CN117473910A - Method and device for selecting low-voltage electrical apparatus components, computer equipment and storage medium - Google Patents
Method and device for selecting low-voltage electrical apparatus components, computer equipment and storage medium Download PDFInfo
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Abstract
The application relates to a low-voltage electrical apparatus component type selection method, a device, computer equipment, a storage medium and a computer program product. The method comprises the following steps: acquiring demand parameters input for components on a motor loop; generating a type selection information option matched with the demand parameters according to the type selection information of the components stored in the type selection information base; acquiring type selection information selected based on type selection information options; according to the selected type information, type selection scheme information corresponding to the motor loop is obtained; the model selection scheme information includes target model selection information of each component on the motor circuit. The method can improve the accuracy of the type selection of the low-voltage electrical apparatus components on the motor loop.
Description
Technical Field
The present disclosure relates to the field of component technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for selecting a low-voltage electrical component.
Background
The selection of components on the motor loop is an important link in the design of a motor system, and the purpose of the selection is to ensure that the motor loop can normally operate and meet the performance requirements and safety standards. How to select proper components to meet the operation requirement of the motor loop and improve the safety and stability of the motor loop becomes an important research direction at present.
When the current power station selects components for the motor loop, the electric staff usually selects the components according to the motor loop requirement and working experience. The mode of manually selecting the components for the motor loop is low in working efficiency, and lacks a complete and scientific quantization process, so that the accuracy of the component selection result is low.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a low-voltage electrical component type selection method, apparatus, computer device, computer readable storage medium, and computer program product that can improve accuracy in low-voltage electrical component type selection on a motor circuit.
In a first aspect, the present application provides a method for selecting a low voltage electrical component. The method comprises the following steps:
acquiring demand parameters input for components on a motor loop;
generating a type selection information option matched with the requirement parameter according to the type selection information of a plurality of components stored in the type selection information base;
acquiring type selection information selected based on the type selection information options;
according to the selected type selection information, type selection scheme information corresponding to the motor loop is obtained; the type selection scheme information comprises target type selection information of each component on the motor loop.
In one embodiment, prior to obtaining the demand parameters for the component inputs on the motor circuit, further comprising:
determining a target voltage of components on the motor loop according to the voltage of a bus of the motor loop;
determining a target current lower limit of components on the motor loop according to motor data of the motor loop and the voltage of the bus;
and determining a target parameter range of components on the motor loop according to the target current lower limit and the target voltage.
In one embodiment, obtaining demand parameters for component inputs on a motor circuit includes:
acquiring parameters to be detected input for components on the motor loop; wherein the parameters to be detected comprise a current lower limit and a voltage;
judging whether the parameter to be detected is in the target parameter range or not;
and if the parameter to be detected is detected to be in the target parameter range, setting the parameter to be detected as a demand parameter of components on the motor loop.
In one embodiment, generating the selection information option matched with the requirement parameter according to the selection information of the plurality of components stored in the selection information base includes:
generating a model selection knowledge graph of the model selection information base according to model selection information of a plurality of components stored in the model selection information base;
and inputting the demand parameters into the model selection knowledge graph to obtain model selection information options matched with the demand parameters.
In one embodiment, generating the selection information option matched with the requirement parameter according to the selection information of the plurality of components stored in the selection information base includes:
training to obtain a component model selection prediction model based on the model selection information of a plurality of components stored in the model selection information base;
and inputting the demand parameters into the component model selection prediction model to obtain model selection information options matched with the demand parameters.
In one embodiment, after generating the selection information options matched with the requirement parameters according to the selection information of the components stored in the selection information base, the method further includes:
acquiring performance indexes of each candidate component corresponding to the type selection information options;
sorting the plurality of candidate components according to the performance index of each candidate component to obtain sorted components corresponding to the plurality of candidate components;
and updating the type selection information options according to the ordered components.
In one embodiment, after obtaining the type selection scheme information corresponding to the motor loop according to the selected type selection information, the method further includes:
responding to the modification operation of the type selection information to obtain modified type selection information;
and obtaining updated model selection scheme information corresponding to the motor loop according to the modified model selection information.
In a second aspect, the present application further provides a low-voltage electrical component type selection device. The device comprises:
the demand acquisition module is used for acquiring demand parameters input for components on the motor loop;
the option generating module is used for obtaining the option of the type selection information matched with the requirement parameter according to the type selection information of the components stored in the type selection information base;
the type selection module is used for acquiring type selection information selected based on the type selection information options;
the scheme determining module is used for obtaining the type selection scheme information corresponding to the motor loop according to the selected type selection information; the type selection scheme information comprises target type selection information of each component on the motor loop.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory storing a computer program and a processor which when executing the computer program performs the steps of:
acquiring demand parameters input for components on a motor loop;
generating a type selection information option matched with the requirement parameter according to the type selection information of a plurality of components stored in the type selection information base;
acquiring type selection information selected based on the type selection information options;
according to the selected type selection information, type selection scheme information corresponding to the motor loop is obtained; the type selection scheme information comprises target type selection information of each component on the motor loop.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
acquiring demand parameters input for components on a motor loop;
generating a type selection information option matched with the requirement parameter according to the type selection information of a plurality of components stored in the type selection information base;
acquiring type selection information selected based on the type selection information options;
according to the selected type selection information, type selection scheme information corresponding to the motor loop is obtained; the type selection scheme information comprises target type selection information of each component on the motor loop.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprises a computer program which, when executed by a processor, implements the steps of:
acquiring demand parameters input for components on a motor loop;
generating a type selection information option matched with the requirement parameter according to the type selection information of a plurality of components stored in the type selection information base;
acquiring type selection information selected based on the type selection information options;
according to the selected type selection information, type selection scheme information corresponding to the motor loop is obtained; the type selection scheme information comprises target type selection information of each component on the motor loop.
The method, the device, the computer equipment, the storage medium and the computer program product for selecting the low-voltage electrical apparatus components acquire the requirement parameters input for the components on the motor loop; generating a type selection information option matched with the demand parameters according to the type selection information of the components stored in the type selection information base; acquiring type selection information selected based on type selection information options; according to the selected type information, type selection scheme information corresponding to the motor loop is obtained; the model selection scheme information includes target model selection information of each component on the motor circuit. By adopting the method, the model selection scheme information of the motor loop can be automatically generated according to the performance parameters of the motor loop and the demand parameters of the components, so that the model selection efficiency of the low-voltage electrical components on the motor loop is improved, and meanwhile, the model selection accuracy of the low-voltage electrical components on the motor loop is also improved.
Drawings
FIG. 1 is a schematic flow chart of a method for selecting low-voltage electrical components in one embodiment;
FIG. 2 is a flow chart of the steps for determining a target parameter range for a component on a motor circuit in one embodiment;
FIG. 3 is a flow chart of a method for selecting low voltage electrical components in another embodiment;
FIG. 4 is a block diagram of a low voltage electrical component selection apparatus in one embodiment;
fig. 5 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
It should be noted that, the user information (including, but not limited to, user equipment information, user personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) referred to in the present application are information and data authorized by the user or sufficiently authorized by each party, and the collection, use, and processing of the related data are required to meet the related regulations.
In one embodiment, as shown in fig. 1, a method for selecting a low-voltage electrical device is provided, and this embodiment is applied to a terminal for illustration by using the method, it is understood that the method may also be applied to a server, and may also be applied to a system including the terminal and the server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
step S101, a demand parameter input for a component on the motor circuit is acquired.
The motor loop refers to a circuit system formed by a motor, a power supply, a controller, a protector and other components. The motor loop is used for converting the electric energy of the power supply into mechanical energy and driving the motor to normally operate. The demand parameter refers to a parameter of a component that needs to be configured for the motor circuit.
Specifically, the terminal determines a target parameter range of the component on the motor circuit based on the motor data on the motor circuit and the bus data on the motor circuit. The terminal displays a component query interface, a user can input the requirement parameters of the component on the component query interface, and the terminal obtains the requirement parameters input on the component query interface.
Step S102, according to the type selection information of the components stored in the type selection information base, type selection information options matched with the requirement parameters are obtained.
The type selection information refers to information such as the model number, price, goods period, manufacturer, historical failure rate and the like of the components.
Specifically, the type selection information base is a database constructed based on big data technology. The terminal can obtain components matched with the demand parameters in the model selection information base and model selection information of the matched components according to the demand parameters; and generating type selection information options matched with the components on the motor loop according to the type selection information of the matched components, wherein the type selection information options can be displayed on a terminal interface in a form of a drop-down frame. The type selection information options comprise model numbers, prices, goods periods, manufacturers, manufacturer credit information, historical price, historical failure rate, cost performance, reliability and the like.
Step S103, the type selection information selected based on the type selection information options is acquired.
Specifically, the user views the type selection information options (such as a drop-down box) displayed by the terminal, selects proper type selection information (such as a type selection, a price, a manufacturer and the like) from the type selection information options, and then the terminal acquires the type selection information selected by the user.
Step S104, according to the selected type selection information, the type selection scheme information corresponding to the motor loop is obtained; the model selection scheme information includes target model selection information of each component on the motor circuit.
The pattern selection scheme information refers to a scheme of pattern selection information about each component on the motor circuit. For example, the option information may describe option information of components such as QS1 (isolating switch), Q2 (transistor), thermal relay, RCD (residual current device) on the entire motor circuit.
Specifically, the terminal generates the entire set of pattern selection schemes (i.e., pattern selection scheme information) corresponding to the motor circuit according to the pattern selection information selected by the user for the pattern selection information option. Of course, the user can also manually modify the model selection information, and the generated model selection scheme corresponding to the motor loop is updated accordingly, namely, the model selection scheme information is automatically updated after the user modifies the model selection information.
In the method for selecting the low-voltage electrical apparatus components, the demand parameters input for the components on the motor loop are obtained; according to the type selection information of a plurality of components stored in the type selection information base, obtaining type selection information options matched with the requirement parameters; acquiring type selection information selected based on type selection information options; according to the type selection information, obtaining type selection scheme information corresponding to the motor loop; the model selection scheme information includes target model selection information of each component on the motor circuit. By adopting the method, the model selection scheme information of the motor loop can be automatically generated according to the performance parameters of the low-voltage electric appliance on the motor loop and the demand parameters of the components, so that the model selection efficiency of the low-voltage electric appliance components on the motor loop is improved, and meanwhile, the model selection accuracy of the low-voltage electric appliance components on the motor loop is also improved.
In one embodiment, as shown in fig. 2, before obtaining the demand parameters input for the components on the motor circuit in step S101, the method further includes:
step S201, determining a target voltage of a component on the motor circuit from a voltage of a bus of the motor circuit.
Specifically, the motor circuit has a bus bar whose voltage may be 400V or 200V, and the terminal sets the 400V (or 200V) voltage of the bus bar as the target voltage of the components on the motor circuit.
Step S202, determining a target current lower limit of components on the motor circuit based on motor data of the motor circuit and a voltage of the bus.
Specifically, the terminal may query, according to motor data and bus data of the motor loop, a correspondence between voltages of the motor data and the bus and a lower current limit of the component, to obtain a target lower current limit of the component on the motor loop, for example, a target lower current limit of the component such as QS1, Q2, a thermal relay, RCD, and the like.
Step S203, determining a target parameter range of the component on the motor loop according to the target current lower limit and the target voltage.
Specifically, the terminal acquires a current peak value and fault-tolerant voltage of a motor loop; determining a target current range of components on the motor loop according to the current peak value and the target current lower limit; the terminal calculates a target voltage range of the target voltage according to the fault-tolerant voltage, for example, the target voltage is taken as a center, N fault-tolerant voltages are allowed to be deviated upwards and N fault-tolerant voltages are allowed to be deviated downwards, and then the target voltage range is obtained. The terminal sets the target current range and the target voltage range as target parameter ranges for components on the motor circuit.
In this embodiment, the target voltage and the target current lower limit of the components on the motor loop are determined according to the motor data and the voltage of the bus of the motor loop, and then the target parameter range of the components on the motor loop is determined according to the target current lower limit and the target voltage, so that a detection basis can be provided for the demand parameters input by the user, the demand parameters input by the user are prevented from deviating from the actual motor loop, and the accuracy of the type selection of the components of the low-voltage electrical appliances on the motor loop is further improved.
In one embodiment, the step S101 includes the following steps of: acquiring parameters to be detected input for components on a motor loop; the parameters to be detected comprise a current lower limit and a voltage; judging whether the parameter to be detected is in the range of the target parameter; if the parameter to be detected is detected to be in the target parameter range, the parameter to be detected is set as a demand parameter of components on the motor loop.
Specifically, the user may input parameter information, such as a lower current limit and a voltage of each component, respectively, for each component on the motor circuit; the terminal acquires the parameter information input by the user and sets the parameter information as the parameter to be detected. The terminal judges whether the parameter to be detected is in the range of the target parameter; if the parameter to be detected is detected not to be in the target parameter range, generating prompt information to prompt the user to input again. If the parameter to be detected is detected to be in the target parameter range, the terminal sets the parameter to be detected as the demand parameter of each component on the motor loop.
In this embodiment, the to-be-detected parameter input by the user for the components on the motor loop is obtained, and whether the to-be-detected parameter is set as the requirement parameter of the components on the motor loop is determined by detecting whether the to-be-detected parameter is within the target parameter range, so that the requirement parameter of the components which are not in line with the actual condition of the motor loop is prevented from being input by the user, and the accuracy of component type selection on the motor loop is improved.
In one embodiment, the step S102 generates the selection information options matching with the requirement parameters according to the selection information of the components stored in the selection information base, and specifically includes the following steps: generating a model selection knowledge graph of the model selection information base according to the model selection information of the components stored in the model selection information base; and inputting the demand parameters into the model selection knowledge graph to obtain model selection information options matched with the demand parameters.
The type selection knowledge graph takes components as entities and type selection information of the components as attributes.
Specifically, the type selection information base stores type selection information of a plurality of components, wherein the type selection information comprises information such as model, price, goods period, manufacturer, historical failure rate, cost performance, reliability and the like. The terminal can perform data modeling on the type selection information of the components stored in the type selection information base, convert the type selection information of the components into structured type selection information and generate a type selection knowledge graph of the type selection information base in a visual form. After obtaining the demand parameters, the terminal can input the demand parameters into a type selection knowledge graph, retrieve type selection information matched with the demand parameters through the type selection knowledge graph, and generate corresponding type selection information options according to the matched type selection information.
In the embodiment, the model selection knowledge graph of the model selection information base is generated, and then the model selection information options matched with the demand parameters are automatically inferred and intelligently determined by utilizing the strong knowledge integration function of the model selection knowledge graph, so that the reliability of the model selection information options is improved, and the reliability of the model selection of components on the motor loop is improved.
In one embodiment, the step S102 generates the selection information options matching with the requirement parameters according to the selection information of the components stored in the selection information base, and specifically includes the following steps: training to obtain a component model selection prediction model based on the model selection information of a plurality of components stored in the model selection information base; and inputting the demand parameters into the component model selection prediction model to obtain model selection information options matched with the demand parameters.
The component model selection prediction model is a model for predicting model selection information adapted to component parameters. The component model selection prediction model can be a model obtained through training of a neural network, a random forest and other deep learning algorithms.
Besides the terminal can obtain the type selection information options matched with the demand parameters through the type selection knowledge graph, the terminal can also obtain the type selection information options matched with the demand parameters through algorithms such as a neural network and the like. Specifically, the terminal carries out iterative training on the component model selection prediction model to be trained based on the model selection information and the component parameters of a plurality of components stored in the model selection information base, and obtains the component model selection prediction model. After obtaining the demand parameters, the terminal can input the demand parameters into the component model selection prediction model so as to output model selection information matched with the demand parameters through the component model selection prediction model; and constructing a type selection information option according to all the type selection information output by the component type selection prediction model.
In this embodiment, the model selection prediction model of the component is trained by using the model selection information of the components stored in the model selection information base, so that the trained neural network has model selection capability, and the model selection information options matched with the requirement parameters of the components are output by using the trained neural network, so that the reliability of the model selection information options is improved, and the reliability of the model selection of the components on the motor loop is improved.
In one embodiment, in the step S102, after generating the selection information options matching with the requirement parameters according to the selection information of the components stored in the selection information base, the method further includes: acquiring performance indexes of each candidate component corresponding to the type selection information options; sorting the plurality of candidate components according to the performance index of each candidate component to obtain sorted components corresponding to the plurality of candidate components; and updating the type selection information options according to the ordered components.
Specifically, after obtaining the type selection information option, the terminal may further obtain performance indexes of each candidate component corresponding to the type selection information option, for example, the performance indexes include component performance, price, degree of new and old components, production place, and the like. Calculating performance scores of the candidate components according to performance indexes of the candidate components, for example, calculating the performance scores with the targets of maximizing component performance, minimizing price, being newer and better, and being higher and better in production place reputation; and then sorting the plurality of candidate components according to the performance scores of the candidate components to obtain sorted components. And the terminal updates the option sequence of each candidate component in the option information options according to the sequence of the ordered components. In addition, the terminal can also combine the recommendation algorithm and the performance scores of the candidate components to generate the recommendation type selection scheme information corresponding to the motor loop, so that the user can select the recommendation type selection scheme information by one key. Of course, the user may select the selection information from the selection information instead of selecting the recommended selection scheme information.
In this embodiment, according to the performance index of each candidate component corresponding to the type selection information option, sorting the plurality of candidate components to obtain sorted components corresponding to the plurality of candidate components; and updating the selection information options according to the ordered components and generating recommended selection scheme information of the components on the motor loop, so as to provide more comprehensive and more convenient selection scheme reference for users, thereby further improving the efficiency of component selection on the motor loop.
In one embodiment, in step S104, after obtaining the type selection scheme information corresponding to the motor circuit according to the selected type selection information, the method further includes: responding to the modification operation of the type selection information to obtain modified type selection information; and obtaining updated model selection scheme information corresponding to the motor loop according to the modified model selection information.
Specifically, after the terminal generates the type selection scheme information corresponding to the motor loop according to the type selection information selected by the user, the user can also modify the selected type selection information, for example, try to test whether other type selection information can obtain better type selection scheme information; the terminal responds to the modification operation of the user on the model selection information and acquires modified model selection information corresponding to the modification operation; and the terminal generates new type selection scheme information corresponding to the motor loop according to the new modified type selection information, namely generates updated type selection scheme information.
In this embodiment, the modified type selection information is obtained in response to the modification operation of the type selection information; and according to the modified type selection information, updated type selection scheme information corresponding to the motor loop is obtained, the function of manually modifying the type selection information by a user is realized, and the type selection scheme information is updated accordingly.
In one embodiment, as shown in fig. 3, another method for selecting low-voltage electrical components is provided, and the method is applied to a terminal for illustration, and includes the following steps:
step S301, determining a target voltage of a component on the motor circuit from a voltage of a bus of the motor circuit.
Step S302, determining a target current lower limit of components on the motor circuit based on motor data of the motor circuit and a voltage of the bus.
Step S303, determining a target parameter range of components on the motor loop according to the target current lower limit and the target voltage.
Step S304, obtaining parameters to be detected input to components on a motor loop; wherein the parameters to be detected include a current lower limit and a voltage.
In step S305, it is determined whether the parameter to be detected is within the target parameter range.
In step S306, if the detected parameter is within the target parameter range, the detected parameter is set as the requirement parameter of the component on the motor loop.
Step S307, according to the type selection information of the components stored in the type selection information base, the type selection information options matched with the requirement parameters are generated.
Step S308, the type selection information selected based on the type selection information options is acquired.
Step S309, according to the selected type selection information, obtaining type selection scheme information corresponding to the motor loop; the model selection scheme information includes target model selection information of each component on the motor circuit.
The method for selecting the low-voltage electrical apparatus components has the following beneficial effects: the model selection scheme information of the motor loop can be automatically generated according to the performance parameters of the motor loop and the demand parameters of the components, so that the model selection efficiency of the components on the motor loop is improved, and meanwhile, the model selection accuracy of the components on the motor loop is also improved.
In order to more clearly illustrate the method for selecting the low-voltage electrical apparatus components provided by the embodiment of the present disclosure, a specific embodiment is used to specifically describe the method for selecting the low-voltage electrical apparatus components. The method for selecting the low-voltage electrical apparatus components is applicable to terminals and comprises the following steps:
step 1, according to the related data of the motor loop and 400V (200V) bus data, inquiring the corresponding relation between the data (including the related data of the motor and the 400V bus data) and the lower limit of the current of the components, and obtaining the lower limit of the current of the components such as QS1, Q2, a thermal relay, RCD and the like.
Step 2, acquiring parameter information of the components input by a user on a 400V component query interface; for example, lower current limit, voltage, etc. of the components; of course, when the parameter information input by the user does not accord with the preset range, the user is reminded to input again.
Step 3, creating training data by using the model selection information base, then training a neural network by using the training data, enabling the trained neural network to have model selection capability, and outputting model selection information options matched with components by using the trained neural network; or combining the knowledge graph corresponding to the model selection information base to generate the model selection information options matched with the components.
And 4, generating a whole set of type selection schemes corresponding to the motor loop according to type selection information (such as a type selection, a manufacturer and the like) selected by a user aiming at the type selection information options. Of course, the user can manually modify the selection information, and the corresponding selection scheme is updated accordingly, namely, the selection scheme is automatically updated after the user modifies the selection information.
In this embodiment, the model selection scheme information of the motor loop can be automatically generated according to the performance parameters of the motor loop and the requirement parameters of the components, so that the model selection efficiency of the components on the motor loop is improved, and meanwhile, the model selection accuracy of the components on the motor loop is also improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a low-voltage electrical component type selection device for realizing the above related low-voltage electrical component type selection method. The implementation scheme of the device for solving the problem is similar to that described in the above method, so the specific limitation in the embodiment of the device for selecting a low-voltage electrical component provided below may be referred to the limitation of the method for selecting a low-voltage electrical component hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 4, there is provided a low voltage electrical component-selecting apparatus 400, comprising: a demand acquisition module 401, an option generation module 402, a selection module 403, and a scheme determination module 404, wherein:
the demand acquisition module 401 is configured to acquire demand parameters input for components on the motor circuit.
The option generating module 402 is configured to obtain a type selection information option matching with the requirement parameter according to the type selection information of the multiple components stored in the type selection information base.
The selection module 403 is configured to obtain selection type information selected based on the selection type information option.
A scheme determining module 404, configured to obtain, according to the selected type selection information, type selection scheme information corresponding to the motor loop; the model selection scheme information includes target model selection information of each component on the motor circuit.
In one embodiment, the low voltage electrical component model selection apparatus 400 further includes a range determination module for determining a target voltage for components on the motor loop based on a voltage of a bus of the motor loop; determining a target current lower limit of components on the motor loop according to motor data of the motor loop and the voltage of the bus; and determining a target parameter range of components on the motor loop according to the target current lower limit and the target voltage.
In one embodiment, the requirement acquisition module 401 is further configured to acquire parameters to be detected input to components on the motor circuit; the parameters to be detected comprise a current lower limit and a voltage; judging whether the parameter to be detected is in the range of the target parameter; if the parameter to be detected is detected to be in the target parameter range, the parameter to be detected is set as a demand parameter of components on the motor loop.
In one embodiment, the option generating module 402 is further configured to generate a model selection knowledge graph of the model selection information base according to model selection information of the plurality of components stored in the model selection information base; and inputting the demand parameters into the model selection knowledge graph to obtain model selection information options matched with the demand parameters.
In one embodiment, the low-voltage electrical component type selection device 400 further includes an option update module, configured to obtain performance indexes of each candidate component corresponding to the type selection information option; sorting the plurality of candidate components according to the performance index of each candidate component to obtain sorted components corresponding to the plurality of candidate components; and updating the type selection information options according to the ordered components.
In one embodiment, the low-voltage electrical component type selection device 400 further includes a scheme update module, configured to obtain modified type selection information in response to a modification operation on the type selection information; and obtaining updated model selection scheme information corresponding to the motor loop according to the modified model selection information.
All or part of each module in the low-voltage electrical apparatus component selection device can be realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 5. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing a low-voltage electrical apparatus component type selection method. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 5 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in the various embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the various embodiments provided herein may include at least one of relational databases and non-relational databases. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic units, quantum computing-based data processing logic units, etc., without being limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples only represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the present application. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. A method for selecting a low-voltage electrical component, the method comprising:
acquiring demand parameters input for components on a motor loop;
generating a type selection information option matched with the requirement parameter according to the type selection information of a plurality of components stored in the type selection information base;
acquiring type selection information selected based on the type selection information options;
according to the selected type selection information, type selection scheme information corresponding to the motor loop is obtained; the type selection scheme information comprises target type selection information of each component on the motor loop.
2. The method of claim 1, further comprising, prior to obtaining the demand parameters for component inputs on the motor circuit:
determining a target voltage of components on the motor loop according to the voltage of a bus of the motor loop;
determining a target current lower limit of components on the motor loop according to motor data of the motor loop and the voltage of the bus;
and determining a target parameter range of components on the motor loop according to the target current lower limit and the target voltage.
3. The method of claim 2, wherein the obtaining demand parameters for component inputs on the motor circuit comprises:
acquiring parameters to be detected input for components on the motor loop; wherein the parameters to be detected comprise a current lower limit and a voltage;
judging whether the parameter to be detected is in the target parameter range or not;
and if the parameter to be detected is detected to be in the target parameter range, setting the parameter to be detected as a demand parameter of components on the motor loop.
4. The method according to claim 1, wherein generating the selection information option matching the demand parameter according to the selection information of the plurality of components stored in the selection information base includes:
generating a model selection knowledge graph of the model selection information base according to model selection information of a plurality of components stored in the model selection information base;
and inputting the demand parameters into the model selection knowledge graph to obtain model selection information options matched with the demand parameters.
5. The method according to claim 1, wherein generating the selection information option matching the demand parameter according to the selection information of the plurality of components stored in the selection information base includes:
training to obtain a component model selection prediction model based on the model selection information of a plurality of components stored in the model selection information base;
and inputting the demand parameters into the component model selection prediction model to obtain model selection information options matched with the demand parameters.
6. The method according to claim 1, further comprising, after generating a selection information option matching the demand parameter based on selection information of a plurality of components stored in a selection information base:
acquiring performance indexes of each candidate component corresponding to the type selection information options;
sorting the plurality of candidate components according to the performance index of each candidate component to obtain sorted components corresponding to the plurality of candidate components;
and updating the type selection information options according to the ordered components.
7. The method according to claim 6, further comprising, after obtaining the pattern selection scheme information corresponding to the motor circuit based on the selected pattern selection information:
responding to the modification operation of the type selection information to obtain modified type selection information;
and obtaining updated model selection scheme information corresponding to the motor loop according to the modified model selection information.
8. A low voltage electrical component shape selection device, the device comprising:
the demand acquisition module is used for acquiring demand parameters input for components on the motor loop;
the option generating module is used for obtaining the option of the type selection information matched with the requirement parameter according to the type selection information of the components stored in the type selection information base;
the type selection module is used for acquiring type selection information selected based on the type selection information options;
the scheme determining module is used for obtaining the type selection scheme information corresponding to the motor loop according to the selected type selection information; the type selection scheme information comprises target type selection information of each component on the motor loop.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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| CN202311610712.0A CN117473910A (en) | 2023-11-28 | 2023-11-28 | Method and device for selecting low-voltage electrical apparatus components, computer equipment and storage medium |
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| CN202311610712.0A CN117473910A (en) | 2023-11-28 | 2023-11-28 | Method and device for selecting low-voltage electrical apparatus components, computer equipment and storage medium |
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