CN118642463A

CN118642463A - Equipment parameter adjusting method, device, equipment and storage medium

Info

Publication number: CN118642463A
Application number: CN202410677532.2A
Authority: CN
Inventors: 张俊斌; 王思宇; 方子君; 吴爽; 李方彬
Original assignee: Gusu Laboratory of Materials
Current assignee: Gusu Laboratory of Materials
Priority date: 2024-05-29
Filing date: 2024-05-29
Publication date: 2024-09-13

Abstract

The embodiment of the invention discloses a device parameter adjusting method, which comprises the following steps: the control unit is used for collecting the state information of each module in the equipment and transmitting the state information to the artificial intelligent regulation unit; generating a device operation result according to the state information through an artificial intelligent adjusting unit, determining a parameter adjusting mode according to the device operation result and the device operation boundary condition, adjusting historical parameters of the device based on the parameter adjusting mode to obtain adjusting parameters, and transmitting the adjusting parameters to a control unit; the adjustment parameters are written into the modules of the device by the control unit. The control unit in the parameter adjusting system is used for collecting the state information of the equipment module, and the artificial intelligent adjusting unit is used for automatically adjusting the parameters of the equipment module according to the collected state information, so that a large amount of testing work is not required to be carried out on each module in the equipment by personnel, the labor cost is saved, and the occupation of the equipment is reduced.

Description

Equipment parameter adjusting method, device, equipment and storage medium

Technical Field

The embodiment of the invention relates to the technical field of data processing, in particular to a device parameter adjusting method, a device, equipment and a storage medium.

Background

In the field of equipment manufacturing, particularly medium and large devices, often contain thousands of parts and are therefore divided into modules, for example, automobiles contain power domains. Chassis domain, body control domain, cabin domain and autopilot domain, and a lot of tests need to be done before production, optimizing parameters of each module.

However, at present, due to the differences of the modules and the complex nonlinear or dynamic relation of parameters, besides professional testing equipment, professional personnel can finish the process for a long time, but the adjustment of the parameters usually needs to be highly dependent on the experience of the professional personnel, so that not only the manpower is consumed, but also a large amount of time is wasted.

Disclosure of Invention

The embodiment of the invention provides a device parameter adjusting method, a device, equipment and a storage medium, so as to realize automatic adjustment of device parameters.

In a first aspect, an embodiment of the present invention provides a device parameter adjustment method, applied to a parameter adjustment system, where the parameter adjustment system includes an artificial intelligent adjustment unit and a control unit, the method includes:

Acquiring state information of each module in the equipment through the control unit, and transmitting the state information to the artificial intelligent regulation unit;

Generating a device operation result according to the state information through the artificial intelligent regulation unit, determining a parameter regulation mode according to the device operation result and a device operation boundary condition, regulating historical parameters of the device based on the parameter regulation mode to obtain regulation parameters, and transmitting the regulation parameters to the control unit;

the adjustment parameters are written into the modules of the device by the control unit.

In a second aspect, an embodiment of the present invention provides an apparatus parameter adjustment device, including: the state information acquisition module is used for acquiring the state information of each module in the equipment through the control unit and transmitting the state information to the artificial intelligent regulation unit;

the parameter adjusting module is used for generating an equipment operation result according to the state information through the artificial intelligent adjusting unit, determining a parameter adjusting mode according to the equipment operation result and equipment operation boundary conditions, adjusting historical parameters of equipment based on the parameter adjusting mode to obtain adjusting parameters, and transmitting the adjusting parameters to the control unit;

and the adjusting parameter writing module is used for writing the adjusting parameters into each module of the equipment through the control unit.

In a third aspect, an embodiment of the present invention provides a computer apparatus, including:

One or more processors;

storage means for storing one or more programs,

The one or more programs, when executed by the one or more processors, cause the one or more processors to implement the methods described above.

In a fourth aspect, embodiments of the present invention provide a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method as described above.

According to the technical scheme, the control unit in the parameter adjusting system is used for collecting the state information of the equipment module, and the artificial intelligent adjusting unit is used for automatically adjusting the parameters of the equipment module according to the collected state information, so that a large amount of testing work is not required to be carried out on each module in the equipment by personnel, the labor cost is saved, and the occupation of the equipment is reduced.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a flowchart of a method for adjusting equipment parameters of a vehicle mold according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of a parameter adjustment system according to a first embodiment of the present invention;

Fig. 3 is a flowchart of a method for adjusting equipment parameters of a vehicle mold according to a second embodiment of the present invention;

fig. 4 is a schematic structural diagram of an apparatus parameter adjusting device for a vehicle mold according to a third embodiment of the present invention;

fig. 5 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.

It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.

Example 1

Fig. 1 is a flowchart of a device parameter adjustment method according to an embodiment of the present invention, where the embodiment is applicable to a case of automatically adjusting a device parameter, and the method may be performed by a device parameter adjustment apparatus according to an embodiment of the present invention, and the apparatus may be implemented in a form of hardware and/or software.

As shown in fig. 1, the method includes:

Step S101, collecting state information of each module in the equipment through a control unit, and transmitting the state information to an artificial intelligent adjusting unit.

Specifically, in this embodiment, a parameter adjustment system is not added between a device and a user terminal, as shown in fig. 2, which is a schematic structural diagram of the parameter adjustment system, and as shown in fig. 2, the parameter adjustment system mainly includes a control unit and an artificial intelligent adjustment unit, where the control unit mainly includes a control module and a downlink interface, where the downlink interface is connected with each module in the device, and the number of the downlink interfaces is matched with and corresponds to the number of the modules in the device, and fig. 2 illustrates that the device includes four modules, and in this embodiment, the specific number of the modules included in the device is not limited. The artificial intelligent regulation unit comprises an optimizer and a parameter interface, wherein the parameter interface is connected with the control unit. Of course, the present embodiment is merely illustrative, and the specific configuration of the parameter adjustment system is not limited thereto. In addition, the apparatus in the present embodiment may be a vehicle apparatus or a plant production apparatus, and the specific type of the apparatus is not limited in the present embodiment, and any apparatus including a plurality of modules is within the scope of the present application.

Optionally, the control unit collects state information of each module in the device and transmits the state information to the artificial intelligence adjusting unit, which includes: the method comprises the steps of collecting state information of each connected module through a downlink interface, and transmitting the state information of each module to a control module; the state information is standardized through the control module and then transmitted to a parameter interface of the artificial intelligent regulation unit.

Specifically, each downlink interface in the control unit may collect the status information of the connected device module, for example, the downlink interface a collects the status information of the module a in the device, the downlink interface B collects the status information of the module B in the device, the downlink interface C collects the status information of the module C in the device, the status information collected by each interface is sent to the control module, and the control module may uniformly perform standardization processing on the status information after obtaining the status information of each module of the device, where, due to different operating environments and languages of each device, the embodiment converts the status information in different formats into data that can be identified by the parameter adjusting system and has uniform format, so as to facilitate the analysis processing of the status information by the subsequent artificial intelligent adjusting unit.

Step S102, generating a device operation result according to the state information through an artificial intelligent adjusting unit, determining a parameter adjusting mode according to the device operation result and the device operation boundary condition, adjusting historical parameters of the device based on the parameter adjusting mode, and obtaining adjusting parameters to be transmitted to a control unit.

Optionally, generating, by the artificial intelligence adjustment unit, a device operation result according to the state information, including: determining a processing algorithm corresponding to the parameter interface through an artificial intelligent adjusting unit; and generating a device operation result according to the standardized state information by adopting a processing algorithm through a parameter interface.

Optionally, before determining the parameter adjustment mode according to the device operation result and the device operation boundary condition, the method further includes: acquiring user requirements through an artificial intelligent regulation unit, and generating equipment operation boundary conditions according to the user requirements; determining a parameter adjustment mode according to the equipment operation result and the equipment operation boundary condition, wherein the parameter adjustment mode comprises the following steps: when the equipment operation result is determined to be not in accordance with the equipment operation boundary condition and the equipment operation result tends to be adjusted by the equipment operation boundary, determining that the parameter adjustment mode is a rewarding mechanism adjustment mode; and when the equipment operation result is determined to be not in accordance with the equipment operation boundary condition and the equipment operation result is far away from the equipment operation boundary condition, determining that the parameter adjustment mode is a punishment mechanism adjustment mode.

Specifically, the control module in this embodiment specifically transmits the standardized state information to the parameter interface in the artificial intelligent regulation unit, and after receiving the state information of each module at the device side, the parameter interface generates a device operation result according to the standardized state information by adopting a pre-configured processing algorithm, for example, according to the state information of the power domain module of the automobile, the state information of the cabin domain module and the state information of the autopilot domain module, by performing analysis processing through the pre-configured processing algorithm, the actual driving comfort score of the side user of the vehicle can be obtained, and the actual driving comfort score is taken as the device operation result.

It should be noted that, the artificial intelligence adjusting unit of the present embodiment further receives the user demand input by the user terminal side, and generates the device boundary condition according to the user demand, for example, for the vehicle autopilot, the demand input by the user is that the seat back is adjusted to 45 degrees, the vehicle running is smooth, no obvious vibration jolt can occur under the normal road condition, the vehicle autopilot is smoothly switched, and the artificial intelligence adjusting unit calculates a target driving comfort score according to the obtained user demand, and uses the target driving comfort score calculated according to the user demand as the vehicle running boundary condition. Of course, in the present embodiment, the specific acquisition mode of the vehicle operation boundary condition is described by taking the vehicle as an example calculation, and in the case of other devices, the artificial intelligence adjustment unit may calculate the device operation boundary condition according to the actual situation of the device, which is not limited in the present embodiment. In addition, in this embodiment, after the device operation result is obtained according to the state information and the device operation boundary condition is generated according to the user requirement, the device operation result and the device operation boundary condition are compared, if the device operation result meets the device operation boundary condition, it is determined that the state parameter of the current device is optimal, without adjustment, but when the device operation result does not meet the device operation boundary condition, the parameter of the device needs to be adjusted, and when the device operation result does not meet the device operation boundary condition, there are two general cases, the first case is that the device operation result tends to be adjusted by the device operation boundary, that is, the device operation result is smaller than the device operation boundary condition, the second case is that the device operation result is far away from the device operation boundary condition, that is, the device operation result is greater than the device operation boundary condition, and different parameter adjustment modes are respectively adopted for different cases, and for the first case, the adjustment mode of the reward mechanism is adopted, and for the second case the punishment mechanism is adopted.

Optionally, adjusting the historical parameters of the device based on the parameter adjustment mode to obtain adjustment parameters and transmitting the adjustment parameters to the control unit, including: determining a parameter adjustment quantity by an optimizer according to a parameter adjustment mode, and adjusting historical parameters by adopting the parameter adjustment quantity to obtain adjustment parameters; the adjustment parameter interface is transmitted to a control module in the control unit through the parameter interface.

It should be noted that, in this embodiment, the determined parameter adjustment manner is sent to the optimizer, and the optimizer determines the parameter adjustment amount according to the parameter adjustment manner, and different parameter adjustment manners may correspond to different parameter adjustment amounts, for example, the parameter adjustment amount parameter corresponding to the reward mechanism adjustment manner is greater than the parameter adjustment amount corresponding to the punishment mechanism adjustment manner. In addition, in this embodiment, because the artificial intelligence adjusting unit locally stores the parameters after the current adjustment for each round of adjustment, the optimizer locally schedules the historical parameters corresponding to the previous adjustment, adjusts the historical parameters by using the parameter adjustment amount to obtain adjustment parameters, and transmits the obtained adjustment parameters to the control module through the parameter interface. For example, when the historical parameter corresponding to the previous adjustment is X, if it is determined that the current adjustment is a reward mechanism adjustment mode and the corresponding parameter adjustment amount is Δx, the adjustment parameter obtained by adjustment is x+Δx; if the current adjustment is determined to be a punishment mechanism adjustment mode, and the corresponding parameter adjustment amount is Δy, the adjustment parameter obtained through adjustment is X- Δy, which is, of course, only illustrated in the embodiment, and the specific acquisition mode of the adjustment parameter is not limited.

Step S103, writing the adjustment parameters into each module of the device by the control unit.

Optionally, writing, by the control unit, the adjustment parameters into each module of the device includes: the control module is used for carrying out non-standardized treatment on the adjustment parameters to obtain the adjustment parameters after the non-standardized treatment; and acquiring module parameters matched with each module in the non-standardized processed adjustment parameters, and writing the module parameters into the module corresponding to the equipment through the downlink interface connected with each module.

Specifically, in this embodiment, after the adjustment parameters are obtained through automatic adjustment by the artificial intelligent adjustment parameters, the adjustment parameters are transmitted to the control module in the control unit, and because the obtained adjustment parameters are a vector array and include adjustment parameter components corresponding to each module in the device, the control module performs non-surface conversion processing on each adjustment parameter component according to the format corresponding to each module so as to obtain module parameters matched with each module; on the other hand, the control module in this embodiment is also responsible for distributing module parameters, and because the module parameters include module identifiers, the control module identifies the module parameters according to the module identifiers, so as to distribute the module parameters to corresponding modules, specifically, write the module parameters into the matched equipment modules through the downlink interfaces connected with the matched modules. For example, when the acquired adjustment parameters are processed to acquire the module parameters X1, X2, X3 and X4, the module parameter X1 is written into the module a through the downlink interface a, the module parameter X2 is written into the module B through the downlink interface B, the module parameter X3 is written into the module C through the downlink interface C, and the module parameter X4 is written into the module D through the downlink interface D.

According to the embodiment of the application, the state information of the equipment module is acquired through the control unit in the parameter adjusting system, and the parameters of the equipment module are automatically adjusted by the artificial intelligent adjusting unit according to the acquired state information, so that a large amount of testing work is not required to be carried out on each module in the equipment by personnel, thereby saving the labor cost and reducing the occupation of the equipment.

Example two

Fig. 3 is a flowchart of a method for adjusting parameters of a device according to a second embodiment of the present invention, where the method further includes detecting an operating state of each module in the device after writing the adjustment parameters into each module of the device by the control unit based on the above embodiment. As shown in fig. 3, the method includes:

Step S201, collecting state information of each module in the equipment through the control unit, and transmitting the state information to the artificial intelligent regulation unit.

Step S202, generating a device operation result according to the state information through an artificial intelligent adjusting unit, determining a parameter adjusting mode according to the device operation result and the device operation boundary condition, adjusting historical parameters of the device based on the parameter adjusting mode to obtain adjusting parameters, and transmitting the adjusting parameters to a control unit.

In step S203, the adjustment parameters are written into each module of the apparatus by the control unit.

Step S204, detecting the working state of each module in the equipment.

In this embodiment, after the control unit writes the parameters of each module into the corresponding device module, the working state of each module is detected in the process that the device operates based on the written parameters of the module, specifically, whether each module works normally is detected, and the specific operation parameters of each module are displayed on the man-machine interaction interface, when the operation parameters of each module exceed the corresponding threshold range, prompt information is generated, and an alarm is given according to the prompt information.

In this embodiment, the alarm may be given in a specific manner, for example, in an image manner or in a voice manner, and the specific manner of the alarm is not limited in this embodiment, so long as the alarm can play a role in prompting the user, the alarm is within the protection scope of the present application. In addition, when the device is determined to operate based on the written module parameters in the embodiment, if an operation abnormality occurs, an operation abnormality result is fed back to the control unit and the artificial intelligent regulation unit, so that the control unit and the artificial intelligent regulation unit correct and regulate a software algorithm of the device according to the feedback, and optimize parameters and acquire new module parameters again after the regulation is determined, when the regenerated module parameters are determined to be still unable to ensure normal operation of the device through re-detection, the hardware device is likely to fail, alarm information of hardware device failure is directly generated, and because the parameter regulation system is only relied on to automatically repair in the case, the alarm information is not fed back to the control unit and the artificial intelligent regulation unit, but is directly displayed to a user, so that the user can maintain the hardware device of the parameter regulation system according to the alarm information of device failure in time, and the efficiency and accuracy of parameter regulation are further improved.

Example III

Fig. 4 is a schematic structural diagram of a device parameter adjusting apparatus according to a third embodiment of the present invention. As shown in fig. 4, the apparatus includes: a status information acquisition module 310, a parameter adjustment module 320, and an adjustment parameter writing module 330.

The state information acquisition module 310 is configured to acquire state information of each module in the device through the control unit, and transmit the state information to the artificial intelligent regulation unit;

The parameter adjusting module 320 is configured to generate an equipment operation result according to the state information through the artificial intelligent adjusting unit, determine a parameter adjusting mode according to the equipment operation result and the equipment operation boundary condition, adjust historical parameters of the equipment based on the parameter adjusting mode, and obtain an adjusting parameter and transmit the adjusting parameter to the control unit;

the adjustment parameter writing module 330 is configured to write, by the control unit, the adjustment parameters to each module of the device.

Optionally, the control unit includes a control module and a downlink interface, where the downlink interface is connected with each module in the device;

the artificial intelligent regulation unit comprises an optimizer and a parameter interface, wherein the parameter interface is connected with the control unit.

Optionally, the status information acquisition module is configured to acquire status information of each connected module through a downlink interface, and transmit the status information of each module to the control module;

the state information is standardized through the control module and then transmitted to a parameter interface of the artificial intelligent regulation unit.

Optionally, the parameter adjusting module includes an equipment operation result generating unit, configured to determine a processing algorithm corresponding to the parameter interface through the artificial intelligent adjusting unit;

And generating a device operation result according to the standardized state information by adopting a processing algorithm through a parameter interface.

Optionally, the device further comprises a device operation boundary condition generating module, which is used for acquiring the user requirement through the artificial intelligent adjusting unit and generating the device operation boundary condition according to the user requirement;

The parameter adjusting module comprises a parameter adjusting unit and a parameter adjusting unit, wherein the parameter adjusting unit is used for determining that the parameter adjusting mode is a rewarding mechanism adjusting mode when the equipment operation result does not accord with the equipment operation boundary condition and the equipment operation result tends to the equipment operation boundary adjustment;

And when the equipment operation result is determined to be not in accordance with the equipment operation boundary condition and the equipment operation result is far away from the equipment operation boundary condition, determining that the parameter adjustment mode is a punishment mechanism adjustment mode.

Optionally, the parameter adjusting module comprises an adjusting parameter transmission unit, and is used for determining a parameter adjusting amount according to a parameter adjusting mode through an optimizer, and adjusting the historical parameter by adopting the parameter adjusting amount to obtain an adjusting parameter;

The adjustment parameter interface is transmitted to a control module in the control unit through the parameter interface.

Optionally, the adjusting parameter writing module is used for performing non-standardized processing on the adjusting parameter through the control module to obtain the adjusting parameter after the non-standardized processing;

And acquiring module parameters matched with each module in the non-standardized processed adjustment parameters, and writing the module parameters into the module corresponding to the equipment through the downlink interface connected with each module.

The device parameter adjusting device provided by the embodiment of the invention can execute the device parameter adjusting method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.

Example IV

Fig. 5 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.

As shown in fig. 5, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.

Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the device parameter adjustment method.

In some embodiments, the device parameter adjustment method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the device parameter adjustment method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the device parameter adjustment method in any other suitable way (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.

The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.

The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims

1. A method for adjusting parameters of a device, the method being applied to a parameter adjustment system, the parameter adjustment system comprising an artificial intelligence adjustment unit and a control unit, the method comprising:

2. The method according to claim 1, wherein the control unit comprises a control module and a downlink interface, wherein the downlink interface is connected with each module in the device;

3. The method according to claim 2, wherein the collecting, by the control unit, status information of each module in the device and transmitting the status information to the artificial intelligence adjustment unit, comprises:

Collecting the state information of each connected module through the downlink interface, and transmitting the state information of each module to the control module;

and the control module is used for carrying out standardized processing on the state information and then transmitting the state information to the parameter interface of the artificial intelligent regulation unit.

4. A method according to claim 3, wherein said generating, by said artificial intelligence adjustment unit, device operation results from said status information comprises:

determining a processing algorithm corresponding to the parameter interface through the artificial intelligent regulation unit;

And generating the equipment operation result according to the standardized state information by adopting the processing algorithm through the parameter interface.

5. The method of claim 2, wherein prior to determining the parameter adjustment based on the plant operation result and the plant operation boundary condition, further comprising:

Acquiring user requirements through the artificial intelligent regulation unit, and generating the equipment operation boundary conditions according to the user requirements;

The method for determining the parameter adjustment mode according to the equipment operation result and the equipment operation boundary condition comprises the following steps:

when the equipment operation result is determined to be not in accordance with the equipment operation boundary condition and the equipment operation result tends to be regulated by the equipment operation boundary, determining that the parameter regulation mode is a reward mechanism regulation mode;

And when the equipment operation result is determined to be not in accordance with the equipment operation boundary condition and is far away from the equipment operation boundary condition, determining that the parameter adjustment mode is a punishment mechanism adjustment mode.

6. The method according to claim 5, wherein the step of adjusting the history parameters of the device based on the parameter adjustment method to obtain adjustment parameters is performed to the control unit, and includes:

Determining a parameter adjustment amount by the optimizer according to the parameter adjustment mode, and adjusting the historical parameters by adopting the parameter adjustment amount to obtain adjustment parameters;

And transmitting the adjustment parameter interface to the control module in the control unit through the parameter interface.

7. The method according to claim 2, characterized in that said writing of said adjustment parameters into modules of the device by the control unit comprises:

The control module performs non-standardized processing on the adjustment parameters to obtain the adjustment parameters after the non-standardized processing;

and acquiring module parameters matched with each module in the adjustment parameters after non-standardized processing, and writing the module parameters into the module corresponding to the equipment through the downlink interface connected with each module.

8. A device parameter adjustment apparatus, comprising:

the state information acquisition module is used for acquiring the state information of each module in the equipment through the control unit and transmitting the state information to the artificial intelligent regulation unit;

9. A computer device, the computer device comprising:

One or more processors;

storage means for storing one or more programs,

When executed by the one or more processors, causes the one or more processors to implement the method of any of claims 1-7.

10. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method according to any of claims 1-7.