CN114598006B - Software driving processing method based on artificial intelligence and cloud platform - Google Patents
Software driving processing method based on artificial intelligence and cloud platform Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
- H02J7/00045—Authentication, i.e. circuits for checking compatibility between one component, e.g. a battery or a battery charger, and another component, e.g. a power source
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- G—PHYSICS
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- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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- H02J7/00032—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries characterised by data exchange
- H02J7/00034—Charger exchanging data with an electronic device, i.e. telephone, whose internal battery is under charge
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- H—ELECTRICITY
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- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/0071—Regulation of charging or discharging current or voltage with a programmable schedule
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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Abstract
The invention discloses a software driving processing method based on artificial intelligence and a cloud platform, and relates to the technical field of artificial intelligence, wherein the software driving processing method based on artificial intelligence comprises the following steps: acquiring distributable voltage and electric quantity consumption trend parameters of a target powered device; acquiring a first historical electric quantity use trend from the electric quantity consumption trend parameters; then, acquiring a current electric quantity consumption trend and an energy consumption correction parameter of the powered device, acquiring a first power consumption coefficient and a second power consumption coefficient, and calculating a predicted power consumption trend; and acquiring a charging voltage adjustment coefficient, and acquiring a charging result of the target powered device according to the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient so as to quickly charge the target powered device.
Description
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a software driving processing method based on artificial intelligence and a cloud platform.
Background
Artificial Intelligence (Artificial Intelligence), abbreviated in english as AI. The method is a new technical science for researching and developing theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. At present, a software-driven processing rapid charging scheme based on a PD protocol and artificial intelligence has been gradually popularized in application scenarios of various intelligent devices as a mature technology. In actual conditions, different devices have respective hardware loss conditions along with factors such as the type, the age, the charging habit, the use environment and the like of the device used by a user, abnormal loss of device hardware can be caused by adopting a uniformly configured software-driven rapid charging mode based on the PD protocol and the artificial intelligence, and the uniform rapid charging mode cannot be adapted.
In view of this, it is necessary for those skilled in the art to provide a PD protocol and artificial intelligence-based software-driven process fast charging method for different devices.
Disclosure of Invention
The invention discloses a software driving processing method based on artificial intelligence and a cloud platform.
In a first aspect, an embodiment of the present invention provides a software-driven processing method based on artificial intelligence, which is applied to a computer device, where the computer device is in communication connection with multiple powered devices, and the method includes:
acquiring an allocable voltage of a target powered device in a prediction time range;
acquiring a power consumption trend parameter, wherein the power consumption trend parameter comprises a historical power usage trend of a target powered device;
acquiring a first power consumption time range, wherein the first power consumption time range is a time period between the first electric quantity detection timestamp and the current moment, and is longer than or equal to the prediction time range;
acquiring a first historical electric quantity use trend corresponding to a first power consumption time range from the electric quantity consumption trend parameters;
acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment;
acquiring a power receiving equipment energy consumption correction parameter of a target power receiving equipment in a prediction time range;
determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device;
determining a second power consumption coefficient corresponding to the first historical electric quantity use trend;
calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in a predicted time range;
acquiring a first power consumption mean value and a first power consumption true value of a target powered device in a historical time range;
generating a charging voltage adjustment coefficient according to a first difference value between a first electricity consumption mean value and a first electricity consumption true value, wherein a historical time range is a time period between a second electricity detection timestamp and a current moment, and the first electricity detection timestamp is earlier than the second electricity detection timestamp;
obtaining a charging mode of the target powered device in a prediction time range according to the distributable voltage, the prediction power consumption trend and the charging voltage adjustment coefficient;
and generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result.
Optionally, the obtaining of the power device energy consumption correction parameter of the target power device in the predicted time range includes:
determining a target historical time range corresponding to the predicted time range;
acquiring a third history electric quantity use trend corresponding to the target history time range from the electric quantity consumption trend parameters;
determining a predicted power consumption trend of the target powered device in the predicted time range according to the third history power usage trend;
determining the average value of the predicted power consumption trend in the prediction time range as the predicted average power consumption trend;
acquiring a power consumption time range of a second historical time range;
determining historical timestamps corresponding to the current moment in a power consumption time range of a second historical time range, and acquiring second historical power consumption trends corresponding to the historical timestamps from the power consumption trend parameters;
respectively calculating deviation values of the predicted average power consumption trend and each second historical electric quantity use trend, and determining the sum of the calculated deviation values to obtain a target deviation value sum;
and calculating a ratio of the target offset value to the power consumption time range relative to the second historical time range, and determining the calculated ratio as the power consumption correction parameter of the powered device.
Optionally, the computer device is further connected to the power supply device in a communication manner, and acquires an assignable voltage of the target powered device within the predicted time range, including:
acquiring a charging configuration strategy of a power supply device, wherein the power supply device corresponds to at least one charging voltage configuration strategy, and the charging voltage configuration strategy corresponds to at least one powered device including a target powered device;
acquiring a charging configuration strategy corresponding to each charging voltage distribution strategy according to the charging configuration strategy of the power supply equipment;
determining a charging configuration strategy of the target powered device according to the charging configuration strategy corresponding to each charging voltage distribution strategy;
determining a total allocable voltage of the target powered device according to a charging configuration policy of the target powered device;
acquiring a power utilization condition analysis report of a target powered device;
acquiring the predicted power consumption content of the target powered device in the predicted time range according to the power consumption condition analysis report;
acquiring the expected charging duration of the target powered device according to the total distributable voltage;
acquiring the current power consumption content of the target powered device in the expected charging duration;
calculating the ratio of the predicted power consumption content to the current power consumption content to obtain a voltage configuration weight;
and determining the product of the total assignable voltage and the voltage allocation weight as the assignable voltage of the target powered device in the prediction time range.
Optionally, the charging voltage adjustment coefficient is a charging voltage scaling coefficient;
generating a charging voltage adjustment factor according to a first difference between a first power consumption average value and a first power consumption true value, comprising:
acquiring a preset proportionality coefficient;
and generating a charging voltage proportionality coefficient according to the product of the first difference value and the proportionality coefficient.
Optionally, the charging voltage adjustment coefficient is a charging voltage differential coefficient;
generating a charging voltage adjustment factor according to a first difference between a first power consumption average value and a first power consumption true value, comprising:
acquiring a power consumption time range of a third history time range, wherein the power consumption time range of the third history time range is a time period adjacent to the history time range;
acquiring a second power consumption mean value and a second power consumption true value of the target powered device in the power consumption time range of the third history time range;
determining a second difference between the second average charge consumption value and the second true charge consumption value;
obtaining a differential parameter of the target powered device according to the first difference value and the second difference value;
acquiring a preset voltage differential coefficient;
a charge voltage differential coefficient is generated based on a product of the differential parameter and the voltage differential coefficient.
Optionally, obtaining a charging mode of the target powered device in the predicted time range according to the assignable voltage, the predicted power consumption trend, and the charging voltage adjustment coefficient includes:
acquiring a charging voltage distribution strategy and power supply equipment corresponding to target powered equipment;
acquiring a target charging voltage distribution strategy and target power supply equipment corresponding to target powered equipment;
acquiring a third electric quantity consumption average value and a third electric quantity consumption true value of the target charging voltage distribution strategy in a historical time range;
generating a strategy adjustment vector according to a third difference value between the third electric quantity consumption mean value and the third electric quantity consumption true value;
acquiring a fourth electric quantity consumption mean value and a fourth electric quantity consumption true value of the target power supply equipment in a historical time range;
generating a supply voltage vector according to a fourth difference value between the fourth average power consumption value and the fourth true power consumption value;
generating a charging configuration vector according to the charging voltage adjustment coefficient, the strategy adjustment vector and the power supply voltage vector;
and obtaining a charging mode according to the distributable voltage, the predicted power consumption trend and the charging configuration vector.
Optionally, after the target powered device is rapidly charged according to the charging result, the method further includes:
acquiring the current consumption trend of the electric quantity of the target powered device after rapid charging;
acquiring target power supply equipment corresponding to target powered equipment;
and adjusting the charging configuration strategy of the target power supply equipment according to the current consumption trend of the electric quantity.
Optionally, before obtaining the charging configuration policy of the power supply device, the method further includes:
responding to the access request of the target powered device, and displaying an information acquisition interface of the powered device;
the method comprises the steps of responding to a device parameter privacy protocol agreement indication of a target powered device triggered by a user on a powered device information acquisition interface, and acquiring device parameters of the target powered device which the user allows to check;
performing detection allowing access to a charging management device on device parameters of a target powered device, and respectively sending an operation data request containing the device parameters of the target powered device to a power supply storage space corresponding to each historical charging operation;
receiving power supply equipment identifications corresponding to equipment currently running corresponding historical charging operations, returned by the power supply storage spaces based on the operation data requests;
updating the power supply equipment identifier associated with the equipment parameter of the target powered equipment and the reference charging configuration policy associated with the equipment corresponding to each power supply equipment identifier according to the acquired power supply equipment identifiers and the reference charging configuration policy operated on the equipment corresponding to each power supply equipment identifier;
displaying, in a powered device information management interface, updated power supply device identifiers associated with device parameters of a target powered device and reference charging configuration policies associated with devices corresponding to the power supply device identifiers, where the powered device information management interface includes at least one power supply device identifier associated with device parameters of the target powered device, reference charging configuration policies associated with devices corresponding to the power supply device identifiers, and operation data of historical charging operations associated with the power supply device identifiers;
responding to the data sharing instruction, and sending a packaging return request to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to exit and packages and returns the equipment corresponding to each power supply equipment identifier associated with each power supply equipment identifier based on the packaging return request; or,
responding to a data sharing instruction, and sending a packaging return request to a power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply equipment identifier to exit and packages and returns equipment corresponding to the specified power supply equipment identifier based on the packaging return request; or,
responding to a data sharing instruction, sending a packaging return request to a power supply storage space corresponding to each appointed historical charging operation, enabling each power supply storage space to control the appointed historical charging operation to exit and package and return equipment corresponding to the appointed power supply equipment identification based on the packaging return request, and displaying operation data of at least one historical charging operation as returned in a powered equipment information management interface;
and determining a charging configuration strategy according to at least one historical charging operation.
Optionally, the method further comprises:
responding to a charging management record indication of the powered device, and displaying an information acquisition interface of the powered device;
the method comprises the steps of responding to a device parameter privacy protocol agreement indication of a target powered device triggered by a user on a powered device information acquisition interface, and acquiring device parameters of the target powered device of the user;
sending the device parameters of the target powered device to a security verification server, so that the security verification server performs access permission detection on the device parameters of the target powered device to the charging management device;
receiving a record identification returned by the security verification server, and displaying a setting page when the record identification represents that the verification is passed;
responding to a power supply equipment selection instruction triggered by a user on a setting page, and sending a privacy data interaction instruction to each power supply storage space;
receiving each reference charging configuration strategy related to the device parameter of the target powered device and power supply device identification respectively related to each reference charging configuration strategy, wherein the power supply storage space is returned based on the received private data interaction indication;
displaying each power supply equipment identifier and a reference charging configuration strategy associated with each power supply equipment identifier on a setting page;
after displaying the powered device information management interface, the method further includes:
responding to the power supply service termination indication, sending a termination association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to terminate data interaction from the equipment corresponding to each associated power supply equipment identifier based on the termination association indication; or responding to the device termination data interaction indication, and sending a termination association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply device identifier to terminate data interaction from the device corresponding to the specified power supply device identifier based on the termination association indication; or,
responding to the user-defined termination data interaction indication, sending a termination association indication to the power supply storage space corresponding to each appointed historical charging operation, and enabling each power supply storage space to control the appointed historical charging operation to terminate data interaction from the equipment corresponding to the appointed power supply equipment identifier based on the termination association indication;
the method further comprises the following steps:
responding to the power supply restoration service indication, sending a restoration association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space performs the setting operation of canceling the equipment corresponding to each power supply equipment identifier related to each packaging return transmission on the basis of the restoration association indication; or,
responding to the recovery data interaction indication, sending a recovery association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space executes the setting operation of cancelling the equipment corresponding to each packaging and returning appointed power supply equipment identification based on the recovery association indication; or,
and responding to the user-defined login recovery operation, sending a recovery association instruction to the power supply storage space corresponding to each appointed historical charging operation, so that each power supply storage space executes the setting operation of canceling the equipment corresponding to the appointed packaging and return appointed power supply equipment identifier based on the recovery association instruction.
In a second aspect, an embodiment of the present invention provides a software-driven processing cloud platform based on artificial intelligence, which is applied to a computer device, where the computer device is in communication connection with a plurality of powered devices, and the cloud platform includes:
an obtaining module, configured to obtain an allocable voltage of a target powered device within a predicted time range; acquiring a power consumption trend parameter, wherein the power consumption trend parameter comprises a historical power consumption trend of a target powered device; acquiring a first power consumption time range, wherein the first power consumption time range is a time period between a first power detection timestamp and the current time, and is longer than or equal to the prediction time range; acquiring a first historical electric quantity use trend corresponding to a first power consumption time range from the electric quantity consumption trend parameters; acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment; acquiring a power receiving equipment energy consumption correction parameter of a target power receiving equipment in a prediction time range;
the determining module is used for determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device; determining a second power consumption coefficient corresponding to the first historical electric quantity use trend; calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in a predicted time range; acquiring a first power consumption mean value and a first power consumption true value of a target powered device in a historical time range; generating a charging voltage adjustment coefficient according to a first difference value between a first electricity consumption mean value and a first electricity consumption true value, wherein a historical time range is a time period between a second electricity detection timestamp and a current moment, and the first electricity detection timestamp is earlier than the second electricity detection timestamp;
the charging module is used for obtaining a charging mode of the target powered device in a prediction time range according to the distributable voltage, the prediction power consumption trend and the charging voltage adjustment coefficient; and generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result.
Compared with the prior art, the invention has the beneficial effects that: by adopting the software driving processing method and the cloud platform based on artificial intelligence provided by the embodiment of the invention, the distributable voltage of the target powered device in the prediction time range is obtained; then acquiring power consumption trend parameters, wherein the power consumption trend parameters comprise historical power usage trends of the target powered device; acquiring a first power consumption time range, wherein the first power consumption time range is a time period between the first electric quantity detection timestamp and the current moment, and is longer than or equal to the prediction time range; then, acquiring a first historical electric quantity use trend corresponding to the first power consumption time range from the electric quantity consumption trend parameters; then, acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment; acquiring a power receiving equipment energy consumption correction parameter of the target power receiving equipment in the prediction time range; then, determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device; then determining a second power consumption coefficient corresponding to the first historical electric quantity use trend; calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in a predicted time range; then, a first electric quantity consumption mean value and a first electric quantity consumption true value of the target powered device in the historical time range are obtained; generating a charging voltage adjustment coefficient according to a first difference value between a first electric quantity consumption average value and a first electric quantity consumption true value, wherein the historical time range is a time period between a second electric quantity detection timestamp and the current moment, and the first electric quantity detection timestamp is earlier than the second electric quantity detection timestamp; further, according to the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient, a charging mode of the target powered device in the predicted time range is obtained; and finally generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result, wherein the aim of software-driven processing of rapid charging of different powered devices based on PD protocols and artificial intelligence is fulfilled by ingeniously utilizing the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient through the steps.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required to be used in the embodiments will be briefly described below. It is appreciated that the following drawings depict only certain embodiments of the invention and are therefore not to be considered limiting of its scope. For a person skilled in the art, it is possible to derive other relevant figures from these figures without inventive effort.
FIG. 1 is an interactive schematic diagram of an artificial intelligence-based software-driven processing system according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating steps of a software-driven processing method based on artificial intelligence according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another interaction of an artificial intelligence based software driven processing system according to an embodiment of the present invention;
FIG. 4 is a block diagram illustrating a structure of an artificial intelligence based software driven processing cloud platform according to an embodiment of the present invention;
fig. 5 is a block diagram schematically illustrating a structure of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
Furthermore, the terms "first," "second," and the like are used solely to distinguish one from another, and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it is also to be noted that, unless otherwise explicitly stated or limited, the terms "disposed" and "connected" are to be interpreted broadly, and for example, "connected" may be a fixed connection, a detachable connection, or an integral connection; can be mechanically or electrically connected; the connection may be direct or indirect via an intermediate medium, and may be a communication between the two elements. The specific meanings of the above terms in the present invention can be understood according to specific situations by those of ordinary skill in the art.
The following detailed description of embodiments of the invention refers to the accompanying drawings.
FIG. 1 is an interaction diagram of an artificial intelligence based software driven processing system according to an embodiment of the present disclosure. The artificial intelligence based software driven processing system may include a computer device 100 and a plurality of powered devices 200 communicatively connected to the computer device 100. The artificial intelligence based software driven processing system shown in fig. 1 is only one possible example, and in other possible embodiments, the artificial intelligence based software driven processing system may include only a portion of the components shown in fig. 1 or may include other components.
In this embodiment, the powered device 200 may include a mobile device, a tablet computer, a laptop computer, etc., or any combination thereof. In some embodiments, the mobile device may include a smart home device, a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, or the like, or any combination thereof. In some embodiments, the smart home devices may include control devices of smart electrical devices, smart monitoring devices, smart televisions, smart cameras, and the like, or any combination thereof. In some embodiments, the wearable device may include a smart bracelet, a smart lace, smart glass, a smart helmet, a smart watch, a smart garment, a smart backpack, a smart accessory, or the like, or any combination thereof. In some embodiments, the smart mobile device may include a smartphone, a personal digital assistant, a gaming device, and the like, or any combination thereof. In some embodiments, the virtual reality device and/or the augmented reality device may include a virtual reality helmet, virtual reality glass, a virtual reality patch, an augmented reality helmet, augmented reality glass, an augmented reality patch, or the like, or any combination thereof. For example, the virtual reality device and/or augmented reality device may include various virtual reality products and the like.
In this embodiment, the computer apparatus 100 and the plurality of powered apparatuses 200 in the artificial intelligence based software driven processing system can cooperatively execute the artificial intelligence based software driven processing method described in the following method embodiment, and the execution step portions of the specific computer apparatus 100 and the plurality of powered apparatuses 200 can refer to the detailed description of the following method embodiment.
To solve the technical problem in the foregoing background art, fig. 2 is a schematic flowchart of an artificial intelligence based software-driven processing method provided in an embodiment of the present disclosure, which can be executed by the computer device 100 shown in fig. 1, and the following describes the artificial intelligence based software-driven processing method in detail.
In step 201, an allocable voltage of the target power receiving apparatus 200 in the predicted time range is acquired.
In the embodiment of the present invention, in addition to the types described above, the target power receiving device 200 may also be a mobile phone, and when different types of mobile phones are charged by using different types of interfaces, the voltage values that can be borne by the mobile phones are different, and the devices may be damaged due to mismatch, so that the assignable voltage of the target power receiving device 200 in the predicted time range, that is, how much voltage is needed for charging, may be stored in the computer device 100 in advance.
In step 202, a power consumption trend parameter is obtained.
The power consumption trend parameter includes a historical power usage trend of the target powered device 200.
Different target power receiving apparatuses 200, such as mobile phones, have their own power consumption conditions due to different brands and different service lives, so that the historical power usage trend of the target power receiving apparatuses 200 can be obtained.
Step 203, a first power consumption time range is obtained.
The first power consumption time range is a time period between the first power detection time stamp and the current time, and the first power consumption time range is longer than or equal to the prediction time range.
The first power detection timestamp may refer to a time node that initiates error detection on the target powered device 200 after the target powered device 200 accesses, and the first power consumption time range may be longer than or equal to the predicted time range in order to ensure accuracy of the acquired power consumption data.
On the basis, the first historical electric quantity use trend corresponding to the first power consumption time range can be obtained from the electric quantity consumption trend parameters, namely, the first historical electric quantity use trend used for subsequently calculating the charging related parameters is extracted from the electric quantity consumption trend parameters.
In step 205, a current power consumption trend of the target powered device 200 corresponding to the current time is obtained.
The current power consumption trend of the current target powered device 200 may be recorded.
In step 206, the power receiving apparatus 200 power consumption correction parameter of the target power receiving apparatus 200 in the predicted time range is obtained.
As described above, the power consumption correction parameter of the power receiving apparatus 200 stored in the computer apparatus 100 in advance may be acquired to ensure the accuracy of the subsequent output data due to the differences in the model number, the age, and the usage environment of the apparatus.
In this embodiment of the present application, the energy consumption correction parameter of the power receiving device 200 may be processed to obtain the first power consumption coefficient corresponding to the current power consumption trend.
And step 208, determining a second power consumption coefficient corresponding to the first historical electric quantity use trend.
Meanwhile, the second power consumption coefficient may be determined based on the first historical power usage trend, in the embodiment of the present invention, power consumption coefficients corresponding to different historical power usage trends may be stored in the computer device 100 in advance, and the storage form may be in a database, or may be in a data table, which is not limited herein.
To this end, a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend may be correspondingly calculated based on the first power consumption coefficient and the second power consumption coefficient, which are obtained respectively, that is, the current power consumption trend and the first historical power consumption trend are fused to obtain a predicted power consumption trend capable of representing the power consumption of the target power receiving device 200 within the prediction time range.
In step 210, a first power consumption mean value and a first power consumption true value of the target powered device 200 in the historical time range are obtained.
A first power consumption average value and a first power consumption true value of the target powered device 200 in the historical time range can be obtained, the first power consumption average value can be regarded as a power consumption expected value of the target powered device 200 in the historical time range, and the first power consumption true value can be regarded as a power consumption actual value of the target powered device 200 in the historical time range.
In step 211, a charging voltage adjustment coefficient is generated according to a first difference between the first power consumption average value and the first power consumption true value.
The historical time range is a time period between the second electric quantity detection time stamp and the current moment, and the first electric quantity detection time stamp is earlier than the second electric quantity detection time stamp.
In an embodiment of the present invention, a first difference between the first average power consumption value and the first true power consumption value may be regarded as a difference between the first average power consumption value and the first true power consumption value, and the charging voltage adjustment coefficient may be obtained based on the difference. It will be appreciated that, to ensure accuracy of the data obtained, the historical time range is the time period between the second charge detection timestamp and the current time, and the first charge detection timestamp is earlier than the second charge detection timestamp.
In step 212, the charging mode of the target power receiving device 200 in the predicted time range is obtained according to the allocable voltage, the predicted power consumption trend, and the charging voltage adjustment coefficient.
After the assignable voltage, the predicted power consumption trend and the charging voltage adjustment factor are determined, a charging mode can be determined, and optionally, the charging mode of the parameters under different conditions can be stored in the computer device 100 in advance.
In step 213, a charging result corresponding to the charging mode is generated, and the target power receiving apparatus 200 is quickly charged according to the charging result.
Through the above steps, the target powered device 200 can be quickly charged based on the charging result corresponding to the charging model, in the embodiment of the present invention, the target powered device may be quickly charged based on a PD protocol (USB Power Delivery, abbreviated as "quick charging protocol"), may be quickly charged based on a Typr-C interface, and the preset of the computer device 100 may be implemented based on KVM (Keyboard Video Mouse, video, and Mouse for short) operations at the corresponding port.
Through the above steps, the corresponding charging mode can be customized according to the self condition of different powered devices 200, so that the target powered device 200 can complete quick charging without excessively consuming the hardware materials of the device.
On the basis of the foregoing, as an alternative embodiment, the foregoing step 206 may be implemented by the following specific embodiments.
Sub-step 206-1 determines a target historical time range corresponding to the predicted time range.
And a substep 206-2, obtaining a third historical electricity consumption trend corresponding to the target historical time range from the electricity consumption trend parameter.
Sub-step 206-3, determining a power prediction consumption trend of the target powered device 200 at the prediction time horizon according to the third historical power usage trend.
And a substep 206-4, determining the average value of the predicted power consumption trend in the prediction time range as the predicted average power consumption trend.
And a substep 206-5 of obtaining a second historical time range power consumption time range.
And a substep 206-6, determining historical time stamps corresponding to the current time in the power consumption time range of the second historical time range, and acquiring second historical power consumption trends corresponding to the historical time stamps from the power consumption trend parameters.
And a substep 206-7 of calculating offset values of the predicted average power consumption trend and each second historical power usage trend respectively, and determining the sum of the calculated offset values to obtain a target offset value sum.
Sub-step 206-8, calculating a ratio of the target offset value and the power consumption time range with respect to the second historical time range, and determining the calculated ratio as the power consumption correction parameter of the powered device 200.
On the basis of the foregoing, the computer device 100 is further connected to the power supply device 300 in a communication manner, and in order to more clearly describe the solution provided by the present invention, please refer to fig. 3 in conjunction, the foregoing step 201 may be implemented by the following steps.
In sub-step 201-1, a charging configuration policy of the power supply apparatus 300 is obtained.
The power supply apparatus 300 corresponds to at least one charging voltage distribution scheme, and the charging voltage distribution scheme corresponds to at least one power receiving apparatus 200 including the target power receiving apparatus 200.
In sub-step 201-2, a charging configuration policy corresponding to each charging voltage distribution policy is obtained according to the charging configuration policy of the power supply device 300.
In sub-step 201-3, the charging configuration policy of the target powered device 200 is determined according to the charging configuration policies corresponding to the respective charging voltage distribution policies.
Sub-step 201-4, determining a total allocable voltage of the target powered device 200 according to the charging configuration policy of the target powered device 200.
In substep 201-5, a power consumption analysis report of the target power receiving apparatus 200 is acquired.
And a substep 201-6 of obtaining the predicted power consumption content of the target power receiving device 200 in the predicted time range according to the power consumption condition analysis report.
Sub-step 201-7, obtaining the expected charging duration of the target powered device 200 according to the total assignable voltage.
In sub-step 201-8, the current power consumption content of the target powered device 200 within the expected charging duration is obtained.
And a substep 201-9 of calculating a ratio of the predicted power consumption content and the current power consumption content to obtain a voltage configuration weight.
Sub-step 201-10, determining the product of the total assignable voltage and the voltage configuration weight as the assignable voltage of the target powered device 200 in the predicted time range.
In the embodiment of the present invention, the charging voltage adjustment coefficient is a charging voltage scaling coefficient, and as an alternative specific implementation manner, the foregoing step 211 may be implemented as follows.
And a substep 211-1 of obtaining a preset scaling factor.
And a substep 211-2 of generating a charging voltage scaling factor based on the product of the first difference value and the scaling factor.
On the basis that the charging voltage adjustment coefficient is a charging voltage differential coefficient, as an alternative embodiment, the foregoing step 211 may also be performed by the following steps.
And a substep 211-3 of obtaining a power consumption time range of the third history time range.
And the power consumption time range of the third historical time range is a time period adjacent to the historical time range.
Sub-step 211-4, obtaining a second power consumption mean value and a second power consumption true value of the target powered device 200 in the power consumption time range of the third history time range.
Sub-step 211-5 determines a second difference between the second average charge-depleting value and the second true charge-depleting value.
Sub-step 211-6, obtaining a differential parameter of the target powered device 200 according to the first difference value and the second difference value.
And a substep 211-7 of obtaining a preset voltage differential coefficient.
Sub-step 211-8 generates a charge voltage differential coefficient based on a product of the differential parameter and the voltage differential coefficient.
On this basis, in order to be able to more clearly describe the solution proposed by the present invention, the aforementioned step 212 may be implemented by the following steps.
Sub-step 212-1, obtains the charging voltage distribution strategy and the power sourcing equipment 300 corresponding to the target powered device 200.
In sub-step 212-2, a target charging voltage distribution scheme corresponding to the target powered device 200 and the target power supplying device 300 are obtained.
Sub-step 212-3, obtaining a third average charge consumption value and a third true charge consumption value of the target charging voltage distribution strategy in the historical time range.
Sub-step 212-4 generates a policy adjustment vector based on a third difference between the third average power consumption value and the third true power consumption value.
In sub-step 212-5, a fourth mean value of power consumption and a fourth true value of power consumption of the target power supply apparatus 300 in the historical time range are obtained.
Sub-step 212-6 generates a supply voltage vector based on a fourth difference between the fourth average power consumption value and the fourth true power consumption value.
Sub-step 212-7, generating a charging configuration vector based on the charging voltage adjustment coefficient, the policy adjustment vector, and the supply voltage vector.
And a substep 212-8 of obtaining a charging mode according to the distributable voltage, the predicted power consumption trend and the charging configuration vector.
In the embodiment of the present invention, after the foregoing step 213 is performed, the embodiment of the present invention also provides the following example.
In step 214, a current power consumption trend of the target powered device 200 after the fast charging is obtained.
In step 215, the target power supply apparatus 300 corresponding to the target power receiving apparatus 200 is acquired.
And step 216, adjusting the charging configuration strategy of the target power supply device 300 according to the current consumption trend of the electric quantity.
In addition, before the foregoing step 201-1 is performed, the following detailed description is provided in the embodiments of the present invention.
Step 301, in response to the target powered device 200 access request, displays a powered device 200 information acquisition interface.
In step 302, the device parameter of the target powered device 200 that the user allows to ping is acquired in response to the device parameter privacy protocol agreement indication of the target powered device 200 triggered by the user at the information acquisition interface of the powered device 200.
Step 303, performing charging management device access permission detection on the device parameter of the target powered device 200, and sending an operation data request including the device parameter of the target powered device 200 to the power supply storage space corresponding to each historical charging operation.
And step 304, receiving the power supply equipment 300 identification corresponding to the equipment currently running the corresponding historical charging operation, returned by each power supply storage space based on the operation data request.
Step 305, updating the power supply apparatus 300 identifier associated with the apparatus parameter of the target powered apparatus 200 and the reference charging configuration policy associated with the apparatus corresponding to each power supply apparatus 300 identifier according to the obtained power supply apparatus 300 identifiers and the reference charging configuration policy running on the apparatus corresponding to each power supply apparatus 300 identifier.
Step 306, displaying, in the information management interface of the power receiving apparatus 200, the updated power supply apparatus 300 identifiers associated with the apparatus parameters of the target power receiving apparatus 200 and the respective reference charging configuration policies associated with the apparatuses corresponding to each power supply apparatus 300 identifier.
The information management interface of the power receiving apparatus 200 includes at least one power supply apparatus 300 identifier associated with the apparatus parameter of the target power receiving apparatus 200, a respective reference charging configuration policy associated with each power supply apparatus 300 identifier, and operation data of a respective historical charging operation associated with each power supply apparatus 300 identifier.
Step 307, in response to the data sharing instruction, sending a packaging return request to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls, based on the packaging return request, each historical charging operation to exit and each power supply device 300 associated with the packaging return to identify a corresponding device. Or,
step 308, in response to the data sharing instruction, sending a packed return request to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls, based on the packed return request, each historical charging operation associated with the specified power supply device 300 identifier to exit and packages and returns the device corresponding to the specified power supply device 300 identifier. Or,
step 309, in response to the data sharing instruction, sending a packaged backhaul request to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space controls the specified historical charging operation to exit and the specified power supply device 300 to identify a corresponding device based on the packaged backhaul request, and displaying operation data of at least one historical charging operation as backhaul in the information management interface of the powered device 200.
At step 310, a charging configuration policy is determined according to at least one historical charging operation.
It should be understood that, the power supply device 300 may be multiple, may be disposed in different areas, may be fixedly disposed, and may be portable, and a user may charge the power receiving device 200 on the corresponding power supply device 300 when going out.
On the basis of the foregoing, in order to more clearly describe the scheme proposed in the present invention, the following examples are also provided in the embodiments of the present invention.
In step 401, in response to the charging management filing instruction of the power receiving apparatus 200, an information acquisition interface of the power receiving apparatus 200 is displayed.
In step 402, in response to the device parameter privacy protocol agreement indication of the target powered device 200 triggered by the user at the information acquisition interface of the powered device 200, the device parameter of the target powered device 200 of the user is acquired.
In step 403, the device parameter of the target powered device 200 is sent to the security verification server, so that the security verification server performs access permission detection on the device parameter of the target powered device 200.
And 404, receiving the record identification returned by the security verification server, and displaying a setting page when the record identification represents that the verification is passed.
Step 405, responding to a power supply equipment 300 selection indication triggered by a user on a setting page, and sending a privacy data interaction indication to each power supply storage space.
In step 406, the power supply device 300 identifiers respectively associated with the respective reference charging configuration policies and the device parameters of the target power receiving device 200 returned by the power supply storage spaces based on the received private data interaction indication are received.
In step 407, the respective power supply apparatus 300 identifiers and the reference charging configuration policy associated with each power supply apparatus 300 identifier are displayed on the setting page.
After displaying the information management interface of the power receiving apparatus 200, the embodiment of the present invention also provides the following example:
step 408, in response to the power supply service termination indication, sending a termination association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to terminate data interaction from the device corresponding to each associated power supply device 300 identifier based on the termination association indication. Or,
step 409, in response to the device termination data interaction instruction, sending a termination association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply device 300 identifier to terminate data interaction from the device corresponding to the specified power supply device 300 identifier based on the termination association instruction. Or,
step 410, in response to the user-defined termination data interaction indication, sending a termination association indication to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space controls the specified historical charging operation to identify the corresponding device termination data interaction from the specified power supply device 300 based on the termination association indication.
On the basis, the embodiment of the invention also provides the following specific implementation modes.
Step 411, in response to the power supply restoration service instruction, sending a restoration association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space performs, based on the restoration association instruction, a setting operation of revoking the device corresponding to each power supply device 300 identifier of each packaging backhaul association. Or,
step 412, in response to the recovery data interaction instruction, sending a recovery association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space executes a setting operation of revoking the device corresponding to each packaging and returning specified power supply device 300 identifier based on the recovery association instruction. Or,
step 413, in response to the user-defined recovery login operation, sending a recovery association instruction to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space executes a setting operation of revoking the specified packaging and returning the corresponding device of the specified power supply device 300 identifier based on the recovery association instruction.
In order to more clearly describe the solution provided by the present invention, the embodiments of the present invention further provide the following specific embodiments, for example.
(1) And receiving operation data of historical charging operation related to each power supply device 300 identification returned by each power supply storage space based on the operation data request.
(2) In the power receiving apparatus 200 information management interface, operation data identifying each of the associated historical charging operations per power supply apparatus 300 is also displayed.
In order to more clearly describe the scheme provided by the present invention, the embodiments of the present invention further provide the following specific embodiments, for example.
(1) Each historical charging operation and the associated power supply apparatus 300 identification are deleted in response to a clear record instruction triggered by the user at the information management interface of the power receiving apparatus 200. Or,
(2) The specified power supply apparatus 300 identification is deleted in response to a power supply apparatus 300 deletion instruction triggered by the user at the power receiving apparatus 200 information management interface. Or,
(3) In response to a custom deletion operation triggered by the user at the information management interface of the power receiving apparatus 200, the association between the specified power supply apparatus 300 identification and the specified historical charging operation is deleted.
In order to more clearly describe the scheme provided by the present invention, the embodiments of the present invention further provide the following specific embodiments, for example.
(1) The device information input page is displayed in response to a device association operation triggered by the user at the power receiving device 200 information management interface or setting page.
(2) The power supply apparatus 300 identification which the user allows to check is acquired in response to the apparatus information input operation triggered by the user on the apparatus information input page.
(3) The power supply apparatus 300 id whose user allows the ping is determined as the power supply apparatus 300 id associated with the apparatus parameter of the target power receiving apparatus 200.
The embodiment of the present application provides an artificial intelligence based software-driven processing cloud platform 110, which is applied to a computer device 100, where the computer device 100 is in communication connection with a plurality of powered devices 200, as shown in fig. 4, the artificial intelligence based software-driven processing cloud platform 110 includes:
an obtaining module 1101 configured to obtain an allocable voltage of the target powered device 200 in a predicted time range; acquiring a power consumption trend parameter, wherein the power consumption trend parameter includes a historical power usage trend of the target powered device 200; acquiring a first power consumption time range, wherein the first power consumption time range is a time period between the first electric quantity detection timestamp and the current moment, and is longer than or equal to the prediction time range; acquiring a first historical electric quantity use trend corresponding to a first power consumption time range from the electric quantity consumption trend parameters; acquiring a current power consumption trend of the target powered device 200 corresponding to the current moment; the power receiving apparatus 200 power consumption correction parameter of the target power receiving apparatus 200 at the predicted time range is acquired.
A determining module 1102, configured to determine, according to the energy consumption correction parameter of the powered device 200, a first power consumption coefficient corresponding to the current power consumption trend; determining a second power consumption coefficient corresponding to the first historical electric quantity use trend; calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device 200 in a predicted time range; acquiring a first power consumption mean value and a first power consumption true value of the target powered device 200 in a historical time range; and generating a charging voltage adjustment coefficient according to a first difference value between a first electric quantity consumption average value and a first electric quantity consumption true value, wherein the historical time range is a time period between a second electric quantity detection timestamp and the current moment, and the first electric quantity detection timestamp is earlier than the second electric quantity detection timestamp.
A charging module 1103, configured to obtain a charging mode of the target powered device 200 in the predicted time range according to the distributable voltage, the predicted power consumption trend, and the charging voltage adjustment coefficient; a charging result corresponding to the charging mode is generated, and the target power receiving apparatus 200 is quickly charged according to the charging result.
Further, the obtaining module 1101 is specifically configured to:
determining a target historical time range corresponding to the predicted time range; acquiring a third history electric quantity use trend corresponding to the target history time range from the electric quantity consumption trend parameters; determining a predicted power consumption trend of the target powered device 200 at the predicted time range according to the third history power usage trend; determining the average value of the predicted power consumption trend in the prediction time range as the predicted average power consumption trend; acquiring a power consumption time range of a second historical time range; determining historical timestamps corresponding to the current moment in a power consumption time range of a second historical time range, and acquiring second historical power consumption trends corresponding to the historical timestamps from the power consumption trend parameters; respectively calculating deviation values of the predicted average power consumption trend and each second historical electric quantity use trend, and determining the sum of the calculated deviation values to obtain a target deviation value sum; a ratio of the target offset value to the power consumption time range with respect to the second historical time range is calculated, and the calculated ratio is determined as the power consumption correction parameter of the power receiving apparatus 200.
Further, the computer device 100 is further communicatively connected to the power supply device 300, and the obtaining module 1101 is further specifically configured to:
acquiring a charging configuration policy of the power supply apparatus 300, wherein the power supply apparatus 300 corresponds to at least one charging voltage configuration policy corresponding to at least one power receiving apparatus 200 including the target power receiving apparatus 200; acquiring a charging configuration strategy corresponding to each charging voltage distribution strategy according to the charging configuration strategy of the power supply equipment 300; determining a charging configuration policy of the target powered device 200 according to the charging configuration policy corresponding to each charging voltage distribution policy; determining a total allocable voltage of the target powered device 200 according to a charging configuration policy of the target powered device 200; acquiring a power consumption analysis report of the target powered device 200; acquiring the predicted power consumption content of the target powered device 200 in the predicted time range according to the power consumption condition analysis report; acquiring a predicted charging duration of the target powered device 200 according to the total allocable voltage; acquiring the current power consumption content of the target powered device 200 in the expected charging duration; calculating the ratio of the predicted power consumption content to the current power consumption content to obtain a voltage configuration weight; the product of the total assignable voltage and the voltage configuration weight is determined as the assignable voltage of the target powered device 200 at the predicted time range.
Further, the charging voltage adjustment coefficient is a charging voltage scaling coefficient, and the determining module 1102 is specifically configured to:
acquiring a preset proportionality coefficient; and generating a charging voltage proportionality coefficient according to the product of the first difference value and the proportionality coefficient.
Further, the charging voltage adjustment coefficient is a charging voltage differential coefficient, and the determining module 1102 is specifically configured to:
acquiring a power consumption time range of a third history time range, wherein the power consumption time range of the third history time range is a time period adjacent to the history time range; acquiring a second power consumption mean value and a second power consumption true value of the target powered device 200 in the power consumption time range of the third history time range; determining a second difference between the second average power consumption value and the second true power consumption value; obtaining a differential parameter of the target powered device 200 according to the first difference value and the second difference value; acquiring a preset voltage differential coefficient; a charge voltage differential coefficient is generated based on a product of the differential parameter and the voltage differential coefficient.
Further, the charging module 1103 is specifically configured to:
acquiring a charging voltage distribution strategy and a power supply apparatus 300 corresponding to the target powered apparatus 200; acquiring a target charging voltage distribution strategy and a target power supply apparatus 300 corresponding to the target power receiving apparatus 200; acquiring a third electric quantity consumption mean value and a third electric quantity consumption true value of a target charging voltage distribution strategy in a historical time range; generating a strategy adjustment vector according to a third difference value between the third electric quantity consumption mean value and the third electric quantity consumption true value; acquiring a fourth power consumption mean value and a fourth power consumption true value of the target power supply device 300 in a historical time range; generating a supply voltage vector according to a fourth difference value between the fourth electricity consumption mean value and the fourth electricity consumption true value; generating a charging configuration vector according to the charging voltage adjustment coefficient, the strategy adjustment vector and the power supply voltage vector; and obtaining a charging mode according to the allocable voltage, the predicted power consumption trend and the charging configuration vector.
Further, the obtaining module 1101 is further configured to:
acquiring a current consumption trend of the electric quantity of the target powered device 200 after rapid charging; acquiring a target power supply apparatus 300 corresponding to the target powered apparatus 200; and adjusting the charging configuration strategy of the target power supply equipment 300 according to the current consumption trend of the electric quantity.
Further, the determining module 1102 is further configured to:
displaying an information acquisition interface of the power receiving apparatus 200 in response to the access request of the target power receiving apparatus 200; acquiring the device parameter of the target powered device 200 that the user allows to ping in response to the device parameter privacy protocol agreement indication of the target powered device 200 triggered by the user at the information acquisition interface of the powered device 200; performing detection of allowing access to the charging management device on the device parameter of the target powered device 200, and respectively sending an operation data request including the device parameter of the target powered device 200 to the power supply storage space corresponding to each historical charging operation; receiving the power supply equipment 300 identification corresponding to the equipment currently running the corresponding historical charging operation returned by each power supply storage space based on the operation data request; updating the power supply device 300 identifier associated with the device parameter of the target powered device 200 and the reference charging configuration policy associated with the device corresponding to each power supply device 300 identifier according to the acquired power supply device 300 identifiers and the reference charging configuration policy running on the device corresponding to each power supply device 300 identifier; displaying, in the power receiving apparatus 200 information management interface, updated power supply apparatus 300 identifiers associated with the apparatus parameters of the target power receiving apparatus 200 and respective reference charging configuration policies associated with apparatuses corresponding to each power supply apparatus 300 identifier, where the power receiving apparatus 200 information management interface includes at least one power supply apparatus 300 identifier associated with the apparatus parameters of the target power receiving apparatus 200, each power supply apparatus 300 identifies respective reference charging configuration policies associated with the corresponding apparatuses, and operation data of respective historical charging operations associated with each power supply apparatus 300 identifier; in response to the data sharing instruction, sending a packaging return request to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to exit and each power supply device 300 associated with the packaging return to identify a corresponding device based on the packaging return request; or, in response to the data sharing instruction, sending a packaging return request to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply equipment 300 identifier to exit and packages and returns the equipment corresponding to the specified power supply equipment 300 identifier based on the packaging return request; or, in response to the data sharing instruction, sending a packed return request to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space controls the specified historical charging operation to exit based on the packed return request and packages and returns the equipment corresponding to the specified power supply equipment 300 identifier, and displaying the operation data of at least one historical charging operation as returned in the information management interface of the powered equipment 200; and determining a charging configuration strategy according to at least one historical charging operation.
Further, the determining module 1102 is further configured to:
displaying an information acquisition interface of the power receiving apparatus 200 in response to the charging management filing instruction of the power receiving apparatus 200; acquiring a device parameter of a target powered device 200 of a user in response to a device parameter privacy protocol agreement indication of the target powered device 200 triggered by the user at an information acquisition interface of the powered device 200; sending the device parameter of the target powered device 200 to the security verification server, so that the security verification server performs access permission detection on the device parameter of the target powered device 200 to the charging management device; receiving a record identification returned by the security verification server, and displaying a setting page when the record identification represents that the verification passes; responding to a power supply equipment 300 selection instruction triggered by a user on a setting page, and sending a privacy data interaction instruction to each power supply storage space; receiving reference charging configuration policies associated with device parameters of the target powered device 200 returned by the power supply storage spaces based on the received private data interaction indication and power supply device 300 identifiers respectively associated with the reference charging configuration policies; displaying the identifications of the power supply devices 300 and the reference charging configuration strategy associated with each power supply device 300 identification on a setting page; after displaying the information management interface of the power receiving apparatus 200, the method further includes: responding to the indication of stopping the power supply service, sending a stopping association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to stop data interaction from the equipment corresponding to each associated power supply equipment 300 identifier based on the stopping association indication; or, in response to the device termination data interaction indication, sending a termination association indication to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply device 300 identifier to terminate data interaction from the device corresponding to the specified power supply device 300 identifier based on the termination association indication; or, in response to the user-defined termination data interaction instruction, sending a termination association instruction to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space controls the specified historical charging operation to terminate data interaction from the equipment corresponding to the specified power supply equipment 300 identifier based on the termination association instruction; the method further comprises the following steps: responding to the power supply restoration service instruction, sending a restoration association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space performs setting operation of canceling equipment corresponding to each power supply equipment 300 identifier of each packaging return association based on the restoration association instruction; or, in response to the recovery data interaction instruction, sending a recovery association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space performs, based on the recovery association instruction, a setting operation of revoking the device corresponding to the identifier of the power supply device 300 specified in each packaging return; or in response to the user-defined recovery login operation, sending a recovery association instruction to the power supply storage space corresponding to each specified historical charging operation, so that each power supply storage space executes a setting operation of revoking the specified packaging and backhaul corresponding device of the specified power supply device 300 identifier based on the recovery association instruction.
The embodiment of the present invention provides a computer device 100, where the computer device 100 includes a processor and a non-volatile memory storing computer instructions, and when the computer instructions are executed by the processor, the computer device 100 executes the artificial intelligence based software-driven processing cloud platform 110. As shown in fig. 5, fig. 5 is a block diagram of a computer device 100 according to an embodiment of the present invention. The computer device 100 includes an artificial intelligence based software driven processing cloud platform 110, a memory 111, a processor 112, and a communication unit 113.
To facilitate the transfer or interaction of data, the elements of the memory 111, the processor 112 and the communication unit 113 are electrically connected to each other, directly or indirectly. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The artificial intelligence-based software driven processing cloud platform 110 includes at least one software functional module that may be stored in a memory 111 in the form of software or firmware (firmware) or solidified in an Operating System (OS) of the computer device 100. The processor 112 is configured to execute the artificial intelligence based software driven processing cloud platform 110 stored in the memory 111, for example, software function modules and computer programs included in the artificial intelligence based software driven processing cloud platform 110.
The embodiment of the present invention provides a readable storage medium, where the readable storage medium includes a computer program, and when the computer program runs, the computer device 100 where the readable storage medium is located is controlled to execute the foregoing software driving processing method based on artificial intelligence.
To sum up, the embodiment of the present invention provides a software-driven processing method and a cloud platform based on artificial intelligence, wherein the distributable voltage of a target powered device in a prediction time range is obtained; then acquiring power consumption trend parameters, wherein the power consumption trend parameters comprise historical power usage trends of the target powered device; acquiring a first power consumption time range, wherein the first power consumption time range is a time period between the first electric quantity detection timestamp and the current moment, and is longer than or equal to the prediction time range; then, acquiring a first historical electric quantity use trend corresponding to the first power consumption time range from the electric quantity consumption trend parameters; then, acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment; acquiring a power receiving equipment energy consumption correction parameter of the target power receiving equipment in the prediction time range; then, determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device; then determining a second power consumption coefficient corresponding to the first historical electric quantity use trend; calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in a predicted time range; then, a first electric quantity consumption mean value and a first electric quantity consumption true value of the target powered device in the historical time range are obtained; generating a charging voltage adjustment coefficient according to a first difference value between a first electric quantity consumption average value and a first electric quantity consumption true value, wherein the historical time range is a time period between a second electric quantity detection timestamp and the current moment, and the first electric quantity detection timestamp is earlier than the second electric quantity detection timestamp; further, according to the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient, a charging mode of the target powered device in the predicted time range is obtained; and finally generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result, wherein the aim of software-driven processing of rapid charging of different powered devices based on PD protocols and artificial intelligence is fulfilled by ingeniously utilizing the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient through the steps.
The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated. The foregoing description, for purpose of explanation, has been described with reference to specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the disclosure to the precise forms disclosed. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the disclosure and its practical applications, to thereby enable others skilled in the art to best utilize the disclosure and various embodiments with various modifications as are suited to the particular use contemplated.
Claims (10)
1. An artificial intelligence based software driven processing method applied to a computer device, wherein the computer device is in communication connection with a plurality of powered devices, the method comprising:
acquiring an allocable voltage of a target powered device in a prediction time range;
acquiring a power consumption trend parameter, wherein the power consumption trend parameter includes a historical power usage trend of the target powered device;
acquiring a first power consumption time range, wherein the first power consumption time range is a time period between a first power detection timestamp and the current time, and is longer than or equal to the prediction time range;
acquiring a first historical electric quantity use trend corresponding to the first power consumption time range from the electric quantity consumption trend parameters;
acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment;
acquiring a power receiving equipment energy consumption correction parameter of the target power receiving equipment in the prediction time range;
determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device;
determining a second power consumption coefficient corresponding to the first historical electric quantity use trend;
calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in the predicted time range;
acquiring a first power consumption mean value and a first power consumption true value of the target powered device in a historical time range;
generating a charging voltage adjustment coefficient according to a first difference value between the first power consumption average value and the first power consumption true value, wherein the historical time range is a time period between a second power detection timestamp and a current time, and the first power detection timestamp is earlier than the second power detection timestamp;
obtaining a charging mode of the target powered device in the prediction time range according to the distributable voltage, the predicted power consumption trend and the charging voltage adjustment coefficient;
and generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result.
2. The method of claim 1, wherein the obtaining of the powered device energy consumption modification parameter of the target powered device within the predicted time range comprises:
determining a target historical time range corresponding to the predicted time range;
acquiring a third history electric quantity use trend corresponding to the target history time range from the electric quantity consumption trend parameters;
determining a predicted power consumption trend of the target powered device in the predicted time range according to the third history power usage trend;
determining the average value of the predicted power consumption trend in the predicted time range as a predicted average power consumption trend;
acquiring a power consumption time range of a second historical time range;
determining a historical timestamp corresponding to the current moment in the power consumption time range of the second historical time range, and acquiring a second historical power consumption trend corresponding to each historical timestamp from the power consumption trend parameters;
respectively calculating deviation values of the predicted average power consumption trend and each second historical power consumption trend, and determining the sum of the calculated deviation values to obtain a target deviation value sum;
calculating a ratio of the target offset value to the power consumption time range relative to the second historical time range, and determining the calculated ratio as the powered device power consumption correction parameter.
3. The method according to claim 1 or 2, wherein the computer device is further connected to a power supply device for communication, and the obtaining of the assignable voltage of the target powered device in the predicted time range comprises:
acquiring a charging configuration strategy of the power supply equipment, wherein the power supply equipment corresponds to at least one charging voltage distribution strategy, and the charging voltage distribution strategy corresponds to at least one powered equipment including the target powered equipment;
acquiring a charging configuration strategy corresponding to each charging voltage distribution strategy according to the charging configuration strategy of the power supply equipment;
determining a charging configuration strategy of the target powered device according to the charging configuration strategy corresponding to each charging voltage distribution strategy;
determining a total allocable voltage of the target powered device according to a charging configuration policy of the target powered device;
acquiring a power consumption condition analysis report of the target powered device;
acquiring the predicted power consumption content of the target powered device in the predicted time range according to the power consumption condition analysis report;
acquiring the expected charging duration of the target powered device according to the total distributable voltage;
acquiring the current power consumption content of the target powered device in the expected charging duration;
calculating the ratio of the predicted power consumption content to the current power consumption content to obtain a voltage configuration weight;
determining a product of the total assignable voltage and the voltage configuration weight as an assignable voltage of the target powered device at the predicted time range.
4. The method of claim 1 or 2, wherein the charge voltage adjustment factor is a charge voltage scaling factor;
generating a charging voltage adjustment factor according to a first difference between the first power consumption average value and the first power consumption true value includes:
acquiring a preset proportionality coefficient;
and generating the charging voltage proportionality coefficient according to the product of the first difference value and the proportionality coefficient.
5. The method according to claim 1 or 2, wherein the charging voltage adjustment coefficient is a charging voltage differential coefficient;
generating a charging voltage adjustment factor according to a first difference between the first power consumption average value and the first power consumption true value includes:
acquiring a power consumption time range of a third history time range, wherein the power consumption time range of the third history time range is a time period adjacent to the history time range;
acquiring a second power consumption mean value and a second power consumption true value of the target powered device in the power consumption time range of the third history time range;
determining a second difference between the second average charge consumption value and a second true charge consumption value;
obtaining a differential parameter of the target powered device according to the first difference value and the second difference value;
acquiring a preset voltage differential coefficient;
generating the charging voltage differential coefficient according to a product of the differential parameter and the voltage differential coefficient.
6. The method of claim 5, wherein the deriving a charging mode of the target powered device in the predicted time range according to the allocable voltage, the predicted power consumption trend, and the charging voltage adjustment factor comprises:
acquiring a charging voltage distribution strategy and power supply equipment corresponding to the target powered equipment;
acquiring a target charging voltage distribution strategy and a target power supply device corresponding to the target powered device;
acquiring a third electric quantity consumption mean value and a third electric quantity consumption true value of the target charging voltage distribution strategy in the historical time range;
generating a strategy adjustment vector according to a third difference value between the third electric quantity consumption mean value and a third electric quantity consumption true value;
acquiring a fourth electric quantity consumption mean value and a fourth electric quantity consumption true value of the target power supply equipment in the historical time range;
generating a supply voltage vector according to a fourth difference value between the fourth electricity consumption mean value and a fourth electricity consumption true value;
generating a charging configuration vector according to the charging voltage adjustment coefficient, the strategy adjustment vector and the power supply voltage vector;
and obtaining the charging mode according to the distributable voltage, the predicted power consumption trend and the charging configuration vector.
7. The method according to claim 1 or 2, further comprising, after the fast charging the target powered device according to the charging result:
acquiring the current consumption trend of the electric quantity of the target powered device after the target powered device is rapidly charged;
acquiring target power supply equipment corresponding to the target powered equipment;
and adjusting the charging configuration strategy of the target power supply equipment according to the current consumption trend of the electric quantity.
8. The method of claim 3, wherein prior to the obtaining the charging configuration policy of the power sourcing equipment, the method further comprises:
responding to the access request of the target powered device, and displaying an information acquisition interface of the powered device;
responding to a device parameter privacy protocol agreement indication of the target powered device triggered by the user on the powered device information acquisition interface, and acquiring device parameters of the target powered device allowed to be checked by the user;
performing detection allowing access to a charging management device on the device parameters of the target powered device, and respectively sending an operation data request containing the device parameters of the target powered device to a power supply storage space corresponding to each historical charging operation;
receiving power supply equipment identifications corresponding to equipment currently running corresponding historical charging operations, returned by the power supply storage spaces based on the operation data requests;
updating the power supply equipment identifier associated with the equipment parameter of the target powered equipment and the reference charging configuration policy associated with the equipment corresponding to each power supply equipment identifier according to the acquired power supply equipment identifiers and the reference charging configuration policy operated on the equipment corresponding to each power supply equipment identifier;
displaying, in a powered device information management interface, updated power supply device identifiers associated with device parameters of the target powered device and reference charging configuration policies associated with devices corresponding to the power supply device identifiers, where the powered device information management interface includes at least one power supply device identifier associated with the device parameters of the target powered device, reference charging configuration policies associated with the devices corresponding to the power supply device identifiers, and operation data of historical charging operations associated with the power supply device identifiers;
responding to a data sharing instruction, and sending a packaging return request to a power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to exit and packages and returns equipment corresponding to each power supply equipment identifier associated with each power supply storage space based on the packaging return request; or,
responding to a data sharing instruction, and sending a packaging return request to a power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply equipment identifier to exit and packages and returns equipment corresponding to the specified power supply equipment identifier based on the packaging return request; or,
responding to a data sharing instruction, sending a packaging return request to a power supply storage space corresponding to each appointed historical charging operation, enabling each power supply storage space to control the appointed historical charging operation to exit and package and return equipment corresponding to the appointed power supply equipment identification based on the packaging return request, and displaying operation data of at least one historical charging operation as returned in the powered equipment information management interface;
and determining the charging configuration strategy according to the at least one historical charging operation.
9. The method of claim 8, further comprising:
responding to a charging management filing instruction of the powered device, and displaying an information acquisition interface of the powered device;
responding to a device parameter privacy protocol agreement indication of a target powered device triggered by a user on the powered device information acquisition interface, and acquiring device parameters of the target powered device of the user;
sending the device parameters of the target powered device to a security verification server, so that the security verification server performs access permission detection on the device parameters of the target powered device;
receiving a record identification returned by the security verification server, and displaying a setting page when the record identification represents that the verification passes;
responding to a power supply equipment selection indication triggered by a user on a setting page, and sending a privacy data interaction indication to each power supply storage space;
receiving each reference charging configuration strategy and each power supply equipment identifier respectively associated with each reference charging configuration strategy, which are associated with the equipment parameter of the target powered equipment and returned by each power supply storage space based on the received private data interaction indication;
displaying each power supply equipment identification and a reference charging configuration strategy associated with each power supply equipment identification on the setting page;
after displaying the powered device information management interface, the method further includes:
responding to the indication of stopping the power supply service, sending a stopping association indication to a power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation to stop data interaction from equipment corresponding to each associated power supply equipment identifier based on the stopping association indication; or responding to a device termination data interaction instruction, and sending a termination association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space controls each historical charging operation associated with the specified power supply device identifier to terminate data interaction from the device corresponding to the specified power supply device identifier based on the termination association instruction; or,
responding to a user-defined termination data interaction instruction, sending a termination association instruction to a power supply storage space corresponding to each appointed historical charging operation, and enabling each power supply storage space to control the appointed historical charging operation to terminate data interaction from equipment corresponding to an appointed power supply equipment identifier based on the termination association instruction;
the method further comprises the following steps:
responding to a power supply restoration service instruction, and sending a restoration association instruction to power supply storage spaces corresponding to historical charging operations, so that the power supply storage spaces execute setting operations of equipment corresponding to power supply equipment identifications of each packaging return association revocation based on the restoration association instruction; or,
responding to a recovery data interaction instruction, and sending a recovery association instruction to the power supply storage space corresponding to each historical charging operation, so that each power supply storage space performs the operation of canceling the setting of the equipment corresponding to each packaging return-appointed power supply equipment identifier based on the recovery association instruction; or,
and responding to the user-defined login recovery operation, sending a recovery association instruction to the power supply storage space corresponding to each appointed historical charging operation, so that each power supply storage space executes the setting operation of equipment corresponding to the appointed power supply equipment identifier by cancelling the appointed packaging return transmission based on the recovery association instruction.
10. A software driven processing cloud platform based on artificial intelligence, applied to a computer device, the computer device being in communication connection with a plurality of powered devices, the cloud platform comprising:
an obtaining module, configured to obtain an allocable voltage of a target powered device within a predicted time range; acquiring a power consumption trend parameter, wherein the power consumption trend parameter includes a historical power usage trend of the target powered device; acquiring a first power consumption time range, wherein the first power consumption time range is a time period between a first power detection timestamp and the current time, and is longer than or equal to the prediction time range; acquiring a first historical electric quantity use trend corresponding to the first power consumption time range from the electric quantity consumption trend parameters; acquiring a current electric quantity consumption trend of the target powered device corresponding to the current moment; acquiring a power receiving equipment energy consumption correction parameter of the target power receiving equipment in the prediction time range;
the determining module is used for determining a first power consumption coefficient corresponding to the current power consumption trend according to the power consumption correction parameter of the powered device; determining a second power consumption coefficient corresponding to the first historical electric quantity use trend; calculating a power consumption comprehensive trend of the current power consumption trend and the first historical power consumption trend according to the first power consumption coefficient and the second power consumption coefficient, and determining the power consumption comprehensive trend as a predicted power consumption trend of the target powered device in the predicted time range; acquiring a first power consumption mean value and a first power consumption true value of the target powered device in a historical time range; generating a charging voltage adjustment coefficient according to a first difference value between the first power consumption average value and the first power consumption true value, wherein the historical time range is a time period between a second power detection timestamp and a current time, and the first power detection timestamp is earlier than the second power detection timestamp;
a charging module, configured to obtain a charging mode of the target powered device in the predicted time range according to the distributable voltage, the predicted power consumption trend, and the charging voltage adjustment coefficient; and generating a charging result corresponding to the charging mode, and rapidly charging the target powered device according to the charging result.
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