WO2022068183A1 - 配置生成方法、装置、电子设备及存储介质 - Google Patents

配置生成方法、装置、电子设备及存储介质 Download PDF

Info

Publication number
WO2022068183A1
WO2022068183A1 PCT/CN2021/088928 CN2021088928W WO2022068183A1 WO 2022068183 A1 WO2022068183 A1 WO 2022068183A1 CN 2021088928 W CN2021088928 W CN 2021088928W WO 2022068183 A1 WO2022068183 A1 WO 2022068183A1
Authority
WO
WIPO (PCT)
Prior art keywords
target product
configuration
target
business
configuration list
Prior art date
Application number
PCT/CN2021/088928
Other languages
English (en)
French (fr)
Inventor
黄培雄
Original Assignee
深圳市商汤科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 深圳市商汤科技有限公司 filed Critical 深圳市商汤科技有限公司
Priority to JP2022524625A priority Critical patent/JP2022553988A/ja
Priority to KR1020227013792A priority patent/KR20220070483A/ko
Publication of WO2022068183A1 publication Critical patent/WO2022068183A1/zh
Priority to US17/726,820 priority patent/US20220245695A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315—Needs-based resource requirements planning or analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0621—Item configuration or customization
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management

Definitions

  • the present disclosure relates to the field of computers, and in particular, to a configuration generation method, apparatus, electronic device, and storage medium.
  • Artificial intelligence is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new kind of intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, language recognition, image recognition, Natural language processing and expert systems, etc.
  • the embodiments of the present disclosure disclose a configuration generation method, device, electronic device, and storage medium, which can solve the problem of software and hardware configuration that needs to be satisfied when an artificial intelligence product is applied to different business scenarios, and has convenient operation and short usage time.
  • an embodiment of the present disclosure provides a configuration generation method, the method includes: receiving first service information; the first service information includes first information for describing a first service scenario and at least one service function,
  • the first business scenario is a scenario in which the at least one business function is applied;
  • a target product configuration list is generated based on the first business information and target product performance indicators; the target product performance indicators are included in the first business scenario
  • the performance index of the target product that realizes the at least one business function, and the target product configuration list includes at least one of the quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product.
  • the execution body of the embodiment of the present disclosure is a configuration generating apparatus, such as a terminal device such as a mobile phone, a tablet computer, a notebook computer, a desktop computer, etc.; it may also be a server (eg, a cloud server).
  • the first business scenario may be an artificial intelligence application scenario, such as monitoring illegal parking, garbage dumping, fighting events and other application scenarios.
  • the target product may be an artificial intelligence product, such as a product with a garbage detection function, a product with a crowd density detection function, and the like.
  • the information used to describe the first business scenario may be understood as scenario input information.
  • the first business scenario is an urban management scenario
  • the first business information includes: the number of people, the function of detecting fights, and the number of cameras; wherein, the function of detecting fights is a business function, and the number of people and the number of cameras are used to describe the first business scenario. information (that is, the scene input information).
  • the first service scenario is a crowd detection scenario
  • the first service information includes: a crowd detection function, 2 locations, and 4 cameras; wherein, the crowd detection function is a business function, and the 2 locations and 4 cameras are used for Information for describing the first business scenario (ie, scenario input information).
  • the user only needs to input the first business scenario (corresponding to the scenario input information) to obtain the number of target products required to process the first business in the first business scenario, and/or the target product software and/or hardware configuration.
  • the user does not need to know the software and hardware configuration requirements of the product for services in different application scenarios.
  • the target product configuration list is generated based on the product performance index and the first business information input by the user; the problem of software and hardware configuration that needs to be satisfied by artificial intelligence products applied to different business scenarios can be solved, and the operation is convenient and time-consuming.
  • the generating the target product configuration list based on the first business information and the target product performance index includes: acquiring a target product configuration list conversion formula, where the target product configuration list conversion formula is used to determine at least one of the quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product required to realize the at least one business function in the first business scenario;
  • the business information and the target product performance index determine the parameters in the target product configuration list conversion formula, determine the target product configuration list conversion formula, and obtain a calculation result; convert the target product configuration list according to the calculation result and the target product configuration list
  • the target product associated with the formula generates the target product configuration list.
  • the first business information and the product performance index are used as parameters of the target product configuration list conversion formula, so that the required quantity of target products and the hardware and software configuration of the target products can be accurately determined.
  • the parameters in the target product configuration list conversion formula are determined based on the first business information and the target product performance index, and the target product configuration list conversion formula is determined to obtain
  • the calculation result includes: converting the parameters corresponding to the first business information and the target product performance index in the target product configuration list conversion formula into numbers to obtain a configuration list generation formula; determining the configuration list generation formula to obtain the calculation result.
  • some parameters corresponding to the first business information and the product performance index in the target product configuration list conversion formula are converted into numbers through dynamic compilation to obtain a configuration list generation formula. That is to say, the parameters in the conversion formula of the target product configuration list are replaced by numbers through the dynamic compilation technology, and the configuration list generation formula is obtained.
  • the method before receiving the first business information, further includes: in response to an input instruction for selecting the first business scenario from multiple business scenarios, displaying a first product input page ;
  • Each business scenario in the plurality of business scenarios corresponds to a product input page, and the product input pages corresponding to different business scenarios in the plurality of business scenarios are different;
  • the receiving the first business information includes: receiving in the The first business information entered in the first product input page.
  • the first product input page may be understood as a scenario-based input page specially configured for the first business scenario. That is to say, the first product input page is specially configured to realize the scenario-based configuration of customer requirements, so that the user can easily input scenario-based information (eg, information describing the first business scenario).
  • scenario-based information eg, information describing the first business scenario.
  • the user's knowledge of artificial intelligence products is limited to what problems the products can help solve, and cannot easily know the software and hardware configuration requirements of the products for the business in different application scenarios.
  • the user can conveniently input the information describing the first application scenario through the first product input page, and does not need to know the software and hardware configuration requirements of the product for the business in different application scenarios, which can reduce the requirements for the user , to improve the user experience.
  • the scenario-based configuration of the user's requirements can be realized, and the user experience can be improved.
  • the first service information includes a plurality of target service information, and each target service information in the plurality of target service information includes target information for describing a target service scenario and at least one target service function , the target business scenario is a scenario in which the at least one target business function is applied;
  • the target product configuration list includes multiple sub-target product configuration lists, and each sub-target product configuration list in the multiple sub-target product configuration lists includes at least one At least one of the number of sub-target products, the software configuration of the at least one sub-target product, the hardware configuration of the at least one sub-target product, and the at least one sub-target product are included in the target product.
  • the target product includes the sub-target product.
  • the configuration generation device generates multiple sub-target product configuration lists by using multiple target business information, which can improve the efficiency of generating product configuration lists.
  • the target product performance index includes a plurality of sub-target product performance indicators
  • the sub-target product performance index includes: a sub-target product that realizes the at least one target business function under the target business scenario
  • the method further includes: generating the sub-target product configuration list based on the target business information and the sub-target product performance indicators.
  • the configuration generating apparatus may independently generate the sub-target product configuration list based on the target business information and the sub-target product performance index.
  • the method further includes: configuring the first product input page and/or the target product performance index.
  • the method further includes: obtaining the target product configuration list conversion formula; in the case that the target product configuration list conversion formula passes the validity check, saving the target product configuration list conversion formula, and associate the target product configuration list conversion formula with the target product.
  • saving the target product configuration list conversion formula that has passed the legality check, and associating the target product configuration list conversion formula with the target product can ensure the correctness of the target product configuration list conversion formula and ensure that the target product configuration list conversion formula is passed.
  • the target product configuration list conversion formula can obtain the product configuration list.
  • the method further includes: updating the first product input page and/or the target product performance index.
  • scenario elements ie, parameters describing the business scenario
  • different business scenarios correspond to different product input pages.
  • scenario elements ie, parameters describing the business scenario
  • the first product input page is displayed, so that the user can conveniently express his real business needs by entering the first business information.
  • an embodiment of the present disclosure provides an apparatus for generating a configuration, including: an input unit configured to receive first service information; the first service information includes a first service scenario and at least one service function for describing a first service scenario. 1 information, the first business scenario is a scenario where the at least one business function is applied; the processing unit is configured to generate a target product configuration list based on the first business information and target product performance indicators; the target product performance indicators Including the performance index of the target product that realizes the at least one business function in the first business scenario, and the target product configuration list includes the quantity of the target product, the software configuration of the target product, and the configuration of the target product. At least one of the hardware configuration.
  • the processing unit is specifically configured to obtain a target product configuration list conversion formula, where the target product configuration list conversion formula is used to determine to implement the at least one business function in the first business scenario at least one of the required quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product; determining the target based on the first business information and the target product performance index parameters in the product configuration list conversion formula, determine the target product configuration list conversion formula, and obtain a calculation result; generate the target product according to the calculation result and the target product associated with the target product configuration list conversion formula configuration list.
  • the processing unit is specifically configured to convert the parameters corresponding to the first business information and the target product performance index in the target product configuration list conversion formula into numbers to obtain a configuration list generated formula; determine the configuration list generation formula, and obtain the calculation result.
  • the configuration generating apparatus further includes: an output unit configured to display a first product input page in response to an input instruction for selecting the first business scenario from a plurality of business scenarios; Each business scenario in the plurality of business scenarios corresponds to a product input page, and the product input pages corresponding to different business scenarios in the plurality of business scenarios are different; the input unit is specifically configured to receive the The first business information entered in the first product input page.
  • the first service information includes a plurality of target service information, and each target service information in the plurality of target service information includes target information for describing a target service scenario and at least one target service function , the target business scenario is a scenario in which the at least one target business function is applied;
  • the target product configuration list includes multiple sub-target product configuration lists, and each sub-target product configuration list in the multiple sub-target product configuration lists includes: at least At least one of the quantity of one sub-target product, the software configuration of the at least one sub-target product, and the hardware configuration of the at least one sub-target product, the at least one sub-target product is included in the target product.
  • the target product performance index includes a plurality of sub-target product performance indicators
  • the sub-target product performance index includes: a sub-target product that realizes the at least one target business function under the target business scenario
  • the method further includes: generating the sub-target product configuration list based on the target business information and the sub-target product performance indicators.
  • the processing unit is further configured to configure the first product input page and/or the target product performance index.
  • the processing unit is further configured to obtain the target product configuration list conversion formula; in the case that the target product configuration list conversion formula passes the validity check, save the target product configuration
  • the list conversion formula is configured, and the target product is configured with the list conversion formula and the target product.
  • embodiments of the present disclosure provide an electronic device, the electronic device comprising: a processor and a memory, wherein the memory is used to store instructions, and the processor is used to execute the instructions stored in the memory, so that all The processor executes the method according to the above-mentioned first aspect and any possible implementation manner.
  • an embodiment of the present disclosure provides a chip including a communication interface and a processor, wherein the processor is configured to execute the method in the first aspect or any possible implementation manner of the first aspect.
  • an embodiment of the present disclosure provides a computer-readable storage medium, where a computer program is stored in the computer storage medium, and the computer program includes program instructions that, when executed by a processor, cause the processor to execute the above-mentioned first step.
  • embodiments of the present disclosure provide a computer program product, the computer program product including program instructions, the program instructions, when executed by a processor, cause the processor to perform the above-mentioned first aspect and any one in some Methods of Implementation in the Examples.
  • FIG. 1 is a flowchart of a configuration generation method provided by an embodiment of the present disclosure
  • FIG. 2A is a schematic diagram of a first product input page according to an embodiment of the present disclosure
  • FIG. 2B is an example diagram of a first product input page provided by an embodiment of the present disclosure.
  • FIG. 2C is an exemplary diagram of another first product input page provided by an embodiment of the present disclosure.
  • FIG. 3 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure.
  • FIG. 4 is a corresponding relationship diagram of a business and product configuration list conversion formula provided by an embodiment of the present disclosure
  • FIG. 5 provides a flowchart of a method for configuring a product configuration list conversion formula according to an embodiment of the present disclosure
  • FIG. 6 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure.
  • FIG. 7 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure.
  • FIG. 8 is a schematic structural diagram of a configuration generation apparatus according to an embodiment of the present disclosure.
  • FIG. 9 is a schematic structural diagram of a server according to an embodiment of the present disclosure.
  • FIG. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure.
  • the embodiments of the present disclosure provide a configuration generation method, which can generate product configuration lists for services in various business scenarios. The following briefly introduces the applicable scenarios of the configuration generation method provided by the embodiment of the present disclosure.
  • Scenario 1 The user receives the first service information from the user through the software running on the terminal device (such as a personal computer); based on the first service information and product performance indicators, a target product configuration list is generated; and the target product configuration list is output.
  • the user only needs to input the information describing the first service and the information describing the first service scenario to which the first service is to be applied (ie, the first service information), and does not need to know the software and hardware configuration requirements of the product for the services in different application scenarios.
  • Scenario 2 The user receives the first service information from the user through the software running on the terminal device (such as a personal computer) or the logged-in webpage; the terminal device uploads the first service information to the server; the server based on the first service information and product The performance index is used to generate a target product configuration list; the server sends the target product configuration list to the terminal device; the terminal device outputs (eg, displays through a display) the target product configuration list.
  • the terminal device such as a personal computer
  • the performance index is used to generate a target product configuration list
  • the server sends the target product configuration list to the terminal device
  • the terminal device outputs (eg, displays through a display) the target product configuration list.
  • the user can obtain the product configuration list by inputting service information, and the operation is simple.
  • FIG. 1 is a flowchart of a configuration generation method provided by an embodiment of the present disclosure. As shown in Figure 1, the method may include:
  • the configuration generating apparatus receives the first service information.
  • the above-mentioned first service information includes first information for describing a first service scenario and at least one service function, and the above-mentioned first service scenario is a scenario in which the above-mentioned at least one service function is applied.
  • the above-mentioned configuration generating apparatus may be a terminal device such as a mobile phone, a tablet computer, a notebook computer, or a desktop computer; it may also be a server (for example, a cloud server).
  • the above-mentioned first business scenario may be an artificial intelligence application scenario, for example, application scenarios such as monitoring illegal parking, garbage dumping, and fighting events.
  • the above-mentioned target product may be an artificial intelligence product, such as a product with a garbage detection function, a product with a crowd density detection function, and the like.
  • the above information for describing the first service scenario may be understood as scenario input information.
  • the first business scenario is an urban management scenario, and the first business information includes: the number of people, the function of detecting fights, and the number of cameras; wherein, the function of detecting fights is a business function (corresponding to at least one business function), the number of population and the number of cameras
  • the scenario input information For the information for describing the first business scenario (ie, the scenario input information).
  • the first service scenario is a crowd detection scenario
  • the first service information includes: a crowd detection function, 2 locations, and 4 cameras; wherein, the crowd detection function is a business function, and the 2 locations and 4 cameras are used for Information for describing the first business scenario (ie, scenario input information).
  • the first business scenario is an urban management scenario
  • the first business information includes: a fight detection function, a crowd detection function, 2 locations, and 4 cameras; wherein, the crowd detection function and the fight detection function are business functions, and 2 The location and the 4 cameras are information used to describe the first service scenario (ie, scenario input information).
  • the configuration generating apparatus may display the first product input page in response to the user's instruction to select the above-mentioned first business scenario from multiple business scenarios; each of the above-mentioned multiple business scenarios
  • the business scenario corresponds to one product input page, and the product input pages corresponding to different business scenarios in the above-mentioned multiple business scenarios are different;
  • a possible implementation of step 101 is as follows: receiving the above-mentioned first product input page filled in by the user in the above-mentioned first product input page. business information.
  • the first product input page may be understood as a scenario-based input page specially configured for the first business scenario.
  • the first product input page is configured to realize the scenario-based configuration of the customer's requirements, and can facilitate the user to input scenario-based information (for example, information describing the first business scenario).
  • scenario-based information for example, information describing the first business scenario.
  • the user's knowledge of artificial intelligence products is limited to what problems the products can help solve, and cannot easily know the software and hardware configuration requirements of the products for the business in different application scenarios.
  • the user can conveniently input the information describing the first application scenario through the first product input page, and does not need to know the software and hardware configuration requirements of the product for the business in different application scenarios, which can reduce the requirements for the user , to improve the user experience.
  • the implementation of step 101 is as follows: the configuration generation apparatus receives the first service information from the user through the software it runs; wherein the configuration generation apparatus is a terminal device.
  • the user may input the first service information to the configuration generating apparatus through an input device, such as a keyboard, a mouse, a touch screen, and the like.
  • the configuration generating apparatus receives the first business information filled in by the user through the first product input page displayed by the software running on the configuration generating apparatus.
  • FIG. 2A is a schematic diagram of a first product input page according to an embodiment of the present disclosure. As shown in FIG. 2A , the first product input page includes: a service filling field 201 and a scene element filling field 202 .
  • the service filling field 201 is used to fill in a service function (such as a crowd detection function), and the service filling field 201 includes at least one field for filling in Filling fields for business functions, 2011, 2012, .
  • the business scenarios (for example, the first business scenario), 2021, 2022, . . . , 2026 are all fields for filling in the scene elements.
  • FIG. 2B is an example diagram of a first product input page provided by an embodiment of the present disclosure. As shown in FIG. 2B , the crowd detection function (corresponding to at least one service function) is filled in the service filling field 201 , and the scene elements filled in the scene element filling field 202 include 2 locations and 4 cameras.
  • FIG. 2C is an exemplary diagram of another first product input page provided by an embodiment of the present disclosure.
  • the garbage detection function (corresponding to at least one service function) is filled in the service filling field 201
  • the scene elements filled in the scene element filling field 202 are 10 cameras.
  • step 101 the implementation of step 101 is as follows: the configuration generating apparatus receives the first service information from a terminal device (eg, a desktop computer) through a communication interface; wherein, the configuration generating apparatus is a server.
  • a terminal device eg, a desktop computer
  • the configuration generating apparatus is a server.
  • the performance index of the target product includes the performance index of the target product that realizes the at least one business function in the first business scenario
  • the configuration list of the target product includes the quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product. at least one of.
  • a possible implementation manner of step 102 is as follows: obtaining a target product configuration list conversion formula, and the above target product configuration list conversion formula is used to determine the quantity of the target product required to realize the at least one business function in the above-mentioned first business scenario, the above-mentioned at least one of the software configuration of the target product and the hardware configuration of the target product; based on the first business information and the performance index of the target product, determine the parameters in the conversion formula of the target product configuration list, and determine the conversion formula of the target product configuration list , to obtain the calculation result; according to the above-mentioned calculation result and the above-mentioned target product associated with the above-mentioned target product configuration list conversion formula, the above-mentioned target product configuration list is generated.
  • the configuration generating device takes the first business information and the product performance index as the parameters of the target product configuration list conversion formula, and can accurately determine the required quantity of target products and the hardware and software configuration of the target products.
  • the configuration generation device may store a correspondence between the at least one business function in the first business scenario and the conversion formula of the target product configuration list, and the target corresponding to the at least one business function may be acquired according to the correspondence Product configuration list conversion formula.
  • the configuration generation device may store or obtain a product configuration list conversion formula corresponding to a service function in multiple service scenarios, or a combination of multiple service functions (for example, a target product configuration list conversion formula ).
  • the configuration generation device may store the correspondence between the first business function and the first product configuration list conversion formula in the first business scenario, and the second business function and the second product configuration list conversion in the second business scenario. Correspondence of the formula.
  • the configuration generating device may store the combination of the third service function and the fourth service function in the first service scenario and the corresponding relationship between the conversion formula of a certain product configuration list.
  • the configuration generation device may convert the parameters corresponding to the first business information and the performance index of the target product in the target product configuration list conversion formula into numbers to obtain the configuration list generation formula; determine the configuration list generation formula, The above calculation results are obtained.
  • some parameters corresponding to the first business information and the product performance index in the target product configuration list conversion formula are converted into numbers through dynamic compilation to obtain a configuration list generation formula.
  • the configuration generation device replaces the parameters in the conversion formula of the target product configuration list with numbers through the dynamic compilation technology to obtain the configuration list generation formula; the efficiency can be enhanced.
  • the configuration generating apparatus may further perform the following step: the configuration generating apparatus outputs the above-mentioned target product configuration list.
  • the configuration generating apparatus is a terminal device (eg, a desktop computer), and an output device (eg, a display screen) of the configuration generating apparatus displays a target product configuration list.
  • the configuration generating apparatus is a server, and the configuration generating apparatus sends the target product configuration list to the terminal device (for example, the terminal device that sends the first service information to the configuration generating apparatus).
  • the first service information includes a plurality of target service information, and each target service information in the plurality of target service information includes target information for describing a target service scenario and at least one target service function, and the target service
  • the scenario is a scenario in which the above-mentioned at least one target business function is applied;
  • the above-mentioned target product configuration list includes multiple sub-target product configuration lists, and each sub-target product configuration list in the above-mentioned multiple sub-target product configuration lists includes the quantity of at least one sub-target product, the above-mentioned at least At least one of the software configuration of a sub-target product and the hardware configuration of the above-mentioned at least one sub-target product, the above-mentioned at least one sub-target product is included in the above-mentioned target product.
  • Target service scenarios corresponding to different target service information in the above-mentioned multiple target service information are different.
  • the multiple target service information includes the first target service information to the Nth target service information; the first target service information is used to describe the first target service scenario and the target information of at least one first target service function, and the second target service information The service information is used to describe the second target service scenario and the target information of at least one second target service function; ...; the Nth target service information is used to describe the Nth target service scenario and the target information of at least one Nth target service function.
  • the first service information includes information for describing multiple different target service scenarios and at least one target service function under each target service scenario.
  • the configuration generating apparatus generates multiple sub-target product configuration lists by using multiple target business information, which can improve the efficiency of generating product configuration lists.
  • the above-mentioned target product performance index includes a plurality of sub-target product performance indicators
  • the above-mentioned sub-target product performance index includes a performance index of a sub-target product that realizes the above-mentioned at least one target business function in the above-mentioned target business scenario
  • the above-mentioned method further The method includes: generating the configuration list of the sub-target products based on the target business information and the performance indicators of the sub-target products.
  • the configuration generating device may generate a sub-target product configuration list based on each target business information and the sub-target product performance index corresponding to the target business information.
  • the sub-target product performance index corresponding to one target business information is: in the business scenario corresponding to the target business information, the performance index of the sub-target product that realizes at least one business function corresponding to the target business information.
  • the configuration generating means may independently generate the sub-target product configuration list based on the target business information and the sub-target product performance index.
  • the target product configuration list is generated based on the target product performance index and the first business information input by the user; it can solve the problem of software and hardware configuration that needs to be satisfied when the artificial intelligence product is applied to different business scenarios, and the operation is convenient and the time is short. .
  • FIG. 3 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure.
  • the method flow in FIG. 3 is a refinement and improvement of the method flow in FIG. 2 .
  • the method includes:
  • the configuration generating apparatus receives the first business information input in the first product input page.
  • the configuration generating means receives the first business information filled in by the user on the first product input page.
  • the above-mentioned first service information includes first information for describing a first service scenario and at least one service function, and the above-mentioned first service scenario is a scenario in which the above-mentioned at least one service function is applied.
  • the above configuration generating apparatus is a terminal device. For example, the display screen of the configuration generating apparatus displays the first product input page, and the configuration generating apparatus receives the first business information filled in by the user on the first product input page through input devices such as keyboard, mouse, and touch screen.
  • the configuration generating apparatus acquires a target product configuration list conversion formula matching the first service information.
  • the above-mentioned target product configuration list conversion formula is used to determine at least one of the quantity of the above-mentioned target product, the software configuration of the above-mentioned target product, and the hardware configuration of the above-mentioned target product required to realize the above-mentioned at least one business function in the above-mentioned first business scenario .
  • the configuration generation device stores a correspondence between the at least one business function in the first business scenario and the conversion formula of the target product configuration list, and the target product matching the first business information can be acquired according to the correspondence. Configure the manifest transformation formula.
  • the configuration generating device may store or obtain any business function under various business scenarios, or the corresponding relationship between the combination of various business functions and the conversion formula of the product configuration list (for example, the conversion formula of the target product configuration list). , and according to these correspondences, the conversion formula of the product configuration list matching various business information can be obtained.
  • FIG. 4 is a corresponding relationship diagram between a business function and a product configuration list conversion formula provided by an embodiment of the present disclosure. As shown in FIG.
  • business 1 ie, the first business
  • business 2 in the first business scenario corresponds to the product configuration list Conversion formula 2, ...
  • business 3 ie, the second service
  • product configuration list conversion formula 3 ie, the second product configuration list conversion formula
  • the configuration generation device converts the parameters corresponding to the first business information and the target product performance index in the target product configuration list conversion formula into numbers, and obtains the configuration list generation formula.
  • the configuration generation device converts the parameters corresponding to the first business information and the product performance index in the target product configuration list conversion formula into numbers through dynamic compilation to obtain the configuration list generation formula. That is to say, the parameters in the conversion formula of the target product configuration list are replaced by numbers through the dynamic compilation technology, and the configuration list generation formula is obtained.
  • the configuration generating apparatus determines the above-mentioned formula for generating the configuration list, and obtains a calculation result.
  • the configuration generating device generates a target product configuration list according to the above calculation result and the target product associated with the target product configuration list conversion formula.
  • the target product configuration list includes at least one of the quantity of the target product, the software configuration of the target product, or the hardware configuration of the target product.
  • GPU graphics processing unit
  • the configuration generating device outputs the target product configuration list.
  • the configuration generation device can accurately and quickly generate a product configuration list according to business information (ie, scenario input information).
  • FIG. 2 and FIG. 3 describe the flow of the method for the user to generate the product configuration list through the configuration generation device. The following describes the method flow of the configuration generation device configuration product configuration list conversion formula.
  • FIG. 5 provides a flowchart of a method for configuring a product configuration list conversion formula according to an embodiment of the present disclosure. As shown in Figure 5, the method includes:
  • the configuration generating apparatus configures the first product input page and the target product performance index.
  • the first product input page can be understood as a scene-based input form.
  • the developer ie the person who develops the configuration generation method in the foregoing embodiment
  • the urban management scene enter the number of population, business functions (such as detection of fights, etc.), and the number of cameras. That is to say, developers can configure corresponding product input pages according to actual business application scenario requirements. In practical applications, developers need to configure different product input pages according to different business scenarios.
  • the first product input page is used for the user to fill in the scene-based information (ie, scene elements) describing the first business scene.
  • Target product performance indicators You can design and fill in based on the performance indicators of the product.
  • the product supports 10 types of event detection and supports simultaneous access by 100 users. Developers can instantly adjust configured product input pages and product performance metrics based on business needs. Compared with users, developers have more knowledge about how to configure hardware and software resources for a business scenario. Therefore, developers can configure product input pages and product performance indicators according to business scenarios.
  • the configuration generating apparatus may also update the first product input page and/or the target product performance index.
  • the configuration generating apparatus obtains the conversion formula of the target product configuration list.
  • step 502 the configuration generating apparatus receives a target product configuration list conversion formula input by a user (eg, a developer) through an input device.
  • a user eg, a developer
  • the configuration generating device verifies whether the conversion formula of the target product configuration list is correct.
  • step 504 If yes, go to step 504; if no, go to step 505.
  • the configuration generating device saves the conversion formula of the target product configuration list, and associates the conversion formula of the target product configuration list with the target product.
  • the configuration generation device associating the target product configuration list conversion with the target product may be: storing the association relationship between the target product configuration list conversion formula and the target product.
  • the configuration generation means may associate the target product configuration manifest conversion formula with the target product in response to the operation of the developer. That is to say, the developer can configure the relationship between the target product configuration list conversion formula and the target product according to actual needs.
  • a product configuration list conversion formula is associated with a 2-card crowd detection server product. Since the target product configuration list conversion formula is associated with the target product, and the target product is the product to be applied in the first business scenario, it can be understood that the product is associated according to the business scenario. For example, according to a certain scenario setting, associate a 2-card crowd detection server product.
  • the configuration generation device saves the target product configuration list conversion formula that has passed the legality check, and associates the target product configuration list conversion formula with the target product, so as to ensure the correctness of the target product configuration list conversion formula and ensure that the target product passes the target product configuration list conversion formula.
  • the configuration list conversion formula can get the product configuration list.
  • the configuration generating device outputs a prompt message indicating that the conversion formula of the target product configuration list is invalid.
  • the configuration generating apparatus can configure different product input pages according to different business scenario settings, and configure product performance indicators according to actual conditions, so as to meet the needs of generating product configuration lists in different business scenarios.
  • FIG. 1 and FIG. 3 introduce the flow of the configuration generation method independently implemented by the configuration generation apparatus.
  • the flow of the configuration generation method jointly implemented by the terminal device and the configuration generation apparatus (for example, a server) is described below.
  • FIG. 6 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure. As shown in Figure 6, the method includes:
  • a terminal device receives first service information from a user.
  • the above-mentioned first service information includes first information for describing a first service scenario and at least one service function
  • the above-mentioned first service scenario is a scenario in which the above-mentioned at least one service function is applied.
  • a possible implementation manner of step 601 is as follows: receiving the first business information filled in by the user on the first product input page. For example, after logging in to a certain website, the terminal device opens a first product input page (a certain webpage), and fills in the first business information through the first product input page.
  • the configuration generating apparatus receives the first service information from the terminal device.
  • the configuration generating means may be a server.
  • the configuration generating apparatus generates a target product configuration list based on the first service information and the target product performance index.
  • step 603 may be the same as that of step 102 .
  • the configuration generating apparatus sends a target product configuration list to the terminal device.
  • the terminal device outputs a target product configuration list.
  • the configuration generating apparatus receives the first service information from the terminal device and sends the target product configuration list to the terminal device. It can be understood that it provides the terminal device with the service of generating the product configuration list.
  • the configuration generating apparatus can provide the service of generating a product configuration list for multiple terminal devices at the same time, and the terminal device does not need to generate the product configuration list by itself.
  • the configuration generating apparatus can provide a service of generating a product configuration list for multiple terminal devices, and the resource utilization rate is high.
  • FIG. 7 is a flowchart of another configuration generation method provided by an embodiment of the present disclosure. As shown in Figure 7, the method includes:
  • the terminal device receives the first service information filled in by the user on the first product input page.
  • the configuration generating apparatus receives the first service information from the terminal device.
  • the configuration generating apparatus acquires a target product configuration list conversion formula matching the first service information.
  • step 703 may be the same as that of step 302 .
  • the configuration generation device converts the parameters corresponding to the first business information and the target product performance index in the target product configuration list conversion formula into numbers to obtain a configuration list generation formula.
  • the configuration generating apparatus determines the above-mentioned formula for generating the configuration list, and obtains a calculation result.
  • the configuration generating device generates a target product configuration list according to the calculation result and the target product associated with the target product configuration list conversion formula.
  • the configuration generating apparatus sends a target product configuration list to the terminal device.
  • the terminal device outputs a target product configuration list.
  • the configuration generation device can accurately and quickly generate the product configuration list according to the business information (that is, the scene input information).
  • FIG. 8 is a schematic structural diagram of a configuration generating apparatus according to an embodiment of the present disclosure.
  • the configuration generating means may include:
  • the input unit 801 is configured to receive first service information;
  • the above-mentioned first service information includes first information for describing a first service scenario and at least one service function, and the above-mentioned first service scenario is a scenario in which the above-mentioned at least one service function is applied;
  • the processing unit 802 is configured to generate a target product configuration list based on the above-mentioned first business information and the target product performance index; the above-mentioned target product performance index includes the performance index of the target product that realizes the above-mentioned at least one business function in the above-mentioned first business scenario,
  • the target product configuration list includes at least one of the quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product.
  • the processing unit 802 is configured to obtain a target product configuration list conversion formula, where the target product configuration list conversion formula is used to determine the above-mentioned target required to realize the above-mentioned at least one business function in the above-mentioned first business scenario at least one of the number of products, the software configuration of the target product, and the hardware configuration of the target product; based on the first business information and the performance index of the target product, determine the parameters in the conversion formula of the target product configuration list, and determine The above-mentioned target product configuration list conversion formula is used to obtain a calculation result; the above-mentioned target product configuration list is generated according to the above-mentioned calculation result and the above-mentioned target product associated with the above-mentioned target product configuration list conversion formula.
  • the processing unit 802 is configured to convert the parameters corresponding to the first business information and the target product performance index in the target product configuration list conversion formula into numbers to obtain a configuration list generation formula; determine the above configuration List generation formula to get the above calculation result.
  • the above-mentioned configuration generating apparatus further includes: an output unit 803, configured to display a first product input page in response to an input instruction for selecting the above-mentioned first business scenario from a plurality of business scenarios; the above-mentioned Each business scenario in the plurality of business scenarios corresponds to a product input page, and the product input pages corresponding to different business scenarios in the above-mentioned multiple business scenarios are different; the input unit 801 is specifically configured to receive the input in the above-mentioned first product input page the above-mentioned first service information.
  • the configuration generating apparatus is a terminal device
  • the input unit 801 is an input device, such as a keyboard, a touch screen, etc.
  • the output unit 803 is an output device, such as a display.
  • the configuration generation device is a server
  • the input unit 801 is a transmitter
  • the output unit 803 is a receiver.
  • the input unit 801 and the output unit 803 correspond to the input and output interface of the server.
  • the first service information includes a plurality of target service information, and each target service information in the plurality of target service information includes target information for describing a target service scenario and at least one target service function.
  • the target business scenario is a scenario in which the at least one target business function is applied;
  • the target product configuration list includes multiple sub-target product configuration lists, and each sub-target product configuration list in the multiple sub-target product configuration lists includes: the quantity of at least one sub-target product , at least one of the software configuration of the at least one sub-target product and the hardware configuration of the at least one sub-target product, the at least one sub-target product being included in the target product.
  • the above-mentioned target product performance index includes a plurality of sub-target product performance indicators
  • the above-mentioned sub-target product performance index includes the performance index of the sub-target product that realizes the above-mentioned at least one target business function in the above-mentioned target business scenario
  • the above-mentioned The method further includes: generating the above-mentioned sub-target product configuration list based on the above-mentioned target business information and the above-mentioned sub-target product performance index.
  • the processing unit 802 is further configured to configure the above-mentioned first product input page and/or the above-mentioned target product performance index.
  • the processing unit 802 is further configured to obtain the above target product configuration list conversion formula; in the case that the above target product configuration list conversion formula passes the validity check, save the above target product configuration list conversion formula, And associate the above target product configuration list conversion formula with the above target product.
  • the processing unit 802 is further configured to obtain the above-mentioned target product configuration list conversion formula; in the case that the above-mentioned target product configuration list conversion formula passes the validity check, save the above-mentioned target product configuration list conversion formula, And associate the above target product configuration list conversion formula with the above target product.
  • the processing unit 802 is further configured to update the above-mentioned first product input page and/or the above-mentioned target product performance index.
  • each unit of the configuration generating apparatus above is only a division of logical functions, and may be fully or partially integrated into a physical entity in actual implementation, or may be physically separated.
  • each of the above units can be separately established processing elements, or can be integrated into the same chip for implementation.
  • they can also be stored in the storage element of the controller in the form of program codes, which are called and executed by a certain processing element of the processor.
  • each unit can be integrated together, or can be implemented independently.
  • the processing element here may be an integrated circuit chip with signal processing capability.
  • each step of the above-mentioned method or each of the above-mentioned units may be completed by an integrated logic circuit of hardware in the processor element or an instruction in the form of software.
  • the processing element can be a general-purpose processor, such as a central processing unit (English: central processing unit, CPU for short), or can be one or more integrated circuits configured to implement the above method, such as one or more specific integrated circuits Circuit (English: application-specific integrated circuit, referred to as: ASIC), or, one or more microprocessors (English: digital signal processor, referred to as: DSP), or, one or more field programmable gate arrays (English: field-programmable gate array, referred to as: FPGA) and so on.
  • FIG. 9 is a schematic structural diagram of a server provided by an embodiment of the present disclosure.
  • the server 900 may vary greatly due to different configurations or performance, and may include one or more central processing units (CPUs) 922 ( For example, one or more processors) and memory 932, one or more storage media 930 (eg, one or more mass storage devices) storing applications 942 or data 944.
  • the memory 932 and the storage medium 930 may be short-term storage or persistent storage.
  • the program stored in the storage medium 930 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations on the server.
  • the central processing unit 922 may be configured to communicate with the storage medium 930 to execute a series of instruction operations in the storage medium 930 on the server 900 .
  • the server 900 may provide the configuration generation method provided by the present disclosure.
  • Server 900 may also include one or more power supplies 926, one or more wired or wireless network interfaces 950, one or more input and output interfaces 958, and/or, one or more operating systems 941, such as: Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and many more.
  • operating systems 941 such as: Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM and many more.
  • the steps performed by the configuration generating apparatus in the above-described embodiment may be based on the server structure shown in FIG. 9 .
  • the central processing unit 922 may implement the functions of the processing unit 802 in FIG. 8
  • the input/output interface 958 may implement the functions of the input unit 801 and the output unit 803 in FIG. 8 .
  • FIG. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present disclosure.
  • the terminal device 100 includes a processor 1001 , a memory 1002 , a communication interface 1003 and an input and output device 1004 ; the processor 1001 , the memory 1002 and the communication interface 1003 are connected to each other through a bus.
  • the terminal device in FIG. 10 may be the configuration generating apparatus in the foregoing embodiment.
  • the memory 1002 includes, but is not limited to, random access memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM), or portable Read-only memory (compact disc read-only memory, CDROM), the memory 1002 is used for related instructions and data.
  • the communication interface 1003 is used to receive and transmit data.
  • Input and output devices 1004 may include input devices such as keyboards, mice, and touch screens, and output devices such as displays and screens.
  • the user can input instructions, such as first service information, to the terminal device through the input device.
  • the output device may display the first product input page, among other content.
  • the processor 1001 may be one or more central processing units (central processing units, CPUs). In the case where the processor 1001 is a CPU, the CPU may be a single-core CPU or a multi-core CPU. The steps performed by the configuration generating apparatus in the above embodiment may be based on the structure of the terminal device shown in FIG. 10 . Specifically, the input and output device 1004 can implement the functions of the instruction input unit 801 and the output unit 803 ; the processor 1001 can implement the functions of the processing unit 802 .
  • CPUs central processing units
  • An embodiment of the present disclosure provides a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, implements the configuration generation method provided in the foregoing embodiment.
  • Embodiments of the present disclosure provide a computer program product containing instructions, which, when executed on a computer, cause the computer to execute the configuration generation method provided by the foregoing embodiments.
  • the present disclosure discloses a configuration generation method, apparatus, electronic device and storage medium.
  • the method includes: receiving first service information; the first service information includes a first service scenario and at least one service function. information, the first business scenario is a scenario in which the at least one business function is applied; a target product configuration list is generated based on the first business information and target product performance indicators; the target product performance indicators are included in the first The performance index of the target product that realizes the at least one business function in the business scenario, and the target product configuration list includes at least one of the quantity of the target product, the software configuration of the target product, and the hardware configuration of the target product item.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Marketing (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Quality & Reliability (AREA)
  • Educational Administration (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • Finance (AREA)
  • Accounting & Taxation (AREA)
  • Software Systems (AREA)
  • Data Mining & Analysis (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Mathematical Physics (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Stored Programmes (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

一种配置生成方法、装置、电子设备及存储介质，该方法包括：接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项。所述方法基于产品性能指标和用户输入的第一业务信息，生成目标产品配置清单，从而能够解决人工智能产品应用于不同业务场景需要满足的软硬件配置的问题，操作便捷、用时短。

Description

配置生成方法、装置、电子设备及存储介质
相关申请的交叉引用
本公开基于申请号为202011049483.6、申请日为2020年09月29日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此引入本公开作为参考。
技术领域
本公开涉及计算机领域，尤其涉及一种配置生成方法、装置、电子设备及存储介质。
背景技术
人工智能(artificial intelligence，AI)是研究、开发用于模拟、延伸和扩展人的智能的理论、方法、技术及应用系统的一门新的技术科学。人工智能是计算机科学的一个分支，它企图了解智能的实质，并生产出一种新的能以人类智能相似的方式做出反应的智能机器，该领域的研究包括机器人、语言识别、图像识别、自然语言处理和专家系统等。
在各种人工智能应用场景中，客户对于人工智能产品的认知通常仅限于产品能帮助解决什么问题，比如，违章停车、垃圾倾倒等问题监测，并不了解人工智能产品应用于不同业务场景下需要满足的软硬件配置。
发明内容
本公开实施例公开了一种配置生成方法、装置、电子设备及存储介质，能够解决人工智能产品应用于不同业务场景需要满足的软硬件配置的问题，操作便捷、用时短。
第一方面，本公开实施例提供了一种配置生成方法，该方法包括：接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项。
本公开实施例的执行主体为配置生成装置，例如手机、平板电脑、笔记本电脑、台式电脑等终端设备；还可以是服务器(例如云端服务器)。所述第一业务场景可以是人工智能应用场景，例如监测违章停车、垃圾倾倒、打架事件等应用场景。所述目标产品可以是人工智能产品，例如具备垃圾检测功能的产品、具备人群密度检测功能的产品等。用于描述第一业务场景的信息可以理解为场景输入信息。举例来说，第一业务场景为城管场景，第一业务信息包括：人口数量、检测打架功能、摄像头数量；其中，检测打架功能为业务功能，人口数量和摄像头数量为用于描述第一业务场景的信息(即场景输入信息)。又举例来说，第一业务场景为人群检测场景，第一业务信息包括：人群检测功能、2个位置以及4路摄像头；其中，人群检测功能为业务功能，2个位置以及4路摄像头为用于描述第一业务场景的信息(即场景输入信息)。
应理解，在各种人工智能应用场景中，客户对于人工智能产品的认知仅限于产品能帮助解决什么问题，比如违章停车，垃圾倾倒等问题监测。本公开实施例中，用户仅需输入第一业务场景(对应于场景输入信息)就能得到处理第一业务场景下的第一业务所需的目标产品的数量，和/或，所述目标产品的软件和/或硬件配置。本公开实施例中，用户不需要知道不同应用场景下的业务对于产品的软硬件配置要求。
本公开实施例中，基于产品性能指标和用户输入的第一业务信息，生成目标产品配置清单；能够解决人工智能产品应用于不同业务场景需要满足的软硬件配置的问题，操作便捷、用时短。
在一个可能的实现方式中，所述基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单，包括：获取目标产品配置清单转换公式，所述目标产品配置清单转换公式用于确定在所述第一 业务场景下实现所述至少一个业务功能所需的所述目标产品的数量、所述目标产品的软件配置、所述目标产品的硬件配置中的至少一项；基于所述第一业务信息和所述目标产品性能指标确定所述目标产品配置清单转换公式中的参数，确定所述目标产品配置清单转换公式，得到计算结果；根据所述计算结果和所述目标产品配置清单转换公式关联的所述目标产品，生成所述目标产品配置清单。
在该实现方式中，将第一业务信息和产品性能指标作为目标产品配置清单转换公式的参数，可以准确地确定出所需的目标产品的数量以及目标产品的软硬件配置。
在一个可能的实现方式中，所述基于所述第一业务信息和所述目标产品性能指标，确定所述目标产品配置清单转换公式中的参数，并确定所述目标产品配置清单转换公式，得到计算结果，包括：将所述目标产品配置清单转换公式中所述第一业务信息和所述目标产品性能指标对应的参数转换为数字，得到配置清单生成公式；确定所述配置清单生成公式，得到所述计算结果。
在一些实施例中，通过动态编译将所述目标产品配置清单转换公式中所述第一业务信息和所述产品性能指标对应的部分参数转换为数字，得到配置清单生成公式。也就是说，通过动态编译技术将目标产品配置清单转换公式中的参数替换为数字，得到配置清单生成公式。
在一个可能的实现方式中，在接收第一业务信息之前，所述方法还包括：响应于输入的用于从多个业务场景中选中所述第一业务场景的指令，显示第一产品输入页面；所述多个业务场景中的每个业务场景对应一个产品输入页面，所述多个业务场景中不同业务场景所对应的产品输入页面不同；所述接收第一业务信息包括：接收在所述第一产品输入页面中输入的所述第一业务信息。
第一产品输入页面可以理解为专门为第一业务场景配置的场景化输入页面。也就是说，第一产品输入页面是为了实现客户需求场景化配置专门配置的，从而能够方便用户输入场景化信息(例如描述第一业务场景的信息)。应理解，用户对于人工智能产品的认知仅限于产品能帮助解决什么问题，并不能轻易的获知不同应用场景下的业务对于产品的软硬件配置要求。在该实现方式中，用户通过第一产品输入页面可方便地输入用于描述第一应用场景的信息，不需要知道不同应用场景下的业务对于产品的软硬件配置要求，能够降低对用户的要求，提高用户体验。
在该实现方式中，接收用户在第一产品输入页面中填写的第一业务信息，可实现用户需求的场景化配置，提高用户体验。
在一个可能的实现方式中，所述第一业务信息包括多个目标业务信息，所述多个目标业务信息中每个目标业务信息包括用于描述目标业务场景和至少一个目标业务功能的目标信息，所述目标业务场景为所述至少一个目标业务功能应用的场景；所述目标产品配置清单包括多个子目标产品配置清单，所述多个子目标产品配置清单中每个子目标产品配置清单包括至少一个子目标产品的数量、所述至少一个子目标产品的软件配置、所述至少一个子目标产品的硬件配置中的至少一项和所述至少一个子目标产品包含于所述目标产品。所述目标产品包括所述子目标产品。
在该实现方式中，配置生成装置利用多个目标业务信息，生成多个子目标产品配置清单，可以提高生成产品配置清单的效率。
在一个可能的实现方式中，所述目标产品性能指标包括多个子目标产品性能指标，所述子目标产品性能指标包括：在所述目标业务场景下实现所述至少一个目标业务功能的子目标产品的性能指标，所述方法还包括：基于所述目标业务信息和所述子目标产品性能指标，生成所述子目标产品配置清单。
在该实现方式中，配置生成装置可基于目标业务信息和子目标产品性能指标，独立的生成子目标产品配置清单。
在一个可能的实现方式中，所述方法还包括：配置所述第一产品输入页面和/或所述目标产品性能指标。
在一个可能的实现方式中，所述方法还包括：获得所述目标产品配置清单转换公式；在所述目标产品配置清单转换公式通过合法性校验的情况下，保存所述目标产品配置清单转换公式，并关联所述目标产品配置清单转换公式与所述目标产品。
在该实现方式中，保存通过合法性校验的目标产品配置清单转换公式，并关联该目标产品配置清单转换公式与目标产品，可以保证通过该目标产品配置清单转换公式的正确性，并保证通过该目标产 品配置清单转换公式可以得到产品配置清单。
在一个可能的实现方式中，所述方法还包括：更新所述第一产品输入页面和/或所述目标产品性能指标。
应理解，不同的业务场景具有不同的场景要素(即描述业务场景的参数)，不同的业务场景对应不同的产品输入页面。通过任一业务场景对应的产品输入页面可以准确、快速地输入描述该任一业务场景的场景要素。
在该实现方式中，响应于用户选中第一业务场景的指令，显示第一产品输入页面，以便于用户方便地通过输入第一业务信息来表示其真实的业务需求。
第二方面，本公开实施例提供了一种配置生成装置，包括：输入单元，配置为接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；处理单元，配置为基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项。
在一个可能的实现方式中，所述处理单元，具体配置为获取目标产品配置清单转换公式，所述目标产品配置清单转换公式用于确定在所述第一业务场景下实现所述至少一个业务功能所需的所述目标产品的数量、所述目标产品的软件配置、所述目标产品的硬件配置中的至少一项；基于所述第一业务信息和所述目标产品性能指标，确定所述目标产品配置清单转换公式中的参数，并确定所述目标产品配置清单转换公式，得到计算结果；根据所述计算结果和所述目标产品配置清单转换公式关联的所述目标产品，生成所述目标产品配置清单。
在一个可能的实现方式中，所述处理单元，具体配置为将所述目标产品配置清单转换公式中所述第一业务信息和所述目标产品性能指标对应的参数转换为数字，得到配置清单生成公式；确定所述配置清单生成公式，得到所述计算结果。
在一个可能的实现方式中，所述配置生成装置还包括：输出单元，配置为响应于输入的用于从多个业务场景中选中所述第一业务场景的指令，显示第一产品输入页面；所述多个业务场景中的每个业务场景对应一个产品输入页面，所述多个业务场景中不同业务场景所对应的产品输入页面不同；所述输入单元，具体配置为接收所述在所述第一产品输入页面中输入的所述第一业务信息。
在一个可能的实现方式中，所述第一业务信息包括多个目标业务信息，所述多个目标业务信息中每个目标业务信息包括用于描述目标业务场景和至少一个目标业务功能的目标信息，所述目标业务场景为所述至少一个目标业务功能应用的场景；所述目标产品配置清单包括多个子目标产品配置清单，所述多个子目标产品配置清单中每个子目标产品配置清单包括：至少一个子目标产品的数量、所述至少一个子目标产品的软件配置和所述至少一个子目标产品的硬件配置中的至少一项，所述至少一个子目标产品包含于所述目标产品。
在一个可能的实现方式中，所述目标产品性能指标包括多个子目标产品性能指标，所述子目标产品性能指标包括：在所述目标业务场景下实现所述至少一个目标业务功能的子目标产品的性能指标，所述方法还包括：基于所述目标业务信息和所述子目标产品性能指标，生成所述子目标产品配置清单。
在一个可能的实现方式中，所述处理单元，还配置为配置所述第一产品输入页面和/或所述目标产品性能指标。
在一个可能的实现方式中，所述处理单元，还配置为获得所述目标产品配置清单转换公式；在所述目标产品配置清单转换公式通过合法性校验的情况下，保存所述目标产品配置清单转换公式，并关联所述目标产品配置清单转换公式与所述目标产品。
关于第二方面或各种在一些实施例中实施方式所带来的技术效果，可参考对于第一方面或相应的实现方式的技术效果的介绍。
第三方面，本公开实施例提供了一种电子设备，该电子设备包括：处理器和存储器，其中，所述存储器用于存储指令，所述处理器用于执行所述存储器存储的指令，使得所述处理器执行如上述第一 方面以及任一种可能的实现方式的方法。
第四方面，本公开实施例提供了一种芯片，该芯片包括通信接口和处理器，其中，所述处理器用于执行第一方面或第一方面的任意可能实现方式中的方法。
第五方面，本公开实施例提供了一种计算机可读存储介质，该计算机存储介质存储有计算机程序，该计算机程序包括程序指令，该程序指令当被处理器执行时使该处理器执行上述第一方面以及任一种在一些实施例中实现方式的方法。
第六方面，本公开实施例提供了一种计算机程序产品，该计算机程序产品包括程序指令，所述程序指令当被处理器执行时使所述处理器执行上述第一方面以及任一种在一些实施例中实现方式的方法。
附图说明
为了更清楚地说明本公开实施例或背景技术中的技术方案，下面将对本公开实施例或背景技术中所需要使用的附图进行说明。
图1为本公开实施例提供的一种配置生成方法流程图；
图2A为本公开实施例提供的一种第一产品输入页面的示意图；
图2B为本公开实施例提供的一种第一产品输入页面的示例图；
图2C为本公开实施例提供的另一种第一产品输入页面的示例图；
图3为本公开实施例提供的另一种配置生成方法流程图；
图4为本公开实施例提供的一种业务与产品配置清单转换公式的对应关系图；
图5为本公开实施例提供了一种配置产品配置清单转换公式的方法流程图；
图6为本公开实施例提供的另一种配置生成方法流程图；
图7为本公开实施例提供的另一种配置生成方法流程图；
图8为本公开实施例提供的一种配置生成装置的结构示意图；
图9为本公开实施例提供的一种服务器的结构示意图；
图10为本公开实施例提供的一种终端设备的结构示意图。
具体实施方式
本公开的说明书实施例和权利要求书及上述附图中的术语“第一”、“第二”、和“第三”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元。方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
在相关技术中，由于客户并不了解人工智能产品应用于不同业务场景下需要满足的软硬件配置，因此，需要研究如何解决人工智能产品应用于不同业务场景需要满足的软硬件配置问题。本公开实施例提供了一种配置生成方法，能够为多种业务场景下的业务生成产品配置清单。下面分别对本公开实施例提供的配置生成方法适用的场景进行简单的介绍。
场景1：用户通过终端设备(例如个人电脑)上运行的软件接收来自用户的第一业务信息；基于该第一业务信息和产品性能指标，生成目标产品配置清单；输出该目标产品配置清单。用户仅需输入描述第一业务的信息和描述该第一业务待应用的第一业务场景的信息(即第一业务信息)，不需要知道不同应用场景下的业务对于产品的软硬件配置要求。
场景2：用户通过终端设备(例如个人电脑)上运行的软件或登录的网页接收来自用户的第一业务信息；终端设备将该第一业务信息上传至服务器；服务器基于该第一业务信息和产品性能指标，生成目标产品配置清单；服务器将该目标产品配置清单发送给终端设备；终端设备输出(例如通过显示器显示)该目标产品配置清单。
在上述场景中，通过实施本公开实施例提供的配置生成方法，用户通过输入业务信息就能得到产品配置清单，操作简单。
下面结合附图来介绍本公开实施例提供的配置生成方法。
请参见图1，图1为本公开实施例提供的一种配置生成方法流程图。如图1所示，该方法可包括：
101、配置生成装置接收第一业务信息。
上述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，上述第一业务场景为上述至少一个业务功能应用的场景。上述配置生成装置可以是手机、平板电脑、笔记本电脑、台式电脑等终端设备；还可以是服务器(例如云端服务器)。上述第一业务场景可以是人工智能应用场景，例如监测违章停车、垃圾倾倒、打架事件等应用场景。上述目标产品可以是人工智能产品，例如具备垃圾检测功能的产品、具备人群密度检测功能的产品等。上述用于描述第一业务场景的信息可以理解为场景输入信息。举例来说，第一业务场景为城管场景，第一业务信息包括：人口数量、检测打架功能、摄像头数量；其中，检测打架功能为业务功能(对应于至少一个业务功能)，人口数量和摄像头数量为用于描述第一业务场景的信息(即场景输入信息)。又举例来说，第一业务场景为人群检测场景，第一业务信息包括：人群检测功能、2个位置以及4路摄像头；其中，人群检测功能为业务功能，2个位置以及4路摄像头为用于描述第一业务场景的信息(即场景输入信息)。又举例来说，第一业务场景为城管场景，第一业务信息包括：检测打架功能、人群检测功能、2个位置以及4路摄像头；其中，人群检测功能和检测打架功能为业务功能，2个位置以及4路摄像头为用于描述第一业务场景的信息(即场景输入信息)。
在一些实施例中，配置生成装置在执行步骤101之前，可响应于用户从多个业务场景中选中上述第一业务场景的指令，显示第一产品输入页面；上述多个业务场景中的每个业务场景对应一个产品输入页面，上述多个业务场景中不同业务场景所对应的产品输入页面不同；步骤101一种可能的实现方式如下：接收用户在上述第一产品输入页面中填写的上述第一业务信息。第一产品输入页面可以理解为专门为第一业务场景配置的场景化输入页面。也就是说，第一产品输入页面是为了实现客户需求场景化配置的，能够方便用户输入场景化信息(例如描述第一业务场景的信息)。应理解，用户对于人工智能产品的认知仅限于产品能帮助解决什么问题，并不能轻易的获知不同应用场景下的业务对于产品的软硬件配置要求。在该实现方式中，用户通过第一产品输入页面可方便地输入用于描述第一应用场景的信息，不需要知道不同应用场景下的业务对于产品的软硬件配置要求，能够降低对用户的要求，提高用户体验。
在一些实施例中，步骤101的实现方式如下：配置生成装置通过其运行的软件接收来自用户的第一业务信息；其中，配置生成装置为终端设备。在实际应用中，用户可通过输入设备，例如键盘、鼠标、触摸屏等，向配置生成装置输入第一业务信息。在一些实施例中，配置生成装置通过其运行的软件显示的第一产品输入页面接收用户填写的第一业务信息。图2A为本公开实施例提供的一种第一产品输入页面的示意图。如图2A所示，第一产品输入页面包括：业务填写栏201以及场景要素填写栏202，业务填写栏201用于填写业务功能(例如人群检测功能)，业务填写栏201包括至少一个用于填写业务功能的填写栏，图2中2011、2012、……2013均表示一个用于填写业务功能的填写栏，场景填写栏202包括至少一个用于填写场景要素的填写栏，这些场景要素用于描述业务场景(例如第一业务场景)，2021、2022、……、2026均为用于填写场景要素的填写栏。图2B为本公开实施例提供的一种第一产品输入页面的示例图。如图2B所示，业务填写栏201中填写的是人群检测功能(对应于至少一个业务功能)，场景要素填写栏202填写的场景要素包括2个位置以及4路摄像头。图2C为本公开实施例提供的另一种第一产品输入页面的示例图。如图2C所示，业务填写栏201中填写的是垃圾检测功能(对应于至少一个业务功能)，场景要素填写栏202填写的场景要素为10路摄像头。
在一些实施例中，步骤101的实现方式如下：配置生成装置通过通信接口接收来自终端设备(例如台式电脑)的第一业务信息；其中，配置生成装置为服务器。
102、基于第一业务信息和目标产品性能指标，生成目标产品配置清单。
上述目标产品性能指标包括在第一业务场景下实现上述至少一个业务功能的目标产品的性能指标，上述目标产品配置清单包括上述目标产品的数量、上述目标产品的软件配置和上述目标产品的硬件配置中的至少一项。
步骤102一个可能的实现方式如下：获取目标产品配置清单转换公式，上述目标产品配置清单转换公式用于确定在上述第一业务场景下实现上述至少一个业务功能所需的上述目标产品的数量、上述目标产品的软件配置和上述目标产品的硬件配置中的至少一项；基于上述第一业务信息和上述目标产品性能指标确定上述目标产品配置清单转换公式中的参数，确定上述目标产品配置清单转换公式，得到计算结果；根据上述计算结果和上述目标产品配置清单转换公式关联的上述目标产品，生成上述目标产品配置清单。配置生成装置将第一业务信息和产品性能指标作为目标产品配置清单转换公式的参数，可以准确地确定出所需的目标产品的数量以及目标产品的软硬件配置。在一些实施例中，配置生成装置可存储有第一业务场景下的上述至少一个业务功能与目标产品配置清单转换公式的对应关系，根据该对应关系可获取与上述至少一个业务功能相对应的目标产品配置清单转换公式。在一些实施例 中，配置生成装置可存储有，或者可获得多种业务场景下的一种业务功能，或者多种业务功能的组合所对应的产品配置清单转换公式(例如目标产品配置清单转换公式)。举例来说，配置生成装置可存储有第一业务场景下的第一业务功能与第一产品配置清单转换公式的对应关系，以及第二业务场景下的第二业务功能与第二产品配置清单转换公式的对应关系。又举例来说，配置生成装置可存储有第一业务场景下的第三业务功能和第四业务功能的组合，与某一产品配置清单转换公式的对应关系。
在一些实施例中，目标产品配置清单转换公式中的至少一个参数不为数字，配置生成装置不能直接确定上述目标产品配置清单转换公式。在这些实施例中，配置生成装置可将上述目标产品配置清单转换公式中上述第一业务信息和上述目标产品性能指标对应的参数转换为数字，得到配置清单生成公式；确定上述配置清单生成公式，得到上述计算结果。在一些实施例中，通过动态编译将上述目标产品配置清单转换公式中上述第一业务信息和上述产品性能指标对应的部分参数转换为数字，得到配置清单生成公式。配置生成装置通过动态编译技术将目标产品配置清单转换公式中的参数替换为数字，得到配置清单生成公式；可以增强效能。举例来说，目标产品配置清单转换公式如下：(是否需要垃圾检测＝＝是？Math.ceil(垃圾检测摄像头路数/垃圾检测性能指标)/2:0)，其中，垃圾检测摄像头路数(对应于第一业务信息)和垃圾检测性能指标(对应于产品性能指标)均非数字；配置清单生成公式如下：(是否需要垃圾检测＝＝是？Math.ceil(10/3)/2:0)。从该举例可以看出，目标产品配置清单转换公式中的至少一个参数不为数字，配置生成装置不能直接确定上述目标产品配置清单转换公式，配置生成装置可直接确定配置清单生成公式。
在一些实施例中，配置生成装置在执行步骤102之前，还可执行如下步骤：配置生成装置输出上述目标产品配置清单。比如，配置生成装置为终端设备(例如台式电脑)，配置生成装置的输出设备(例如显示屏)显示目标产品配置清单。比如，配置生成装置为服务器，配置生成装置将目标产品配置清单发送给终端设备(例如向配置生成装置发送第一业务信息的终端设备)。
在一些实施例中，上述第一业务信息包括多个目标业务信息，上述多个目标业务信息中每个目标业务信息包括用于描述目标业务场景和至少一个目标业务功能的目标信息，上述目标业务场景为上述至少一个目标业务功能应用的场景；上述目标产品配置清单包括多个子目标产品配置清单，上述多个子目标产品配置清单中每个子目标产品配置清单包括至少一个子目标产品的数量、上述至少一个子目标产品的软件配置和上述至少一个子目标产品的硬件配置中的至少一项，上述至少一个子目标产品包含于上述目标产品。上述多个目标业务信息中不同目标业务信息对应的目标业务场景不同。举例来说，多个目标业务信息包括第一目标业务信息至第N目标业务信息；第一目标业务信息用于描述第一目标业务场景和至少一个第一目标业务功能的目标信息，第二目标业务信息用于描述第二目标业务场景和至少一个第二目标业务功能的目标信息；……；第N目标业务信息用于描述第N目标业务场景和至少一个第N目标业务功能的目标信息。也就是说，第一业务信息包括用于描述多种不同的目标业务场景以及每个目标业务场景下的至少一个目标业务功能的信息。在这些实施例中，配置生成装置利用多个目标业务信息，生成多个子目标产品配置清单，可以提高生成产品配置清单的效率。在一些实施例中，上述目标产品性能指标包括多个子目标产品性能指标，上述子目标产品性能指标包括在上述目标业务场景下实现上述至少一个目标业务功能的子目标产品的性能指标，上述方法还包括：基于上述目标业务信息和上述子目标产品性能指标，生成上述子目标产品配置清单。应理解，配置生成装置可基于每个目标业务信息和该目标业务信息对应的子目标产品性能指标，生成子目标产品配置清单。一个目标业务信息对应的子目标产品性能指标为：在该目标业务信息对应的业务场景下，实现该目标业务信息对应的至少一个业务功能的子目标产品的性能指标。在这些实施例中，配置生成装置可基于目标业务信息和子目标产品性能指标，独立的生成子目标产品配置清单。
本公开实施例中，基于目标产品性能指标和用户输入的第一业务信息，生成目标产品配置清单；能够解决人工智能产品应用于不同业务场景需要满足的软硬件配置的问题，操作便捷、用时短。
图3为本公开实施例提供的另一种配置生成方法流程图。图3中的方法流程是对图2中的方法流程的细化和完善。如图3所示，该方法包括：
301、配置生成装置接收在第一产品输入页面中输入的第一业务信息。
配置生成装置接收用户在第一产品输入页面中填写的第一业务信息。上述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，上述第一业务场景为上述至少一个业务功能应用的场景。上述配置生成装置为终端设备。举例来说，配置生成装置的显示屏显示第一产品输入页面，配置生成装置通过键盘、鼠标、触摸屏等输入设备接收用户在第一产品输入页面中填写的第一业务信息。
302、配置生成装置获取与第一业务信息相匹配的目标产品配置清单转换公式。
上述目标产品配置清单转换公式用于确定在上述第一业务场景下实现上述至少一个业务功能所需的上述目标产品的数量、上述目标产品的软件配置、上述目标产品的硬件配置中的至少一项。在一些实施例中，配置生成装置存储有第一业务场景下的上述至少一个业务功能与目标产品配置清单转换公式的对应关系，根据该对应关系可获取与上述第一业务信息相匹配的目标产品配置清单转换公式。在一些实施例中，配置生成装置可存储有或者可获得多种业务场景下的任意业务功能，或多种业务功能的组合与产品配置清单转换公式(例如目标产品配置清单转换公式)的对应关系，根据这些对应关系可获取与多种业务信息相匹配的产品配置清单转换公式。图4为本公开实施例提供的一种业务功能与产品配置清单转换公式的对应关系图。如图4所示，第一业务场景下的业务1(即第一业务)对应产品配置清单转换公式1(例如第一产品配置清单转换公式)，第一业务场景下的业务2对应产品配置清单转换公式2，……；第二业务场景下的业务3(即第二业务)对应产品配置清单转换公式3(即第二产品配置清单转换公式)，……。
303、配置生成装置将目标产品配置清单转换公式中第一业务信息和目标产品性能指标对应的参数转换为数字，得到配置清单生成公式。
在一些实施例中，配置生成装置通过动态编译将上述目标产品配置清单转换公式中上述第一业务信息和上述产品性能指标对应的参数转换为数字，得到配置清单生成公式。也就是说，通过动态编译技术将目标产品配置清单转换公式中的参数替换为数字，得到配置清单生成公式。
304、配置生成装置确定上述配置清单生成公式，得到计算结果。
305、配置生成装置根据上述计算结果和目标产品配置清单转换公式关联的目标产品，生成目标产品配置清单。
上述目标产品配置清单包括上述目标产品的数量、上述目标产品的软件配置或上述目标产品硬件配置中的至少一项。举例来说，客户需要垃圾检测功能，准备在小区的门口及垃圾处理站实现这个功能，准备放10路摄像头进行监控；场景输入：是否需要垃圾检测＝是，摄像头＝10路；配置生成装置接收到业务信息之后执行如下操作：1、获取产品配置清单转换公式：(是否需要垃圾检测＝＝是？Math.ceil(垃圾检测摄像头路数/垃圾检测性能指标)/2:0)；2、获取产品性能指标：1张图形处理器(GPU)卡支持解析3路摄像头进行垃圾检测；3、通过动态编译，将产品配置清单转换公式中的参数替换为数字形成计算公式(对应于配置清单生成公式)：(是否需要垃圾检测＝＝是？Math.ceil(10/3)/2:0)；公式确定过程：根据三目运算规则，先确定(是否需要垃圾检测＝＝是)，得出结果是true，因此确定Math.ceil(10/3)/2，如果结果是false则直接等于0；配置清单输出：由于公式关联了2卡垃圾检测服务器产品，因此最终根据公式确定得出，需要2台2卡垃圾检测服务器产品。
306、配置生成装置输出上述目标产品配置清单。
本公开实施例中，配置生成装置可根据业务信息(即场景输入信息)准确、快速地生成产品配置清单。
图2和图3介绍了用户通过配置生成装置生成产品配置清单的方法流程。下面介绍配置生成装置配置产品配置清单转换公式的方法流程。
图5为本公开实施例提供了一种配置产品配置清单转换公式的方法流程图。如图5所示，该方法包括：
501、配置生成装置配置第一产品输入页面和目标产品性能指标。
第一产品输入页面可理解为一个场景化输入表单。在一些实施例中，开发人员(即开发前述实施例中的配置生成方法的人员)根据实际的业务应用场景需求配置第一产品输入页面。例如，城管场景：输入人口数量，业务功能(例如检测打架功能等)，摄像头数量即可。也就是说，开发人员可根据实际的业务应用场景需求配置相应的产品输入页面。实际应用中，开发人员需要根据不同的业务场景设定，配置不同的产品输入页面。第一产品输入页面用于用户填写描述第一业务场景的场景化信息(即场景要素)。目标产品性能指标：基于产品的性能指标设计填写即可，例如：产品支持10种事件检测，支持100个用户同时访问。开发人员可根据业务需求即时调整配置的产品输入页面和产品性能指标。开发人员相比于用户具备更多的关于如何为某业务场景下的业务配置软硬件资源的知识，因此开发人员可根据业务场景配置产品输入页面和产品性能指标。在一些实施例中，配置生成装置还可以更新第一产品输入页面和/或目标产品性能指标。
502、配置生成装置获取目标产品配置清单转换公式。
步骤502一种可能的实现方式如下：配置生成装置接收用户(例如开发人员)通过输入设备输入的目标产品配置清单转换公式。
503、配置生成装置校验目标产品配置清单转换公式是否正确。
若是，执行步骤504；若否，执行步骤505。
应理解，目标产品配置清单转换公式需要满足运算规则，例如：逻辑表达式需要使用＝＝，如果配置成(是否需要人群检测＝是？4路摄像头/人群解析性能指标:0)，则违反运算规则，将提示公式不合法。区别于普通的计算器，配置生成装置配置的各种产品配置清单转换公式的计算结果满足了不同的产品转换需求，例如常见的数学运算符：+-*/％sqrt pow等；比较运算符：><＝＝正则表达式：？:逻辑运算符：&&||！等。
504、配置生成装置保存目标产品配置清单转换公式，并将目标产品配置清单转换公式与目标产品相关联。
在一些实施例中，配置生成装置将目标产品配置清单转换与目标产品相关联可以是：存储目标产品配置清单转换公式与目标产品的关联关系。在一些实施例中，配置生成装置可响应于开发人员的操作，将目标产品配置清单转换公式与目标产品相关联。也就是说，开发人员可根据实际需要配置目标产品配置清单转换公式与目标产品的关联关系。举例来说，某个产品配置清单转换公式关联2卡人群检测服务器产品。由于目标产品配置清单转换公式与目标产品相关联，目标产品是待应用于第一业务场景的产品，因此可理解为根据业务场景关联产品。例如，根据某个场景设定，关联2卡人群检测服务器产品。配置生成装置保存通过合法性校验的目标产品配置清单转换公式，并关联该目标产品配置清单转换公式与目标产品，可以保证通过该目标产品配置清单转换公式的正确性，并保证通过该目标产品配置清单转换公式可以得到产品配置清单。
505、配置生成装置输出提示目标产品配置清单转换公式不合法的提示信息。
本公开实施例中，配置生成装置能够根据不同的业务场景设定，配置不同的产品输入页面，并根据实际情况配置产品性能指标，以便于满足生成不同业务场景下的产品配置清单的需求。
图1和图3介绍了由配置生成装置单独实现配置生成方法的流程。下面介绍由终端设备和配置生成装置(例如服务器)共同实现配置生成方法的流程。
图6为本公开实施例提供的另一种配置生成方法流程图。如图6所示，该方法包括：
601、终端设备接收来自用户的第一业务信息。
上述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，上述第一业务场景为上述至少一个业务功能应用的场景。步骤601一种可能的实现方式如下：接收用户在第一产品输入页面中填写的第一业务信息。举例来说，终端设备登录某个网址之后，打开第一产品输入页面(某个网页)，通过该第一产品输入页面填写第一业务信息。
602、配置生成装置接收来自终端设备的第一业务信息。
配置生成装置可以为服务器。
603、配置生成装置基于第一业务信息和目标产品性能指标，生成目标产品配置清单。
步骤603的实现方式可与步骤102的实现方式相同。
604、配置生成装置向终端设备发送目标产品配置清单。
605、终端设备输出目标产品配置清单。
配置生成装置接收来自终端设备的第一业务信息，并向终端设备发送目标产品配置清单的方法流程，可以理解是为终端设备提供生成产品配置清单的服务。配置生成装置可同时为多个终端设备提供生成产品配置清单的服务，不需要终端设备自己生成产品配置清单。
本公开实施例中，配置生成装置可为多个终端设备提供生成产品配置清单的服务，资源利用率高。
图7为本公开实施例提供的另一种配置生成方法流程图。如图7所示，该方法包括：
701、终端设备接收用户在第一产品输入页面中填写的第一业务信息。
702、配置生成装置接收来自终端设备的第一业务信息。
703、配置生成装置获取与第一业务信息相匹配的目标产品配置清单转换公式。
步骤703的实现方式可与步骤302的实现方式相同。
704、配置生成装置将目标产品配置清单转换公式中第一业务信息和目标产品性能指标对应的参数转换为数字，得到配置清单生成公式。
705、配置生成装置确定上述配置清单生成公式，得到计算结果。
706、配置生成装置根据计算结果和目标产品配置清单转换公式关联的目标产品，生成目标产品配置清单。
707、配置生成装置向终端设备发送目标产品配置清单。
708、终端设备输出目标产品配置清单。
本公开实施例中，配置生成装置可根据业务信息(即场景输入信息)准确、快速地生成产品配置 清单。
前面描述了本公开实施例提供的配置生成装置，下面介绍可本公开实施例提供的配置生成方法的配置生成装置的各部件的功能。图8为本公开实施例提供的一种配置生成装置的结构示意图。如图8所示，配置生成装置可包括：
输入单元801，配置为接收第一业务信息；上述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，上述第一业务场景为上述至少一个业务功能应用的场景；
处理单元802，配置为基于上述第一业务信息和目标产品性能指标，生成目标产品配置清单；上述目标产品性能指标包括在上述第一业务场景下实现上述至少一个业务功能的目标产品的性能指标，上述目标产品配置清单包括上述目标产品的数量、上述目标产品的软件配置和上述目标产品的硬件配置中的至少一项。
在一个可能的实现方式中，处理单元802，配置为获取目标产品配置清单转换公式，上述目标产品配置清单转换公式用于确定在上述第一业务场景下实现上述至少一个业务功能所需的上述目标产品的数量、上述目标产品的软件配置和上述目标产品的硬件配置中的至少一项；基于上述第一业务信息和上述目标产品性能指标，确定上述目标产品配置清单转换公式中的参数，并确定上述目标产品配置清单转换公式，得到计算结果；根据上述计算结果和上述目标产品配置清单转换公式关联的上述目标产品，生成上述目标产品配置清单。
在一个可能的实现方式中，处理单元802，配置为将上述目标产品配置清单转换公式中上述第一业务信息和上述目标产品性能指标对应的参数转换为数字，得到配置清单生成公式；确定上述配置清单生成公式，得到上述计算结果。
在一个可能的实现方式中，上述配置生成装置还包括：输出单元803，配置为响应于输入的用于从多个业务场景中选中上述第一业务场景的指令，显示第一产品输入页面；上述多个业务场景中的每个业务场景对应一个产品输入页面，上述多个业务场景中不同业务场景所对应的产品输入页面不同；输入单元801，具体用于接收在上述第一产品输入页面中输入的上述第一业务信息。
在一个实施例中，配置生成装置为终端设备，输入单元801为输入设备，例如键盘、触摸屏等，输出单元803为输出设备，例如显示器。在一个实施例中，配置生成装置为服务器，输入单元801为发送器，输出单元803为接收器。输入单元801和输出单元803对应于服务器的输入输出接口。
在一个可能的实现方式中，上述第一业务信息包括多个目标业务信息，上述多个目标业务信息中每个目标业务信息包括用于描述目标业务场景和至少一个目标业务功能的目标信息，上述目标业务场景为上述至少一个目标业务功能应用的场景；上述目标产品配置清单包括多个子目标产品配置清单，上述多个子目标产品配置清单中每个子目标产品配置清单包括：至少一个子目标产品的数量、上述至少一个子目标产品的软件配置和上述至少一个子目标产品的硬件配置中的至少一项，上述至少一个子目标产品包含于上述目标产品。
在一个可能的实现方式中，上述目标产品性能指标包括多个子目标产品性能指标，上述子目标产品性能指标包括在上述目标业务场景下实现上述至少一个目标业务功能的子目标产品的性能指标，上述方法还包括：基于上述目标业务信息和上述子目标产品性能指标，生成上述子目标产品配置清单。
在一个可能的实现方式中，处理单元802，还配置为配置上述第一产品输入页面和/或上述目标产品性能指标。
在一个可能的实现方式中，处理单元802，还配置为获得上述目标产品配置清单转换公式；在上述目标产品配置清单转换公式通过合法性校验的情况下，保存上述目标产品配置清单转换公式，并关联上述目标产品配置清单转换公式与上述目标产品。
在一个可能的实现方式中，处理单元802，还配置为获取上述目标产品配置清单转换公式；在上述目标产品配置清单转换公式通过合法性校验的情况下，保存上述目标产品配置清单转换公式，并关联上述目标产品配置清单转换公式与上述目标产品。
在一个可能的实现方式中，处理单元802，还配置为更新上述第一产品输入页面和/或上述目标产品性能指标。
应理解以上配置生成装置的各个单元的划分仅仅是一种逻辑功能的划分，实际实现时可以全部或部分集成到一个物理实体上，也可以物理上分开。例如，以上各个单元可以为单独设立的处理元件，也可以集成同一个芯片中实现，此外，也可以以程序代码的形式存储于控制器的存储元件中，由处理器的某一个处理元件调用并执行以上各个单元的功能。此外各个单元可以集成在一起，也可以独立实现。这里的处理元件可以是一种集成电路芯片，具有信号的处理能力。在实现过程中，上述方法的各步骤或以上各个单元可以通过处理器元件中的硬件的集成逻辑电路或者软件形式的指令完成。该处理 元件可以是通用处理器，例如中央处理器(英文：central processing unit，简称：CPU)，还可以是被配置成实施以上方法的一个或多个集成电路，例如：一个或多个特定集成电路(英文：application-specific integrated circuit，简称：ASIC)，或，一个或多个微处理器(英文：digital signal processor，简称：DSP)，或，一个或者多个现场可编程门阵列(英文：field-programmable gate array，简称：FPGA)等。
图9是本公开实施例提供的一种服务器的结构示意图，该服务器900可因配置或性能不同而产生比较大的差异，可以包括一个或一个以上中央处理器(central processing units，CPU)922(例如，一个或一个以上处理器)和存储器932，一个或一个以上存储应用程序942或数据944的存储介质930(例如一个或一个以上海量存储设备)。其中，存储器932和存储介质930可以是短暂存储或持久存储。存储在存储介质930的程序可以包括一个或一个以上模块(图示没标出)，每个模块可以包括对服务器中的一系列指令操作。在一些实施例中，中央处理器922可以设置为与存储介质930通信，在服务器900上执行存储介质930中的一系列指令操作。服务器900可以为本公开提供的配置生成方法。
服务器900还可以包括一个或一个以上电源926，一个或一个以上有线或无线网络接口950，一个或一个以上输入输出接口958，和/或，一个或一个以上操作系统941，例如：Windows ServerTM，Mac OS XTM，UnixTM，LinuxTM，FreeBSDTM等等。
上述实施例中由配置生成装置所执行的步骤可以基于该图9所示的服务器结构。具体的，中央处理器922可实现图8中的处理单元802的功能，输入输出接口958可实现图8中的输入单元801和输出单元803的功能。
图10为本公开实施例提供的一种终端设备的结构示意图。如图10所示，该终端设备100包括处理器1001、存储器1002、通信接口1003以及输入输出设备1004；该处理器1001、存储器1002和通信接口1003通过总线相互连接。图10中的终端设备可以为前述实施例中的配置生成装置。
存储器1002包括但不限于是随机存储记忆体(random access memory，RAM)、只读存储器(read-only memory，ROM)、可擦除可编程只读存储器(erasable programmableread only memory，EPROM)、或便携式只读存储器(compact disc read-only memory，CDROM)，该存储器1002用于相关指令及数据。通信接口1003用于接收和发送数据。输入输出设备1004可包括键盘、鼠标、触摸屏等输入设备，以及显示器、屏幕等输出设备。用户可通过输入设备向终端设备输入指令，例如第一业务信息等。输出设备可显示第一产品输入页面，以及其他内容。
处理器1001可以是一个或多个中央处理器(central processing unit，CPU)，在处理器1001是一个CPU的情况下，该CPU可以是单核CPU，也可以是多核CPU。上述实施例中由配置生成装置所执行的步骤可以基于该图10所示的终端设备的结构。具体的，输入输出设备1004可实现指令输入单元801、输出单元803的功能；处理器1001可实现处理单元802的功能。
在本公开的实施例中提供一种计算机可读存储介质，上述计算机可读存储介质存储有计算机程序，上述计算机程序被处理器执行时实现前述实施例所提供的配置生成方法。
本公开实施例提供了一种包含指令的计算机程序产品，当其在计算机上运行时，使得计算机执行前述实施例所提供的配置生成方法。
工业实用性
本公开公开了一种配置生成方法、装置、电子设备及存储介质，该方法包括：接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置、所述目标产品的硬件配置中的至少一项。

Claims (11)

  1. 一种配置生成方法，所述方法由配置生成装置执行，其中，所述方法包括：
    接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；
    基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项。
  2. 根据权利要求1所述的方法，其中，所述基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单，包括：
    获取目标产品配置清单转换公式，所述目标产品配置清单转换公式用于确定在所述第一业务场景下实现所述至少一个业务功能所需的所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项；
    基于所述第一业务信息和所述目标产品性能指标，确定所述目标产品配置清单转换公式中的参数，并确定所述目标产品配置清单转换公式，得到计算结果；
    根据所述计算结果和所述目标产品配置清单转换公式关联的所述目标产品，生成所述目标产品配置清单。
  3. 根据权利要求2所述的方法，其中，所述基于所述第一业务信息和所述目标产品性能指标，确定所述目标产品配置清单转换公式中的参数，并确定所述目标产品配置清单转换公式，得到计算结果，包括：
    将所述目标产品配置清单转换公式中所述第一业务信息和所述目标产品性能指标对应的参数转换为数字，得到配置清单生成公式；
    确定所述配置清单生成公式，得到所述计算结果。
  4. 根据权利要求1至3任一项所述的方法，其中，在接收第一业务信息之前，所述方法还包括：
    响应于输入的用于从多个业务场景中选中所述第一业务场景的指令，显示第一产品输入页面；所述多个业务场景中的每个业务场景对应一个产品输入页面，所述多个业务场景中不同业务场景所对应的产品输入页面不同；
    所述接收第一业务信息，包括：
    接收在所述第一产品输入页面中输入的所述第一业务信息。
  5. 根据权利要求1所述的方法，其中，所述第一业务信息包括多个目标业务信息，所述多个目标业务信息中每个目标业务信息包括用于描述目标业务场景和至少一个目标业务功能的目标信息，所述目标业务场景为所述至少一个目标业务功能应用的场景；
    所述目标产品配置清单包括多个子目标产品配置清单，所述多个子目标产品配置清单中每个子目标产品配置清单包括：至少一个子目标产品的数量、所述至少一个子目标产品的软件配置和所述至少一个子目标产品的硬件配置中的至少一项，所述至少一个子目标产品包含于所述目标产品。
  6. 根据权利要求5所述的方法，其中，所述目标产品性能指标包括多个子目标产品性能指标，所述子目标产品性能指标包括在所述目标业务场景下实现所述至少一个目标业务功能的子目标产品的性能指标，所述方法还包括：
    基于所述目标业务信息和所述子目标产品性能指标，生成所述子目标产品配置清单。
  7. 根据权利要求4至6任一项所述的方法，其中，所述方法还包括：
    配置所述第一产品输入页面和/或所述目标产品性能指标。
  8. 根据权利要求2至7任一项所述的方法，其中，所述方法还包括：
    获得所述目标产品配置清单转换公式；
    在所述目标产品配置清单转换公式通过合法性校验的情况下，保存所述目标产品配置清单转换公式，并关联所述目标产品配置清单转换公式与所述目标产品。
  9. 一种配置生成装置，其中，包括：
    输入单元，配置为接收第一业务信息；所述第一业务信息包括用于描述第一业务场景和至少一个业务功能的第一信息，所述第一业务场景为所述至少一个业务功能应用的场景；
    处理单元，配置为基于所述第一业务信息和目标产品性能指标，生成目标产品配置清单；所述目标产品性能指标包括在所述第一业务场景下实现所述至少一个业务功能的目标产品的性能指标，所述目标产品配置清单包括所述目标产品的数量、所述目标产品的软件配置和所述目标产品的硬件配置中的至少一项。
  10. 一种电子设备，其中，包括存储器和处理器，其中，所述存储器用于存储指令，所述处理器用于执行所述存储器存储的指令，使得所述处理器执行如权利要求1至8任一项所述的方法。
  11. 一种计算机可读存储介质，其中，所述计算机可读存储介质中存储有计算机程序，所述计算机程序包括程序指令，所述程序指令当被处理器执行时，使所述处理器执行权利要求1至8任意一项所述的方法。
PCT/CN2021/088928 2020-09-29 2021-04-22 配置生成方法、装置、电子设备及存储介质 WO2022068183A1 (zh)

Priority Applications (3)

Application Number Priority Date Filing Date Title
JP2022524625A JP2022553988A (ja) 2020-09-29 2021-04-22 構成生成方法、装置、電子デバイス及び記憶媒体
KR1020227013792A KR20220070483A (ko) 2020-09-29 2021-04-22 구성 생성 방법, 장치, 전자 기기 및 저장 매체
US17/726,820 US20220245695A1 (en) 2020-09-29 2022-04-22 Configuration generation method and apparatus, and storage medium

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202011049483.6A CN112288231B (zh) 2020-09-29 2020-09-29 人工智能产品的配置生成方法、装置、电子设备及存储介质
CN202011049483.6 2020-09-29

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US17/726,820 Continuation US20220245695A1 (en) 2020-09-29 2022-04-22 Configuration generation method and apparatus, and storage medium

Publications (1)

Publication Number Publication Date
WO2022068183A1 true WO2022068183A1 (zh) 2022-04-07

Family

ID=74421546

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/088928 WO2022068183A1 (zh) 2020-09-29 2021-04-22 配置生成方法、装置、电子设备及存储介质

Country Status (5)

Country Link
US (1) US20220245695A1 (zh)
JP (1) JP2022553988A (zh)
KR (1) KR20220070483A (zh)
CN (1) CN112288231B (zh)
WO (1) WO2022068183A1 (zh)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112288231B (zh) * 2020-09-29 2022-05-31 深圳市商汤科技有限公司 人工智能产品的配置生成方法、装置、电子设备及存储介质
CN113487350A (zh) * 2021-06-30 2021-10-08 北京市商汤科技开发有限公司 业务产品确定方法及相关装置

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130159047A1 (en) * 2011-12-14 2013-06-20 Jochen Mayerle Dynamic business scenario key performance indicator definitions, real time calculations, and analysis
CN108614761A (zh) * 2018-03-16 2018-10-02 重庆邮电大学 基于业务模型的智慧应用系统服务器性能需求计算方法
CN110830759A (zh) * 2018-08-09 2020-02-21 华为技术有限公司 智能应用部署的方法、装置和系统
CN111080243A (zh) * 2019-12-05 2020-04-28 北京百度网讯科技有限公司 业务处理的方法、装置、系统、电子设备及存储介质
CN111666097A (zh) * 2020-06-01 2020-09-15 北京思特奇信息技术股份有限公司 基于业务场景的能力显性化方法和装置
CN112288231A (zh) * 2020-09-29 2021-01-29 深圳市商汤科技有限公司 配置生成方法、装置、电子设备及存储介质

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6889172B2 (en) * 2001-08-15 2005-05-03 National Instruments Corporation Network-based system for configuring a measurement system using software programs generated based on a user specification
US9367360B2 (en) * 2012-01-30 2016-06-14 Microsoft Technology Licensing, Llc Deploying a hardware inventory as a cloud-computing stamp
US10355922B1 (en) * 2014-11-11 2019-07-16 Amazon Technologies, Inc. Automated computing architecture configuration service
US20160182309A1 (en) * 2014-12-22 2016-06-23 Rockwell Automation Technologies, Inc. Cloud-based emulation and modeling for automation systems
US20180097698A1 (en) * 2016-10-05 2018-04-05 Microsoft Technology Licensing, Llc Buildout and teardown of ephemeral infrastructures for dynamic service instance deployments
US10628294B2 (en) * 2017-03-23 2020-04-21 Electronic Arts Inc. Mock services for software infrastructures
CN110750312A (zh) * 2019-10-17 2020-02-04 中科寒武纪科技股份有限公司 硬件资源配置方法、装置、云侧设备和存储介质

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130159047A1 (en) * 2011-12-14 2013-06-20 Jochen Mayerle Dynamic business scenario key performance indicator definitions, real time calculations, and analysis
CN108614761A (zh) * 2018-03-16 2018-10-02 重庆邮电大学 基于业务模型的智慧应用系统服务器性能需求计算方法
CN110830759A (zh) * 2018-08-09 2020-02-21 华为技术有限公司 智能应用部署的方法、装置和系统
CN111080243A (zh) * 2019-12-05 2020-04-28 北京百度网讯科技有限公司 业务处理的方法、装置、系统、电子设备及存储介质
CN111666097A (zh) * 2020-06-01 2020-09-15 北京思特奇信息技术股份有限公司 基于业务场景的能力显性化方法和装置
CN112288231A (zh) * 2020-09-29 2021-01-29 深圳市商汤科技有限公司 配置生成方法、装置、电子设备及存储介质

Also Published As

Publication number Publication date
CN112288231B (zh) 2022-05-31
KR20220070483A (ko) 2022-05-31
JP2022553988A (ja) 2022-12-27
US20220245695A1 (en) 2022-08-04
CN112288231A (zh) 2021-01-29

Similar Documents

Publication Publication Date Title
WO2021184725A1 (zh) 用户界面测试方法、装置、存储介质及计算机设备
WO2022068183A1 (zh) 配置生成方法、装置、电子设备及存储介质
CN109726108B (zh) 基于模拟数据的前端代码测试方法、装置、系统和介质
CN109582967B (zh) 舆情摘要提取方法、装置、设备及计算机可读存储介质
CN111447107A (zh) 网络状态确定方法、装置、存储介质及电子设备
JP2023036681A (ja) タスク処理方法、処理装置、電子機器、記憶媒体及びコンピュータプログラム
JP2021517297A (ja) オートフィルフィールド分類のためのシステムおよび方法
CN111142863A (zh) 一种页面生成的方法及装置
CN114172819B (zh) Nfv网元的需求资源预测方法、系统、电子设备和存储介质
CN116823537A (zh) 一种保险报案处理方法、装置、存储介质及电子设备
CN110245684B (zh) 数据处理方法、电子设备和介质
CN114648323A (zh) 面向业务场景的调用链处理方法、装置及介质
CN108062401B (zh) 应用推荐方法、装置及存储介质
Folino et al. Automatic offloading of mobile applications into the cloud by means of genetic programming
CN114116096B (zh) 一种信息处理方法、装置、设备及存储介质
CN113297479B (zh) 一种用户画像生成方法、装置及电子设备
CN114443990A (zh) 一种url归一化的方法及装置
CN111770510B (zh) 网络体验状态确定方法、装置、存储介质及电子设备
US20210319064A1 (en) Method and apparatus for providing storytelling data
CN112347382A (zh) 产品页面分享方法、装置及电子设备
CN112395520A (zh) 一种应用程序对象的内容数据获取方法、装置、电子设备及存储介质
CN114791996B (zh) 信息处理方法、装置、系统、电子设备及存储介质
CN117494204A (zh) 基于多方计算方法、装置、存储介质、产品及电子设备
CN116010744A (zh) 页面数据处理方法、装置、电子设备及可读存储介质
CN116167821A (zh) 一种虚拟试穿方法、装置、电子设备及存储介质

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 20227013792

Country of ref document: KR

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 2022524625

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21873847

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 03/07/2023)

122 Ep: pct application non-entry in european phase

Ref document number: 21873847

Country of ref document: EP

Kind code of ref document: A1