CN115145211B - Control method, system, medium and electronic device of non-switching value device - Google Patents
Control method, system, medium and electronic device of non-switching value device Download PDFInfo
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Abstract
An embodiment of the specification provides a control method, a control system, a control medium and an electronic device for a non-switching value device, wherein the method comprises the following steps: acquiring one or more control signal parameters and state return signals of one or more non-switching value devices; constructing one or more first control models based on the one or more control signal parameters and the status return signal; adjusting the one or more first control models based on one or more preset reference models to obtain one or more second control models; the non-switching value equipment is controlled based on the one or more second control models, joint debugging joint control can be performed on the non-switching value equipment of different brands and the same model, and the method has the advantages of reducing the volatility of the whole system, increasing the universality of a control system and reducing the energy consumption.
Description
Technical Field
The present disclosure relates to the field of non-switching value device control, and in particular, to a method, a system, a medium, and an electronic device for controlling a non-switching value device.
Background
A non-switching device refers to a device whose output state is more than "on" and "off". In the prior art, group control debugging of non-switching value equipment needs to manually debug a model through collected data at the initial stage of deployment, and a performance optimal point is determined manually. A large amount of manpower and material resources are needed to be consumed, and the consumed time is long. Especially for products that do not provide a performance curve, it is necessary to manually perform a large number of tests to find and fit the corresponding curve as much as possible. Whether the optimal point can be found depends on manual experience, engineers with different experiences may have great effects, and the control efficiency is low.
And the control systems of the non-switching value devices of different brands are generally independent, such as the control of a compressor main machine and the control of a water-cooling main machine, but joint control and load balancing among multiple machine sets are lacked. The next unit is started after the load of one unit reaches the limit, and because each unit is higher than the condition of medium-low load operation of the two units when the load of each unit is 100%, the energy conservation and emission reduction are not facilitated.
Therefore, it is desirable to provide a method, a system, a medium, and an electronic device for controlling a non-switching device, which can efficiently control the non-switching device with low power consumption.
Disclosure of Invention
In order to overcome the defect of the existing control method for the non-switching value device, one of the embodiments of the present specification provides a control method for the non-switching value device. The method comprises the following steps: acquiring one or more control signal parameters and state return signals of one or more non-switching value devices; constructing one or more first control models based on the one or more control signal parameters and the status return signal; adjusting the one or more first control models based on one or more preset reference models to obtain one or more second control models; controlling a non-switching value device based on the one or more second control models.
In some embodiments, one of the embodiments herein provides a control system for a non-switching device. The system comprises: the acquisition module is used for acquiring one or more control signal parameters and state return signals of one or more non-switching value devices; a first control model building module to build one or more first control models based on the one or more control signal parameters and the status return signal; the second control model building module is used for adjusting the one or more first control models based on one or more preset reference models to obtain one or more second control models; a control module to control a non-switching value device based on the one or more second control models.
In some embodiments, one of the embodiments of the present specification provides a storage medium, in which program instructions are stored, and a computer reads the program instructions and executes the control method of the non-switching value device.
In some embodiments, one of the embodiments of the present specification provides an electronic device, where the electronic device includes at least one processor and at least one memory, where at least one of the memories stores program instructions, and the at least one processor reads the program instructions to execute the control method of the non-switching value device.
Drawings
The present description will be further explained by way of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not intended to be limiting, and in these embodiments like numerals refer to like structures, wherein:
fig. 1 is a schematic diagram of an application scenario of a control system of a non-switching value device according to some embodiments of the present disclosure;
FIG. 2 is a block schematic diagram of a control system 150 for a non-switching device in accordance with some embodiments herein;
FIG. 3 is an exemplary flow chart of a method of controlling a non-switching device in accordance with some embodiments of the present description;
FIG. 4 is an exemplary flow diagram illustrating building a first control model according to some embodiments of the present description;
FIG. 5 is an exemplary flow diagram illustrating building a second control model according to some embodiments of the present description.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present specification, the drawings used in the description of the embodiments will be briefly described below. It is obvious that the drawings in the following description are only examples or embodiments of the present description, and that for a person skilled in the art, without inventive effort, the present description can also be applied to other similar contexts on the basis of these drawings. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this specification and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural, unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used in this description to illustrate operations performed by a system according to embodiments of the present description. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to or removed from these processes.
Fig. 1 is a schematic diagram of an application scenario 100 of a control system of a non-switching value device according to some embodiments of the present application.
As shown in fig. 1, the application scenario 100 may include a processing device 110, a network 120, a user terminal 130, a storage device 140, and a control system 150 of a non-switching device.
In some embodiments, the processing device 110 may process information or data in the application scenario 100. For example, the processing device 110 may send a control signal to a control module of the control system 150 of the non-switching value device, where the control module controls the acquisition module to acquire a control signal parameter and a status return signal of the non-switching value device, and constructs a first control model and a second control model based on the acquired control signal parameter and status return signal, so as to control the non-switching value device.
In some embodiments, the processing device 110 may be regional or remote. For example, processing device 110 may access information and/or profiles stored in user terminal 130 and storage device 140 via network 120. In some embodiments, processing device 110 may be directly connected to user terminal 130 and storage device 140 to access information and/or material stored therein. In some embodiments, the processing device 110 may execute on a cloud platform. For example, the cloud platform may include one or any combination of a private cloud, a public cloud, a hybrid cloud, a community cloud, a decentralized cloud, an internal cloud, and the like. In some embodiments, the processing device 110 may comprise a processor, which may comprise one or more sub-processors (e.g., a single core processing device or a multi-core processing device). Merely by way of example, a processor may include a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), an Application Specific Instruction Processor (ASIP), a Graphics Processor (GPU), a Physical Processor (PPU), a Digital Signal Processor (DSP), a Field Programmable Gate Array (FPGA), a programmable logic circuit (PLD), a controller, a microcontroller unit, a Reduced Instruction Set Computer (RISC), a microprocessor, and the like or any combination thereof.
The network 120 may facilitate the exchange of data and/or information in the application scenario 100. In some embodiments, one or more components in the application scenario 100 (e.g., the processing device 110, the user terminal 130, the storage device 140, and the control system 150 of the non-switching devices) may send data and/or information to other components in the application scenario 100 over the network 120. In some embodiments, the network 120 may be any type of wired or wireless network. For example, network 120 may include a cable network, a wired network, a fiber optic network, a telecommunications network, an intranet, the Internet, a Local Area Network (LAN), a Wide Area Network (WAN), a wireless area network (WLAN), a Metropolitan Area Network (MAN), a Public Switched Telephone Network (PSTN), a Bluetooth network, a ZigBee network, a Near Field Communication (NFC) network, the like, or any combination thereof.
The user terminal 130 may obtain information or data in the application scenario 100, and the user (e.g., a user of the non-switching device based control system 150) may be a user of the user terminal 130. For example, the user terminal 130 may send the control instruction processing device 110 through the network 120, and the processing device 110 may obtain the control signal parameters and the state return signals of the non-switching value device through the acquisition module of the control system 150 of the non-switching value device according to the control instruction, and control the non-switching value device based on the second control model building module. In some embodiments, the user terminal 130 may include one or any combination of a mobile device, a tablet, a laptop, and the like. In some embodiments, the mobile device may include a wearable device, a smart mobile device, a virtual reality device, an augmented reality device, the like, or any combination thereof.
In some embodiments, the storage device 140 may be connected to the network 120 to enable communication with one or more components of the application scenario 100 (e.g., the processing device 110, the user terminal 130, etc.). One or more components of the application scenario 100 may access material or instructions stored in the storage device 140 through the network 120. In some embodiments, the storage device 140 may be directly connected to or in communication with one or more components (e.g., the processing device 110, the user terminal 130) in the application scenario 100. In some embodiments, the storage device 140 may be part of the processing device 110.
The control system 150 of the non-switching value device is a system for controlling a plurality of non-switching value devices. The non-switching device based control system 150 may exchange data and/or information with one or more components (e.g., the processing device 110, the user terminal 130, and the storage device 140) in the application scenario 100. For more description of the control system 150 for non-switching devices, reference may be made to fig. 2 and its associated description.
It should be noted that the foregoing description is provided for illustrative purposes only, and is not intended to limit the scope of the present application. Many variations and modifications will occur to those skilled in the art in light of the teachings herein. The features, structures, methods, and other features of the exemplary embodiments described herein may be combined in various ways to obtain additional and/or alternative exemplary embodiments. For example, the storage device 140 may be a data storage device comprising a cloud computing platform, such as a public cloud, a private cloud, a community cloud, a hybrid cloud, and the like. However, such changes and modifications do not depart from the scope of the present application.
It should be understood that the system and its modules shown in FIG. 1 may be implemented in a variety of ways. It should be noted that the above description of the application scenario 100 is merely for convenience of description and is not intended to limit the present specification to the scope of the illustrated embodiments.
FIG. 2 is a block schematic diagram of a control system 150 for a non-switching device in accordance with some embodiments described herein.
As shown in fig. 2, a control system of a non-switching value device may include an acquisition module, a first control model building module, a second control model building module, and a control module.
The acquisition module may be configured to acquire one or more control signal parameters and status return signals of one or more non-switching devices. In some embodiments, the one or more non-switching volume devices comprise one or more numbers of non-switching volume devices of the same class and one or more numbers of non-switching volume devices of a different class. For more description of the acquisition module, reference may be made to fig. 3 and its related description, which are not repeated herein.
The first control model building module may be for building one or more first control models based on the one or more control signal parameters and the status return signal. For example, the first control model building module may build a first control model based on the current parameters and the power signal, and the first control model may be a first order function, a second order function, or other higher order function. For more description of the first control model, reference may be made to fig. 4 and its related description, which are not repeated herein.
The second control model building module may be configured to adjust the one or more first control models based on one or more preset reference models to obtain one or more second control models. The preset reference model may be a linear function. For example, the reference model of the current parameter and the power signal of the variable frequency water pump may be preset as follows: y = kx + b where x may be a current parameter, y may be a power signal, and k and b may be calculated by sampling. In some embodiments, the second control model may be obtained by adjusting the first control model based on the reference model, and further description about the second control model may refer to fig. 5 and its related description, which are not repeated herein.
The control module may be configured to control the non-switching value devices based on one or more second control models. In some embodiments, the control model may control one or more non-switching volume devices based on the one or more second control models and/or control non-switching volume devices of a different make, model, or models than the one or more non-switching volume devices based on the one or more second control models.
In some embodiments, the control model may control one or more non-switching devices based on one or more second control models. For example: the current parameters and power signals of different kinds of non-switching value devices a and b are obtained respectively, and second control models a1 and b1 are established, and one or more a and one or more b can be controlled by using the second control model a 1. Because can use a plurality of second control model control a plurality of different kinds of non-switching value equipment, improved the efficiency of the multiple kind of non-switching value equipment of overall control a plurality of quantity, the second control model that the characteristic was established according to non-switching value equipment can carry out accurate control to this kind of non-switching value equipment.
In some embodiments, the control model may control non-switching volume devices of a different brand, same model as the one or more non-switching volume devices based on the one or more second control models. For example, two pumps of the same type with brand a and brand b, the power of both pumps appears the same on the nameplate, but it has been found that it takes 5 minutes for brand a to increase from 10% to 20% and then it takes one hour for brand b to increase from 10% to 20%. Since the second control models for brands a and b are obtained, respectively, it is known how far in advance a and b are going to be driven the same, e.g., from 10% to 20%. For example, a may wait until b is almost 15% before turning on a, so that a and b may be output substantially simultaneously, thereby reducing the extreme case of the system, which may be embodied as reducing the flow-through and backflow in a fluid pump system. The non-switching value devices of the same model of different brands are subjected to joint debugging and joint control, so that the volatility of the whole system can be reduced, the universality of a control system is improved, the brand can be crossed, and the energy consumption is reduced.
It should be noted that the above descriptions of the acquisition module, the first control model building module, the second control model building module, and the control module are only for convenience of description, and the description should not be limited to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the system, any combination of modules or sub-system configurations can be used to connect to other modules without departing from such teachings. In some embodiments, the acquisition module, the first control model building module, the second control model building module, and the control module disclosed in fig. 2 may be different modules in a system, or may be a module that implements the functions of two or more of the above modules. For example, each module may share one memory module, and each module may have its own memory module. Such variations are within the scope of the present description.
Fig. 3 is an exemplary flow chart of a method of controlling a non-switching value device according to some embodiments described herein.
As shown in fig. 3, a control method of a non-switching amount device includes the following steps. In some embodiments, a method of controlling a non-switching value device may be performed by a control system of a non-switching value device and the processing device 110.
At step 310, one or more control signal parameters and status return signals for one or more non-switching devices are obtained. In some embodiments, step 310 may be performed by an acquisition module.
A non-switching value device refers to a device whose output state is more than "on" or "off", for example: variable frequency pump, air-blower, variable frequency water pump, variable frequency cooling water set, dimming lamp, variable speed fan, etc. The control signal parameters refer to parameters which can be used by the system to control non-switching value equipment, such as current load, voltage, current, duty ratio, rotating speed and the like. The status return signal is a parameter for returning status information, for example: load, power. In some embodiments, the control signal parameters may be acquired by a sensing device. For example, a current parameter is obtained by a current sensor, a voltage parameter is obtained by a voltage sensor, and a rotation speed is obtained by a rotation speed sensor. In some embodiments, the current load and power can be obtained through system calculation, and the duty ratio can be obtained through a nameplate of the equipment. In some embodiments, the one or more non-switching volume devices comprise one or more numbers of non-switching volume devices of the same class and one or more numbers of non-switching volume devices of a different class.
In some embodiments, a control signal parameter of a non-switching device, such as a time-varying current parameter of a variable frequency water pump, may be obtained. In some embodiments, the same one control signal parameter may be obtained for a plurality of non-switching devices, for example, current parameters for a blower and a variable frequency water pump. In some embodiments, a plurality of control signal parameters of a non-switching device, such as a time-varying voltage parameter and a current parameter of the variable frequency water pump, may be obtained. In some embodiments, multiple control signal parameters for multiple non-switching devices may be obtained, such as: the current parameter and the voltage parameter of the air blower changing along with time, and the current parameter and the voltage parameter of the variable frequency water pump changing along with time.
At step 320, one or more first control models are constructed based on the one or more control signal parameters and the status return signal. In some embodiments, step 320 may be performed by a first control model building module.
The first control model may be constructed based on a plurality of control signal parameters and a state return signal. For example, a first control model may be constructed based on the current parameters and the power signal, which may be a first order function, a second order function, or other higher order function. For more description of the first control model, reference may be made to fig. 4 and its related description, which are not repeated herein.
Step 330, adjusting one or more first control models based on one or more preset reference models to obtain one or more second control models. In some embodiments, step 330 may be performed by a second control model building module.
The preset reference model may be a linear function, other higher-order functions, an exponential function, or the like. The predetermined reference model may be obtained by a linear regression method. For example, the reference model of the current parameter and the power signal of the variable frequency water pump may be preset as follows: y = kx + b, where x may be a current parameter, y may be a power signal, and k and b may be calculated by sampling. In some embodiments, the system may not just calculate k and b. The system may also add coefficients or constants, or may add variables. In some embodiments, the second control model may be obtained by adjusting the first control model based on the reference model, and further description about the second control model may refer to fig. 5 and its related description, which are not repeated herein.
And step 340, controlling the non-switching value equipment based on one or more second control models. In some embodiments, step 340 may be performed by a control module.
In some embodiments, the control model may control the one or more non-switching volume devices based on the one or more second control models and/or control non-switching volume devices of a different brand, same model, than the one or more non-switching volume devices based on the one or more second control models.
In some embodiments, the control model may control one or more non-switching devices based on one or more second control models. For example: the current parameters and power signals of different kinds of non-switching value devices a and b are obtained respectively, and second control models a1 and b1 are established, and one or more a and one or more b can be controlled by using the second control model a 1. Because can use a plurality of second control model control a plurality of different kinds of non-switching value equipment, improved the efficiency of the multiple kind of non-switching value equipment of overall control a plurality of quantity, the second control model that the characteristic was established according to non-switching value equipment can carry out accurate control to this kind of non-switching value equipment.
In some embodiments, a non-switching volume device of a different brand, same model, as the one or more non-switching volume devices may be controlled based on the one or more second control models. For example, two pumps of the same type with brand a and brand b, the power of both pumps appears the same on the nameplate, but it has been found that it takes 5 minutes for brand a to increase from 10% to 20% and then it takes one hour for brand b to increase from 10% to 20%. By having a second control model for brands a and b, respectively, it can be known how far in advance pump b is to be driven the same, e.g., from 10 to 20 percent. For example, a may wait until b is almost 15% before turning on a, so that a and b may be output substantially simultaneously, thereby reducing the extreme case of the system, which may be embodied as reducing the flow-through and backflow in a fluid pump system. The non-switching value devices of the same model of different brands are subjected to joint debugging and joint control, so that the volatility of the whole system can be reduced, the universality of a control system is improved, the brand can be crossed, and the energy consumption is reduced.
FIG. 4 is an exemplary flow diagram illustrating building a first control model according to some embodiments herein.
As shown in fig. 4, constructing the first control model includes the following steps.
At step 410, data for one or more control signal parameters and status return signals is sampled. In some embodiments, step 410 may be performed by a first control model building module.
Data sampling may be performed with multiple control parameters of the non-switching devices and status return signals. Taking the rotating speed and the current of the variable frequency water pump as examples, the rotating speed is taken as a first independent variable, the current is taken as a second independent variable, and the load is taken as a dependent variable, so that data sampling can be respectively carried out on the rotating speed and the current of the variable frequency water pump and the corresponding load.
And step 420, performing data fitting based on the sampled data to obtain one or more first control models. In some embodiments, step 420 may be performed by a first control model building module.
And performing data fitting on the obtained control parameters of the non-switching value equipment and the state return signals to obtain a first control model. For example, linear regression fitting, nonlinear regression fitting, exponential fitting, logarithmic fitting, or the like is performed to obtain the correspondence between the control parameters and the state return signals of the non-switching value devices. Taking the rotating speed and the load of the variable-frequency water pump as an example, after N data pairs of the rotating speed and the load of the variable-frequency water pump are obtained, data fitting is carried out on the N data pairs, and a function which describes the relationship between the rotating speed and the load most accurately is selected as a first control model. Specifically, a scatter diagram may be established based on SPSS software according to the acquired rotation speeds of the variable frequency water pumps at the multiple time points and the loads of the variable frequency water pumps corresponding to the multiple time points, multiple candidate fitting curves may be acquired through multiple curve fitting forms (for example, linear regression fitting, nonlinear regression fitting, exponential fitting, logarithmic fitting, or the like), and a candidate fitting curve that best fits the scatter diagram may be selected from the multiple candidate fitting curves as the first control model. It is understood that the first control model obtained by selecting different control parameters and state return signals of non-switching value devices is different, and this embodiment is only for illustration and is not intended to limit the scope of this disclosure.
In some embodiments, the first control model may also be a machine learning model, wherein the input of the machine learning model is a control parameter (e.g., a rotational speed) of the non-switching value device and the output of the machine learning model is a return signal (e.g., a current) of the non-switching value device. The machine learning model may include, but is not limited to, a Neural Network (NN), a Convolutional Neural Network (CNN), a Deep Neural Network (DNN), a Recurrent Neural Network (RNN), etc., or any combination thereof, for example, the machine learning model may be a model formed by a combination of a convolutional neural network and a deep neural network.
The specific process of establishing the first control model may be: the method comprises the steps of establishing an initial machine learning model in advance, obtaining a non-switching value device control signal (for example, rotating speed), and generating a first training sample, wherein the label of the first training sample is the control signal (for example, current) of the non-switching value device. And updating parameters of the initial machine learning model based on the first training sample until the trained initial machine learning model meets the preset conditions to obtain the trained machine learning model. The preset condition may be that the loss function converges, the loss function value is smaller than a preset value, or the iteration number is greater than a preset number, etc. It is understood that the first control model obtained by selecting different control parameters and state return signals of non-switching value devices is different, and this embodiment is only for illustration and is not intended to limit the scope of this disclosure.
FIG. 5 is an exemplary flow diagram illustrating building a second control model according to an embodiment of the present description.
As shown in fig. 5, constructing the second control model includes the following steps.
Step 510, comparing one or more first control models with the corresponding preset one or more reference models. Step 510 may be performed by a second control model building module.
The preset reference model may be a linear function, other higher-order functions, an exponential function, or the like. The predetermined reference model may be obtained by a linear regression method. For example, the reference model of the current parameter and the power signal of the variable frequency water pump may be preset as follows: y = kx + b, where x may be a current parameter, y may be a power signal, and k and b may be calculated by sampling.
And 520, performing data sampling on data intervals of one or more first control models closest to one or more preset reference models. Step 520 may be performed by a second control model building module.
The comparison with the first control model may be performed by fitting a preset power variation curve of a reference model. Taking the current and the voltage of the variable-frequency water pump as independent variables, taking the flow and the lift as dependent variables as examples, in the initial deployment, N independent variable data points for testing are uniformly input into the control range of the control component, and after the dependent variable changes stably every time, the response time stamp of the change from the last stable state and the re-stabilization is recorded, and the stable rotating speed is recorded at the same time. After N state points are obtained in sequence, a preset power efficiency curve of a reference model is fitted, and a fitted control interval with the mapping relation y = f (x) is intercepted.
And step 530, performing data fitting based on the sampled data to obtain one or more second control models. Step 530 may be performed by a second control model building module.
And reading the change and stable interval among the common control points based on the obtained linear control interval, and further valuing and fitting a control curve in the interval to obtain the adjusted second control model. It can be understood that, in order to increase the control accuracy, after the change and the stable interval between each common control point are read, fitting can be performed more than once, and the second control model is continuously adjusted to obtain a more accurate control model.
In some embodiments, when the plurality of second control models are obtained, a global optimal solution of the plurality of second control models may also be obtained, and the plurality of non-switching value devices are group-controlled based on the global optimal solution.
In some embodiments, the plurality of second control models may be stacked to obtain a high-dimensional control model, and a common area with the highest energy efficiency in the high-dimensional control model in the stacked state of the plurality of second control models is a global optimal solution. Each non-switching value device works in the area to carry out group control on a plurality of non-switching value devices. And carrying out group control on a plurality of non-switching value devices based on the global optimal solution.
It should be noted that the above description of a control method for a non-switching value device is for illustration and description only, and does not limit the scope of application of the present specification. It will be apparent to those skilled in the art that various modifications and variations can be made in the control method of a non-switching amount device under the guidance of the present specification. However, such modifications and variations are intended to be within the scope of the present description.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be regarded as illustrative only and not as limiting the present specification. Various modifications, improvements and adaptations to the present description may occur to those skilled in the art, though not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present specification and thus fall within the spirit and scope of the exemplary embodiments of the present specification.
Also, the description uses specific words to describe embodiments of the description. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the specification is included. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, certain features, structures, or characteristics may be combined as suitable in one or more embodiments of the specification.
Additionally, the order in which elements and sequences are described in this specification, the use of numerical letters, or other designations are not intended to limit the order of the processes and methods described in this specification, unless explicitly stated in the claims. While various presently contemplated embodiments of the invention have been discussed in the foregoing disclosure by way of example, it is to be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the present specification, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to imply that more features than are expressly recited in a claim. Indeed, the embodiments may be characterized as having less than all of the features of a single disclosed embodiment.
For each patent, patent application publication, and other material, such as articles, books, specifications, publications, documents, etc., cited in this specification, the entire contents of each are hereby incorporated by reference into this specification. Except where the application history document does not conform to or conflict with the contents of the present specification, it is to be understood that the application history document, as used herein in the present specification or appended claims, is intended to define the broadest scope of the present specification (whether presently or later in the specification) rather than the broadest scope of the present specification. It is to be understood that the descriptions, definitions and/or uses of terms in the accompanying materials of this specification shall control if they are inconsistent or contrary to the descriptions and/or uses of terms in this specification.
Claims (6)
1. A method of controlling a non-switching value device, comprising:
acquiring one or more control signal parameters and state return signals of one or more non-switching value devices, wherein the control signal parameters refer to parameters which can be used by the system to control the non-switching value devices, and the state return signals refer to parameters for returning state information;
constructing one or more first control models based on the one or more control signal parameters and the status return signal;
adjusting the one or more first control models based on one or more preset reference models to obtain one or more second control models, including:
comparing the one or more first control models with the corresponding preset one or more reference models;
data sampling data intervals of the one or more first control models closest to the preset one or more reference models;
performing data fitting based on the sampled data to obtain one or more second control models; controlling a non-switching value device based on the one or more second control models, comprising:
controlling and/or controlling the one or more non-switching quantity devices based on the one or more second control models
Controlling non-switching volume devices of a different brand, same model, as the one or more non-switching volume devices based on the one or more second control models;
the method further comprises the steps of obtaining a global optimal solution of the plurality of second control models, and performing group control on the plurality of non-switching value devices based on the global optimal solution, wherein the obtaining of the global optimal solution comprises the following steps:
and obtaining a high-dimensional control model by superposing the plurality of second control models, and taking a common area with the highest energy efficiency in the superposition state of the plurality of second control models from the high-dimensional control model.
2. The control method of claim 1, wherein said constructing one or more first control models based on the one or more control signal parameters and the status return signal comprises:
sampling data of the one or more control signal parameters and the status return signal;
and performing data fitting based on the sampled data to obtain the one or more first control models.
3. A control system for a non-switching value device, comprising:
the acquisition module is used for acquiring one or more control signal parameters and state return signals of one or more non-switching value devices;
a first control model building module to build one or more first control models based on the one or more control signal parameters and the status return signal;
a second control model building module, configured to adjust the one or more first control models based on one or more preset reference models, to obtain one or more second control models, including:
comparing the one or more first control models with the corresponding preset one or more reference models;
performing data sampling on a data interval of the one or more first control models closest to the preset one or more reference models;
performing data fitting based on the sampled data to obtain the one or more second control models;
a control module to control a non-switching value device based on the one or more second control models, comprising:
controlling and/or regulating the one or more non-switching quantity devices based on the one or more second control models;
controlling non-switching volume devices of a different brand, same model, as the one or more non-switching volume devices based on the one or more second control models;
the method further comprises the steps of obtaining a global optimal solution of the plurality of second control models, and performing group control on the plurality of non-switching value devices based on the global optimal solution, wherein the obtaining of the global optimal solution comprises the following steps:
and obtaining a high-dimensional control model by superposing the second control models, and taking a common area with the highest energy efficiency in the high-dimensional control model in the superposed state of the second control models.
4. The control system of claim 3, wherein the first control model building module is further configured to:
sampling data of the one or more control signal parameters and the status return signal;
and performing data fitting based on the sampled data to obtain the one or more first control models.
5. A storage medium having stored therein program instructions, wherein a computer reads the program instructions and executes the method for controlling a non-switching device according to claim 1 or 2.
6. An electronic device comprising at least one processor and at least one memory, at least one of the memories storing program instructions, at least one of the processors executing the method for controlling a non-switching device according to claim 1 or 2 when reading the program instructions.
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