CN114154771A

CN114154771A - Product pre-sale support system, method, computer readable storage medium and terminal

Info

Publication number: CN114154771A
Application number: CN202110231852.1A
Authority: CN
Inventors: 朱敏奇; 盛恩东
Original assignee: Damon Technology Group Corp Ltd
Current assignee: Damon Technology Group Corp Ltd
Priority date: 2021-03-02
Filing date: 2021-03-02
Publication date: 2022-03-08

Abstract

The invention provides a product pre-sale support system, a method, a computer readable storage medium and a terminal, wherein the product pre-sale support server and a product pre-sale support client connected with the product pre-sale support server are provided; the product pre-sale support server comprises: the system comprises a machine type management module, an enumerated value maintenance module, a material standard price management module and a face price calculation model management module; the product pre-sale support client comprises: the device comprises an instruction receiving module, a feedback module and an intelligent selection module. The product pre-sale support system, the product pre-sale support method, the computer readable storage medium and the terminal can support a scheme engineer to improve the standardization and normalization degree of a design scheme, reduce the workload of the design engineer in transactional work such as numbering, outputting a list, outputting equipment parameters and the like, improve the design efficiency and reduce errors.

Description

Product pre-sale support system, method, computer readable storage medium and terminal

Technical Field

The invention belongs to the technical field of equipment management, relates to a support system and a method, and particularly relates to a product pre-sale support system, a product pre-sale support method, a computer readable storage medium and a terminal.

Background

With the increase of scientific and technological product lines of enterprises, it is also difficult for pre-sale design engineers to remember information such as detailed parameters of all products. Meanwhile, because product standardization is not completely implemented, the equipment type selection randomness of pre-sale engineers is very large in the pre-sale design process, and non-standard products are very many. The appearance of a large number of non-standard products causes the increase of workload in engineering design, production and manufacturing and field construction processes. Meanwhile, due to the fact that the number of non-standard products is large and the reutilization rate is low, adverse effects can be caused to the process of forming a standardized business system for an enterprise, the workload of engineers in transactional work such as numbering, list output, equipment parameter output and the like is increased, and therefore the work efficiency is low and errors are few.

Therefore, how to provide a product pre-sale support system, method, computer readable storage medium and terminal to solve the problems of the prior art that due to the large quantity of non-standard products and low recycling, the formation of a standardized business system process for an enterprise will cause adverse effects, and the workload of engineers on affairs work such as numbering, outputting lists, outputting device parameters and the like is increased, so that the work efficiency is low, errors are all the more, and the technical problem to be solved by the technical personnel in the field is really urgent.

Disclosure of Invention

In view of the above-mentioned shortcomings of the prior art, an object of the present invention is to provide a product pre-sale support system, method, computer-readable storage medium and terminal, which are used to solve the problems in the prior art that due to the large number of non-standard products and low recycling rate, the formation of a standardized business system process for an enterprise will cause adverse effects, and the workload of engineers in transactional work such as numbering, output lists, output device parameters, etc. is increased, resulting in low work efficiency and hundreds of errors.

To achieve the above and other related objects, according to one aspect of the present invention, there is provided a product pre-sale support system, comprising: the system comprises a product pre-sale support server and a product pre-sale support client connected with the product pre-sale support server; the product pre-sale support server comprises: the machine type management module is used for classifying the machine types of the products and managing machine type classification information of each product; an enumerated value maintenance module for adding enumerated values, classifying the enumerated values and establishing association with corresponding materials; the material standard price management module is used for managing material related attributes and cost to serve as face price calculation basic data; and the face price calculation model management module is used for defining a product face price calculation model according to the classification of the machine types.

In an embodiment of the present invention, the product pre-sale support system further includes a product pre-sale support client connected to the product pre-sale support server; the product pre-sale support client comprises: the instruction receiving module is used for entering a machine type selection interface after receiving a machine type selection instruction through an instruction receiving interface provided by an intelligent selection system; the feedback module is used for feeding back a model guide interface associated with a specific model selection event after the specific model selection event is sensed to occur on the model selection interface; the model guide interface is used for receiving the input of model attribute parameters; and the intelligent selection module is used for generating a model selection optimal scheme matched with the requirements of the user according to the input model attribute parameters after the model selection interface receives the input of the model attribute parameters.

In an embodiment of the present invention, the model management module is configured to establish a parent-child relationship in model classification at a classification directory on the model classification maintenance interface after entering the model classification maintenance interface.

In an embodiment of the present invention, the model management module is further configured to create multiple types of paging data, and load data information corresponding to the multiple types of paging data in different types of paging data; the paging data comprises standard section information, a preferred scheme, model data, attribute item configuration and a length-width constraint relation.

In an embodiment of the present invention, the model management module is configured to, after synchronizing the model classification information, add the standard segment information to the standard segment library according to a standard segment addition rule, and add data information corresponding to the standard segment information according to the added standard segment information; the machine type management module is used for adding optimal schemes corresponding to the machine type classification information one by one according to the machine type classification information after synchronizing the machine type classification information; the machine type management module is used for adding machine type data corresponding to the machine type classification information one by one according to the machine type classification information after synchronizing the machine type classification information; the machine type management module is used for configuring an attribute item of the machine type according to the machine type classification information after the machine type classification information is synchronized; the model management module is used for defining the association relationship between the fields after synchronizing the model classification information.

In an embodiment of the present invention, the face price calculation model management module is configured to associate with the model classification information and define a product face price calculation model for calculating a face price of a single product device; wherein, the price of a single device is the standard section price + the non-standard section price + the price of other parameters; the value of the non-standard segment is the received length, inner radius and/or width-the length, inner radius and/or width of the preferred embodiment.

In an embodiment of the present invention, the value of the standard segment price is a preferred scheme matched with the received length or inner radius and width positioning according to the received length or inner radius and width positioning, and price parameters of material coding query corresponding to the standard segment in the preferred scheme are obtained; the value of the non-standard section price is obtained by matching the value of the non-standard section and the current model classification with the length or the inner radius, the width and the affiliated model classification in the standard material price, and searching for the price which is more than or equal to the minimum value of the length or the inner radius and the width; the prices of other parameters are the prices of materials corresponding to the enumerated values; and if the enumerated value exists but the price of the corresponding material does not exist, the prices of other parameters do not take values.

In an embodiment of the present invention, the specific model selection event includes a standard model selection event and a non-standard model selection event; when the specific model selection event is a selection event of a standard model, the model selection interface comprises a model classification area, a model product pattern display area and a model product data display area; the feedback module is used for feeding back a standard model guide interface associated with a selection event of a standard model after the fact that the selection event of the standard model occurs in the model classification area is sensed; or when the specific model selection event is a non-standard model selection event, the feedback module is used for feeding back a non-standard model guide interface associated with the non-standard model selection event to be sensed in the model classification area.

The invention provides a product pre-sale supporting method, which comprises a product pre-sale supporting method applied to a product pre-sale supporting server; the product pre-sale support method applied to the product pre-sale support server comprises the following steps: classifying the model of the product and managing the model classification information of each product; adding enumeration values, classifying the enumeration values, and establishing association with corresponding materials; managing material related attributes and costs to serve as face price calculation basic data; and defining a product face price calculation model according to the classification of the models.

In an embodiment of the present invention, the product pre-sales support method further includes a product pre-sales support method applied to the product pre-sales support client; the product pre-sale support method applied to the product pre-sale support client comprises the following steps: after receiving a model selection command through a command receiving interface provided by an intelligent selection system, entering a model selection interface; after a specific model selection event is sensed to occur on the model selection interface, feeding back a model guide interface associated with the specific model selection event; the model guide interface is used for receiving the input of model attribute parameters; and after the model selection interface receives the input of the model attribute parameters, generating a model selection optimal scheme matched with the user requirements according to the input model attribute parameters.

Yet another aspect of the invention provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the product pre-sale support method.

A final aspect of the present invention provides a terminal, including: a processor and a memory; the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory so as to enable the terminal to execute the product pre-sale support method applied to the product pre-sale support service terminal or the product pre-sale support method applied to the product pre-sale support client terminal.

As described above, the product pre-sale support system, method, computer readable storage medium and terminal according to the present invention have the following advantages:

the product pre-sale support system, the product pre-sale support method, the computer readable storage medium and the terminal support scheme engineer improve the standardization and normalization degree of the design scheme, reduce the workload of the design engineer in transactional work such as numbering, outputting lists, outputting equipment parameters and the like, improve the design efficiency and reduce errors.

Drawings

FIG. 1 is a schematic diagram of a product pre-sale support system according to an embodiment of the present invention.

FIG. 2 is a diagram illustrating an exemplary model classification maintenance interface according to an embodiment of the present invention.

Fig. 3 is a flowchart illustrating a product pre-sale support method applied to a product pre-sale support server according to an embodiment of the invention.

Fig. 4 is a flowchart illustrating a product pre-sale support method applied to a product pre-sale support client according to an embodiment of the present invention.

Description of the element reference numerals

1 product pre-sale support system

11 product pre-sale support service terminal

12 product pre-sale support client

111 model management module

112 enumeration value maintenance module

113 standard price management module for material

114 face price calculation model management module

121 instruction receiving module

122 feedback module

123 intelligent selection module

124 model modification module

125 model code rearrangement module

126 update module

127 material source analysis module

128 quotation module

129 bill of materials export module

S31-S34

S71-S73

Detailed Description

The embodiments of the present invention are described below with reference to specific embodiments, and other advantages and effects of the present invention will be easily understood by those skilled in the art from the disclosure of the present specification. The invention is capable of other and different embodiments and of being practiced or of being carried out in various ways, and its several details are capable of modification in various respects, all without departing from the spirit and scope of the present invention. It is to be noted that the features in the following embodiments and examples may be combined with each other without conflict.

It should be noted that the drawings provided in the following embodiments are only for illustrating the basic idea of the present invention, and the components related to the present invention are only shown in the drawings rather than drawn according to the number, shape and size of the components in actual implementation, and the type, quantity and proportion of the components in actual implementation may be changed freely, and the layout of the components may be more complicated.

Example one

The present embodiment provides a product pre-sale support system, comprising: the system comprises a product pre-sale support server and a product pre-sale support client connected with the product pre-sale support server;

the product pre-sale support server comprises:

the machine type management module is used for classifying the machine types of the products and managing machine type classification information of each product;

an enumerated value maintenance module for adding enumerated values, classifying the enumerated values and establishing association with corresponding materials;

the material standard price management module is used for managing material related attributes and cost to serve as face price calculation basic data;

and the face price calculation model management module is used for defining a product face price calculation model according to the classification of the machine types.

The product pre-sale support system provided by the present embodiment will be described in detail below with reference to the drawings. Referring to fig. 1, a schematic structural diagram of a product pre-sale support system in one embodiment is shown. As shown in fig. 1, the product pre-sale support system 1 includes a product pre-sale support server 11 and a product pre-sale support client 12 connected to the product pre-sale support server 11.

With reference to fig. 1, the product pre-sale support server 11 includes a model management module 111, an enumerated value maintenance module 112, a material standard price management module 113, and a face price calculation model management module 114.

The model management module 111 is configured to classify models of products and manage model classification information of each product.

Specifically, the model management module 111 is configured to establish a parent-child relationship in model classification at a classification directory on a model classification maintenance interface after entering the model classification maintenance interface. Please refer to fig. 2, which is a diagram illustrating a model classification maintenance interface in an embodiment. As shown in fig. 2, the model classification maintenance interface includes a model classification item and a plurality of pagination data items. The paging data comprises standard section information, a preferred scheme, model data, attribute item configuration and a length-width constraint relation.

The model management module 111 is further configured to create various paging data, and load data information corresponding to the paging data in different paging data.

Specifically, the model management module is configured to add the standard segment information to the standard segment library according to a standard segment addition rule after synchronizing the model classification information, and add data information corresponding to the standard segment information according to the added standard segment information.

In this embodiment, the standard segment information includes a code, a name, a length, a width, and a PLM material code;

wherein, the standard segment adding rule comprises:

for a code, it is not allowed to be empty and unique.

For names, nothing is allowed.

No voids are allowed for length/width, and the length of the same width must be unique.

For PLM material coding, the allowance is null.

The model management module 111 is configured to add a preferred scheme corresponding to the model classification information one to one according to the model classification information after synchronizing the model classification information. In this embodiment, the preferred scheme is a length scheme combined by the system maintenance personnel according to the standard segment information, and the content of the preferred scheme is shown in table 1.

Table 1: detailed description of the preferred embodiments

Serial number	Data name	Description of the invention	Remarks for note
				1	Plan numbering	Automatically generated, each time adding 1
2	Name of scheme	Administrator fills in, modifies
				3	Length of	The accumulated value of standard segment, if there is non-standard segment, the length is 0
4	Minimum value	Administrator fills in, modifies
				5	Maximum value	Administrator fills in, modifies
6	Width of	Manual input for filtering standard sections
				7	Direction	Manual input for filtering standard sections
8	Power of	Manual input for filtering standard sections
				9	Speed of rotation	Manual input for filtering standard sections
10	Spacing of cylinders	Manual input for filtering standard sections
				11	Brand	Enumerated values for filtering standard segments
12	Preferred embodiments	Displaying selected standard segment content

The model management module 111 is configured to add model data corresponding to the model classification information one to one according to the model classification information after synchronizing the model classification information. The model data comprises serial numbers, model data names, file types, pictures and specifications.

The model management module 111 is configured to configure an attribute item of the model according to the model classification information after synchronizing the model classification information. The attribute items of the model comprise attribute names (attributes defined by a source PLM system, synchronous model classification information, which are synchronized together), data types of the driving model (decimal can be used as parameters of the driving model), preferred search conditions (parameter filtering is carried out under the defined conditions when a model is selected and a preferred scheme is searched), data types of the model attributes, enumerated values (corresponding enumerated values), output columns (fixed content, corresponding relation of the defined attribute output columns), data types defining the attributes, input descriptions for defining the attributes and other data information.

The model management module 111 is configured to define an association relationship between fields after synchronizing model classification information.

In this embodiment, the model management module 111 provides functions of adding, deleting, and modifying for the management of model classifications and model classification information of each product.

The enumerated value maintenance module 112 is configured to add an enumerated value, classify the enumerated value, and establish association with a corresponding material. The enumerated values are used in maintaining model attributes. Enumerated values include name, encoding, PLM encoding (associated standard cost data), default, remark. The enumerated value needs to be associated with the cost material.

In this embodiment, the enumerated value maintenance module 112 provides functions of adding, deleting and modifying for maintenance of enumerated values.

The material standard price management module 113 is used for managing material related attributes and costs to serve as face price calculation basic data. The material related attributes comprise data information such as serial numbers, material codes, material names, material specifications, material standard prices, lengths or inner radii corresponding to the materials, widths corresponding to the materials, lengths of conveyed objects corresponding to the materials, widths of conveyed objects corresponding to the materials, heights of high positions corresponding to the materials, types of the materials and the like.

In this embodiment, the material standard price management module 113 provides functions of adding, deleting, and modifying for management of material-related attributes and costs.

The face price calculation model management module 114 is used for defining a product face price calculation model according to the classification of the machine types.

Specifically, the face price calculation model management module 114 is configured to associate with the model classification information, and define a product face price calculation model for calculating a face price of a single product device;

wherein, the price of a single device is the standard section price + the non-standard section price + the price of other parameters;

the value of the non-standard segment is the received length, inner radius and/or width-the length, inner radius and/or width of the preferred embodiment.

The value of the standard section price is a preferred scheme matched with the received length or inner radius and width positioning according to the received length or inner radius and width positioning, and price parameters inquired according to the material code corresponding to the standard section in the preferred scheme;

the value of the non-standard section price is obtained by matching the value of the non-standard section and the current model classification with the length or the inner radius, the width and the affiliated model classification in the standard material price, and searching for the price which is more than or equal to the minimum value of the length or the inner radius and the width;

the prices of other parameters are the prices of materials corresponding to the enumerated values; and if the enumerated value exists but the price of the corresponding material does not exist, the prices of other parameters do not take values.

For example, standard section, XXX material, without a corresponding cost;

non-standard sections of the XXX preferred scheme cannot take corresponding values;

the corresponding classification has no optimal scheme and cannot take values;

the corresponding classification can not take values, the length and the width exceed the range, and the whole machine is a non-standard part.

With continued reference to fig. 1, the product before-sale support client 12 includes an instruction receiving module 121, a feedback module 122, an intelligent selection module 123, a model modification module 124, a model code rearrangement module 125, an update module 126, a material source analysis module 127, a quotation module 128, and a bill of materials derivation module 129.

In this embodiment, the intelligent selection system of the model needs to be started through an authorized registration code, so that the product before-sale support client 12 can be operated.

The instruction receiving module 121 is configured to receive a model selection instruction through an instruction receiving interface (or called system menu bar) provided by the smart selection system, and then enter the model selection interface.

The feedback module 122 is configured to feed back a model wizard interface associated with a specific model selection event after the specific model selection event is sensed to occur on the model selection interface; the model guide interface is used for receiving the input of model attribute parameters;

in this embodiment, the specific model selection event includes a selection event of a standard model and a selection event of a non-standard model.

In practical application, the standard model is a product which is flagged by a user to which the intelligent selection system belongs; the non-standard model is a product which is flagged by a user to which the non-intelligent selection system belongs.

And when the specific model selection event is a selection event of a standard model, the model selection interface comprises a model classification area, a model product pattern display area and a model product data display area.

In this embodiment, the model classification area includes a standard model classification, a non-standard model and a model code.

For example, the standard machine type classifications include unpowered conveyors, belt conveyors (e.g., narrow belt converging machines, pallet type intermediate drive conveyors, pallet roller type intermediate drive conveyors, …, ramp pallet roller type intermediate drive conveyors), belt driven roller machines, chain machines, transplanting machines, rotary tables, …, express/airport conveyors, special equipment, general parts, and the like. The non-label machine type comprises a non-label device.

And the model product pattern display area is used for displaying a basic pattern example of a model corresponding to the specific model selection event.

The model product data display area is used for displaying typical pattern data, model selection reference data and other required various data of the model corresponding to the specific model selection event.

Specifically, the feedback module 122 is configured to feed back a standard model wizard interface associated with a selection event of a standard model after the occurrence of the selection event of the standard model in the model classification area is sensed.

The standard model guide interface comprises an attribute name for selecting a standard model, a data type of the attribute name, a model code default value, a remark description of the attribute name and an input program.

And the attribute name is a related attribute name for determining model selection of the model. After the attribute names are filled in, the unique model can be determined by matching with relevant files (an application guide, a model selection guide and the like) of the model. The attribute names include width, length, inlet height, motor brand, speed, drive direction, motor voltage, power, whether to brake, whether to frequency convert, whether to unidirectional, bear, leg type, guardrail type, belt type, surface treatment, remark, zone and segment number.

The data types of the attribute names are different status representations of the attribute values. String type indicates that any value can be entered; the enumeration type representation can only be selected from defined enumeration types and cannot be input; the decimal type represents that a non-integer number can be input.

And the default value of the model number is a value corresponding to the attribute, and an enumeration item is input or selected. In the model guide interface, values corresponding to different models have partial default values for reducing input workload according to company product types, and can be changed according to actual requirements. And (4) prompting: the model number is by default.

Note description of attribute name is note description of attribute value for guiding or standardizing input

The input program is a plug-in EXE executable file, auxiliary type selection or calculation is carried out, the name of the program is clicked, and the EXE file is executed.

Specifically, when the specific model selection event is a non-standard model selection event, the feedback module 122 is configured to feed back a non-standard model wizard interface associated with the non-standard model selection event to be sensed that the non-standard model selection event occurs in the model classification area.

In this embodiment, the occurrence of the non-standard model selection event in the model classification area is to select a non-standard device in the model classification area.

The standard model wizard interface associated with the selection event of the non-standard model is identical to the standard model wizard interface associated with the selection event of the standard model, except that the attribute parameter values in the standard model wizard interface associated with the selection event of the non-standard model are filled in by the planner as required.

The intelligent selection module 123 is configured to generate a model selection optimal scheme matching with user requirements according to the input model attribute parameters after the model selection interface receives the input of the model attribute parameters.

Specifically, the intelligent selection module 123 enters a preferred parameter matching interface when the model attribute parameters are matched with the preferred solutions, selects the preferred solutions on the preferred parameter matching interface, generates model diagrams corresponding to the preferred solutions,

or the intelligent selection module 123 is further configured to provide a standard scheme closest to the preferred scheme and generate a model map corresponding to the standard scheme when the model attribute parameter does not match the preferred scheme. In this embodiment, whether the model attribute parameter matches the preferred solution is determined by whether the input model attribute parameter matches the interval value in the attribute item configuration.

In this embodiment, the standard protocol that is closest to the preferred protocol is provided on an alternative interface for selection by the user.

This preference prompt occurs, for example, when other attribute parameters besides length satisfy the preference scheme.

For example, when the model is selected with reference to the model, the length attribute parameter is 1510, the upper and lower standard lengths meeting other parameters in the definition of the preferred scheme are 1500/1650, the system will automatically prompt, and the model planner can confirm whether to select according to the standard parameters.

If a standard length series is selected, selecting in a frame before the selected scheme as shown in the following figure, rewriting the point determined into the model parameters according to the new length parameters, and generating a model diagram according to the new length in the CAD layout diagram;

if the standard length is not selected, the point "cancel" will generate the model map in the CAD layout map according to the input length parameters.

The model modification module 124 is configured to receive a model modification instruction through an instruction receiving interface, and provide a modification function on the standard model wizard interface.

For example, a model to be modified is selected in the CAD layout, and an 1.02.04 pallet type middle drive belt conveyor which is generated is modified as an example).

The model code rearrangement module 125 is configured to receive a rearrangement instruction through an instruction receiving interface, and rearrange the model code after the model diagram is generated by the intelligent selection module.

In this embodiment, the model graph is renumbered by triggering a renumbering number in the menu column in the wisdom election system.

The update module 126 is configured to receive an update instruction through an instruction receiving interface, and record the generated device attribute of the model matched with the preferred scheme in the project information. The intelligent selection system needs to ensure that the project information is consistent with the information in the CAD layout drawing through the operation of 'updating to the project library'.

The material source analysis module 127 is configured to receive an instruction through the instruction receiving interface, and analyze a material source corresponding to each model. In this embodiment, the material source analysis module 127 needs to automatically generate a physical source.

The material source has 4 contents as follows:

preferably: the selected model attribute accords with the definition of the system preferred scheme and is the selected model with the highest standardization degree.

Preferably, the non-standard: the selected model attribute does not completely conform to the definition of the system preferred scheme, but belongs to the design range of standard model variation within the selectable range specified by the preferred scheme.

Non-standard: the selected model attribute completely accords with the definition of the system preferred scheme, and belongs to the non-standard design range.

Blank: the corresponding model attribute is the model generated by the functions of copying the model or copying and pasting in CAD, and the material source can be automatically modified into the three types after the model is modified again by the modifying model.

The quotation module 128 is used for receiving quotation instructions through the instruction receiving interface and performing quotation on each model.

The bill of materials export module 129 is configured to receive a bill of materials export instruction through the instruction receiving interface, and export the device lists and the secondary lists of all the models. In this embodiment, by triggering the export bill of materials, "selecting the output directory and naming the file name, the device list will output the named file in the designated directory.

Specifically, the equipment list of the model is an attribute list of all project models. The secondary list is a standard module which is defined in the preferred scheme and forms a standard model, and can be used as the basis for model design and production.

The secondary list includes:

level number: the module serial number of the model is formed, 3.2 represents the 2 nd module of the 3 rd equipment in the equipment list, the number of the modules is 1, and the layer numbers are sequentially arranged when a plurality of same templates exist.

Equipment number: consistent with the device numbers in the device list.

Material coding: and when the material code of the standard module in the PLM system is F in the first position, the material code is represented that the module does not apply for the material code in the PLM, and the material code needs to be redesigned by technicians and fed back to data maintainers of the intelligent selection system for regular maintenance.

Name: name of standard module in PLM system.

The figure number: drawing number of standard module in PLM system.

Specification, length, width: and the attribute value of the standard module in the PLM system is used for reference and verification of a secondary list user.

The product pre-sale support client can accurately select the model according to the user requirements, and provides more professional help for the aspects of single-machine product sale, system planning, technical query and the like.

It should be noted that the division of the modules of the above system is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And the modules can be realized in a form that all software is called by the processing element, or in a form that all the modules are realized in a form that all the modules are called by the processing element, or in a form that part of the modules are called by the hardware. For example: the x module can be a separately established processing element, and can also be integrated in a certain chip of the system. In addition, the x-module may be stored in the memory of the system in the form of program codes, and may be called by one of the processing elements of the system to execute the functions of the x-module. Other modules are implemented similarly. All or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software. These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), one or more microprocessors (DSPs), one or more Field Programmable Gate Arrays (FPGAs), and the like. When a module is implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. These modules may be integrated together and implemented in the form of a System-on-a-chip (SOC). And (4) hardware architecture.

The product pre-sale support system provided by the embodiment supports a scheme engineer to improve the standardization and normalization degree of a design scheme, reduces the workload of the design engineer in transactional work such as numbering, outputting lists, outputting equipment parameters and the like, improves the design efficiency and reduces errors.

Example two

The embodiment provides a product pre-sales support method, which includes a product pre-sales support method applied to a product pre-sales support server and/or a product pre-sales support method applied to a product pre-sales support client;

the product pre-sale support method applied to the product pre-sale support server comprises the following steps:

classifying the model of the product and managing the model classification information of each product;

adding enumeration values, classifying the enumeration values, and establishing association with corresponding materials;

managing material related attributes and costs to serve as face price calculation basic data;

and defining a product face price calculation model according to the classification of the models.

The product pre-sale support method provided by the present embodiment will be described in detail below with reference to the drawings. Referring to fig. 3 and fig. 4, a flowchart of an embodiment of a product pre-sales support method applied to a product pre-sales support server and a product pre-sales support method applied to a product pre-sales support client is shown, respectively.

As shown in fig. 3, the product pre-sale support method applied to the product pre-sale support server specifically includes the following steps:

and S31, classifying the model of the product and managing the model classification information of each product.

Specifically, after the model classification maintenance interface is entered in the S31, a parent-child relationship in the model classification is established at the classification catalog on the model classification maintenance interface. The model classification maintenance interface comprises model classification items and various paging data items. The paging data comprises standard section information, a preferred scheme, model data, attribute item configuration and a length-width constraint relation.

The S31 further includes creating various paging data and loading data information corresponding to the paging data in different paging data.

Specifically, after model classification information is synchronized, standard segment information is added to a standard segment library according to a standard segment adding rule, and data information corresponding to the standard segment information is added according to the added standard segment information.

And after the model classification information is synchronized, adding an optimal scheme corresponding to the model classification information one by one according to the model classification information. In this embodiment, the preferred scheme is a length scheme combined by the system maintainer based on standard segment information,

after the model classification information is synchronized, model data corresponding to the model classification information one by one is added according to the model classification information. The model data comprises serial numbers, model data names, file types, pictures and specifications.

And after the model classification information is synchronized, configuring the attribute items of the model according to the model classification information. The attribute items of the model comprise attribute names (attributes defined by a source PLM system, synchronous model classification information, which are synchronized together), data types of the driving model (decimal can be used as parameters of the driving model), preferred search conditions (parameter filtering is carried out under the defined conditions when a model is selected and a preferred scheme is searched), data types of the model attributes, enumerated values (corresponding enumerated values), output columns (fixed content, corresponding relation of the defined attribute output columns), data types defining the attributes, input descriptions for defining the attributes and other data information.

After the model classification information is synchronized, the association relationship between the fields is defined.

And S32, adding enumeration values, classifying the enumeration values, and establishing association with corresponding materials. The enumerated values are used in maintaining model attributes. Enumerated values include name, encoding, PLM encoding (associated standard cost data), default, remark. The enumerated value needs to be associated with the cost material.

And S33, managing the related attributes and the cost of the materials to be used as face price calculation basic data. In this embodiment, the material-related attributes include data information such as a serial number, a material code, a material name, a material specification, a material standard price, a length or an inner radius corresponding to the material, a width corresponding to the material, a length of a transported object corresponding to the material, a width of a transported object corresponding to the material, a height of a high level corresponding to the material, and a type classification to which the material belongs.

And S34, defining a product face price calculation model according to the classification of the models.

Specifically, the step S34 includes defining a product face price calculation model for calculating the face price of the individual product device in association with the model classification information. Wherein, the price of a single device is the standard section price + the non-standard section price + the price of other parameters;

As shown in fig. 4, the product pre-sale support method applied to the product pre-sale support client specifically includes the following steps:

and S41, receiving the model selection instruction through an instruction receiving interface (or system menu bar) provided by the intelligent selection system, and entering the model selection interface.

S42, after a specific model selection event is sensed to occur on the model selection interface, feeding back a model guide interface associated with the specific model selection event; the model guide interface is used for receiving the input of model attribute parameters.

The model selection interface comprises a model classification area, a model product pattern display area and a model product data display area.

Specifically, the step S42 includes feeding back a standard model wizard interface associated with a selection event of a standard model after the occurrence of the selection event of the standard model in the model classification area is sensed.

Specifically, the step S42 includes feeding back a non-standard model wizard interface associated with the selection event of the non-standard model when the specific model selection event is a selection event of the non-standard model and the selection event of the non-standard model is to be sensed to occur in the model classification area.

And S43, after the model selection interface receives the input of the model attribute parameters, generating a model selection optimal scheme matched with the user requirements according to the input model attribute parameters.

Specifically, the step S43 includes entering a preferred parameter matching interface when the model attribute parameter matches the preferred solution, and selecting a preferred solution on the preferred parameter matching interface to generate a model map corresponding to the preferred solution. Or when the model attribute parameters are not matched with the preferred scheme, providing a standard scheme nearest to the preferred scheme and generating a model diagram corresponding to the standard scheme.

In this embodiment, the method for intelligently selecting a model further includes: providing a modification function on the standard model guide interface; after the intelligent selection module generates the model graph, rearranging the model code; recording the generated equipment attribute of the model matched with the preferred scheme in project information; analyzing the material source corresponding to each model; quoting each model; and/or exporting the equipment list and the secondary list of all the models.

The present embodiments also provide a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the product pre-sale support method.

One of ordinary skill in the art will appreciate that the computer-readable storage medium is: all or part of the steps for implementing the above method embodiments may be performed by hardware associated with a computer program. The aforementioned computer program may be stored in a computer readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.

EXAMPLE III

The present embodiment provides a terminal, including: a processor, memory, transceiver, communication interface, or/and system bus; the memory is used for storing the computer program, the communication interface is used for communicating with other devices, and the processor and the transceiver are used for operating the computer program, so that the terminal executes each step of the product pre-sale support method applied to the product pre-sale support service terminal or the product pre-sale support method applied to the product pre-sale support client terminal. And when the terminal executes the product before-sale support method applied to the product before-sale support server, the terminal is the server. And when the Chinese terminal executes the product pre-sale support method applied to the product pre-sale support client, the terminal is the client.

The above-mentioned system bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM), and may further include a non-volatile Memory (non-volatile Memory), such as at least one disk Memory.

The Processor may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, or discrete hardware components.

The protection scope of the product support method before sale is not limited to the execution sequence of the steps listed in the embodiment, and all the solutions implemented by adding, subtracting and replacing the steps in the prior art according to the principle of the present invention are included in the protection scope of the present invention.

The present invention also provides a product pre-sale support system, which can implement the product pre-sale support method of the present invention, but the implementation device of the product pre-sale support method of the present invention includes, but is not limited to, the structure of the product pre-sale support system recited in the present embodiment, and all the structural modifications and substitutions of the prior art made according to the principle of the present invention are included in the protection scope of the present invention.

In summary, the product pre-sales support system, the product pre-sales support method, the computer-readable storage medium, and the terminal support scheme engineer according to the present invention improve the standardization and normalization degree of the design scheme, reduce the workload of the design engineer in transactional work such as numbering, outputting a list, outputting device parameters, and the like, improve the design efficiency, and reduce errors. The invention effectively overcomes various defects in the prior art and has high industrial utilization value.

The foregoing embodiments are merely illustrative of the principles and utilities of the present invention and are not intended to limit the invention. Any person skilled in the art can modify or change the above-mentioned embodiments without departing from the spirit and scope of the present invention. Accordingly, it is intended that all equivalent modifications or changes which can be made by those skilled in the art without departing from the spirit and technical spirit of the present invention be covered by the claims of the present invention.

Claims

1. A product pre-sale support system, comprising: the product supports a server before sale;

the product pre-sale support server comprises:

2. The product pre-sale support system of claim 1, further comprising a product pre-sale support client connected to the product pre-sale support server;

the product pre-sale support client comprises:

the instruction receiving module is used for entering a machine type selection interface after receiving a machine type selection instruction through an instruction receiving interface provided by an intelligent selection system;

the feedback module is used for feeding back a model guide interface associated with a specific model selection event after the specific model selection event is sensed to occur on the model selection interface; the model guide interface is used for receiving the input of model attribute parameters;

and the intelligent selection module is used for generating a model selection optimal scheme matched with the requirements of the user according to the input model attribute parameters after the model selection interface receives the input of the model attribute parameters.

3. The product before-sale support system of claim 1, wherein the model management module is configured to establish a parent-child relationship in model classification at a classification catalog on the model classification maintenance interface after entering the model classification maintenance interface.

4. The product pre-sales support system of claim 3, wherein the model management module is further configured to create a plurality of paging data, and load data information corresponding to the paging data in different paging data;

the paging data comprises standard section information, a preferred scheme, model data, attribute item configuration and a length-width constraint relation.

5. The product pre-sale support system of claim 4,

the model management module is used for adding the standard section information into the standard section library according to the standard section adding rule after synchronizing the model classification information, and adding data information corresponding to the standard section information according to the added standard section information;

the machine type management module is used for adding optimal schemes corresponding to the machine type classification information one by one according to the machine type classification information after synchronizing the machine type classification information;

the machine type management module is used for adding machine type data corresponding to the machine type classification information one by one according to the machine type classification information after synchronizing the machine type classification information;

the machine type management module is used for configuring an attribute item of the machine type according to the machine type classification information after the machine type classification information is synchronized;

the model management module is used for defining the association relationship between the fields after synchronizing the model classification information.

6. The product before-sale support system of claim 4, wherein the face price calculation model management module is configured to associate with the model classification information and define a product face price calculation model for calculating a face price of a single product device;

7. The product pre-sale support system of claim 6,

8. The product pre-sale support system of claim 2,

the specific model selection event comprises a standard model selection event and a non-standard model selection event;

when the specific model selection event is a selection event of a standard model, the model selection interface comprises a model classification area, a model product pattern display area and a model product data display area; the feedback module is used for feeding back a standard model guide interface associated with a selection event of a standard model after the fact that the selection event of the standard model occurs in the model classification area is sensed; or

And when the specific model selection event is a non-standard model selection event, the feedback module is used for feeding back a non-standard model guide interface associated with the non-standard model selection event to be sensed as the non-standard model selection event occurring in the model classification area.

9. A product pre-sale support method is characterized by comprising a product pre-sale support method applied to a product pre-sale support server;

10. The product pre-sale support system of claim 9,

the product pre-sale support method also comprises a product pre-sale support method applied to the product pre-sale support client;

the product pre-sale support method applied to the product pre-sale support client comprises the following steps:

after receiving a model selection command through a command receiving interface provided by an intelligent selection system, entering a model selection interface;

after a specific model selection event is sensed to occur on the model selection interface, feeding back a model guide interface associated with the specific model selection event; the model guide interface is used for receiving the input of model attribute parameters;

and after the model selection interface receives the input of the model attribute parameters, generating a model selection optimal scheme matched with the user requirements according to the input model attribute parameters.

11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method for pre-sale support of a product according to any one of claims 8 to 9.

12. A terminal, comprising: a processor and a memory;

the memory is used for storing computer programs, and the processor is used for executing the computer programs stored by the memory to enable the terminal to execute the product pre-sale support method applied to the product pre-sale support service terminal in claim 8 or the terminal to execute the product pre-sale support method applied to the product pre-sale support client in claim 9.