, embedded processors, or other programmable data processing devices to produce a machine, such that the instructions executed by the processors of the computer or other programmable data processing devices produce means for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.

[0073] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory produce a manufacture including instruction means that implement the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.

[0074] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to produce a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide steps for implementing the functions specified in one or more of the flows Figure 1 one or more of the flows and / or blocks Figure 1 or means for implementing the functions specified in one or more of the blocks.

[0075] In a typical configuration, a computing device includes one or more processors (CPUs), an input / output interface, a network interface, and memory.

[0076] The memory may include non-permanent memory in the form of computer-readable media, random access memory (RAM), and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0077] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0078] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0079] This specification may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification may also be practiced in distributed computing environments where tasks are performed by remote processing devices connected through a communication network. In a distributed computing environment, program modules may be located in local and remote computer storage media, including storage devices.

[0080] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0081] Finally, it should be noted that: The intelligent power output regulation method and system based on data driving disclosed in the embodiments of the present invention only disclose the preferred embodiments of the present invention. It is only used to illustrate the technical solutions of the present invention, rather than limiting it; Although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: They can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; And these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent power output regulation method based on data-driven, characterized in that, The method includes: When the target device is in use, detecting the real-time load of the target device through a sampling resistor; Predicting the target voltage information of the target device according to the usage scenario of the target device; Determining a circuit control instruction according to the real-time load and the target voltage information; Executing the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

2. The data-driven intelligent power output regulation method according to claim 1, wherein The target device is a medical electronic device.

3. The data-driven intelligent power output regulation method according to claim 1, wherein The predicting the target voltage information of the target device according to the usage scenario of the target device includes: Obtaining sensing data sent by a sensing device arranged in the usage area of the target device; Predicting the usage scenario of the target device according to the sensing data; Determining the target voltage information of the target device according to the usage scenario.

4. The intelligent power output regulation method based on data driving according to claim 3, wherein The predicting the usage scenario of the target device according to the sensing data includes: Inputting each data part of different sensing types in the sensing data into a scenario prediction neural network corresponding to the corresponding sensing type to obtain a scenario prediction result corresponding to each data part; the scenario prediction neural network is trained by a training data set including training sensing data of the corresponding sensing type and corresponding scenario annotations; the sensing type is image, sound, light reflection information, temperature or humidity; Calculating the intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

5. The intelligent power output regulation method based on data driving according to claim 4, characterized in that The usage scenario includes a scenario type, a scenario area location, a usage object, a user, and a usage purpose.

6. The data-driven intelligent power output regulation method according to claim 3, wherein The determining the target voltage information of the target device according to the usage scenario includes: Screening out multiple historical records in the historical usage record database that partially or fully match the usage scenario; Calculating the normal range of the output voltage of the target device corresponding to each historical record; Calculating the average value of the intermediate values of all the normal ranges corresponding to the historical records to obtain the target voltage information of the target device.

7. The data-driven intelligent power output regulation method according to claim 1, wherein The determining a circuit control instruction according to the real-time load and the target voltage information includes: Determining the real-time output voltage corresponding to the real-time load according to the preset change relationship between the load and the voltage; Calculating the voltage difference between the real-time output voltage and the target voltage information; Determining a circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

8. The data-driven intelligent power output regulation method according to claim 7, wherein The determining a circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction includes: Judging whether the voltage difference is within the preset normal value range. If so, determining the circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the difference and the control instruction; If not, obtaining the historical voltage record of the target device in a historical time period; Calculating the average value of the voltage values in all the historical voltage records to obtain a correction weight; Multiplying the correction weight by the target voltage information to obtain corrected voltage information; Calculating the corrected voltage difference between the real-time output voltage and the corrected voltage information; Determine whether the corrected voltage difference is within the range of the normal value. If so, determine the circuit control instruction corresponding to the corrected voltage difference according to the corresponding relationship between the preset difference and the control instruction; the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction; If not, send an alarm instruction to the alarm module of the target device.

9. An intelligent power output regulation system based on data driving, characterized in that, The system includes: A detection module, configured to detect the real-time load of the target device through a sampling resistor when the target device is in use; A prediction module, configured to predict the target voltage information of the target device according to the usage scenario of the target device; A determination module, configured to determine a circuit control instruction according to the real-time load and the target voltage information; A control module, configured to execute the circuit control instruction to control the control circuit of the power supply of the target device until the voltage output by the power supply meets the target voltage information.

10. An intelligent power output regulation system based on data driving, characterized in that, The system includes: A memory storing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory and executes the data-driven intelligent power output regulation method according to any one of claims 1-8.

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