Product resource value determination method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of software development, in particular to a product resource value determination method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a product demand corresponding to a target product; determining at least two constant value factors corresponding to the target product according to the product demand corresponding to the target product; wherein each fixed value factor comprises at least one grade of candidate product specification and a candidate resource value range corresponding to the at least one grade of candidate product specification; and determining a product resource value of the target product according to the at least two constant value factors and the number of the constant value factors. The flexibility in the process of determining the product resource value is improved, it is guaranteed that when the number of the constant value factors is large, the product resource value of the target product can still be rapidly determined, the labor cost needed in the process of determining the product resource value of the target product is reduced, and the racking efficiency of the target product is improved.

Description

Technical Field

[0001] The present application relates to the field of software development technology, and in particular to a method, device, computer equipment and storage medium for determining a product resource value. Background Art

[0002] Operator packages generally include several products and are sold at fixed prices. Each package has corresponding pricing rules based on different fixed value factors, such as directional traffic packages that differentiate content pricing, off-peak packages that are priced based on busy and off-peak times, and campus packages that are priced based on regions. The number of these mainstream fixed value factors (RG, time period, region, etc.) is limited, and the number of tariff rules generated by selecting a few fixed value factors for permutation and combination will not be too many, which will not affect the efficiency of product listing.

[0003] However, the strategic emerging business system represented by cloud business is huge, with many sub-categories, which can generate thousands of fixed-value factors. If we continue to use the existing tariff configuration model that directly prices according to fixed-value factors, and arrange and combine these fixed-value factors to generate a large number of billing rules, the process of marketers determining product resource values ​​will generate a huge workload, and the efficiency of putting sales products on the shelves will be greatly reduced, affecting the rapid and flexible development of new businesses. Summary of the invention

[0004] Based on this, it is necessary to provide a product resource value determination method, device, computer equipment and storage medium that can quickly determine the product resource value in response to the above technical problems.

[0005] In a first aspect, the present application provides a method for determining a product resource value. The method comprises:

[0006] Obtain product requirements corresponding to the target product;

[0007] According to the product demand corresponding to the target product, at least two fixed value factors corresponding to the target product are determined; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0008] The product resource value of the target product is determined according to at least two valuation factors and the quantity of the valuation factors.

[0009] In one embodiment, determining the product resource value of the target product according to at least two valuation factors and the quantity of valuation factors includes:

[0010] When the number of fixed value factors is greater than a preset number threshold, classifying the at least two fixed value factors to obtain at least two types of factor sets;

[0011] For each factor set, determining the set resource value corresponding to the factor set according to the candidate resource value range corresponding to the candidate product specifications of the fixed value factors included in the factor set;

[0012] The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

[0013] In one embodiment, determining the set resource value corresponding to the factor set according to the candidate resource value range corresponding to the candidate product specifications of the fixed value factors included in the factor set includes:

[0014] Determine the specification value row vector corresponding to the fixed value factor according to the candidate resource value range corresponding to the candidate product specification of the fixed value factor included in the factor set;

[0015] Determine the initial pricing corresponding to the factor set according to the specification value row vector;

[0016] Determine the specification value weights corresponding to the factor set;

[0017] The set resource value corresponding to the factor set is determined according to the initial pricing and the specification value weights.

[0018] In one embodiment, the at least two fixed value factors are classified to obtain at least two sets of factors, including:

[0019] Classifying the at least two fixed-value factors according to their factor characteristics to obtain at least two factor sets;

[0020] The factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics or computing power connection factor characteristics. In one embodiment, the product resource value of the target product is determined based on at least two fixed factors and the number of fixed factors, including:

[0021] When the number of the fixed value factors is not greater than a preset number threshold, configuring a second initial resource value for at least one candidate product specification included in the at least two fixed value factors;

[0022] Building a business resource template for the target product according to the usage business scenario of the target product, the product type of the target product and the parameter design of the target product;

[0023] The product resource value of the target product is determined according to the second initial resource value of the at least one file of candidate product specifications, the business resource template and the product demand.

[0024] In one embodiment, determining the product resource value of the target product according to the business resource template and the product requirement includes:

[0025] Determine the resource value code corresponding to the product requirement in the resource attribute value relationship table corresponding to the business resource template;

[0026] Determine the resource value code corresponding to the reference resource value in the resource value table;

[0027] The product resource value of the target product is obtained by batch pricing the reference resource value.

[0028] In a second aspect, the present application also provides a device for determining a product resource value. The device comprises:

[0029] An acquisition module is used to acquire product requirements corresponding to target products;

[0030] A first determination module is used to determine at least two fixed value factors corresponding to the target product according to the product demand corresponding to the target product; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to the at least one candidate product specification;

[0031] The second determination module is used to determine the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors.

[0032] In a third aspect, the present application further provides a computer device. The computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0033] Obtain product requirements corresponding to the target product;

[0034] According to the product demand corresponding to the target product, at least two fixed value factors corresponding to the target product are determined; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0035] The product resource value of the target product is determined according to at least two valuation factors and the quantity of the valuation factors.

[0036] In a fourth aspect, the present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0037] Obtain product requirements corresponding to the target product;

[0038] According to the product demand corresponding to the target product, at least two fixed value factors corresponding to the target product are determined; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0039] The product resource value of the target product is determined according to at least two valuation factors and the quantity of the valuation factors.

[0040] In a fifth aspect, the present application further provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the following steps are implemented:

[0041] Obtain product requirements corresponding to the target product;

[0042] According to the product demand corresponding to the target product, at least two fixed value factors corresponding to the target product are determined; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0043] The product resource value of the target product is determined according to at least two valuation factors and the quantity of the valuation factors.

[0044] The above-mentioned product resource value determination method, device, computer equipment and storage medium determine at least two fixed value factors corresponding to the target product by obtaining the product demand corresponding to the target product; and then, determine the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors. According to the above content, it can be known that in the process of determining the product resource value of the target product, the present application is not only based on the specific factor content of the fixed value factor, but also considers the number of fixed value factors related to the target product, and then, according to the combination of at least two fixed value factors and the number of fixed value factors, different product resource value determination methods are adopted to determine the product resource value of the target product; the flexibility of the present application in the process of determining the product resource value is improved, and it is ensured that when the number of fixed value factors is large, the product resource value of the target product can still be quickly determined, the labor cost required in the process of determining the product resource value of the target product is reduced, and the target product is put on the shelves. Efficiency; and it is ensured that when the number of fixed value factors is small, the product demand corresponding to the target product can be fully combined, and the specifications of the candidate products corresponding to each fixed value factor are considered, so as to ensure the accuracy and effectiveness of the final determination of the product resource value of the target product. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 An application environment diagram of a method for determining a product resource value provided in an embodiment of the present application;

[0046] Figure 2A schematic diagram of a process for determining a first product resource value provided in an embodiment of the present application;

[0047] Figure 3 A flow chart of a second method for determining a product resource value provided in an embodiment of the present application;

[0048] Figure 4 A schematic diagram of a flow chart of a third method for determining a product resource value provided in an embodiment of the present application;

[0049] Figure 5 A schematic diagram of entity data of a business resource template instance provided in an embodiment of the present application;

[0050] Figure 6 A schematic diagram of a fourth method for determining a product resource value provided in an embodiment of the present application;

[0051] Figure 7 A structural block diagram of a device for determining a product resource value provided in an embodiment of the present application;

[0052] Figure 8 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0054] The product resource value determination method provided in the embodiment of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. By obtaining the product demand corresponding to the target product, at least two fixed factors corresponding to the target product are determined; then, according to at least two fixed factors and the number of fixed factors, the product resource value of the target product is determined. Among them, the terminal 102 can be but is not limited to various personal computers, laptops, smart phones, tablets, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car-mounted devices, etc. Portable wearable devices can be smart watches, smart bracelets, head-mounted devices, etc. The server 104 can be implemented with an independent server or a server cluster consisting of multiple servers.

[0055] In one embodiment, Figure 2 As shown, a method for determining a product resource value is provided, and the method is applied to Figure 1 Taking the server 104 in the example as an example, the following steps are included:

[0056] S201, obtaining product requirements corresponding to a target product.

[0057] Among them, product demand refers to the actual usage needs that users expect the target product to meet when using or purchasing the target product.

[0058] In one embodiment of the present application, a user can pre-set a demand selection template for a target product in a product selection application, wherein the demand selection template records at least one candidate demand corresponding to the target product; the user can select the actual product demand from at least one candidate demand included in the demand selection template of the product selection application through the terminal touch screen; after the terminal obtains the product demand selected by the user, the product demand selected by the user can be transmitted to a server that executes a product resource value determination method through a communication network, so as to implement the step of obtaining the product demand corresponding to the target product.

[0059] S202: Determine at least two fixed value factors corresponding to the target product according to the product demand corresponding to the target product.

[0060] Among them, each constant factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification; the candidate resource value range may include at least one specification value.

[0061] It should be noted that when it is necessary to determine at least two value factors corresponding to the target product, a value factor library for cloud products can be predetermined, wherein the value factor library stores at least one value factor for different products. Then, the value factors are screened in the value factor library to obtain at least two value factors that meet the product requirements corresponding to the target product.

[0062] In one embodiment of the present application, each fixed value factor in the fixed value factor library may include a type label for a product type; further, when it is necessary to determine at least two fixed value factors corresponding to the target product, the product type corresponding to the target product may be determined, and further, the type label of each fixed value factor in the fixed value factor library is traversed and queried according to the product type of the target product to determine the fixed value factors whose type labels are the same as the product type of the target product; and, it is verified whether the fixed value factors whose type labels are the same as the product type of the target product all meet the product requirements corresponding to the target product. If a certain fixed value factor is not related to the product requirements corresponding to the target product, it will be determined that the fixed value factor is not the fixed value factor corresponding to the target product. The fixed value factors finally determined according to the above method are the at least two fixed value factors corresponding to the target product.

[0063] S203: Determine the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors.

[0064] It should be noted that in order to ensure that the labor cost required in determining the product resource value of the target product is reduced and the target product's shelving efficiency is improved, different strategies for determining the product resource value need to be formulated for different numbers of fixed factors, so as to ensure that different resource value determination strategies can be flexibly adopted for different numbers of fixed factors, thereby ensuring the efficiency of determining the product resource value while ensuring the accuracy of determining the product resource value of the target product.

[0065] In one embodiment of the present application, when the number of fixed-value factors is greater than a preset quantity threshold, when it is necessary to determine the product resource value of the target product, at least two fixed-value factors can be classified to obtain at least two types of factor sets; for each factor set, the set resource value corresponding to the factor set is determined based on the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set; and the product resource value of the target product is determined based on the set resource values ​​corresponding to each factor set.

[0066] In one embodiment of the present application, when the number of fixed value factors is not greater than a preset quantity threshold, a second initial resource value can be configured for at least one candidate product specification included in at least two fixed value factors; a business resource template for the target product is constructed based on the business scenario of the target product, the product type of the target product and the parameter design of the target product; and the product resource value of the target product is determined based on the second initial resource value of at least one candidate product specification, the business resource template and the product requirements.

[0067] The above-mentioned method for determining product resource value determines at least two fixed value factors corresponding to the target product by obtaining the product demand corresponding to the target product; and then, according to at least two fixed value factors and the number of fixed value factors, the product resource value of the target product is determined. According to the above content, in the process of determining the product resource value of the target product, the present application is not only based on the specific factor content of the fixed value factor, but also considers the number of fixed value factors related to the target product, and then, according to the combination of at least two fixed value factors and the number of fixed value factors, different product resource value determination methods are adopted to determine the product resource value of the target product; the flexibility of the present application in the process of determining the product resource value is improved, and it is ensured that when the number of fixed value factors is large, the product resource value of the target product can still be quickly determined, the labor cost required in the process of determining the product resource value of the target product is reduced, and the target product is put on the shelves. Efficiency; and it is ensured that when the number of fixed value factors is small, the product demand corresponding to the target product can be fully combined, and the specifications of the candidate products corresponding to each fixed value factor are considered, so as to ensure the accuracy and effectiveness of the final determination of the product resource value of the target product.

[0068] In one embodiment, if Figure 3 As shown, when it is necessary to determine the product resource value of the target product based on at least two fixed value factors and the number of fixed value factors, the following contents may be specifically included:

[0069] S301, when the number of fixed-value factors is greater than a preset number threshold, classify at least two fixed-value factors to obtain at least two types of factor sets.

[0070] The quantity threshold may be set or adjusted according to actual conditions and historical experience of operation and maintenance personnel, and the value range of the quantity threshold is not limited here.

[0071] It should be noted that when it is necessary to classify at least two fixed-value factors to obtain at least two types of factor sets, the following contents may be included: classifying at least two fixed-value factors according to the factor characteristics of the at least two fixed-value factors to obtain at least two types of factor sets.

[0072] Among them, factor characteristics include: basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics and computing power connection factor characteristics. Factor sets may include: basic computing power factor set, algorithm model factor set, computing power security factor set and computing power connection factor set.

[0073] S302 , for each factor set, determining a set resource value corresponding to the factor set according to a candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set.

[0074] It should be noted that when it is necessary to determine the set resource value corresponding to the factor set based on the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors contained in the factor set, the following may be specifically included: determine the specification value row vector corresponding to the fixed-value factors based on the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors contained in the factor set; determine the first initial resource value corresponding to the factor set based on the specification value row vector; determine the specification value weight corresponding to the factor set; determine the set resource value corresponding to the factor set based on the first initial resource value and the specification value weight.

[0075] In one embodiment of the present application, if there are four factor sets in total, the four factor sets are respectively a basic computing power factor set (PFS1), an algorithm model factor set (PFS2), a computing power security factor set (PFS3) and a computing power connection factor set (PFS4);

[0076] PFS=PFS1∪PFS2∪PFS3∪PFS4;

[0077] Among them, a certain fixed value factor in a certain factor set can be expressed as: pf k ;

[0078] Each fixed value factor contains at least one candidate product specification which can be expressed as:

[0079]

[0080] In summary, at least two fixed factors corresponding to the target product A can be expressed as:

[0081] A={pf A1 , pf A2 , ..., pf Ak , ..., pf A|A|};

[0082] Among them, the fixed factor pf of at least two fixed factors corresponding to the target product A Ak The candidate product specifications can be expressed as:

[0083]

[0084] The number of fixed factors of at least two fixed factors corresponding to the target product A can be expressed as:

[0085]

[0086] Furthermore, the four factor sets can be expressed as: A-PFS1, A-PFS2, A-PFS3 and A-PFS4 respectively; the four factor sets satisfy the following relationship:

[0087]

[0088]

[0089] A=A-PFS1∪A-PFS2∪A-PFS3∪A-PFS4;

[0090] Therefore, it can be determined Further limiting, A-PFS k The middle value factor is arranged in order according to the number of values ​​of the candidate product specifications contained in it, from small to large. In addition, the specification values ​​of the candidate product specifications in each value factor are also arranged in order according to the cost, from small to large.

[0091] The number of pricing factors in each category can be counted and recorded as follows:

[0092] |A-PFS1|, |A-PFS2|, |A-PFS3|, |A-PFS4|;

[0093] Furthermore, the candidate resource value range corresponding to each factor set can be expressed as:

[0094] [p kmin , p kmax ](k=1,2,3,4);

[0095] Among them, p kmin The price corresponding to the lowest specification value of all fixed-value factors in the k-th factor set, p kmax The price corresponding to the highest specification value among all fixed-value factors in the k-th factor set.

[0096] According to the candidate resource value range corresponding to each factor set, determine the unit price change caused by the change of the specification value of any fixed factor in the k-th factor set, and record the unit price change as

[0097] p k-unit , (k=1, 2, 3, 4);

[0098] That is:

[0099] Furthermore, when determining the set resource value corresponding to the factor set, the following contents may be included:

[0100] As can be seen from the above, A-PFS has been preset k The fixed value factors are arranged in order from small to large according to the number of specification values ​​they contain, and the specification values ​​in each fixed value factor are also arranged in order from small to large according to the cost. Now use a row vector to represent the specification values ​​in a fixed value factor i, as shown below:

[0101]

[0102] Based on the above settings, for the constant factor A-PFS k , where the row vector of specification values ​​corresponding to the constant factors is as follows:

[0103]

[0104]

[0105]

[0106] To calculate the resource value P of the basic computing power factor set (PFS1) pcomb-1 Take the following as an example to explain the specific method:

[0107] First, the row vector is taken according to the specification according to the following formula to determine the first initial resource value (p1-unit) corresponding to the factor set;

[0108]

[0109] In the confirmation pricing combination pcomb After calculating the weight (w1) of the specification values ​​corresponding to some pricing factors, we can get P pcomb-1 :

[0110] P pcomb-1 =p 1min +w1×p 1-unit ;

[0111] Furthermore, the process of determining the specification value weight (w1) is as follows:

[0112] Known for have

[0113] Therefore, in In the case of

[0114] From i=1 to i=|A-PFS1|, the values ​​corresponding to i′ that satisfy the above conditions are confirmed in sequence and accumulated.

[0115] When i=|A-PFS1|, the accumulated value of i′ is sum(i′), and the formula for calculating the weight of the specification value can be determined as follows:

[0116] w1 = sum(i′) - |A-PFS1|;

[0117] S303: Determine the product resource value of the target product according to the set resource value corresponding to each factor set.

[0118] Assume that the price combination of target product A is:

[0119]

[0120] in, Refers to the specification value of the i-th fixed factor in the k-th factor set in this pricing combination.

[0121] Since the price of the pricing combination is P pcomb The price P calculated by the four types of computing power factors pcomb-k (k=1, 2, 3, 4), therefore, when determining the product resource value of the target product according to the set resource value corresponding to each factor set, the set resource value corresponding to each factor set can be summed up, and the result of the calculation is the product resource value of the target product.

[0122] Specifically, P pcomb =Ppcomb-1 +P pcomb-2 +P pcomb-3 +P pcomb-4 .

[0123] The above-mentioned method for determining product resource values ​​determines at least two types of factor sets, and determines the set resource value corresponding to each factor set according to the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors contained in each factor set, so as to determine the product resource value of the target product according to the set resource value corresponding to each factor set; this ensures that when there are a large number of fixed-value factors, the product resource value of the target product can still be quickly determined, thereby reducing the labor cost required in the process of determining the product resource value of the target product and improving the efficiency of putting the target product on the shelves.

[0124] In one embodiment, if Figure 4 As shown, when it is necessary to determine the product resource value of the target product based on at least two fixed value factors and the number of fixed value factors, the following contents may also be included:

[0125] S401: When the number of valuation factors is not greater than a preset quantity threshold, configure a second initial resource value for at least one candidate product specification included in at least two valuation factors.

[0126] Among them, one target product may include multiple second initial resource values.

[0127] S402: construct a business resource template for the target product according to the usage business scenario of the target product, the product type of the target product and the parameter design of the target product.

[0128] Specifically, when it is necessary to determine a business resource template for a target product, the business resource template for the target product may be constructed in combination with the usage business scenario and parameter design of the target product.

[0129] In one embodiment of the present application, in order to meet the valuation requirements of the target product, the business resource template may include a package period total price type (dynamic pricing) and a package period unit price type (dynamic pricing); so as to allow the billing parameters to be "parameterized" and obtain price information through entities such as sales product instance fees during billing;

[0130] Business resource templates may include but are not limited to the following forms: (1) Multi-attribute package cycle total price type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the total price of the product cycle fee, such as 300 yuan per month for a cloud computer with 2 cores and 4G memory, 350 yuan per month for a 2-core 8G memory, and 420 yuan per month for a 4-core 8G memory. Core parameters: product; first month discount mark; amount (yuan); dynamic attribute total price restriction rules;

[0131] (2) Multi-attribute package cycle unit price type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the unit price of the product cycle fee, such as 0.3 yuan per GB data disk when the "type" of the cloud computer data disk is SAS2, and 0.6 yuan per GB data disk when the "type" is SSD. Core parameters: product; first month conversion identifier; amount (yuan); dynamic attribute unit price restriction rules;

[0132] (3) Multi-attribute package periodic unit price ladder billing (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the periodic unit price of the product. For example, when the cloud host elastic IP "bandwidth type" is standalone and the "resource pool type" is "Mongui", the bandwidth peak of 0-5M is 20 yuan / M / month, and the bandwidth peak of more than 5M is 36 yuan / M / month + basic fee of 100 yuan. Core parameters: product; first month conversion mark; amount (yuan); dynamic attribute unit price ladder restriction rules;

[0133] (4) Multi-attribute combination on-demand duration type (X) yuan / (month / hour / minute / second): Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the on-demand price of the product. 1 core 4G operating system Windows 0.345 yuan / hour, 1 core 2G operating system Linux 0.185 yuan / hour. Core parameters: product; business type; amount (yuan); duration unit; unit price attribute; dynamic attribute total price restriction rules;

[0134] (5) Multi-attribute combination on-demand duration unit price type (X) yuan / (month / hour / minute / second): Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the on-demand unit price of the product, such as cloud host system disk: SAS type disk size, 0.0009 yuan / G / hour. SATA type disk size, 0.0005 yuan / G / hour, unit price attribute is "disk size". Core parameters: product; business type; amount (yuan); duration unit; unit price attribute; dynamic attribute unit price restriction rules;

[0135] (6) Multi-attribute combination on-demand time-based tiered billing (X) yuan / (month / hour / minute / second): Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the on-demand tiered unit price of the product. For example, when the "bandwidth type" of the cloud host elastic IP is standalone and the "resource pool type" is "Mongui", the bandwidth peak of 0-5M is 0.056 yuan / M / hour, and the bandwidth peak of more than 5M is 0.1 yuan / M / hour + basic fee of 0.28 yuan. Core parameters: product; business type; amount (yuan); duration unit; unit price attribute; dynamic attribute unit price tiered restriction rules;

[0136] (7) Multi-attribute package period total price - resource deduction traffic type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the period total price of the product traffic package, such as object storage - public network outflow traffic package, business type "standard - public network outflow traffic" standard storage type, 50GB traffic size is 25 yuan per month, 100GB traffic size is 50 yuan per month; core parameters: product; first month conversion mark; amount (yuan); dynamic attribute total price type restriction rules; business type; business volume reference attribute; traffic unit; resource deduction type

[0137] (8) Multi-attribute package cycle total price - resource deduction storage type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the total cycle fee of the product storage package, such as object storage-single AZ storage capacity package. When the business type is "standard-single AZ" standard storage type, 40GB storage size is 4 yuan per month and 100GB storage size is 10 yuan per month. Core parameters: product; first month conversion identifier; amount (yuan); dynamic attribute total price restriction rules; business type; business volume reference attribute; storage unit; resource deduction type;

[0138] (9) Multi-attribute package cycle total price - resource deduction times type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the total cycle fee of the product times package, such as object storage - request times package. When the business type is "standard type - request times" standard storage type, 100,000 times per month is 0.1 yuan, and 1 million times per month is 1 yuan. Core parameters: product; first month conversion mark; amount (yuan); dynamic attribute total price type restriction rules; business type; business volume reference attribute; times unit; resource deduction type

[0139] (10) Multi-attribute package cycle unit price - resource deduction traffic type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the cycle fee unit price of the product traffic package, such as object storage - retrieval traffic package - low frequency (custom type) optional package, when the business type is "low frequency type - data reading traffic" rule type, 0.0325 yuan per GB per month; core parameters: product; first month conversion identifier; amount (yuan); dynamic attribute unit price restriction rule; business type; unit price attribute; traffic unit; resource deduction type;

[0140] (11) Multi-attribute package cycle unit price - resource deduction storage type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the cycle fee unit price of the product storage package, such as object storage - single AZ storage capacity package - standard (customized) optional package, when the business type is "standard - data storage single AZ", 0.13 yuan per GB per month; core parameters: product; first month conversion identifier; amount (yuan); dynamic attribute unit price type restriction rules; business type; unit price attribute; storage unit; resource deduction type;

[0141] (12) Multi-attribute package period unit price - resource deduction frequency type (X) yuan: Applicable to business scenarios where the combination of multiple attribute values ​​of the target product determines the period unit price of the product frequency package, such as object storage - request frequency package - standard (custom) optional package, when the business type is "standard - request frequency" type, 0.01 yuan per 10,000 times per month; core parameters: product; first month conversion identifier; amount (yuan); dynamic attribute unit price type restriction rules; business type; unit price attribute; frequency unit; resource deduction type.

[0142] As an example, take the multi-attribute package cycle unit price - resource deduction storage type (X) yuan as an example. If a user orders "object storage - storage capacity package - XC standard (customized) optional package" and the custom specification size is 300G, the monthly fee is: 300*0.13=39 yuan. Business resource template instance entity data is as follows Figure 5 shown.

[0143] S403: Determine a product resource value of a target product according to a second initial resource value of at least one candidate product specification, a business resource template, and product requirements.

[0144] It should be noted that when it is necessary to determine the product resource value of the target product based on the second initial resource value of at least one candidate product specification, the business resource template and the product demand, the following may be specifically included: determining the resource value code corresponding to the product demand in the resource attribute value relationship table corresponding to the second initial resource value of at least one candidate product specification and the business resource template; determining the reference price corresponding to the resource value code in the resource value table; and obtaining the product resource value of the target product by performing batch pricing on the reference price.

[0145] Among them, by adding two entity designs, namely the newly added resource value table and the resource attribute value relationship table, the inquiry operation for the target product is realized, ensuring the subsequent smooth determination of the product resource value of the target product.

[0146] Furthermore, parameters such as product resource values ​​will not be instantiated when the tariff template of the target product is configured. This application needs to save the inquiry results of each user for the target product to the target product instance cost table. When pricing, a new pricing reference object is added to read the table to obtain the total price or unit price of the target product instance to determine the product resource value of the target product.

[0147] The above-mentioned method for determining product resource value determines the product resource value of the target product according to the business resource template for the target product when the number of fixed value factors is not greater than the preset quantity threshold, thereby ensuring the accuracy and effectiveness of the final determination of the product resource value of the target product.

[0148] In one embodiment, if Figure 6 As shown, when it is necessary to determine the product resource value of the target product, the following contents may be specifically included:

[0149] S601, obtaining product requirements corresponding to the target product.

[0150] S602, according to the product demand corresponding to the target product, determine at least two fixed value factors corresponding to the target product. If the number of fixed value factors is greater than the preset number threshold, execute step S603; if the number of fixed value factors is not greater than the preset number threshold, execute step S609.

[0151] S603, classify at least two fixed-value factors to obtain at least two types of factor sets.

[0152] S604, for each factor set, according to the candidate resource value ranges corresponding to the candidate product specifications of the fixed-value factors included in the factor set, determine the specification value row vector corresponding to the fixed-value factors.

[0153] S605: Determine a first initial resource value corresponding to the factor set according to the specification value row vector.

[0154] S606, determining the specification value weights corresponding to the factor set.

[0155] S607: Determine the set resource value corresponding to the factor set according to the first initial resource value and the specification value weight.

[0156] S608: Determine the product resource value of the target product according to the set resource value corresponding to each factor set.

[0157] S609, configuring a second initial resource value for at least one candidate product specification included in at least two fixed value factors.

[0158] S610: construct a business resource template for the target product according to the usage business scenario of the target product, the product type of the target product, and the parameter design of the target product.

[0159] S611, determining the resource value code corresponding to the product requirement in the resource attribute value relationship table corresponding to the business resource template.

[0160] S612, determining the reference price corresponding to the resource value code in the resource value table.

[0161] S613, obtaining the product resource value of the target product by performing batch price processing on the reference price.

[0162] The above-mentioned method for determining product resource value determines at least two fixed value factors corresponding to the target product by obtaining the product demand corresponding to the target product; and then, according to at least two fixed value factors and the number of fixed value factors, the product resource value of the target product is determined. According to the above content, in the process of determining the product resource value of the target product, the present application is not only based on the specific factor content of the fixed value factor, but also considers the number of fixed value factors related to the target product, and then, according to the combination of at least two fixed value factors and the number of fixed value factors, different product resource value determination methods are adopted to determine the product resource value of the target product; the flexibility of the present application in the process of determining the product resource value is improved, and it is ensured that when the number of fixed value factors is large, the product resource value of the target product can still be quickly determined, the labor cost required in the process of determining the product resource value of the target product is reduced, and the target product is put on the shelves. Efficiency; and it is ensured that when the number of fixed value factors is small, the product demand corresponding to the target product can be fully combined, and the specifications of the candidate products corresponding to each fixed value factor are considered, so as to ensure the accuracy and effectiveness of the final determination of the product resource value of the target product.

[0163] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0164] Based on the same inventive concept, the embodiment of the present application also provides a product resource value determination device for implementing the product resource value determination method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more product resource value determination device embodiments provided below can refer to the limitations of the product resource value determination method above, and will not be repeated here.

[0165] In one embodiment, Figure 7 As shown, a device for determining a product resource value is provided, comprising: an acquisition module 10, a first determination module 20 and a second determination module 30, wherein:

[0166] The acquisition module 10 is used to acquire product requirements corresponding to the target product.

[0167] The first determination module 20 is used to determine at least two constant factors corresponding to the target product according to the product demand corresponding to the target product; wherein each constant factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification.

[0168] The second determination module 30 is used to determine the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors.

[0169] In one embodiment, when the number of fixed-value factors is greater than a preset number threshold, at least two fixed-value factors are classified to obtain at least two sets of factors;

[0170] For each factor set, according to the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set, determine the set resource value corresponding to the factor set;

[0171] The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

[0172] In one embodiment, according to the candidate resource value range corresponding to the candidate product specification of the fixed value factor included in the factor set, the specification value row vector corresponding to the fixed value factor is determined;

[0173] Determine a first initial resource value corresponding to the factor set according to the specification value row vector;

[0174] Determine the specification value weights corresponding to the factor set;

[0175] According to the first initial resource value and the specification value weight, a set resource value corresponding to the factor set is determined.

[0176] In one embodiment, at least two fixed-value factors are classified according to their factor characteristics to obtain at least two sets of factors;

[0177] The factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power safety factor characteristics or computing power connection factor characteristics. In one embodiment, when the number of fixed value factors is not greater than a preset number threshold, a second initial resource value is configured for at least one tier of candidate product specifications included in at least two fixed value factors;

[0178] Build business resource templates for target products based on the target product's usage business scenarios, product types, and parameter designs;

[0179] Determine the product resource value of the target product based on the second initial resource value of at least one candidate product specification, the business resource template and the product requirements

[0180] In one embodiment, in a resource attribute value relationship table corresponding to a business resource template, a resource value code corresponding to a product requirement is determined;

[0181] Determine the resource value code corresponding to the reference price in the resource value table;

[0182] The product resource value of the target product is obtained by batch pricing the reference price.

[0183] The above-mentioned product resource value determination device determines at least two fixed value factors corresponding to the target product by obtaining the product demand corresponding to the target product; and then, according to the at least two fixed value factors and the number of fixed value factors, the product resource value of the target product is determined. According to the above content, it can be known that in the process of determining the product resource value of the target product, the present application is not only based on the specific factor content of the fixed value factor, but also considers the number of fixed value factors related to the target product, and then, according to the combination of at least two fixed value factors and the number of fixed value factors, different product resource value determination methods are adopted to determine the product resource value of the target product; the flexibility of the present application in the process of determining the product resource value is improved, and it is ensured that when the number of fixed value factors is large, the product resource value of the target product can still be quickly determined, the labor cost required in the process of determining the product resource value of the target product is reduced, and the target product is put on the shelves. Efficiency; and it is ensured that when the number of fixed value factors is small, the product demand corresponding to the target product can be fully combined, and the specifications of the candidate products corresponding to each fixed value factor are considered, so as to ensure the accuracy and effectiveness of the final determination of the product resource value of the target product.

[0184] Each module in the above-mentioned product resource value determination device can be implemented in whole or in part by software, hardware, or a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0185] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 8 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be implemented through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a method for determining a product resource value is implemented. The display unit of the computer device is used to form a visually visible picture, which can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer device can be a touch layer covering the display screen, or a button, trackball or touchpad set on the computer device shell, or an external keyboard, touchpad or mouse.

[0186] Those skilled in the art will understand that Figure 8 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0187] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the following steps are implemented:

[0188] Obtain product requirements corresponding to the target product;

[0189] Determine at least two constant factors corresponding to the target product according to the product demand corresponding to the target product; wherein each constant factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0190] A product resource value of a target product is determined based on at least two valuation factors and the quantity of the valuation factors.

[0191] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0192] When the number of fixed-value factors is greater than a preset number threshold, classifying at least two fixed-value factors to obtain at least two sets of factors;

[0193] For each factor set, according to the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set, determine the set resource value corresponding to the factor set;

[0194] The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

[0195] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0196] According to the candidate resource value ranges corresponding to the candidate product specifications of the fixed value factors contained in the factor set, the specification value row vector corresponding to the fixed value factors is determined;

[0197] Determine a first initial resource value corresponding to the factor set according to the specification value row vector;

[0198] Determine the specification value weights corresponding to the factor set;

[0199] According to the first initial resource value and the specification value weight, a set resource value corresponding to the factor set is determined.

[0200] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0201] According to the factor characteristics of the at least two fixed-value factors, the at least two fixed-value factors are classified to obtain at least two types of factor sets;

[0202] The factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics or computing power connection factor characteristics. In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0203] When the number of the fixed value factors is not greater than the preset number threshold, configuring a second initial resource value for at least one candidate product specification included in at least two fixed value factors;

[0204] Build business resource templates for target products based on the target product's usage business scenarios, product types, and parameter designs;

[0205] Determine the product resource value of the target product based on the second initial resource value of at least one candidate product specification, the business resource template and the product requirements

[0206] In one embodiment, when the processor executes the computer program, the following steps are also implemented:

[0207] In the resource attribute value relationship table corresponding to the business resource template, determine the resource value code corresponding to the product requirement;

[0208] Determine the resource value code corresponding to the reference price in the resource value table;

[0209] The product resource value of the target product is obtained by batch pricing the reference price.

[0210] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0211] Obtain product requirements corresponding to the target product;

[0212] Determine at least two constant factors corresponding to the target product according to the product demand corresponding to the target product; wherein each constant factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0213] A product resource value of a target product is determined based on at least two valuation factors and the quantity of the valuation factors.

[0214] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0215] When the number of fixed-value factors is greater than a preset number threshold, classifying at least two fixed-value factors to obtain at least two sets of factors;

[0216] For each factor set, according to the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set, determine the set resource value corresponding to the factor set;

[0217] The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

[0218] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0219] According to the candidate resource value ranges corresponding to the candidate product specifications of the fixed value factors contained in the factor set, the specification value row vector corresponding to the fixed value factors is determined;

[0220] Determine a first initial resource value corresponding to the factor set according to the specification value row vector;

[0221] Determine the specification value weights corresponding to the factor set;

[0222] According to the first initial resource value and the specification value weight, a set resource value corresponding to the factor set is determined.

[0223] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0224] According to the factor characteristics of the at least two fixed-value factors, the at least two fixed-value factors are classified to obtain at least two types of factor sets;

[0225] The factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics or computing power connection factor characteristics. In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0226] When the number of the fixed value factors is not greater than the preset number threshold, configuring a second initial resource value for at least one candidate product specification included in at least two fixed value factors;

[0227] Build business resource templates for target products based on the target product's usage business scenarios, product types, and parameter designs;

[0228] Determine the product resource value of the target product based on the second initial resource value of at least one candidate product specification, the business resource template and the product requirements

[0229] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0230] In the resource attribute value relationship table corresponding to the business resource template, determine the resource value code corresponding to the product requirement;

[0231] Determine the resource value code corresponding to the reference price in the resource value table;

[0232] The product resource value of the target product is obtained by batch pricing the reference price.

[0233] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the following steps:

[0234] Obtain product requirements corresponding to the target product;

[0235] Determine at least two constant factors corresponding to the target product according to the product demand corresponding to the target product; wherein each constant factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification;

[0236] A product resource value of a target product is determined based on at least two valuation factors and the quantity of the valuation factors.

[0237] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0238] When the number of fixed-value factors is greater than a preset number threshold, classifying at least two fixed-value factors to obtain at least two sets of factors;

[0239] For each factor set, according to the candidate resource value range corresponding to the candidate product specifications of the fixed-value factors included in the factor set, determine the set resource value corresponding to the factor set;

[0240] The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

[0241] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0242] According to the candidate resource value ranges corresponding to the candidate product specifications of the fixed value factors contained in the factor set, the specification value row vector corresponding to the fixed value factors is determined;

[0243] Determine a first initial resource value corresponding to the factor set according to the specification value row vector;

[0244] Determine the specification value weights corresponding to the factor set;

[0245] According to the first initial resource value and the specification value weight, a set resource value corresponding to the factor set is determined.

[0246] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0247] According to the factor characteristics of the at least two fixed-value factors, the at least two fixed-value factors are classified to obtain at least two types of factor sets;

[0248] The factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics or computing power connection factor characteristics. In one embodiment, when the computer program is executed by the processor, the following steps are also implemented:

[0249] When the number of the fixed value factors is not greater than the preset number threshold, configuring a second initial resource value for at least one candidate product specification included in at least two fixed value factors;

[0250] Build business resource templates for target products based on the target product's usage business scenarios, product types, and parameter designs;

[0251] Determine the product resource value of the target product based on the second initial resource value of at least one candidate product specification, the business resource template and the product requirements

[0252] In one embodiment, when the computer program is executed by a processor, the following steps are also implemented:

[0253] In the resource attribute value relationship table corresponding to the business resource template, determine the resource value code corresponding to the product requirement;

[0254] Determine the resource value code corresponding to the reference price in the resource value table;

[0255] The product resource value of the target product is obtained by batch pricing the reference price.

[0256] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0257] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited thereto. The processors involved in each embodiment provided in this application may be general-purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, data processing logic devices based on quantum computing, etc., but are not limited thereto.

[0258] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0259] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for determining a product resource value, characterized in that: The method comprises: Obtain product requirements corresponding to the target product; According to the product demand corresponding to the target product, at least two fixed value factors corresponding to the target product are determined; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to at least one candidate product specification; The product resource value of the target product is determined according to at least two valuation factors and the quantity of the valuation factors.

2. The method according to claim 1, characterized in that The determining the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors includes: When the number of fixed value factors is greater than a preset number threshold, classifying the at least two fixed value factors to obtain at least two types of factor sets; For each factor set, determining the set resource value corresponding to the factor set according to the candidate resource value range corresponding to the candidate product specifications of the fixed value factors included in the factor set; The product resource value of the target product is determined according to the set resource value corresponding to each factor set.

3. The method according to claim 2, characterized in that The determining, according to the candidate resource value range corresponding to the candidate product specifications of the fixed value factors included in the factor set, the set resource value corresponding to the factor set includes: Determine the specification value row vector corresponding to the fixed value factor according to the candidate resource value range corresponding to the candidate product specification of the fixed value factor included in the factor set; Determining a first initial resource value corresponding to the factor set according to the specification value row vector; Determine the specification value weights corresponding to the factor set; The set resource value corresponding to the factor set is determined according to the first initial resource value and the specification value weight.

4. The method according to claim 3, characterized in that The at least two fixed value factors are classified to obtain at least two sets of factors, including: Classifying the at least two fixed-value factors according to their factor characteristics to obtain at least two factor sets; Among them, the factor characteristics include basic computing power factor characteristics, algorithm model factor characteristics, computing power security factor characteristics or computing power connection factor characteristics.

5. The method according to claim 1, characterized in that The determining the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors includes: When the number of the fixed value factors is not greater than a preset number threshold, configuring a second initial resource value for at least one candidate product specification included in the at least two fixed value factors; Building a business resource template for the target product according to the usage business scenario of the target product, the product type of the target product and the parameter design of the target product; The product resource value of the target product is determined according to the second initial resource value of the at least one file of candidate product specifications, the business resource template and the product demand.

6. The method according to claim 5, characterized in that The determining the product resource value of the target product according to the business resource template and the product requirement includes: Determine the resource value code corresponding to the product requirement in the resource attribute value relationship table corresponding to the business resource template; Determine the resource value code corresponding to the reference resource value in the resource value table; The product resource value of the target product is obtained by performing batch pricing processing on the reference resource value.

7. A device for determining a product resource value, characterized in that: The device comprises: An acquisition module is used to acquire product requirements corresponding to target products; A first determination module is used to determine at least two fixed value factors corresponding to the target product according to the product demand corresponding to the target product; wherein each fixed value factor includes at least one candidate product specification and a candidate resource value range corresponding to the at least one candidate product specification; The second determination module is used to determine the product resource value of the target product according to at least two fixed value factors and the number of fixed value factors.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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