CN112836924B - Method, device, electronic equipment and storage medium for resource allocation audit - Google Patents
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Abstract
One or more embodiments of the present disclosure provide a method, an apparatus, an electronic device, and a storage medium for auditing resource allocation, which can perform comprehensive, accurate, and timely assessment on resource allocation. Determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node; collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data; and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result. The device comprises a target node module, a data acquisition module and a strategy evaluation module. The electronic device and the computer instructions stored on the storage medium are configured to perform the resource allocation evaluation method.
Description
Technical Field
One or more embodiments of the present disclosure relate to the field of resource planning technologies, and in particular, to a method, an apparatus, an electronic device, and a storage medium for auditing resource allocation.
Background
The resource supply is one of the most important guarantee conditions indispensable in the production work, corresponding resource allocation strategies are required to be determined for different production projects before the resource allocation, and the actual running state of the production projects also needs to be followed in real time after the corresponding resource allocation so as to evaluate the strategy of the resource allocation and judge whether the corresponding resource allocation method scheme is reasonable or not.
The data used as the basis for resource allocation evaluation at present mainly comes from the data of each business system of the production project, such as the data of a personalized enterprise customization management system with high independence, a small amount of data comes from a standing account electronic form compiled by staff, and the data source mostly depends on the subjective pushing of various business systems with irregular walk. The existing method for evaluating the resource allocation has the problems of untimely data pushing, incomplete data source and inconsistent data transmission, thereby causing inaccurate evaluation and audit trail of the resource allocation.
Disclosure of Invention
In view of this, it is an object of one or more embodiments of the present disclosure to provide a method, an apparatus, an electronic device, and a storage medium for auditing a resource allocation, so as to solve the problem of inaccuracy of the existing resource allocation evaluation.
In view of the foregoing, one or more embodiments of the present specification provide a method for resource allocation auditing, including:
determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result.
Optionally, the process attribute information includes execution step information and production operation organization information when the production project runs;
determining a target production node according to the process attribute information, including:
determining the production flow node corresponding to each execution step according to the execution step information;
and determining the production department nodes involved in realizing all the execution steps according to the production operation organization information.
Optionally, collecting basic production data of the target production node, and integrating the basic production data according to corresponding node information, including:
the basic production data of the production process nodes are process basic data, and the basic production data of the production department nodes are department basic data;
decomposing the process basic data and the department basic data according to the cross corresponding relation between the production process nodes and the production department nodes to respectively obtain process basic sub-data and department basic sub-data;
and constructing a standard data matrix by taking the production process node as a first dimension and the production department node as a second dimension, forming a basic array by taking the process basic sub-data as a first component and the department basic sub-data as a second component, filling the basic array into the standard data matrix as matrix elements, wherein non-empty element data in the standard data matrix is the standard production data.
Optionally, the evaluating the production item by using the standard production data to obtain an evaluation result includes:
verifying the validity of the standard production data, and determining the valid value of the production data;
if the production data effective value exceeds an effective threshold value, taking the production data effective value as an evaluation weight, and calculating and determining an evaluation value of the production project by utilizing the standard production data according to a preset evaluation rule, wherein the evaluation result comprises the production data effective value and the evaluation value;
if the effective value of the production data does not exceed the effective threshold value, outputting an evaluation result as an evaluation failure;
and verifying the validity of the standard production data, and determining the valid value of the production data, wherein the method comprises the following steps of:
and comparing and verifying the first component and the second component of the standard production data corresponding to the basic array, and if the first component and the second component are equal, indicating that the corresponding basic array is effective, and recording the effective basic data duty ratio in the standard data matrix as the effective value of the production data.
Optionally, the resource allocation evaluation method further includes performing an integrity check on the base production data;
performing an integrity check on the base production data, comprising:
if only one of the first component and the second component is included in the non-null element data of the standard data matrix, indicating that the basic production data has a data defect;
when the non-null element data only comprises a first component, indicating that the basic data of the department is missing, and carrying out basic production data acquisition on the production department node again;
and when the non-null element data only comprises the second component, indicating that the basic flow data is missing, and carrying out basic production data acquisition again on the production flow nodes.
Optionally, the resource allocation evaluation method further includes:
recording a data transmission path when basic production data of the target production node are acquired, determining a transmission link of the basic production data and forming a data transmission map according to the transmission link;
the resource allocation evaluation method further comprises the following steps:
setting a data monitoring acquisition period, acquiring and recording the basic production data according to the data monitoring acquisition period, and monitoring the basic production data;
when the basic production data is abnormal, carrying out data tracing on the abnormal production data by utilizing the data transmission map, positioning a fault node in the corresponding transmission link, and determining the cause of the abnormal production data aiming at the fault node.
Optionally, the resource allocation evaluation method further includes:
setting an original comparison corpus according to the basic production data;
collecting unstructured data generated in the running process of the production project, converting the unstructured data into structured data, and performing auxiliary verification on the basic production data;
the converting the unstructured data into structured data includes:
carrying out structural analysis and identification on the unstructured data by utilizing a structural identification technology, and extracting semantic information from a structural analysis and identification result by utilizing a semantic analysis technology;
comparing the extracted semantic information with the corpus information of the original comparison corpus one by taking the paragraph as the minimum resolution unit by adopting a sequence comparison method based on word packages;
and repeatedly detecting the semantic information by combining a sequence detection algorithm, and removing repeated interference data in the semantic information to obtain the structured data.
In view of the foregoing, one or more embodiments of the present specification provide an apparatus for resource allocation audit, including:
a target node module configured to determine a target production node according to process attribute information of a production project involved in resource allocation, the target production node including a production flow node and a production department node;
the data acquisition module is configured to acquire basic production data of the target production node, and uniformly integrate the basic production data according to corresponding node information to obtain standard production data;
and the strategy evaluation module is configured to evaluate the production item by utilizing the standard production data according to a preset evaluation rule to obtain an evaluation result.
In view of the foregoing, one or more embodiments of the present disclosure provide an electronic device for auditing resource allocation, including a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor implements the resource allocation evaluation method when executing the program.
In view of the foregoing, one or more embodiments of the present specification provide a non-transitory computer-readable storage medium storing computer instructions for implementing a method of auditing of the resource allocation.
As can be seen from the foregoing, in the method, the apparatus, the electronic device, and the storage medium for resource allocation audit provided in one or more embodiments of the present disclosure, by performing integrity analysis on a production item involved in resource allocation to determine all target production nodes in the production item that may affect a final evaluation result, where data of the target production nodes are factor data required to be considered for evaluating and judging a corresponding resource allocation policy, in the present application, overall acquiring production data of the target production nodes, and uniformly integrating the overall acquired data based on a problem of diversification of data types to obtain standard production data, evaluating and judging the production item by using the standard production data on the basis of uniform integration to obtain an evaluation result, by adopting such a manner, it can be ensured that the source of the data on which the resource allocation evaluation is based is complete and comprehensive, and after uniform integration, the validity of the data is verified when the data is evaluated, thereby ensuring that the final obtained evaluation result is accurate and comprehensive.
Drawings
For a clearer description of one or more embodiments of the present description or of the solutions of the prior art, the drawings that are necessary for the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are only one or more embodiments of the present description, from which other drawings can be obtained, without inventive effort, for a person skilled in the art.
FIG. 1 is a schematic diagram of a resource allocation evaluation method according to one or more embodiments of the present disclosure;
FIG. 2 is a schematic diagram of a resource allocation evaluation device according to one or more embodiments of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device for evaluating resource allocation according to one or more embodiments of the present disclosure.
Detailed Description
For the purposes of promoting an understanding of the principles and advantages of the disclosure, reference will now be made to the embodiments illustrated in the drawings and specific language will be used to describe the same.
It is noted that unless otherwise defined, technical or scientific terms used in one or more embodiments of the present disclosure should be taken in a general sense as understood by one of ordinary skill in the art to which the present disclosure pertains. The use of the terms "first," "second," and the like in one or more embodiments of the present description does not denote any order, quantity, or importance, but rather the terms "first," "second," and the like are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that elements or items preceding the word are included in the element or item listed after the word and equivalents thereof, but does not exclude other elements or items. The terms "connected" or "connected," and the like, are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", etc. are used merely to indicate relative positional relationships, which may also be changed when the absolute position of the object to be described is changed.
In one aspect, one or more embodiments of the present description provide a resource allocation evaluation method.
One or more embodiments of the present description provide a method for resource allocation auditing, including:
determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result.
As shown in fig. 1, one or more embodiments of the present disclosure provide a resource allocation evaluation method, including:
s1: determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
s2: collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
s3: and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result.
According to the resource allocation evaluation method, all target production nodes which possibly affect a final evaluation result in the production project are determined through carrying out integrity analysis on the production project involved in resource allocation, the data of the target production nodes are factor data which are required to be considered for evaluating and judging corresponding resource allocation strategies, in the method, the production data of the target production nodes are comprehensively and integrally collected, the comprehensively collected data are uniformly integrated based on the problem of data type diversification to obtain standard production data, the standard production data are utilized to evaluate and judge the production project on the basis of uniform integration to obtain the evaluation result, and in such a way, the completeness and the comprehensiveness of the source of the data on which the resource allocation evaluation is based can be ensured, and the validity of the data is verified when the data is evaluated after uniform integration, so that the finally obtained evaluation result is accurate and comprehensive.
In one or more embodiments of the present disclosure, the process attribute information includes execution step information and production operation organization information of the production project during operation;
determining a target production node according to the process attribute information, including:
determining the production flow node corresponding to each execution step according to the execution step information;
and determining the production department nodes involved in realizing all the execution steps according to the production operation organization information.
In the resource allocation evaluation method, corresponding target production nodes are determined by using process attribute information of the production project, wherein the process attribute information comprises execution step information and production operation organization information when the production project runs.
The execution step refers to an execution step of each operation flow covered by the whole production running process of the final target product by utilizing the resources obtained by allocation for production of the production project, and all production flow nodes corresponding to the whole production running process can be determined according to the execution step; according to the production operation organization information, the corresponding organization can determine what basic form is used for organizing resources to design a production operation system so as to realize two functions of production operation and marketing, and according to the production operation organization information, all production department nodes related to the production project can be determined.
In one or more embodiments of the present disclosure, a resource allocation evaluation method is provided, where basic production data of the target production node is collected, and the basic production data is unified and integrated according to corresponding node information, including:
the basic production data of the production process nodes are process basic data, and the basic production data of the production department nodes are process basic data;
decomposing the process basic data and the department basic data according to the cross corresponding relation between the production process nodes and the production department nodes to respectively obtain process basic sub-data and department basic sub-data;
and constructing a standard data matrix by taking the production process node as a first dimension and the production department node as a second dimension, forming a basic array by taking the process basic sub-data as a first component and the department basic sub-data as a second component, filling the basic array into the standard data matrix as matrix elements, wherein non-empty element data in the standard data matrix is the standard production data.
The corresponding relation between the basic production data related to the production project and the production process nodes and the corresponding relation between the basic production data and the production department nodes are the two different dimension attributes, and the production process nodes and the production department nodes have the cross corresponding relation. In the resource allocation evaluation method, the basic production data is divided into flow basic data and flow basic sub-data and department basic sub-data successively according to the corresponding relation between the basic production data and the production flow nodes, the corresponding relation between the basic production data and the production department nodes and the corresponding relation between the production flow nodes and the production department nodes.
The following describes the unified integration process by taking a table as an example:
the production project relates to flow nodes a, B and C, and relates to department nodes A, B and C, and the production departments related to the flow node a are A and B, so that flow basic data of the flow node a are divided according to the departments A and B to obtain aA and aB, namely flow basic sub-data of the flow node a; similarly, the process basic data of the process node B is divided according to the departments B and C to obtain bB and Bc, and the process basic data of the process node C is divided according to the departments A and C to obtain cA and cC. The first component of the base array is determined in this manner.
The process nodes related to the department A node are a and c, so that the department basic data of part of the department A node are divided according to the process nodes a and c to obtain Aa and Ac, namely department basic sub-data of the department A node; similarly, division basic data of a division B node is divided according to a flow a and a B node to obtain Ba and Bb, and division basic data of a division C node is divided according to a flow B and a C node to obtain Cb and Cc. The second component of the base array is determined in this manner.
Whereby the standard data matrix is expressed as:
in the resource allocation evaluation method, the basic production data are integrated in a unified way, and in the finally obtained standard production data, each component data in each basic array simultaneously comprises data of a flow node and a department node, and different components are obtained by dividing by taking different nodes as starting points. The production project is evaluated according to the method, two dimension attributes of the flow node and the department node can be considered at the same time, and verification of data validity and integrity is facilitated.
In one or more embodiments of the present disclosure, a resource allocation evaluation method provided by the present disclosure, where the evaluating the production item using the standard production data to obtain an evaluation result includes:
verifying the validity of the standard production data, and determining the valid value of the production data;
if the production data effective value exceeds an effective threshold value, taking the production data effective value as an evaluation weight, and calculating and determining an evaluation value of the production project by utilizing the standard production data according to a preset evaluation rule, wherein the evaluation result comprises the production data effective value and the evaluation value;
if the effective value of the production data does not exceed the effective threshold value, outputting an evaluation result as an evaluation failure;
and verifying the validity of the standard production data, and determining the valid value of the production data, wherein the method comprises the following steps of:
and comparing and verifying the first component and the second component of the standard production data corresponding to the basic array, and if the first component and the second component are equal, indicating that the corresponding basic array is effective, and recording the effective basic data duty ratio in the standard data matrix as the effective value of the production data.
According to the fact that the corresponding relation exists between the production flow node and the production department node, the flow basic sub-data is used as a first component, the department basic sub-data is used as a second component to form a basic array, the first component and the second component data value in the same basic array should be equal, and the corresponding relation between the flow node and the department node A in the example is taken as an example for explanation, the corresponding relation between the flow node and the department node A should be equal, if the flow node A and the department node A are unequal, the fact that errors or errors can exist in the initially acquired production data is indicated, and validity of corresponding basic array data remains to be agreed. If more basic array data errors exist in the standard production data, the problem exists in the whole acquired production data, the problem exists in the production data, the evaluation is meaningless, and the evaluation result is evaluation failure
One or more embodiments of the present specification provide a resource allocation assessment method, further comprising performing an integrity check on the base production data;
performing an integrity check on the base production data, comprising:
if only one of the first component and the second component is included in the non-null element data of the standard data matrix, indicating that the basic production data has a data defect;
when the non-null element data only comprises a first component, indicating that the basic data of the department is missing, and carrying out basic production data acquisition on the production department node again;
and when the non-null element data only comprises the second component, indicating that the basic flow data is missing, and carrying out basic production data acquisition again on the production flow nodes.
One or more embodiments of the present disclosure provide a resource allocation evaluation method, further including:
recording a data transmission path when basic production data of the target production node are acquired, determining a transmission link of the basic production data and forming a data transmission map according to the transmission link;
the resource allocation evaluation method further comprises the following steps:
setting a data monitoring acquisition period, acquiring and recording the basic production data according to the data monitoring acquisition period, and monitoring the basic production data;
when the basic production data is abnormal, carrying out data tracing on the abnormal production data by utilizing the data transmission map, positioning a fault node in the corresponding transmission link, and determining the cause of the abnormal production data aiming at the fault node.
One or more embodiments of the present disclosure provide a resource allocation evaluation method, further including:
setting an original comparison corpus according to the basic production data;
collecting unstructured data generated in the running process of the production project, converting the unstructured data into structured data, and performing auxiliary verification on the basic production data;
the converting the unstructured data into structured data includes:
carrying out structural analysis and identification on the unstructured data by utilizing a structural identification technology, and extracting semantic information from a structural analysis and identification result by utilizing a semantic analysis technology;
comparing the extracted semantic information with the corpus information of the original comparison corpus one by taking the paragraph as the minimum resolution unit by adopting a sequence comparison method based on word packages;
and repeatedly detecting the semantic information by combining a sequence detection algorithm, and removing repeated interference data in the semantic information to obtain the structured data.
In the resource allocation evaluation method, unstructured data are converted to obtain corresponding structured data, and basic production data are verified in an auxiliary mode according to the corresponding structured data. The method comprises the steps of performing unstructured to structured data conversion, extracting metadata of diversified and multi-type data, creating based on a template to complete unstructured data conversion, and managing file structures required in an unstructured file conversion process by a management module to enable the conversion process to be integrated to convert unstructured data content into structured data, so that the unstructured data is uniformly and effectively managed, key information in the unstructured file is intelligently extracted through a structured recognition technology and a semantic analysis technology, and an original comparison language database is formed through preprocessing; and then, comparing the to-be-detected document with the detection corpus one by using the segmentation as the minimum resolution unit by using the sequence comparison based on the word package, realizing the detection of the repeatability of the document by combining the traditional sequence detection algorithm, and achieving the maximization of the detection precision by setting different thresholds.
In another aspect, one or more embodiments of the present specification provide an apparatus for resource allocation auditing.
An apparatus for resource allocation audit provided in one or more embodiments of the present specification includes
A target node module configured to determine a target production node according to process attribute information of a production project involved in resource allocation, the target production node including a production flow node and a production department node;
the data acquisition module is configured to acquire basic production data of the target production node, and uniformly integrate the basic production data according to corresponding node information to obtain standard production data;
and the strategy evaluation module is configured to evaluate the production item by utilizing the standard production data according to a preset evaluation rule to obtain an evaluation result.
As shown in fig. 2, one or more embodiments of the present disclosure provide a resource allocation evaluation apparatus, including
A target node module 1 configured to determine a target production node according to process attribute information of a production project involved in resource allocation, the target production node including a production flow node and a production department node;
the data acquisition module 2 is configured to acquire basic production data of the target production node, and uniformly integrate the basic production data according to corresponding node information to obtain standard production data;
and the strategy evaluation module 3 is configured to evaluate the production item by using the standard production data according to a preset evaluation rule to obtain an evaluation result.
For convenience of description, the above devices are described as being functionally divided into various modules, respectively. Of course, the functions of each module may be implemented in one or more pieces of software and/or hardware when implementing one or more embodiments of the present description.
The device of the foregoing embodiment is configured to implement the corresponding method in the foregoing embodiment, and has the beneficial effects of the corresponding method embodiment, which is not described herein.
In another aspect, one or more embodiments of the present specification provide an electronic device for resource allocation auditing.
One or more embodiments of the present specification provide an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing a resource allocation audit method when executing the program as follows:
determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result.
Fig. 3 shows a more specific hardware architecture of an electronic device according to this embodiment, where the device may include: a processor 1010, a memory 1020, an input/output interface 1030, a communication interface 1040, and a bus 1050. Wherein processor 1010, memory 1020, input/output interface 1030, and communication interface 1040 implement communication connections therebetween within the device via a bus 1050.
The processor 1010 may be implemented as a general-purpose CPU (Central Processing Unit ), microprocessor, application specific integrated circuit (Application Specific Integrated Circuit, ASIC), or one or more integrated circuits, etc. for executing associated programs to implement the resource allocation evaluation methods provided by the embodiments of the present disclosure.
The Memory 1020 may be implemented in the form of ROM (Read Only Memory), RAM (Random Access Memory ), static storage device, dynamic storage device, or the like. Memory 1020 may store an operating system and other application programs, and when the resource allocation assessment method provided by the embodiments of the present specification is implemented in software or firmware, the associated program code is stored in memory 1020 and invoked for execution by processor 1010.
The input/output interface 1030 is used to connect with an input/output module for inputting and outputting information. The input/output module may be configured as a component in a device (not shown) or may be external to the device to provide corresponding functionality. Wherein the input devices may include a keyboard, mouse, touch screen, microphone, various types of sensors, etc., and the output devices may include a display, speaker, vibrator, indicator lights, etc.
Communication interface 1040 is used to connect communication modules (not shown) to enable communication interactions of the present device with other devices. The communication module may implement communication through a wired manner (such as USB, network cable, etc.), or may implement communication through a wireless manner (such as mobile network, WIFI, bluetooth, etc.).
Bus 1050 includes a path for transferring information between components of the device (e.g., processor 1010, memory 1020, input/output interface 1030, and communication interface 1040).
It should be noted that although the above-described device only shows processor 1010, memory 1020, input/output interface 1030, communication interface 1040, and bus 1050, in an implementation, the device may include other components necessary to achieve proper operation. Furthermore, it will be understood by those skilled in the art that the above apparatus may include only components necessary for implementing the resource allocation evaluation method according to the embodiments of the present specification, and not all components shown in the drawings.
It should be noted that the methods of one or more embodiments of the present description may be performed by a single device, such as a computer or server. The method of the embodiment can also be applied to a distributed scene, and is completed by mutually matching a plurality of devices. In the case of such a distributed scenario, one of the devices may perform only one or more steps of the methods of one or more embodiments of the present description, the devices interacting with each other to accomplish the methods.
The foregoing describes specific embodiments of the present disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.
In another aspect, one or more embodiments of the present specification provide a storage medium for resource allocation auditing. The non-transitory computer readable storage medium stores computer instructions for causing the computer to perform a resource allocation audit method comprising:
determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
and according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result.
One or more embodiments of the present specification provide a resource allocation audit assessment medium.
The non-transitory computer readable storage medium stores computer instructions for causing the computer to perform the resource allocation evaluation method.
The computer readable media of the present embodiments, including both permanent and non-permanent, removable and non-removable media, may be used to implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device.
Those of ordinary skill in the art will appreciate that: the discussion of any of the embodiments above is merely exemplary and is not intended to suggest that the scope of the disclosure, including the claims, is limited to these examples; combinations of features of the above embodiments or in different embodiments are also possible within the spirit of the present disclosure, steps may be implemented in any order, and there are many other variations of the different aspects of one or more embodiments described above which are not provided in detail for the sake of brevity.
Additionally, well-known power/ground connections to Integrated Circuit (IC) chips and other components may or may not be shown within the provided figures, in order to simplify the illustration and discussion, and so as not to obscure one or more embodiments of the present description. Furthermore, the apparatus may be shown in block diagram form in order to avoid obscuring the one or more embodiments of the present description, and also in view of the fact that specifics with respect to implementation of such block diagram apparatus are highly dependent upon the platform within which the one or more embodiments of the present description are to be implemented (i.e., such specifics should be well within purview of one skilled in the art). Where specific details (e.g., circuits) are set forth in order to describe example embodiments of the disclosure, it should be apparent to one skilled in the art that one or more embodiments of the disclosure can be practiced without, or with variation of, these specific details. Accordingly, the description is to be regarded as illustrative in nature and not as restrictive.
While the present disclosure has been described in conjunction with specific embodiments thereof, many alternatives, modifications, and variations of those embodiments will be apparent to those skilled in the art in light of the foregoing description. For example, other memory architectures (e.g., dynamic RAM (DRAM)) may use the embodiments discussed.
The present disclosure is intended to embrace all such alternatives, modifications and variances which fall within the broad scope of the appended claims. Any omissions, modifications, equivalents, improvements, and the like, which are within the spirit and principles of the one or more embodiments of the disclosure, are therefore intended to be included within the scope of the disclosure.
Claims (8)
1. A method of resource allocation auditing, comprising:
determining a target production node according to process attribute information of a production project related to resource allocation, wherein the target production node comprises a production flow node and a production department node;
collecting basic production data of the target production node, and uniformly integrating the basic production data according to corresponding node information to obtain standard production data;
according to a preset evaluation rule, evaluating the production item by using the standard production data to obtain an evaluation result;
the method for collecting the basic production data of the target production node, and integrating the basic production data uniformly according to the corresponding node information comprises the following steps: the basic production data of the production process nodes are process basic data, and the basic production data of the production department nodes are department basic data; decomposing the process basic data and the department basic data according to the cross corresponding relation between the production process nodes and the production department nodes to respectively obtain process basic sub-data and department basic sub-data; constructing a standard data matrix by taking the production process node as a first dimension and the production department node as a second dimension, forming a basic array by taking the process basic sub-data as a first component and the department basic sub-data as a second component, and filling the basic array into the standard data matrix as matrix elements, wherein non-empty element data in the standard data matrix is the standard production data;
wherein, the evaluating the production item by using the standard production data to obtain an evaluation result comprises: verifying the validity of the standard production data, and determining the valid value of the production data; if the production data effective value exceeds an effective threshold value, taking the production data effective value as an evaluation weight, and calculating and determining an evaluation value of the production project by utilizing the standard production data according to a preset evaluation rule, wherein the evaluation result comprises the production data effective value and the evaluation value; if the effective value of the production data does not exceed the effective threshold value, outputting an evaluation result as an evaluation failure;
wherein, carry on the validity verification to the said standard production data, confirm the valid value of production data, including: and comparing and verifying the first component and the second component of the standard production data corresponding to the basic array, and if the first component and the second component are equal, indicating that the corresponding basic array is effective, and recording the effective basic data duty ratio in the standard data matrix as the effective value of the production data.
2. The method of claim 1, wherein the process attribute information includes execution step information and production run organization information for the production project run time;
determining a target production node according to the process attribute information, including:
determining the production flow node corresponding to each execution step according to the execution step information;
and determining the production department nodes involved in realizing all the execution steps according to the production operation organization information.
3. The method of claim 1, further comprising performing an integrity check on the base production data;
performing an integrity check on the base production data, comprising:
if only one of the first component and the second component is included in the non-null element data of the standard data matrix, indicating that the basic production data has a data defect;
when the non-null element data only comprises a first component, indicating that the basic data of the department is missing, and carrying out basic production data acquisition on the production department node again;
and when the non-null element data only comprises the second component, indicating that the basic flow data is missing, and carrying out basic production data acquisition again on the production flow nodes.
4. The method as recited in claim 1, further comprising:
recording a data transmission path when basic production data of the target production node are acquired, determining a transmission link of the basic production data and forming a data transmission map according to the transmission link;
the resource allocation evaluation method further comprises the following steps:
setting a data monitoring acquisition period, acquiring and recording the basic production data according to the data monitoring acquisition period, and monitoring the basic production data;
when the basic production data is abnormal, carrying out data tracing on the abnormal production data by utilizing the data transmission map, positioning a fault node in the corresponding transmission link, and determining the cause of the abnormal production data aiming at the fault node.
5. The method as recited in claim 1, further comprising:
setting an original comparison corpus according to the basic production data;
collecting unstructured data generated in the running process of the production project, converting the unstructured data into structured data, and performing auxiliary verification on the basic production data;
the converting the unstructured data into structured data includes:
carrying out structural analysis and identification on the unstructured data by utilizing a structural identification technology, and extracting semantic information from a structural analysis and identification result by utilizing a semantic analysis technology;
comparing the extracted semantic information with the corpus information of the original comparison corpus one by taking the paragraph as the minimum resolution unit by adopting a sequence comparison method based on word packages;
and repeatedly detecting the semantic information by combining a sequence detection algorithm, and removing repeated interference data in the semantic information to obtain the structured data.
6. An apparatus for resource allocation auditing, comprising:
a target node module configured to determine a target production node according to process attribute information of a production project involved in resource allocation, the target production node including a production flow node and a production department node;
the data acquisition module is configured to acquire basic production data of the target production node, and uniformly integrate the basic production data according to corresponding node information to obtain standard production data;
the strategy evaluation module is configured to evaluate the production items by utilizing the standard production data according to a preset evaluation rule to obtain an evaluation result;
the method for collecting the basic production data of the target production node, and integrating the basic production data uniformly according to the corresponding node information comprises the following steps: the basic production data of the production process nodes are process basic data, and the basic production data of the production department nodes are department basic data; decomposing the process basic data and the department basic data according to the cross corresponding relation between the production process nodes and the production department nodes to respectively obtain process basic sub-data and department basic sub-data; constructing a standard data matrix by taking the production process node as a first dimension and the production department node as a second dimension, forming a basic array by taking the process basic sub-data as a first component and the department basic sub-data as a second component, and filling the basic array into the standard data matrix as matrix elements, wherein non-empty element data in the standard data matrix is the standard production data;
wherein, the evaluating the production item by using the standard production data to obtain an evaluation result comprises: verifying the validity of the standard production data, and determining the valid value of the production data; if the production data effective value exceeds an effective threshold value, taking the production data effective value as an evaluation weight, and calculating and determining an evaluation value of the production project by utilizing the standard production data according to a preset evaluation rule, wherein the evaluation result comprises the production data effective value and the evaluation value; if the effective value of the production data does not exceed the effective threshold value, outputting an evaluation result as an evaluation failure;
wherein, carry on the validity verification to the said standard production data, confirm the valid value of production data, including: and comparing and verifying the first component and the second component of the standard production data corresponding to the basic array, and if the first component and the second component are equal, indicating that the corresponding basic array is effective, and recording the effective basic data duty ratio in the standard data matrix as the effective value of the production data.
7. An electronic device for resource allocation auditing, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1 to 5 when executing the program.
8. A non-transitory computer readable storage medium storing computer instructions for causing a computer to perform the method of any one of claims 1 to 5.
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