Resource configuration method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the technical field of data processing, and provides a resource configuration method and device, electronic equipment and a readable storage medium. The method comprises the following steps: acquiring attribute data corresponding to a to-be-processed object and acquisition data corresponding to the to-be-processed object; determining reference data corresponding to the to-be-processed object according to the attribute data and the collection data; performing logic matching processing on the attribute data based on the reference data to obtain an indirect configuration total amount; performing category standardization processing on the acquired data and the reference data to obtain a total category resource allocation amount; performing structure analysis processing on the reference data to obtain a main body resource configuration total amount; performing affiliated resource standardization processing on the acquired data and the reference data to obtain an affiliated resource configuration total amount; and determining a target resource configuration list corresponding to the to-be-processed object according to the indirect configuration total amount, the category resource configuration total amount, the main body resource configuration total amount and the accessory resource configuration total amount, and sending the target resource configuration list to target terminal equipment for display.

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a resource configuration method, device, electronic device and readable storage medium. Background Art

[0002] Traditional resource allocation methods mainly rely on manual experience and historical data, and determine resource allocation plans through statistics and analysis. However, traditional resource allocation ignores the personalized attribute data and real-time collection data of the objects to be processed, resulting in a lack of pertinence and flexibility in resource allocation. Due to the failure to make full use of key data, resource allocation plans often fail to accurately reflect actual business needs, resulting in unreasonable resource allocation and inefficiency. In the prior art, data analysis tools can usually be introduced to mine and analyze business data to assist decision-making. However, most of these solutions stay on the surface of the data and fail to deeply explore the inherent connections and potential laws between the data. In addition, when processing complex and multi-dimensional data, they are often unable to do so, resulting in limited accuracy and efficiency of resource allocation. In addition, the existing resource allocation lacks systematic and standardized processing of different types of resources. In the process of resource allocation, various types of resources are often viewed in isolation, lacking unified classification and standardized processing standards. This not only increases the complexity and uncertainty of resource allocation, but also may lead to conflicts and waste between resources.

[0003] This shows that the existing technology lacks the ability to deeply explore the intrinsic connections and potential patterns of data, resulting in poor targeting and low accuracy of resource allocation plans. Summary of the invention

[0004] In view of this, the embodiments of the present disclosure provide a resource configuration method, device, electronic device and readable storage medium to solve the problem in the prior art that the resource configuration scheme has poor targeting and low accuracy due to the lack of ability to deeply explore the intrinsic connections and potential laws of data.

[0005] In a first aspect of an embodiment of the present disclosure, a resource configuration method is provided, including: obtaining attribute data corresponding to an object to be processed and collected data corresponding to the object to be processed; determining benchmark data corresponding to the object to be processed based on the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed; performing logical matching processing on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed to obtain the total amount of indirect configuration corresponding to the object to be processed; performing category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed; performing structural analysis processing on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed; performing subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed; determining a target resource configuration list corresponding to the object to be processed based on the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed, and sending the target resource configuration list corresponding to the object to be processed to a target terminal device for display.

[0006] According to a second aspect of the disclosed embodiments, a resource configuration device is provided, including: an acquisition module, configured to acquire attribute data corresponding to an object to be processed and collected data corresponding to the object to be processed; a first determination module, configured to determine reference data corresponding to the object to be processed based on the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed; a first processing module, configured to perform logical matching processing on the attribute data corresponding to the object to be processed based on the reference data corresponding to the object to be processed, so as to obtain the total amount of indirect configuration corresponding to the object to be processed; a second processing module, configured to perform category standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed, so as to obtain the total amount of category resource configuration corresponding to the object to be processed; and a third processing module, configured to perform category standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed, so as to obtain the total amount of category resource configuration corresponding to the object to be processed. A processing module is used to perform structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed; a fourth processing module is used to perform subsidiary resource standardization on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed; a second determination module is used to determine the target resource configuration list corresponding to the object to be processed based on the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed, and send the target resource configuration list corresponding to the object to be processed to the target terminal device for display.

[0007] According to a third aspect of an embodiment of the present disclosure, an electronic device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0008] According to a fourth aspect of an embodiment of the present disclosure, a readable storage medium is provided, which stores a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0009] Compared with the prior art, the embodiments of the present disclosure have the following beneficial effects: by acquiring the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, the benchmark data corresponding to the object to be processed can be determined according to the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, and logical matching is performed on the attribute data corresponding to the object to be processed based on the benchmark data to obtain the total amount of indirect configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to category standardization processing to obtain the total amount of category resource configuration corresponding to the object to be processed, and the benchmark data corresponding to the object to be processed can be analyzed by sub-structure to obtain the total amount of main resource configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to subsidiary resource standardization processing Processing is performed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed, and the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed are merged to obtain a target resource configuration list corresponding to the object to be processed, and then the target resource configuration list corresponding to the object to be processed can be sent to the target terminal device for display, so as to perform logical matching processing based on the benchmark data, improve the accuracy of resource configuration, and perform multi-level and multi-dimensional processing on the collected data and benchmark data of the object to be processed through category standardization processing, structure analysis processing and subsidiary resource standardization processing, optimize the resource configuration structure, improve resource allocation efficiency, enhance the flexibility of resource allocation, and strengthen the pertinence of the data of concern. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present disclosure. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0011] Figure 1 is a schematic diagram of an application scenario of an embodiment of the present disclosure;

[0012] Figure 2 It is a flowchart of a resource configuration method provided by an embodiment of the present disclosure;

[0013] Figure 3 is a structural diagram of a resource configuration device provided by an embodiment of the present disclosure;

[0014] Figure 4 It is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0015] In the following description, specific details such as specific system structures and technologies are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present disclosure. However, it should be clear to those skilled in the art that the present disclosure may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obstructing the description of the present disclosure with unnecessary details.

[0016] It should be noted that the user information (including but not limited to terminal device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this disclosure are all information and data authorized by the user or fully authorized by all parties.

[0017] A resource configuration method and device according to an embodiment of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0018] Figure 1 Schematic diagram of an application scenario of an embodiment of the present disclosure. The application scenario may include terminal devices 1, 2 and 3, a server 4 and a network 5.

[0019] Terminal devices 1, 2 and 3 can be hardware or software. When terminal devices 1, 2 and 3 are hardware, they can be various electronic devices with display screens and supporting communication with server 4, including but not limited to smart phones, tablet computers, laptop portable computers and desktop computers, etc.; when terminal devices 1, 2 and 3 are software, they can be installed in the above electronic devices. Terminal devices 1, 2 and 3 can be implemented as multiple software or software modules, or as a single software or software module, and the embodiments of the present disclosure are not limited to this. Furthermore, various applications can be installed on terminal devices 1, 2 and 3, such as data processing applications, instant messaging tools, social platform software, search applications, shopping applications, etc.

[0020] The server 4 may be a server that provides various services, for example, a background server that receives a request sent by a terminal device that establishes a communication connection with the server, and the background server may receive and analyze the request sent by the terminal device, and generate a processing result. The server 4 may be a single server, or a server cluster composed of several servers, or a cloud computing service center, which is not limited in the embodiments of the present disclosure.

[0021] It should be noted that the server 4 can be hardware or software. When the server 4 is hardware, it can be various electronic devices that provide various services for the terminal devices 1, 2, and 3. When the server 4 is software, it can be multiple software or software modules that provide various services for the terminal devices 1, 2, and 3, or it can be a single software or software module that provides various services for the terminal devices 1, 2, and 3, and the embodiments of the present disclosure are not limited to this.

[0022] The network 5 can be a wired network connected by coaxial cable, twisted pair and optical fiber, or it can be a wireless network that can interconnect various communication devices without wiring, such as Bluetooth, Near Field Communication (NFC), infrared, etc., which is not limited in the embodiments of the present disclosure.

[0023] The user can establish a communication connection with the server 4 via the network 5 through the terminal devices 1, 2 and 3 to receive or send information, etc. Specifically, the server 4 can obtain the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed through the terminal devices 1, 2 and 3, and then determine the benchmark data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, and perform logical matching on the attribute data corresponding to the object to be processed based on the benchmark data to obtain the total amount of indirect configuration corresponding to the object to be processed, and perform category standardization processing on the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed, and then perform structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed, perform subsidiary resource standardization processing on the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed, and merge the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed to obtain a target resource configuration list corresponding to the object to be processed, and then send the target resource configuration list corresponding to the object to be processed to the target terminal device for display.

[0024] It should be noted that the specific types, quantities and combinations of the terminal devices 1, 2 and 3, the server 4 and the network 5 can be adjusted according to the actual needs of the application scenario, and the embodiments of the present disclosure are not limited to this.

[0025] Figure 2 It is a flowchart of a resource configuration method provided by an embodiment of the present disclosure. Figure 2 The resource configuration method can be Figure 1 The server executes. Figure 2 As shown, the resource configuration method includes:

[0026] Step 201: Acquire attribute data corresponding to the object to be processed and acquisition data corresponding to the object to be processed.

[0027] Specifically, the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed can be retrieved and obtained from the relevant data storage device through data interface or database access, which is not limited here, thereby enhancing the accuracy of resource allocation and improving the efficiency of resource planning.

[0028] Among them, the object to be processed may be an entity that requires resource allocation or management, including but not limited to a construction project or a decoration project; the attribute data corresponding to the object to be processed may be information used to characterize the inherent attributes or standard configuration of the object to be processed, including but not limited to data related to building configuration standards or basic configuration resource data of decoration projects; the collected data corresponding to the object to be processed may be data obtained through actual measurement, recording, or monitoring, etc., which is not limited here. The collected data can be used to characterize the state or consumption of the object to be processed in actual operation or operation, that is, the resource consumption data actually measured.

[0029] For example, if a construction project is estimating resource consumption, data related to the project's building configuration standards can be obtained, such as the amount of paint required per square meter of wall and the number of tiles required per square meter of floor. The data obtained constitutes the attribute data of the object to be processed. Then, the actual measured resource consumption data can be read from the monitoring system of the construction site, such as the total amount of paint used, the area of ​​tiles laid, etc., which is the collected data of the object to be processed.

[0030] Step 202: Determine the reference data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed.

[0031] Specifically, the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed can be mapped to the benchmark value that best matches or is closest to the current project through the pre-configured sub-item data, and the benchmark data corresponding to the object to be processed can be determined, thereby enhancing the targeted nature of resource allocation, improving the accuracy of resource estimation, and improving the level of refinement of resource management.

[0032] Among them, the benchmark data corresponding to the object to be processed can be data obtained by pre-configured sub-item data mapping or matching based on the attribute data and collected data of the object to be processed. The benchmark data corresponding to the object to be processed can be used to characterize the standard or reference value data of the object to be processed, including but not limited to data pre-set based on historical project data, industry standards, or expert experience, which is used to characterize the average level or optimal level of resource consumption of similar projects.

[0033] For example, in a construction project, the project's attribute data, such as building type, scale, design standards, etc., and the project's collected data, such as completed work volume, resource consumption, etc., can be mapped from pre-configured sub-item data to the benchmark value that best matches the project. For example, resource consumption data of similar projects can be retrieved from the historical project database based on the project's building type and scale, and then the benchmark resource consumption of the project can be calculated based on the resource consumption data of similar projects.

[0034] Step 203 , performing logic matching processing on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed, and obtaining the total amount of indirect configuration corresponding to the object to be processed.

[0035] Specifically, logical matching processing can be performed on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed to obtain the total indirect configuration amount corresponding to the object to be processed, wherein the logical matching processing includes but is not limited to processing steps such as comparison, screening, and / or calculation, thereby enhancing the accuracy of resource allocation, improving the efficiency of resource estimation, and enhancing the overall level of project management.

[0036] Among them, the total amount of indirect configuration corresponding to the object to be processed can be data obtained by comparing, screening, and / or matching the benchmark data corresponding to the object to be processed based on the attribute data corresponding to the object to be processed. The total amount of indirect configuration corresponding to the object to be processed can be used to characterize the total amount indicator of resource allocation, that is, it can be used to evaluate the resource requirements of the project or formulate a resource allocation plan, etc., which is not limited here.

[0037] For example, in a construction project, the actual measured data of the project can be matched with the preset building configuration standard related data, and then the benchmark value of the corresponding project can be mapped in the pre-configured sub-item data, such as the benchmark consumption of labor, materials, and equipment required per square meter of building area. The total amount of indirect configuration required for the project, such as the total labor hours, material consumption, and / or equipment quantity, can be calculated through logical matching processing.

[0038] Step 204 , performing category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed, to obtain the total amount of category resource configuration corresponding to the object to be processed.

[0039] Specifically, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be identified and classified, and the data types and attributes corresponding to the collected data and the benchmark data can be obtained respectively. Then, the collected data and the benchmark data can be processed according to category standards, including but not limited to data unit conversion, data format adjustment, and data range normalization, etc., to obtain the total amount of category resource allocation corresponding to the object to be processed, thereby enhancing the comparability and consistency of the data, improving the accuracy and flexibility of resource allocation, and improving the efficiency and effectiveness of resource management of construction projects.

[0040] Among them, the total amount of category resource configuration corresponding to the object to be processed can be the collected data and benchmark data for category standardization, and the indicators obtained by classification, aggregation and calculation. The total amount of category resource configuration corresponding to the object to be processed can be used to characterize the total amount indicators required to be configured on various types of resources for the object to be processed.

[0041] For example, in a construction project, the collected data obtained through actual measurement, such as material consumption at different construction stages and locations, and labor hours, can be standardized with the preset building configuration standard-related data. For example, the consumption of all materials can be converted into the same unit, such as kilograms or cubic meters, and all labor hours can be converted into the same labor hour standard, such as hours or working days. The data can also be formatted and scoped, and then classified, summarized and calculated according to resource types, such as materials, labor, equipment, etc., to obtain the total configuration of the project on different categories of resources.

[0042] Step 205 , performing structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed.

[0043] Specifically, the benchmark data corresponding to the object to be processed can be subjected to structural analysis processing, and the structural analysis processing may include analyzing the constituent elements, hierarchical structure, and the relationship between the elements of the benchmark data, which are not limited here. Then, the total amount of the main resource allocation corresponding to the object to be processed can be calculated by weighting or aggregation, which is not limited here. This enhances the sophistication and pertinence of resource allocation, improves the scientificity and rationality of resource allocation, and improves the efficiency and benefits of project resource management.

[0044] Among them, the total amount of subject resource configuration corresponding to the object to be processed can be an indicator obtained by calculation based on the structural analysis processing of the benchmark data of the object to be processed. The total amount of subject resource configuration corresponding to the object to be processed can be used to characterize the total amount indicator required to be configured on the subject resources of the object to be processed.

[0045] For example, in a construction project, the benchmark data corresponding to the project can be subjected to structural analysis. For a high-rise residential building project, the benchmark data may include the consumption of building materials, equipment configuration standards, and man-hours for different floors and parts. Structural analysis can be used to determine the materials, equipment, and manpower corresponding to the main resources of the project, as well as their specific requirements and configuration standards in the project.

[0046] Step 206 , performing subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed, to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed.

[0047] Specifically, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to standardized processing of subsidiary resources. The standardized processing process can include identifying and classifying subsidiary resources. The subsidiary resources include but are not limited to auxiliary materials, small equipment, and / or temporary facilities, etc. The consumption or configuration standards of the subsidiary resources can be unified or standardized, including but not limited to converting units, adjusting formats, and / or normalizing ranges, etc., and then the total amount of subsidiary resource configuration corresponding to the object to be processed can be obtained by calculation, thereby enhancing the comprehensiveness and accuracy of resource allocation, improving the precision and operability of resource estimation, and improving the overall level of project resource management.

[0048] Among them, the total amount of subsidiary resource configuration corresponding to the object to be processed can be the subsidiary resource standardization processing based on the collected data and benchmark data of the object to be processed. The indicator obtained by calculation can be used to characterize the total amount indicator required to configure the subsidiary resources of the object to be processed.

[0049] For example, in a construction project, the ancillary resource part of the actual measured collected data and the preset building configuration standard related data can be standardized. For example, for a large commercial complex project, the ancillary resources may include various auxiliary materials, such as glue, screws, etc., small equipment, such as handheld power tools, measuring instruments, etc., and temporary facilities, such as construction fences, temporary warehouses, etc. The consumption or configuration standards of the ancillary resources can be unified and standardized by identifying and classifying the ancillary resources, converting the consumption of all auxiliary materials into the same unit, and adjusting the configuration standards of all small equipment to the same specification or model, and normalizing the use area or quantity of temporary facilities. Then, these standardized ancillary resource consumption or configuration standards can be classified, summarized and calculated to obtain the total configuration amount of the project on ancillary resources, such as the total consumption of auxiliary materials, the total configuration quantity of small equipment, and the total use area or quantity of temporary facilities.

[0050] Step 207, based on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, determine the target resource configuration list corresponding to the object to be processed, and send the target resource configuration list corresponding to the object to be processed to the target terminal device for display.

[0051] Specifically, the total amount of indirect configuration, total amount of category resource configuration, total amount of main resource configuration, and total amount of subsidiary resource configuration corresponding to the object to be processed can be integrated and summarized to obtain a target resource configuration list corresponding to the object to be processed. The target resource configuration list corresponding to the object to be processed can be used to characterize the various resource types and their configuration quantities or consumption required for the project, and then the target resource configuration list corresponding to the object to be processed can be sent to the target terminal device through a data interface or network transmission, etc., which is not limited here, so that it can be displayed and shared, thereby enhancing the transparency and traceability of resource configuration, improving the understanding and mastery of resource configuration, and improving the collaborative efficiency and decision-making level of project resource management.

[0052] Among them, the target resource configuration list corresponding to the object to be processed can be a list obtained by integration and aggregation based on the total amount of each type of resource configuration. The target resource configuration list corresponding to the object to be processed lists the various resource types required for the project and their configuration quantities or consumption.

[0053] The target terminal device may be a device for receiving and displaying the target resource configuration list corresponding to the object to be processed. The target terminal device may be a mobile device such as a smart phone or tablet computer of a project manager or relevant management personnel, or a fixed device such as a computer terminal at a construction site, which is not limited here. The target terminal device may be connected to the resource configuration system through a data interface or network transmission, and may receive and display the latest resource configuration information in real time.

[0054] For example, in a construction project, a target resource configuration list is determined based on the processed consumption of various resources, and the target resource configuration list can be sent to a target terminal device such as a project manager's smartphone or a computer terminal at the construction site through a data interface or network transmission.

[0055] According to the technical solution provided by the embodiment of the present disclosure, by acquiring the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, the benchmark data corresponding to the object to be processed can be determined according to the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, and logical matching is performed on the attribute data corresponding to the object to be processed based on the benchmark data to obtain the total amount of indirect configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to category standardization processing to obtain the total amount of category resource configuration corresponding to the object to be processed, and then the benchmark data corresponding to the object to be processed can be analyzed by sub-structure to obtain the total amount of main resource configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to subsidiary resource standardization processing, The total amount of subsidiary resource configuration corresponding to the object to be processed is obtained, and the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed are merged to obtain a target resource configuration list corresponding to the object to be processed, and then the target resource configuration list corresponding to the object to be processed can be sent to the target terminal device for display, so as to perform logical matching processing based on the benchmark data, improve the accuracy of resource configuration, and perform multi-level and multi-dimensional processing on the collected data and benchmark data of the object to be processed through category standardization processing, structure analysis processing and subsidiary resource standardization processing, optimize the resource configuration structure, improve resource allocation efficiency, enhance the flexibility of resource configuration, and strengthen the pertinence of the data of concern.

[0056] In some embodiments, the benchmark data corresponding to the object to be processed is determined based on the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, including: mapping the attribute data corresponding to the object to be processed based on preset attribute standard data to obtain the attribute benchmark data corresponding to the object to be processed; matching the collection data corresponding to the object to be processed to obtain the collection benchmark data corresponding to the object to be processed; merging the attribute benchmark data corresponding to the object to be processed and the collection benchmark data corresponding to the object to be processed to obtain the benchmark data corresponding to the object to be processed.

[0057] Specifically, the attribute data corresponding to the object to be processed can be mapped based on the preset attribute standard data. The mapping process can compare and convert the attribute data with the attribute standard data to obtain attribute reference data corresponding to the object to be processed that is consistent with the attribute standard data. The collected data corresponding to the object to be processed can be matched. The matching process can compare the collected data with the preset matching rules or standards, and filter out the collected data that meets the rules or standards to obtain the collected reference data corresponding to the object to be processed. The attribute reference data and the collected reference data can then be merged and processed, and the reference data corresponding to the object to be processed can be obtained through calculation methods such as weighted average or direct addition, which are not limited here.

[0058] Among them, the preset attribute standard data can be standardized data used to characterize the characteristics or configuration requirements of the object to be processed. The preset attribute standard data can include building configuration standards, material specifications, and / or equipment models, etc., which are not limited here.

[0059] The attribute reference data corresponding to the object to be processed can be data obtained by mapping the attribute data corresponding to the object to be processed based on the preset attribute standard data. The attribute reference data corresponding to the object to be processed can be used to characterize the consistency of the characteristics or configuration requirements of the object to be processed with the preset standard.

[0060] The acquisition reference data corresponding to the object to be processed may be data obtained by matching the acquisition data corresponding to the object to be processed. The acquisition reference data corresponding to the object to be processed may be data obtained by measurement, and the acquisition reference data may be used to characterize the actual situation of the object to be processed.

[0061] For example, in a construction project, the preset building configuration standard related data can be used as attribute standard data, and the data such as the building material consumption and equipment configuration obtained through actual measurement can be used as collected data. The attribute data can be mapped based on the attribute standard data to obtain attribute benchmark data that is consistent with the preset standards in terms of the project's configuration requirements in terms of building materials, equipment, etc. The collected data can be matched and screened to obtain the collected benchmark data that meets the actual situation of the project and the preset matching rules.

[0062] According to the technical solution provided by the embodiment of the present disclosure, by mapping the attribute data corresponding to the object to be processed based on preset attribute standard data, the attribute benchmark data corresponding to the object to be processed that is consistent with the attribute standard data can be obtained, and the collection data corresponding to the object to be processed can be matched to obtain the collection benchmark data corresponding to the object to be processed, and then the attribute benchmark data and the collection benchmark data can be merged to obtain the benchmark data corresponding to the object to be processed, thereby enhancing the accuracy and reliability of resource allocation, improving the efficiency and accuracy of data processing in the resource allocation process, and improving the scientificity and rationality of project resource estimation.

[0063] In some embodiments, logical matching processing is performed on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed to obtain the total amount of indirect configuration corresponding to the object to be processed, including: matching processing on the benchmark data corresponding to the object to be processed and the attribute data corresponding to the object to be processed to obtain the main indirect configuration amount corresponding to the object to be processed; weighted summing processing is performed on the main indirect configuration amount corresponding to the object to be processed to obtain the subsidiary indirect configuration amount corresponding to the object to be processed; weighted summing processing is performed on the main indirect configuration amount corresponding to the object to be processed and the subsidiary indirect configuration amount corresponding to the object to be processed to obtain the total amount of indirect configuration corresponding to the object to be processed.

[0064] Specifically, the benchmark data and attribute data corresponding to the object to be processed can be matched, and the indirect configuration requirements of the object to be processed in terms of subject resources, that is, the subject indirect configuration quantity, can be determined by comparing the correlation and consistency between the two. The matching process can be represented by an expression, such as: in the attribute data, the subject indirect configuration quantity = the subject indirect configuration quantity corresponding to the benchmark data. Then, the subject indirect configuration quantity can be weighted and summed. Different weights can be assigned to the subject resources according to the degree of correlation and importance between the subject resources, and the weighted sum can be calculated to obtain the indirect configuration of the object to be processed in terms of subsidiary resources. Demand, that is, the amount of subsidiary indirect configuration, this process can be expressed by the expression: subsidiary indirect configuration amount = Σ(main indirect configuration amount * the ratio of main resources in the total amount), and then the subsidiary indirect configuration amount and the main indirect configuration amount can be weighted summed up, the main indirect configuration amount and the subsidiary indirect configuration amount can be merged according to the proportion, and the total indirect configuration amount corresponding to the object to be processed can be calculated. This process can be expressed by the expression: the total indirect configuration amount corresponding to the object to be processed = Σ(main indirect configuration amount * the ratio of main resources in the collected data) + Σ(subsidiary indirect configuration amount * the ratio of subsidiary resources in the collected data).

[0065] The indirect configuration amount of the subject corresponding to the object to be processed can be the indirect configuration demand of the subject resources of the object to be processed obtained by matching the benchmark data and attribute data corresponding to the object to be processed. The indirect configuration amount can be used to characterize the overall demand of the project in terms of subject resources.

[0066] The subsidiary indirect configuration amount corresponding to the object to be processed can be the indirect configuration demand of the object to be processed in terms of subsidiary resources obtained by weighted summation of the main indirect configuration amount. The subsidiary indirect configuration amount can be used to characterize the demand of the project in terms of subsidiary resources.

[0067] For example, in a construction project, the preset building configuration standard related data can be used as benchmark data, and the actual configuration situation or demand of the project can be used as attribute data. By comparing the correlation and consistency between the benchmark data and the attribute data, the main indirect configuration amount of the project in terms of building structure, main equipment, etc. can be determined. Different weights can be assigned according to the degree of correlation and importance between the main resources, and the weighted sum can be calculated to obtain the subsidiary indirect configuration amount of the project in terms of building materials, auxiliary equipment, etc. The main indirect configuration amount and the subsidiary indirect configuration amount can be combined according to the ratio in the overall resource amount to calculate the total indirect configuration amount of the project, which serves as the basis for subsequent resource allocation and scheduling.

[0068] According to the technical solution provided by the embodiment of the present disclosure, by matching the benchmark data and attribute data corresponding to the object to be processed, and comparing the correlation and consistency between the two, the indirect configuration requirements of the object to be processed in terms of main resources, that is, the main indirect configuration amount, are determined, and then the main indirect configuration amount can be weighted and summed, and different weights are assigned to each main resource according to the degree of correlation and importance, and the weighted sum is calculated to obtain the indirect configuration requirements of the object to be processed in terms of subsidiary resources, that is, the subsidiary indirect configuration amount, and then the subsidiary indirect configuration amount and the main indirect configuration amount can be weighted and summed, and the main indirect configuration amount and the subsidiary indirect configuration amount are merged according to the ratio to calculate the total indirect configuration amount corresponding to the object to be processed, thereby enhancing the precision and accuracy of resource configuration, improving the ability to analyze data correlation and consistency in the resource configuration process, and improving the reliability and scientificity of project resource estimation.

[0069] In some embodiments, category standardization processing is performed on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total category resource configuration corresponding to the object to be processed, including: performing benchmark mapping processing on the collected data corresponding to the object to be processed to obtain category effect parameters corresponding to the collected data; performing weighted processing on the category effect parameters corresponding to the collected data to obtain the category resource input amount corresponding to the collected data; performing benchmark mapping processing on the attribute data corresponding to the object to be processed to obtain category effect parameters corresponding to the attribute data; performing weighted processing on the category effect parameters corresponding to the attribute data to obtain the category resource input amount corresponding to the attribute data; and merging the category resource input amount corresponding to the collected data and the category resource input amount corresponding to the attribute data to obtain the total category resource configuration corresponding to the object to be processed.

[0070] Specifically, the collected data corresponding to the object to be processed can be converted into category effect parameters through benchmark mapping processing. The processing process can be expressed by the expression: category effect parameter corresponding to the collected data = collection category effect parameter corresponding to the benchmark data. The category effect parameter corresponding to the collected data can be used to characterize the utilization efficiency or effect of different categories of resources. The category effect parameter corresponding to the collected data is weighted to obtain the category resource input corresponding to the collected data, that is, the resource demand adjusted according to the effect parameter. The process can be expressed by the expression: category resource input corresponding to the collected data = Σ(category effect parameter corresponding to the collected data * ratio of the main resources in the collected data). The attribute data of the object to be processed can be benchmark mapped and weighted to obtain the category resource input corresponding to the attribute data. The process can be expressed by the expression: category effect parameter corresponding to the attribute data = attribute category effect parameter corresponding to the benchmark data. The category resource input corresponding to the attribute data = Σ(category effect parameter corresponding to the attribute data * ratio of the main resources in the collected data); and then the category resource input corresponding to the collected data and the category resource input corresponding to the attribute data can be added to obtain the total category resource configuration corresponding to the object to be processed.

[0071] Among them, the category effect parameters corresponding to the collected data can be the parameter values ​​that convert the actually measured collected data into the efficiency or effect of resource utilization, and the category effect parameters corresponding to the collected data can be used to evaluate the actual utilization effects of different categories of resources.

[0072] The input amount of the category resources corresponding to the collected data may be the resource demand amount obtained by weighted processing according to the category effect parameters corresponding to the collected data.

[0073] The category effect parameter corresponding to the attribute data may be a parameter value that converts the preset attribute data into a characterization of resource utilization efficiency or effect. The category effect parameter corresponding to the attribute data may be used to evaluate the utilization effect of different categories of resources under preset standards.

[0074] The category resource input amount corresponding to the attribute data may be a resource demand amount obtained by weighted processing according to the category effect parameter corresponding to the attribute data. The category resource input amount corresponding to the attribute data may be used to characterize the reasonable configuration requirements of each category of resources under a preset standard.

[0075] For example, in a construction project, the actual measured resource consumption data can be benchmark mapped with the pre-configured sub-item data to obtain the usage effect parameters of different categories of resources, and weighted processing can be performed based on the obtained effect parameters to obtain the actual measured resource input. The preset building configuration standard related data can be benchmark mapped as above and then weighted to obtain the resource input corresponding to the preset standard. Then, the actual measured resource input and the resource input corresponding to the preset standard can be added together to obtain the total resource allocation for the project.

[0076] According to the technical solution provided by the embodiment of the present disclosure, the collected data corresponding to the object to be processed can be converted into category effect parameters through benchmark mapping processing, and the category effect parameters corresponding to the collected data can be weighted to obtain the category resource input corresponding to the collected data. That is, according to the resource demand after the effect parameters are adjusted, the attribute data of the object to be processed can be benchmark mapped and weighted to obtain the category resource input corresponding to the attribute data, and then the category resource input corresponding to the collected data and the category resource input corresponding to the attribute data can be added to obtain the total category resource configuration corresponding to the object to be processed, thereby enhancing the accuracy of resource configuration, improving the efficiency of resource utilization, and enhancing the scientific level of project management.

[0077] In some embodiments, the benchmark data corresponding to the object to be processed is subjected to structural analysis processing to obtain the total amount of subject resource configuration corresponding to the object to be processed, including: analyzing the benchmark data corresponding to the object to be processed based on a preset subject benchmark data structure list to obtain subject benchmark effect parameters corresponding to the object to be processed and subject benchmark resource input amounts corresponding to the object to be processed; matching the subject benchmark effect parameters corresponding to the object to be processed to obtain subject effect parameters corresponding to the object to be processed; matching the subject benchmark resource input amounts corresponding to the object to be processed to obtain subject resource input amounts corresponding to the object to be processed; merging the subject effect parameters corresponding to the object to be processed and the subject resource input amounts corresponding to the object to be processed to obtain the total amount of subject resource configuration corresponding to the object to be processed.

[0078] Specifically, the benchmark data corresponding to the object to be processed can be structurally analyzed through the preset list of subject benchmark data structures to obtain the subject benchmark effect parameters and subject benchmark resource input corresponding to the object to be processed. The subject benchmark effect parameters corresponding to the object to be processed can be used to characterize the expected use effect of the project subject resources under the benchmark conditions, and the subject benchmark resource input corresponding to the object to be processed can be used to characterize the expected required input of the project subject resources under the benchmark conditions. The subject benchmark effect parameters corresponding to the object to be processed can be matched with the actual situation to obtain the actual subject effect parameters. The process can be expressed by the expression: subject effect parameters corresponding to the object to be processed = subject benchmark effect parameters corresponding to the object to be processed; the subject benchmark resource input can be matched to obtain the actual subject resource input. The process can be expressed by the expression: subject resource input corresponding to the object to be processed = subject benchmark resource input corresponding to the object to be processed; and then the matched subject effect parameters and subject resource input can be added to obtain the total subject resource configuration corresponding to the project.

[0079] Among them, the preset main benchmark data structure list can be a pre-configured data structure, and the preset main benchmark data structure list can be used to parse and extract the main part information in the benchmark data, including but not limited to resource usage effect parameters and resource input amount.

[0080] The subject benchmark effect parameter corresponding to the object to be processed can be a parameter value obtained by parsing the benchmark data, and the subject benchmark effect parameter corresponding to the object to be processed can be used to characterize the parameter value of the use effect of the subject part of the resources under the benchmark conditions. The parameter value can be used to evaluate the utilization efficiency and quality of the resources.

[0081] The main benchmark resource input amount corresponding to the object to be processed can be the resource input amount required for the main part under the benchmark conditions obtained by parsing the benchmark data. The main benchmark resource input amount can be used to characterize the scale and quantity of resources required for the main part of the project under the benchmark conditions.

[0082] The subject effect parameter corresponding to the object to be processed may be an actual use effect parameter value obtained by matching the subject benchmark effect parameter, and the subject effect parameter may be used to characterize the parameter value of the actual use effect of some resources of the subject.

[0083] The subject resource input amount corresponding to the object to be processed may be the resource input amount actually required for the subject part obtained by matching the subject benchmark resource input amount.

[0084] For example, in a construction project, the benchmark data can be parsed and processed through a preset list of main benchmark data structures to obtain the project's main benchmark effect parameters and main benchmark resource input amounts. The main benchmark effect parameters and main benchmark resource input amounts can be matched as benchmark values ​​respectively to obtain the actual main effect parameters and main resource input amounts. The actual main effect parameters and main resource input amounts can then be added together to obtain the total main resource configuration corresponding to the construction project.

[0085] According to the technical solution provided by the embodiment of the present disclosure, the benchmark data corresponding to the object to be processed is structurally analyzed through a preset list of subject benchmark data structures to obtain the subject benchmark effect parameters and subject benchmark resource input amounts corresponding to the object to be processed. The subject benchmark effect parameters corresponding to the object to be processed can be matched with the actual situation to obtain the actual subject effect parameters; the subject benchmark resource input amounts can be matched to obtain the actual subject resource input amounts; and then the matched subject effect parameters and subject resource input amounts can be added to obtain the total subject resource allocation amount corresponding to the project, thereby enhancing the accuracy of resource allocation, improving resource utilization efficiency, and enhancing the scientificity and accuracy of project management decisions.

[0086] In some embodiments, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed are subjected to subsidiary resource standardization processing to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed, including: processing the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed based on a preset mapping relationship to obtain subsidiary benchmark effect parameters corresponding to the object to be processed and subsidiary resource benchmark input amounts corresponding to the object to be processed; weighting the subsidiary benchmark effect parameters corresponding to the object to be processed to obtain the subsidiary effect parameters corresponding to the object to be processed; weighting the subsidiary resource benchmark input amounts corresponding to the object to be processed to obtain the subsidiary resource input amounts corresponding to the object to be processed; merging the subsidiary effect parameters corresponding to the object to be processed and the subsidiary resource input amounts corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed.

[0087] Specifically, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be converted through a preset mapping relationship to obtain the subsidiary benchmark effect parameters corresponding to the object to be processed and the subsidiary resource benchmark input amounts corresponding to the object to be processed. The process can be expressed by the expression: subsidiary benchmark effect parameters corresponding to the object to be processed = subsidiary effect parameters corresponding to the benchmark data, subsidiary resource benchmark input amounts corresponding to the object to be processed = subsidiary resource input amounts corresponding to the benchmark data; the subsidiary benchmark effect parameters and subsidiary resource benchmark input amounts can be weighted, and the process can be expressed by the expression: subsidiary effect parameters corresponding to the object to be processed = Σ(supplementary benchmark effect parameters corresponding to the object to be processed * ratio of main resources in the collected data), subsidiary resource input amounts corresponding to the object to be processed = Σ(supplementary benchmark input amounts corresponding to the object to be processed * ratio of main resources in the collected data); the weighted subsidiary effect parameters and subsidiary resource input amounts can be added to obtain the total subsidiary resource configuration amount corresponding to the object to be processed.

[0088] Among them, the preset mapping relationship can be a rule or functional relationship for converting collected data and benchmark data into specific parameters or input amounts. The preset mapping relationship can be established based on historical data, industry standards, or expert experience, etc., and is not limited here.

[0089] The subsidiary benchmark effect parameters corresponding to the object to be processed can be parameters processed based on a preset mapping relationship. The subsidiary benchmark effect parameters corresponding to the object to be processed can be used to characterize the effect or performance of the object to be processed under the benchmark state, including but not limited to the benchmark completion degree and quality grade of the construction project.

[0090] The benchmark input of affiliated resources corresponding to the object to be processed can be the resource input processed based on a preset mapping relationship. The benchmark input of affiliated resources corresponding to the object to be processed can be used to characterize the resource input required to achieve a specific effect or performance under the benchmark state, including but not limited to the input of materials, labor, etc. required for the construction project under the benchmark state.

[0091] The subsidiary effect parameters corresponding to the object to be processed can be effect parameters obtained after weighted processing of the subsidiary benchmark effect parameters. The subsidiary effect parameters corresponding to the object to be processed can be used to characterize the effect or performance of the object to be processed in actual circumstances, including but not limited to the actual completion degree and quality grade of the construction project.

[0092] The amount of subsidiary resource input corresponding to the object to be processed can be the resource input obtained after weighted processing of the subsidiary resource benchmark input. The amount of subsidiary resource input corresponding to the object to be processed can be used to characterize the resource input required under actual conditions, including but not limited to the input of materials, labor, etc. required for the construction project under actual conditions.

[0093] For example, through a preset mapping relationship, such as a conversion rule established based on historical project data, the actual measurement data of the construction project, such as the actual construction progress, material consumption, etc., and the benchmark values ​​of the corresponding project found in the pre-configured sub-item data, such as the standard construction progress, standard material consumption, etc., can be converted to obtain the project's subsidiary benchmark effect parameters, such as the ratio of the actual completion degree to the standard completion degree, and the subsidiary resource benchmark input, such as the ratio of the actual material consumption to the standard material consumption; the benchmark subsidiary effect parameters and subsidiary resource input can be weighted, and the actual subsidiary effect parameters and subsidiary resource input obtained after weighting can be added to obtain the total subsidiary resource allocation of the project.

[0094] According to the technical solution provided by the embodiment of the present disclosure, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed are converted through a preset mapping relationship to obtain the subsidiary benchmark effect parameters corresponding to the object to be processed and the subsidiary resource benchmark input amounts corresponding to the object to be processed. The subsidiary benchmark effect parameters and the subsidiary resource benchmark input amounts can be weighted, and the weighted subsidiary effect parameters and subsidiary resource input amounts can be added to obtain the total subsidiary resource configuration amount corresponding to the object to be processed, thereby enhancing the accuracy of resource configuration, improving resource utilization efficiency, and enhancing the overall effectiveness of project management.

[0095] In some embodiments, a target resource configuration list corresponding to the object to be processed is determined based on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, including: performing list construction processing on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed to obtain an initial resource configuration list corresponding to the object to be processed; and performing template processing on the initial resource configuration list corresponding to the object to be processed to obtain a target resource configuration list corresponding to the object to be processed.

[0096] Specifically, the total amount of indirect configuration, the total amount of category resource configuration, the total amount of main resource configuration, and the total amount of subsidiary resource configuration corresponding to the object to be processed can be sorted out to construct an initial resource configuration list. The initial resource configuration list can be used to characterize the various resources and their configuration amounts required for the project. The initial resource configuration list can be templated according to a preset resource configuration template or format requirement, including but not limited to adjusting the list structure and / or adding necessary labels or descriptions, etc., to obtain the target resource configuration list.

[0097] Among them, the initial resource allocation list corresponding to the object to be processed can be used to represent the list of various resources required for the project and their allocation quantities. These resources include but are not limited to human resources, material resources, financial resources, etc. The allocation quantity can be calculated based on the actual needs of the project and the preset standards. The list can be obtained by adding the total amount of indirect allocation, the total amount of category resource allocation, the total amount of main resource allocation, and the total amount of subsidiary resource allocation, which provides an important reference for subsequent resource allocation decisions.

[0098] For example, based on the actual situation of the construction project, the total amount of indirect configuration of the project (such as management fees, taxes, etc.), the total amount of category resource configuration (such as the total manpower demand for different types of work), the total amount of main resource configuration (such as the configuration amount of major building materials and equipment) and the total amount of ancillary resource configuration (such as the configuration amount of auxiliary materials and temporary facilities) can be calculated respectively. The above configuration amounts can be sorted out to construct an initial resource configuration list. The initial resource configuration list can be templated according to the resource configuration template or format requirements of the construction industry, including adjusting the list structure and adding necessary labels or descriptions (such as resource name, unit, quantity, remarks, etc.) to obtain the target resource configuration list.

[0099] According to the technical solution provided by the embodiment of the present disclosure, by sorting out the total amount of indirect configuration, the total amount of category resource configuration, the total amount of main resource configuration, and the total amount of subsidiary resource configuration corresponding to the object to be processed, an initial resource configuration list is constructed, and the initial resource configuration list can be templated according to a preset resource configuration template or format requirement to obtain a target resource configuration list, thereby enhancing the orderliness and readability of resource configuration, improving the accuracy and efficiency of resource configuration, and enhancing the scientificity and precision of project management decisions.

[0100] All the above optional technical solutions can be arbitrarily combined to form optional embodiments of the present disclosure, and will not be described in detail here.

[0101] The following are embodiments of the device disclosed herein, which can be used to execute the method embodiments disclosed herein. For details not disclosed in the device embodiments disclosed herein, please refer to the method embodiments disclosed herein.

[0102] Figure 3 Schematic diagram of a resource configuration device provided by an embodiment of the present disclosure. Figure 3 As shown, the resource configuration device includes:

[0103] An acquisition module 301 is used to acquire attribute data corresponding to the object to be processed and collected data corresponding to the object to be processed;

[0104] A first determination module 302 is used to determine the reference data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed;

[0105] The first processing module 303 is used to perform logic matching processing on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed, so as to obtain the total amount of indirect configuration corresponding to the object to be processed;

[0106] The second processing module 304 is used to perform category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed;

[0107] The third processing module 305 is used to perform structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed;

[0108] The fourth processing module 306 is used to perform subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed, so as to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed;

[0109] The second determination module 307 is used to determine the target resource configuration list corresponding to the object to be processed based on the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed, and send the target resource configuration list corresponding to the object to be processed to the target terminal device for display.

[0110] According to the technical solution provided by the embodiment of the present disclosure, by acquiring the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, the benchmark data corresponding to the object to be processed can be determined according to the attribute data corresponding to the object to be processed and the collection data corresponding to the object to be processed, and logical matching is performed on the attribute data corresponding to the object to be processed based on the benchmark data to obtain the total amount of indirect configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to category standardization processing to obtain the total amount of category resource configuration corresponding to the object to be processed, and then the benchmark data corresponding to the object to be processed can be analyzed by sub-structure to obtain the total amount of main resource configuration corresponding to the object to be processed, and the collection data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed can be subjected to subsidiary resource standardization processing, The total amount of subsidiary resource configuration corresponding to the object to be processed is obtained, and the total amount of indirect configuration corresponding to the object to be processed, the total amount of category resource configuration corresponding to the object to be processed, the total amount of main resource configuration corresponding to the object to be processed, and the total amount of subsidiary resource configuration corresponding to the object to be processed are merged to obtain a target resource configuration list corresponding to the object to be processed, and then the target resource configuration list corresponding to the object to be processed can be sent to the target terminal device for display, so as to perform logical matching processing based on the benchmark data, improve the accuracy of resource configuration, and perform multi-level and multi-dimensional processing on the collected data and benchmark data of the object to be processed through category standardization processing, structure analysis processing and subsidiary resource standardization processing, optimize the resource configuration structure, improve resource allocation efficiency, enhance the flexibility of resource configuration, and strengthen the pertinence of the data of concern.

[0111] In some embodiments, the first determination module 302 is specifically used to map the attribute data corresponding to the object to be processed based on preset attribute standard data to obtain the attribute benchmark data corresponding to the object to be processed; match the collection data corresponding to the object to be processed to obtain the collection benchmark data corresponding to the object to be processed; merge the attribute benchmark data corresponding to the object to be processed and the collection benchmark data corresponding to the object to be processed to obtain the benchmark data corresponding to the object to be processed.

[0112] In some embodiments, the first processing module 303 is specifically used to match the benchmark data corresponding to the object to be processed and the attribute data corresponding to the object to be processed to obtain the main indirect configuration amount corresponding to the object to be processed; perform weighted summation processing on the main indirect configuration amount corresponding to the object to be processed to obtain the subsidiary indirect configuration amount corresponding to the object to be processed; perform weighted summation processing on the main indirect configuration amount corresponding to the object to be processed and the subsidiary indirect configuration amount corresponding to the object to be processed to obtain the total indirect configuration amount corresponding to the object to be processed.

[0113] In some embodiments, the second processing module 304 is specifically used to perform benchmark mapping processing on the collected data corresponding to the object to be processed to obtain category effect parameters corresponding to the collected data; perform weighted processing on the category effect parameters corresponding to the collected data to obtain category resource input corresponding to the collected data; perform benchmark mapping processing on the attribute data corresponding to the object to be processed to obtain category effect parameters corresponding to the attribute data; perform weighted processing on the category effect parameters corresponding to the attribute data to obtain category resource input corresponding to the attribute data; and merge the category resource input corresponding to the collected data and the category resource input corresponding to the attribute data to obtain the total category resource configuration corresponding to the object to be processed.

[0114] In some embodiments, the third processing module 305 is specifically used to parse and process the benchmark data corresponding to the object to be processed based on a preset subject benchmark data structure list to obtain the subject benchmark effect parameters corresponding to the object to be processed and the subject benchmark resource input amount corresponding to the object to be processed; match the subject benchmark effect parameters corresponding to the object to be processed to obtain the subject effect parameters corresponding to the object to be processed; match the subject benchmark resource input amount corresponding to the object to be processed to obtain the subject resource input amount corresponding to the object to be processed; merge the subject effect parameters corresponding to the object to be processed and the subject resource input amount corresponding to the object to be processed to obtain the total subject resource configuration corresponding to the object to be processed.

[0115] In some embodiments, the fourth processing module 306 is specifically used to process the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed based on a preset mapping relationship to obtain the subsidiary benchmark effect parameters corresponding to the object to be processed and the subsidiary resource benchmark input amount corresponding to the object to be processed; perform weighted processing on the subsidiary benchmark effect parameters corresponding to the object to be processed to obtain the subsidiary effect parameters corresponding to the object to be processed; perform weighted processing on the subsidiary resource benchmark input amount corresponding to the object to be processed to obtain the subsidiary resource input amount corresponding to the object to be processed; perform merge processing on the subsidiary effect parameters corresponding to the object to be processed and the subsidiary resource input amount corresponding to the object to be processed to obtain the total subsidiary resource configuration corresponding to the object to be processed.

[0116] In some embodiments, the second determination module 307 is specifically used to perform list construction processing on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, so as to obtain an initial resource configuration list corresponding to the object to be processed; and to perform template processing on the initial resource configuration list corresponding to the object to be processed, so as to obtain a target resource configuration list corresponding to the object to be processed.

[0117] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present disclosure.

[0118] Figure 4 Schematic diagram of an electronic device 4 provided in an embodiment of the present disclosure. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 401, a memory 402, and a computer program 403 stored in the memory 402 and executable on the processor 401. When the processor 401 executes the computer program 403, the steps in the above-mentioned method embodiments are implemented. Alternatively, when the processor 401 executes the computer program 403, the functions of the modules / units in the above-mentioned device embodiments are implemented.

[0119] The electronic device 4 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 4 may include, but is not limited to, a processor 401 and a memory 402. Those skilled in the art will appreciate that Figure 4 The electronic device 4 is merely an example and does not limit the electronic device 4 , and may include more or less components than those shown in the figure, or different components.

[0120] The processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

[0121] The memory 402 may be an internal storage unit of the electronic device 4, for example, a hard disk or memory of the electronic device 4. The memory 402 may also be an external storage device of the electronic device 4, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. The memory 402 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 402 is used to store computer programs and other programs and data required by the electronic device.

[0122] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units.

[0123] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium (e.g., a computer-readable storage medium). Based on this understanding, the present disclosure implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and the computer program can implement the steps of the above-mentioned various method embodiments when executed by the processor. The computer program may include computer program code, and the computer program code may be in source code form, object code form, executable file or some intermediate form, etc. The computer-readable storage medium may include: any entity or device capable of carrying computer program code, recording medium, U disk, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electric carrier signal, telecommunication signal and software distribution medium, etc.

[0124] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should all be included in the protection scope of the present disclosure.

Claims

1. A resource configuration method, characterized in that: include: Acquire attribute data corresponding to the object to be processed and collected data corresponding to the object to be processed; Determining the reference data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed; Performing logic matching processing on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed, so as to obtain the total amount of indirect configuration corresponding to the object to be processed; Performing category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed; Performing structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed; Performing subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed; Based on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, the target resource configuration list corresponding to the object to be processed is determined, and the target resource configuration list corresponding to the object to be processed is sent to the target terminal device for display.

2. The resource allocation method according to claim 1, characterized in that: The step of determining the reference data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed comprises: Mapping the attribute data corresponding to the object to be processed based on the preset attribute standard data to obtain the attribute reference data corresponding to the object to be processed; Performing matching processing on the collected data corresponding to the object to be processed to obtain the collected reference data corresponding to the object to be processed; The attribute reference data corresponding to the object to be processed and the collection reference data corresponding to the object to be processed are combined to obtain the reference data corresponding to the object to be processed.

3. The resource allocation method according to claim 1, characterized in that: The performing logical matching processing on the attribute data corresponding to the object to be processed based on the benchmark data corresponding to the object to be processed to obtain the total amount of indirect configuration corresponding to the object to be processed includes: Matching the reference data corresponding to the object to be processed with the attribute data corresponding to the object to be processed to obtain the subject indirect configuration amount corresponding to the object to be processed; Performing weighted sum processing on the main indirect configuration amount corresponding to the object to be processed to obtain the subsidiary indirect configuration amount corresponding to the object to be processed; A weighted summation process is performed on the main indirect configuration amount corresponding to the object to be processed and the subsidiary indirect configuration amount corresponding to the object to be processed to obtain the total indirect configuration amount corresponding to the object to be processed.

4. The resource allocation method according to claim 1, characterized in that: The step of performing category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed includes: Performing benchmark mapping processing on the collected data corresponding to the object to be processed to obtain category effect parameters corresponding to the collected data; Performing weighted processing on the category effect parameters corresponding to the collected data to obtain the category resource input amount corresponding to the collected data; Performing benchmark mapping processing on the attribute data corresponding to the object to be processed to obtain the category effect parameters corresponding to the attribute data; Performing weighted processing on the category effect parameters corresponding to the attribute data to obtain the category resource input amount corresponding to the attribute data; The category resource input amount corresponding to the collected data and the category resource input amount corresponding to the attribute data are combined to obtain the category resource configuration total amount corresponding to the object to be processed.

5. The resource allocation method according to claim 1, characterized in that: The step of performing structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of subject resource configuration corresponding to the object to be processed includes: Based on a preset subject benchmark data structure list, the benchmark data corresponding to the object to be processed is parsed and processed to obtain a subject benchmark effect parameter corresponding to the object to be processed and a subject benchmark resource input amount corresponding to the object to be processed; Performing matching processing on the subject benchmark effect parameters corresponding to the object to be processed to obtain the subject effect parameters corresponding to the object to be processed; Matching the principal reference resource input amount corresponding to the object to be processed to obtain the principal resource input amount corresponding to the object to be processed; The main effect parameters corresponding to the object to be processed and the main resource input amount corresponding to the object to be processed are combined to obtain the total main resource configuration amount corresponding to the object to be processed.

6. The resource allocation method according to claim 1, characterized in that: The performing subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed includes: Based on a preset mapping relationship, the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed are processed to obtain the subsidiary benchmark effect parameter corresponding to the object to be processed and the subsidiary resource benchmark input amount corresponding to the object to be processed; Performing weighted processing on the subsidiary benchmark effect parameters corresponding to the object to be processed to obtain the subsidiary effect parameters corresponding to the object to be processed; Performing weighted processing on the auxiliary resource benchmark input amount corresponding to the object to be processed to obtain the auxiliary resource input amount corresponding to the object to be processed; The subsidiary effect parameters corresponding to the object to be processed and the subsidiary resource input amount corresponding to the object to be processed are combined to obtain the total subsidiary resource configuration amount corresponding to the object to be processed.

7. The resource allocation method according to claim 1, characterized in that: The determining of a target resource configuration list corresponding to the object to be processed according to the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of subject resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed includes: Performing list construction processing on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of principal resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, to obtain an initial resource configuration list corresponding to the object to be processed; The initial resource configuration list corresponding to the object to be processed is templated to obtain a target resource configuration list corresponding to the object to be processed.

8. A resource allocation device, characterized in that: include: An acquisition module, used to acquire attribute data corresponding to the object to be processed and collected data corresponding to the object to be processed; A first determination module, used to determine the reference data corresponding to the object to be processed according to the attribute data corresponding to the object to be processed and the collected data corresponding to the object to be processed; A first processing module, configured to perform logic matching processing on the attribute data corresponding to the object to be processed based on the reference data corresponding to the object to be processed, so as to obtain the total amount of indirect configuration corresponding to the object to be processed; The second processing module is used to perform category standardization processing on the collected data corresponding to the object to be processed and the benchmark data corresponding to the object to be processed to obtain the total amount of category resource configuration corresponding to the object to be processed; The third processing module is used to perform structural analysis on the benchmark data corresponding to the object to be processed to obtain the total amount of main resource configuration corresponding to the object to be processed; A fourth processing module is used to perform subsidiary resource standardization processing on the collected data corresponding to the object to be processed and the reference data corresponding to the object to be processed to obtain the total amount of subsidiary resource configuration corresponding to the object to be processed; The second determination module is used to determine the target resource configuration list corresponding to the object to be processed based on the total amount of indirect configurations corresponding to the object to be processed, the total amount of category resource configurations corresponding to the object to be processed, the total amount of main resource configurations corresponding to the object to be processed, and the total amount of subsidiary resource configurations corresponding to the object to be processed, and send the target resource configuration list corresponding to the object to be processed to the target terminal device for display.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A readable storage medium storing 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 7 are implemented.

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