Data-driven intelligent power supply output adjustment method and system

Abstract

The application discloses a kind of data-driven based intelligent power output regulation method and system, the method includes: in target equipment use, the real-time load of the target equipment is detected by sampling resistance;According to the use scene of the target equipment, the target voltage information of the target equipment is predicted;According to the real-time load and the target voltage information, circuit control instruction is determined;The control circuit of the power supply of the target equipment is controlled by executing the circuit control instruction, until the voltage output by the power supply meets the target voltage information.It can be seen that the application can realize the accurate regulation of equipment voltage, improve the real-time and adaptability of power response, effectively reduce energy consumption and enhance the stability and safety of equipment operation.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of data processing, and in particular to an intelligent power supply output adjustment method and system based on data driving. BACKGROUND

[0002] In the prior art, electronic devices such as medical devices are usually powered by a power supply through a preset constant voltage to the target device. However, in actual operation, the load of the target device will dynamically change with the change of the use state and the working scene. The fixed voltage cannot meet the power supply demand in different scenes, which may lead to insufficient or excessive voltage, thereby affecting the device performance or damaging the circuit. Some solutions introduce a power supply adjustment mechanism, but they mostly rely on manual setting or static matching, and cannot realize rapid response to real-time load changes, resulting in high energy consumption and poor stability of the device, and insufficient compatibility in multiple scenes. It can be seen that the prior art has defects and needs to be solved. SUMMARY

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

[0004] To solve the above technical problems, the present application discloses an intelligent power supply output adjustment method based on data driving in the first aspect, which comprises:

[0005] When the target device is in use, the real-time load of the target device is detected by a sampling resistor;

[0006] According to the use scene of the target device, the target voltage information of the target device is predicted;

[0007] According to the real-time load and the target voltage information, a circuit control instruction is determined;

[0008] The circuit control instruction is executed 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.

[0009] As an optional implementation, in the first aspect of the present application, the target device is a medical electronic device.

[0010] As an optional implementation, in the first aspect of the present application, the target voltage information of the target device is predicted according to the use scene of the target device, which comprises:

[0011] Obtaining the sensing data sent by a sensing device arranged in the use area of the target device;

[0012] predict a usage scenario of the target device according to the sensing data;

[0013] determine target voltage information of the target device according to the usage scenario.

[0014] As an optional implementation, in the first aspect of the present application, the step of predicting a usage scenario of the target device according to the sensing data comprises:

[0015] inputting each data part of a different sensing type in the sensing data into a scenario prediction neural network corresponding to the 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 comprising training sensing data of the corresponding sensing type and corresponding scenario labels; the sensing type is image, sound, light reflection information, temperature or humidity;

[0016] calculating an intersection of the scenario prediction results corresponding to all data parts to obtain the usage scenario of the target device.

[0017] As an optional implementation, in the first aspect of the present application, the usage scenario comprises a scenario type, a scenario area position, a usage object, a user and a usage purpose.

[0018] As an optional implementation, in the first aspect of the present application, the step of determining target voltage information of the target device according to the usage scenario comprises:

[0019] filtering a plurality of historical records from a historical usage record database, which partially or wholly match the usage scenario;

[0020] calculating a normal interval of an output voltage of the target device corresponding to each historical record;

[0021] calculating an average value of a middle value of the normal intervals corresponding to all historical records to obtain the target voltage information of the target device.

[0022] As an optional implementation, in the first aspect of the present application, the step of determining a circuit control instruction according to the real-time load and the target voltage information comprises:

[0023] determining a real-time output voltage corresponding to the real-time load according to a preset change relationship between a load and a voltage;

[0024] calculating a voltage difference value between the real-time output voltage and the target voltage information;

[0025] determining a circuit control instruction according to the voltage difference value and a preset corresponding relationship between a difference value and a control instruction.

[0026] As an optional implementation, in the first aspect of the present application, the determining the circuit control instruction according to the voltage difference value and the preset correspondence between the voltage difference value and the control instruction comprises:

[0027] judging whether the voltage difference value is within a preset normal value range, if yes, determining the circuit control instruction corresponding to the voltage difference value according to the preset correspondence between the voltage difference value and the control instruction;

[0028] if no, obtaining historical voltage records of the target device in a historical time period;

[0029] calculating an average value of voltage values in all the historical voltage records to obtain a correction weight;

[0030] multiplying the correction weight with the target voltage information to obtain corrected voltage information;

[0031] calculating a corrected voltage difference value between the real-time output voltage and the corrected voltage information;

[0032] judging whether the corrected voltage difference value is within the normal value range, if yes, determining the circuit control instruction corresponding to the corrected voltage difference value according to the preset correspondence between the voltage difference value and the control instruction; the circuit control instruction comprises a transformer control instruction, a controller output instruction and a detection circuit control instruction;

[0033] if no, sending an alarm instruction to an alarm module of the target device.

[0034] The second aspect of the embodiment of the present application discloses an intelligent power output adjustment system based on data driving, which comprises:

[0035] a detection module, configured to detect a real-time load of a target device by a sampling resistor when the target device is in use;

[0036] a prediction module, configured to predict target voltage information of the target device according to a use scenario of the target device;

[0037] a determination module, configured to determine a circuit control instruction according to the real-time load and the target voltage information;

[0038] a control module, configured to execute the circuit control instruction to control a control circuit of a power supply of the target device until a voltage output by the power supply meets the target voltage information.

[0039] As an optional implementation, in the second aspect of the present application, the target device is a medical electronic device.

[0040] As an optional implementation, in the second aspect of the present application, the specific manner in which the prediction module predicts the target voltage information of the target device according to the use scenario of the target device comprises:

[0041] obtaining sensing data sent by a sensing device arranged in a use area of the target device;

[0042] predicting the use scenario of the target device according to the sensing data;

[0043] determining the target voltage information of the target device according to the use scenario.

[0044] As an optional implementation, in the second aspect of the present application, the specific manner in which the prediction module predicts the use scenario of the target device according to the sensing data comprises:

[0045] inputting each data part of a different sensing type in the sensing data into a scenario prediction neural network corresponding to the sensing type to obtain a scenario prediction result corresponding to each data part; the scenario prediction neural network is obtained by training a training data set comprising training sensing data of the corresponding sensing type and corresponding scenario labels; the sensing type is image, sound, light reflection information, temperature or humidity;

[0046] calculating the intersection of the scenario prediction results corresponding to all data parts to obtain the use scenario of the target device.

[0047] As an optional implementation, in the second aspect of the present application, the use scenario comprises a scenario type, a scenario area position, a use object, a user and a use purpose.

[0048] As an optional implementation, in the second aspect of the present application, the specific manner in which the prediction module determines the target voltage information of the target device according to the use scenario comprises:

[0049] filtering a plurality of historical records from a historical use record database that partially or wholly match the use scenario;

[0050] calculating a normal interval of the output voltage of the target device corresponding to each historical record;

[0051] calculating the average value of the middle values of the normal intervals corresponding to all historical records to obtain the target voltage information of the target device.

[0052] As an optional implementation, in the second aspect of the present application, the specific manner in which the determination module determines the circuit control instruction according to the real-time load and the target voltage information comprises:

[0053] determine a real-time output voltage corresponding to the real-time load according to a preset change relationship between the load and the voltage;

[0054] calculate a voltage difference between the real-time output voltage and the target voltage information;

[0055] determine a circuit control instruction according to the voltage difference and a preset corresponding relationship between the voltage difference and the control instruction.

[0056] As an optional implementation, in the second aspect, the specific manner of determining the circuit control instruction according to the voltage difference and the preset corresponding relationship between the voltage difference and the control instruction includes:

[0057] if the voltage difference is within a preset normal value range, determine a circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the voltage difference and the control instruction;

[0058] if not, obtain historical voltage records of the target device in a historical time period;

[0059] calculate an average value of voltage values in all the historical voltage records to obtain a correction weight;

[0060] multiply the correction weight by the target voltage information to obtain corrected voltage information;

[0061] calculate a corrected voltage difference between the real-time output voltage and the corrected voltage information;

[0062] if the corrected voltage difference is within the normal value range, determine a circuit control instruction corresponding to the corrected voltage difference according to the preset corresponding relationship between the voltage difference and the control instruction; the circuit control instruction includes a transformer control instruction, a controller output instruction and a detection circuit control instruction;

[0063] if not, send an alarm instruction to an alarm module of the target device.

[0064] A third aspect of the present application discloses another data-driven intelligent power output adjustment system, which comprises:

[0065] a memory storing executable program codes;

[0066] a processor coupled with the memory;

[0067] the processor invokes the executable program codes stored in the memory to execute part or all of the steps of the data-driven intelligent power output adjustment method disclosed in the first aspect of the present application.

[0068] The fourth aspect of the present application discloses a computer storage medium, the computer storage medium stores computer instructions, when the computer instructions are invoked, part or all steps of the data-driven intelligent power output adjustment method disclosed by the first aspect of the present application are executed.

[0069] Compared with the prior art, the embodiments of the present application have the following beneficial effects:

[0070] In the use process of the target device, the load information detected by the sampling resistor is collected in real time, and the target voltage required is predicted in combination with the current use scene of the device, the circuit control instruction is determined by the real-time load and the target voltage information, the power control circuit is further driven for dynamic adjustment until the power output voltage meets the predicted target value, so that the device voltage can be accurately adjusted, the real-time and adaptability of the power response are improved, the energy consumption is effectively reduced, and the stability and safety of the device operation are enhanced. BRIEF DESCRIPTION OF DRAWINGS

[0071] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0072] Figure 1 is a flow diagram of the data-driven intelligent power output adjustment method disclosed by the embodiments of the present application.

[0073] Figure 2 is a structural diagram of the data-driven intelligent power output adjustment system disclosed by the embodiments of the present application.

[0074] Figure 3 is a structural diagram of another data-driven intelligent power output adjustment system disclosed by the embodiments of the present application. DETAILED DESCRIPTION

[0075] In order to make the person skilled in the art better understand the present application, the technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings of the embodiments of the present application. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0076] The terms "first", "second", and the like in the description and in the claims of the present application and above-described drawings are used to distinguish different objects, and are not used to describe a particular sequential order. In addition, the terms "comprise" and "have" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, device, product, or equipment including a series of steps or units is not limited to the listed steps or units, but can optionally further include steps or units not listed, or can optionally further include other steps or units inherent to these processes, methods, products, or equipment.

[0077] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment can be included in at least one embodiment of the application. The appearance of the phrase in various places in the specification does not necessarily all refer to the same embodiment, nor is it necessarily independent or alternative embodiments to other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0078] The application discloses a data-driven intelligent power output adjustment method and system. During use of a target device, real-time load information detected by a sampling resistor is collected, and a target voltage required by the device is predicted according to a current use scenario of the device. Circuit control instructions are determined according to the real-time load and the target voltage information, and a power control circuit is further driven for dynamic adjustment until the power output voltage meets the predicted target value, so that accurate adjustment of the device voltage can be realized, the real-time performance and adaptability of the power response are improved, energy consumption is effectively reduced, and the stability and safety of device operation are enhanced. The following will be described in detail.

[0079] Embodiment one

[0080] Please refer to Figure 1 , Figure 1 is a flowchart of a data-driven intelligent power output adjustment method disclosed by an embodiment of the application. Wherein, Figure 1 The data-driven intelligent power output adjustment method described can be applied in 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 data-driven intelligent power output adjustment method can include the following operations:

[0081] 101. When the target device is in use, the real-time load of the target device is detected by a sampling resistor.

[0082] 102. According to the use scenario of the target device, the target voltage information of the target device is predicted.

[0083] 103. determining the circuit control instruction according to the real-time load and the target voltage information.

[0084] 104. 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.

[0085] It can be seen that, in the use of the target device, the above-mentioned embodiments of the application collect the load information detected by the sampling resistor in real time, predict the target voltage required in combination with the current use scenario of the device, determine the circuit control instruction according to the real-time load and the target voltage information, further drive the power supply control circuit to make dynamic adjustment until the power supply output voltage meets the predicted target value, so as to realize accurate adjustment of the device voltage, 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.

[0086] As an optional embodiment, in the above-mentioned steps, the target device is a medical electronic device.

[0087] It can be seen that, through the above-mentioned optional embodiment, the target device is limited to a medical electronic device, so as to facilitate the control of the medical device by the scheme of the application, assist in realizing accurate 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.

[0088] As an optional embodiment, in the above-mentioned steps, the target voltage information of the target device is predicted according to the use scenario of the target device, including:

[0089] obtaining sensing data sent by a sensing device arranged in a use area of the target device;

[0090] predicting the use scenario of the target device according to the sensing data;

[0091] determining the target voltage information of the target device according to the use scenario.

[0092] It can be seen that, through the above-mentioned optional embodiment, by obtaining the sensing data sent by the sensing device arranged in the use area of the target device, the current use scenario of the target device is predicted in combination with the sensing data, and the target voltage information is determined based on the use scenario, so as to realize intelligent perception of the environment and actual working state of the target device, and dynamically adjust the power supply parameters according to the use demand, thereby improving the accuracy and adaptability of voltage regulation and further improving the stability of device operation and energy use efficiency.

[0093] As an optional embodiment, in the above-mentioned steps, the use scenario of the target device is predicted according to the sensing data, including:

[0094] inputting each data part of a different sensing type in the sensing data into a scene prediction neural network corresponding to the sensing type to obtain a scene prediction result corresponding to each data part; optionally, the scene prediction neural network is obtained by training a training data set including training sensing data of the corresponding sensing type and corresponding scene labels; the sensing type is image, sound, light reflection information, temperature or humidity;

[0095] calculating an intersection of the scene prediction results corresponding to all data parts to obtain a use scene of the target device.

[0096] It can be seen that, by inputting different types of sensing data into the corresponding scene prediction neural network, obtaining the scene prediction result corresponding to each type of sensing data, and determining the final use scene by intersection calculation, the multi-modal environmental perception information can be fully integrated, the accuracy and robustness of scene recognition can be improved, and the precise determination of the running environment of the target device can be realized, thereby providing a reliable basis for subsequent dynamic power supply control and improving the intelligent level and response efficiency of the overall system.

[0097] As an optional embodiment, in the above steps, the use scene includes a scene type, a scene area position, a use object, a user and a use purpose.

[0098] It can be seen that, by limiting the content of the use scene in the above optional embodiment, accurate voltage control can be facilitated to assist in precise adjustment of the voltage of the 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.

[0099] As an optional embodiment, in the above steps, determining the target voltage information of the target device according to the use scene includes:

[0100] filtering a plurality of historical records partially or wholly matched with the use scene from the historical use record database;

[0101] calculating a normal interval of the output voltage of the target device corresponding to each historical record;

[0102] calculating an average value of the middle values of the normal intervals corresponding to all historical records to obtain the target voltage information of the target device.

[0103] It can be seen that, by the above optional embodiments, by screening the historical records matching the current use scenario in part or in whole in the historical use record database, determining the normal voltage interval based on the output voltage of the target device in each historical record, and performing average median processing on all normal intervals to obtain the target voltage information, the existing data can be fully utilized to improve the prediction accuracy of the target voltage, the scene adaptability and statistical robustness are considered, thereby improving the accuracy of subsequent power supply control and the stability of the system, and avoiding device operation abnormity or energy waste caused by voltage deviation.

[0104] As an optional embodiment, in the above step, the circuit control instruction is determined according to the real-time load and the target voltage information, including:

[0105] determining the real-time output voltage corresponding to the real-time load according to the preset change relationship between the load and the voltage;

[0106] calculating the voltage difference between the real-time output voltage and the target voltage information;

[0107] determining the circuit control instruction according to the voltage difference and the preset corresponding relationship between the difference and the control instruction.

[0108] It can be seen that, by the above optional embodiments, the output voltage corresponding to the real-time load is dynamically calculated according to the preset change relationship between the load and the voltage, the voltage difference is determined in combination with the target voltage information, and the circuit control instruction is further generated according to the preset corresponding relationship between the difference and the control instruction, so that fine adjustment of the output voltage can be realized, the response speed and accuracy of power supply regulation are improved, the target device is always kept in a stable working voltage interval in different use states, and the overall energy efficiency and device reliability are improved.

[0109] As an optional embodiment, in the above step, the circuit control instruction is determined according to the voltage difference and the preset corresponding relationship between the difference and the control instruction, including:

[0110] determining whether the voltage difference is within a preset normal value range, if yes, determining the circuit control instruction corresponding to the voltage difference according to the preset corresponding relationship between the difference and the control instruction;

[0111] if not, obtaining the historical voltage records of the target device in a historical time period;

[0112] calculating the average value of the voltage values in all historical voltage records to obtain a correction weight;

[0113] multiplying the correction weight and the target voltage information to obtain corrected voltage information;

[0114] calculating the corrected voltage difference between the real-time output voltage and the corrected voltage information;

[0115] determining whether the corrected voltage difference is within a normal value range, and if so, determining a circuit control instruction corresponding to the corrected voltage difference according to a preset correspondence between differences and control instructions; optionally, the circuit control instruction includes a transformer control instruction, a controller output instruction, and a detection circuit control instruction;

[0116] if not, sending an alarm instruction to an alarm module of the target device.

[0117] It can be seen that, through the above optional embodiments, by determining whether the real-time voltage difference is within the normal range, the correction weight is generated by combining the historical voltage record, the target voltage information is corrected, and more accurate circuit control instructions are generated based on the corrected voltage difference, which can effectively deal with real-time load abnormalities or mutations, improve the robustness and stability of voltage control, trigger an alarm in the case of serious abnormalities, enhance the system fault perception and safety protection capability, and ensure the continuous and reliable operation of the target device under complex working conditions.

[0118] Embodiment Two

[0119] Please refer to Figure 2 , Figure 2 is a structural schematic diagram of an intelligent power supply output adjustment system based on data driving disclosed by an embodiment of the present application. Among them, Figure 2 The data-driven intelligent power supply output adjustment system described can be applied in 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 data-driven intelligent power supply output adjustment system can include:

[0120] The detection module 201 is configured to detect the real-time load of the target device by sampling resistance when the target device is in use.

[0121] The prediction module 202 is configured to predict the target voltage information of the target device according to the use scenario of the target device.

[0122] The determination module 203 is configured to determine the circuit control instruction according to the real-time load and the target voltage information.

[0123] The control module 204 is 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.

[0124] It can be seen that in the use process of the target device, the above-mentioned embodiments of the application collect the load information detected by the sampling resistor in real time, predict the target voltage required in combination with the current use scene of the device, determine the circuit control instruction through the real-time load and the target voltage information, and further drive the power supply control circuit to perform dynamic adjustment until the power output voltage meets the predicted target value, so as to realize accurate adjustment of the device voltage, 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.

[0125] As an optional embodiment, the target device is a medical electronic device.

[0126] It can be seen that through the above-optional embodiment, the target device is limited to a medical electronic device, so as to control the medical device through the scheme of the application, assist in realizing accurate 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.

[0127] As an optional embodiment, the specific manner in which the prediction module predicts the target voltage information of the target device according to the use scene of the target device includes:

[0128] Obtaining sensing data sent by a sensing device arranged in a use area of the target device;

[0129] Predicting the use scene of the target device according to the sensing data;

[0130] Determining the target voltage information of the target device according to the use scene.

[0131] It can be seen that through the above-optional embodiment, by obtaining the sensing data sent by the sensing device arranged in the use area of the target device, the current use scene of the target device is predicted in combination with the sensing data, and the target voltage information is determined based on the use scene, so as to realize intelligent perception of the environment and the actual working state of the target device, and dynamically adjust the power supply parameters according to the use demand, thereby improving the accuracy and adaptability of voltage regulation and further improving the stability of device operation and energy use efficiency.

[0132] As an optional embodiment, the specific manner in which the prediction module predicts the use scene of the target device according to the sensing data includes:

[0133] Inputting each different sensing type data part in the sensing data into a scene prediction neural network corresponding to the corresponding sensing type, to obtain a scene prediction result corresponding to each data part; optionally, the scene prediction neural network is obtained through training of a training data set including training sensing data of the corresponding sensing type and corresponding scene labels; the sensing type is an image, a sound, light reflection information, a temperature or a humidity;

[0134] The intersection of the scene prediction results corresponding to all data parts is calculated to obtain the usage scenario of the target device.

[0135] As can be seen, through the above optional embodiments, by inputting different types of sensor data into their corresponding scene prediction neural networks, obtaining the scene prediction results corresponding to each type of sensor data, and determining the final application scenario through intersection calculation, it is possible to fully integrate multimodal environmental perception information, improve the accuracy and robustness of scene recognition, thereby achieving accurate determination of the target device's operating environment, providing a reliable basis for subsequent dynamic power supply control, and improving the overall system's intelligence level and response efficiency.

[0136] As an optional embodiment, the use case includes the scene type, scene area location, target audience, user, and purpose of use.

[0137] As can be seen, the above optional embodiments limit the scope of application scenarios to facilitate precise voltage control, assist in the accurate adjustment of device voltage, improve the real-time performance and adaptability of power supply response, effectively reduce energy consumption, and enhance the stability and safety of device operation.

[0138] As an optional embodiment, the prediction module determines the specific method for determining the target voltage information of the target device based on the usage scenario, including:

[0139] Filter out multiple historical records from the historical usage database that partially or completely match the usage scenario;

[0140] Calculate the normal range of the target device's output voltage for each historical record;

[0141] Calculate the average of the median values ​​of all historical data corresponding to the normal intervals to obtain the target voltage information of the target device.

[0142] As can be seen, through the above optional embodiments, by filtering historical records that partially or completely match the current usage scenario in the historical usage record database, determining the normal voltage range based on the output voltage of the target device in each historical record, and averaging the median of 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 both scenario adaptability and statistical robustness, thereby improving the accuracy of subsequent power supply control and system stability, and avoiding equipment malfunctions or energy waste caused by voltage deviations.

[0143] As an optional embodiment, the determining module determines the specific method of the circuit control command based on the real-time load and target voltage information, including:

[0144] Based on the preset relationship between load and voltage, determine the real-time output voltage corresponding to the real-time load;

[0145] Calculate the voltage difference between the real-time output voltage and the target voltage information;

[0146] Based on the voltage difference and the preset correspondence between the difference and the control command, the circuit control command is determined.

[0147] As can be seen, through the above optional embodiments, the output voltage corresponding to the real-time load is dynamically calculated based on the preset relationship between load and voltage, and the voltage difference is determined in combination with the target voltage information. Furthermore, circuit control commands are generated based on the preset correspondence between the difference and control commands. This enables fine adjustment of the output voltage, improves the response speed and accuracy of power supply regulation, ensures that the target equipment is always in a stable operating voltage range under different usage conditions, and improves overall energy efficiency and equipment reliability.

[0148] As an optional embodiment, the determining module determines the specific method of the circuit control command based on the voltage difference and a preset correspondence between the difference and the control command, including:

[0149] Determine whether the voltage difference is within the preset normal value range. If so, determine the circuit control command corresponding to the voltage difference based on the preset correspondence between the difference and the control command.

[0150] If not, obtain the historical voltage record of the target device within the historical time period;

[0151] Calculate the average voltage value from all historical voltage records to obtain the corrected weight;

[0152] The corrected voltage information is obtained by multiplying the corrected weights by the target voltage information.

[0153] Calculate the correction voltage difference between the real-time output voltage and the correction voltage information;

[0154] Determine whether the corrected voltage difference is within the normal range. If so, determine the circuit control command corresponding to the corrected voltage difference based on the preset correspondence between the difference and the control command. Optionally, the circuit control command includes transformer control command, controller output command and detection circuit control command.

[0155] If not, send an alarm command to the alarm module of the target device.

[0156] As can be seen, through the above optional embodiments, by judging whether the real-time voltage difference is within the normal range, and combining it with historical voltage records to generate correction weights, the target voltage information is corrected. Based on the corrected voltage difference, more accurate circuit control commands are generated, which can effectively cope with real-time load anomalies or sudden changes, improve the robustness and stability of voltage control, and trigger alarms 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 equipment under complex working conditions.

[0157] Example 3

[0158] Please see Figure 3 , Figure 3 This is another data-driven intelligent power output regulation system disclosed in the embodiments of the present invention. Figure 3 The described data-driven intelligent power output regulation system is applied in data processing systems / data processing equipment / data processing servers (wherein, the server includes a local processing server or a cloud processing server). For example... Figure 3 As shown, the data-driven intelligent power output regulation system may include:

[0159] Memory 301 storing executable program code;

[0160] Processor 302 coupled to memory 301;

[0161] The processor 302 calls the executable program code stored in the memory 301 to execute the steps of the data-driven intelligent power output regulation method described in Embodiment 1.

[0162] Example 4

[0163] This invention discloses a computer read storage medium that stores a computer program for electronic data interchange, wherein the computer program causes a computer to execute the steps of the data-driven intelligent power output regulation method described in Embodiment 1.

[0164] Example 5

[0165] This 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 perform the steps of the data-driven intelligent power output regulation method described in Embodiment 1.

[0166] The foregoing has described specific embodiments of this specification; other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily have to follow the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0167] The systems, devices, modules, or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer. Specifically, a computer can be, for example, a personal computer, laptop computer, cellular phone, camera phone, smartphone, personal digital assistant, media player, navigation device, email device, game console, tablet computer, wearable device, or any combination of these devices.

[0168] For ease of description, the above devices are described in terms of function, divided into various units. Of course, in implementing this specification, the functions of each unit can be implemented in one or more software and / or hardware.

[0169] Those skilled in the art will understand that the embodiments of this specification can be provided as methods, systems, or computer program products. Therefore, the embodiments of this specification can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the embodiments of this specification can take the form of a computer program product implemented on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0170] This specification is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this specification. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0171] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0172] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0173] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0174] Memory may include non-persistent storage in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0175] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, 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 technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0176] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0177] This specification can be described in the general context of computer-executable instructions that are executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc., that perform a specific task or implement a specific abstract data type. This specification can also be practiced in distributed computing environments, where tasks are performed by remote processing devices connected via a communication network. In distributed computing environments, program modules can reside in local and remote computer storage media, including storage devices.

[0178] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to interchangeably. Each embodiment focuses on describing the differences from other embodiments. In particular, the system embodiments are basically similar to the method embodiments, so the description is relatively simple; relevant parts can be referred to the descriptions in the method embodiments.

[0179] Finally, it should be noted that the data-driven intelligent power output regulation method and system disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A data-driven intelligent power output regulation method, characterized in that, The method includes: When the target device is in use, the real-time load of the target device is detected by sampling resistor; Based on the usage scenario of the target device, predict the target voltage information of the target device, including: Acquire sensing data sent by a sensing device located in the usage area of ​​the target device; Each data segment of a different sensor type in the sensor data is input into the scene prediction neural network corresponding to the sensor type to obtain the scene prediction result corresponding to each data segment; the scene prediction neural network is trained by a training dataset including training sensor data of the corresponding sensor type and corresponding scene annotations; the sensor type is image, sound, light reflection information, temperature or humidity; The intersection of the scene prediction results corresponding to all data parts is calculated to obtain the usage scenario of the target device; Filter out multiple historical records from the historical usage record database that partially or completely match the stated usage scenario; Calculate the normal range of the output voltage of the target device corresponding to each of the historical records; Calculate the average of the median values ​​of all the normal intervals corresponding to the historical records to obtain the target voltage information of the target device; Based on the real-time load and the target voltage information, determine the circuit control command; The circuit control command is executed to control the power supply control circuit 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, characterized in that, The target device is a medical electronic device.

3. The data-driven intelligent power output regulation method according to claim 1, characterized in that, The usage scenarios include scenario type, scenario location, target audience, user, and purpose of use.

4. The data-driven intelligent power output regulation method according to claim 1, characterized in that, The step of determining circuit control commands based on the real-time load and the target voltage information includes: Based on the preset relationship between load and voltage, determine the real-time output voltage corresponding to the real-time load; Calculate the voltage difference between the real-time output voltage and the target voltage information; Based on the voltage difference and the preset correspondence between the difference and the control command, the circuit control command is determined.

5. The data-driven intelligent power output regulation method according to claim 4, characterized in that, The step of determining the circuit control command based on the voltage difference and a preset correspondence between the difference and the control command includes: Determine whether the voltage difference is within a preset normal value range. If so, determine the circuit control command corresponding to the voltage difference based on the preset correspondence between the difference and the control command. If not, obtain the historical voltage record of the target device during the historical time period; Calculate the average voltage value from all the historical voltage records to obtain the corrected weight; The corrected voltage information is obtained by multiplying the corrected weights with the target voltage information. Calculate the correction voltage difference between the real-time output voltage and the correction voltage information; Determine whether the corrected voltage difference is within the normal value range. If so, determine the circuit control command corresponding to the corrected voltage difference based on the preset correspondence between the difference and the control command. The circuit control command includes transformer control command, controller output command, and detection circuit control command. If not, send an alarm command to the alarm module of the target device.

6. A data-driven intelligent power output regulation system, characterized in that, The system includes: The detection module is used to detect the real-time load of the target device by sampling resistor when the target device is in use; The prediction module is used to predict the target voltage information of the target device based on the usage scenario of the target device, including: Acquire sensing data sent by a sensing device located in the usage area of ​​the target device; Each data segment of a different sensor type in the sensor data is input into the scene prediction neural network corresponding to the sensor type to obtain the scene prediction result corresponding to each data segment; the scene prediction neural network is trained by a training dataset including training sensor data of the corresponding sensor type and corresponding scene annotations; the sensor type is image, sound, light reflection information, temperature or humidity; The intersection of the scene prediction results corresponding to all data parts is calculated to obtain the usage scenario of the target device; Filter out multiple historical records from the historical usage record database that partially or completely match the stated usage scenario; Calculate the normal range of the output voltage of the target device corresponding to each of the historical records; Calculate the average of the median values ​​of all the normal intervals corresponding to the historical records to obtain the target voltage information of the target device; The determination module is used to determine circuit control commands based on the real-time load and the target voltage information; The control module is used to execute the circuit control instructions to control the power supply control circuit of the target device until the voltage output by the power supply meets the target voltage information.

7. A data-driven intelligent power output regulation system, characterized in that, The system includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the data-driven intelligent power output regulation method as described in any one of claims 1-5.

Images