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CN-121981570-A - Intelligent interaction platform for service of enterprise policy decision

CN121981570ACN 121981570 ACN121981570 ACN 121981570ACN-121981570-A

Abstract

The invention belongs to the technical field of enterprise policy decision intelligence, and discloses an intelligent interaction platform for enterprise policy decision, which is characterized in that a policy and matched resource acquisition unit acquires provincial level policy texts and interpretations by means of a government and enterprise cooperation docking module, a cross-level detail crawler module captures the matching rules of local cities and regional counties and policy conflict processing guidance, a dynamic update scheduling module ensures that the policies are updated for 10 minutes and are synchronous, key information omission is avoided, an analysis and disassembly unit identifies elements such as policy forcing requirements, core indexes and the like by means of a multi-level semantic analysis module, an execution path mapping module converts policy quantization indexes into time parameters and quality standards of business actions by means of a bidirectional mapping algorithm, a cross-policy conflict identification module can also generate a mediation scheme, the two elements are combined to enable the policies to be inexperienced and executable, the problem of policy and business disjoint is solved, and reporting failure caused by no clear path or missing rules is reduced.

Inventors

  • JIA CHAO

Assignees

  • 北京华夏泰科咨询集团有限公司

Dates

Publication Date
20260505
Application Date
20260106

Claims (8)

  1. 1. An intelligent interaction platform for serving enterprise policy decisions, the platform comprising: The policy and matched resource acquisition unit is used for acquiring industry policy information and regional policy cooperative data and classifying and storing the floor cases, resource information and mapping template data of policies and businesses; the analysis and disassembly unit is used for identifying policy elements and rules, executing the mapping templates of the policies and the services, generating a dedicated execution path, and generating a mediation scheme and a mediation basis by combining historical execution data; The business scene mapping unit is used for constructing an enterprise image, storing enterprise core information and marking business characteristics, collecting production and supply chain data, modeling according to an industry scene, carrying out labeling treatment, and associating an enterprise plan with the regional policy cooperative data; The matching and risk pre-judging unit is used for calculating the early warning window period and the matching degree based on the enterprise portraits, constructing a three-dimensional risk conducting chain and quantifying the conducting probability so as to pre-judge the risks, identify the policy bonus and mark the deadline and the bill of materials; the risk intervention and execution guiding unit is used for making an intervention strategy according to the risk level, outputting an associated list of actions, resources and standards, integrating a policy exclusive resource pool and classifying the policy exclusive resource pool; The decision interaction unit is used for establishing an objective function, forming a plurality of sets of decision scheme comparison, acquiring an auditing progress through a government platform, setting progress early warning, comparing enterprise indexes before and after execution, forming an experience library and establishing a decision optimization knowledge base; And the data security and operation and maintenance unit processes enterprise data according to data sensitivity, establishes an attribute and authority mapping rule base, generates an audit log, performs encryption transmission on interactive data, checks the integrity, monitors the running state performance of the system, and automatically switches to a standby node when a main node fails.
  2. 2. The intelligent interaction platform for servicing enterprise policy decisions of claim 1, wherein the policy and companion resource collection unit is specifically as follows: The government and enterprise cooperation docking module is used for docking a provincial government affair platform to acquire policy originals, official reading and industry policy guidance; the cross-level detail crawler module synchronously collects regional policy coordination data of local policy conflict processing guide when directionally grabbing a regional city and a regional county matched implementation detail; the case and resource library module stores the floor cases, the list of the compliant service institutions and the equipment provider information according to industry, policy types and execution effects, and simultaneously stores mapping template data of policies and services; The dynamic update scheduling module triggers synchronization within 10 minutes when the policies and matched resources are updated, the case library is updated every week, and when the keyword frequency in the policy text is detected to exceed the threshold value, the template node generation logic is automatically triggered to supplement the corresponding qualification audit and flow verification service nodes.
  3. 3. The intelligent interaction platform for servicing corporate policy decisions of claim 2, wherein the parsing and disassembling unit is specifically as follows: the multi-level semantic analysis module identifies a forced requirement and an optional requirement, a core index and an auxiliary index, a reporting node and a rectifying node in the policy, and extracts a policy priority rule and an industry compliance rule; The execution path mapping module invokes the industry policy and service mapping template stored by the policy and matched resource acquisition unit, generates a dedicated execution path by combining the service flow modeling symbol, and converts the quantization index in the policy into the time parameter and quality standard of the service action by adopting a policy index and service action bidirectional mapping algorithm; And the cross-policy conflict recognition module is used for generating a reconciliation scheme and outputting policy basis by combining past execution data of enterprises when the policy conflict is recognized, performing primary screening on a preset policy conflict rule base during conflict recognition, calculating the semantic similarity of conflict terms, and calling a solution template in historical execution data after the conflict type is determined.
  4. 4. The intelligent interaction platform for servicing enterprise policy decisions of claim 3, wherein the business scenario mapping unit is specifically configured to: Constructing an enterprise panoramic portrait comprising basic information, operation dynamics, supply chain association, region adaptation and planning, wherein a basic information module stores core information comprising enterprise registration, industry classification and qualification certificates, and marks service characteristics according to subdivision industry; the management dynamic acquisition module is used for acquiring production capacity and energy consumption data, synchronously acquiring data of the upstream and downstream of a supply chain, and transmitting the data to the matching and risk pre-judging unit after the flow processes of real-time data cleaning, structured storage and field level indexing; The business scene modeling module models according to industry subdivision scenes, firstly disassembles industry core business into non-subdividable basic links, then associates corresponding compliance indexes and production indexes for each link, and finally maps the corresponding compliance indexes and production indexes to an enterprise actual responsibility department to form labeled data of the link-index-responsibility department; The future plan access module is used for acquiring structured future business adjustment data, analyzing out core elements including capacity change, link increment and resource demand, and performing field level matching with the regional policy cooperative data to generate a structured tag data set containing current and future comparison.
  5. 5. The intelligent interaction platform for servicing corporate policy decisions of claim 4, wherein the matching and risk pre-judgment unit is specifically as follows: Based on the enterprise panoramic portrait constructed by the service scene mapping unit, a dynamic matching algorithm module associates a policy execution node and an enterprise service planning node based on time sequence similarity, establishes a modification period prediction function based on enterprise history modification data, inputs parameters including a policy buffering period and enterprise service adjustment complexity, and outputs optimal modification starting time; The risk pre-judging model module builds a three-dimensional risk conducting chain of an enterprise, a supply chain and a region, adopts a risk factor conducting algorithm to quantify risk conducting probability of each link, calculates the overall probability of risk conducting from the enterprise to the region by analyzing the influence coefficient of enterprise business adjustment on the supply chain link and the association degree of abnormality of the supply chain link on policy compliance of the region, introduces a time sequence attention mechanism, and endows dynamic weight to core indexes within 12 months by calculating contribution degree of the indexes in historical risk events The bonus opportunity mining module identifies policy bonus that the enterprise plan can be matched, adopts a policy bonus keyword and enterprise plan element matching algorithm to extract bonus elements from policy texts, performs field level matching with the enterprise plan, screens out the adapted bonus opportunities, and simultaneously extracts key information from a policy database to form a structured bonus opportunity data set.
  6. 6. The intelligent interactive platform for servicing corporate policy decisions according to claim 5, wherein the risk intervention and execution direction unit is specifically as follows: According to the risk prejudging result of the matching and risk prejudging unit, a grading intervention strategy module makes measures according to risk grades, a low risk output correction proposal document, a grading correction plan is generated in the risk, a progress prompt is set, and a special compliance consultant is assigned at high risk; the execution guide generation module outputs an association list of actions, resources and standards, and screens resource information of the matching degree TOP3 from a resource pool based on the policy field and enterprise industry attribute of the risk; the third party resource collaboration module integrates a policy-specific resource pool, carries out structural classification on resources according to policy types, industries and service capabilities, builds a resource retrieval index, and supports the enterprise to operate on a full flow line through resource screening, online reservation and progress query.
  7. 7. The intelligent interaction platform for servicing enterprise policy decisions of claim 6, wherein the decision interaction unit is specifically configured to: Based on the execution progress data of the risk intervention and execution guiding unit, the intelligent decision-making generation module associates the whole policy period, and performs time axis calibration on key time points of the whole policy period and enterprise execution nodes; The execution progress tracking module acquires an audit progress, converts unstructured progress information returned by the government affair platform into a standardized state of material submitted, audit in-audit result, public showing and account entering, sets a progress early warning rule at the same time, and automatically triggers a prompt when the distance reporting deadline and audit feedback time are smaller than a preset threshold value; Comparing enterprise indexes before and after execution by the effect evaluation and feedback module, calculating the change rate of enterprise compliance indexes and operation indexes after execution, performing deviation analysis on the enterprise compliance indexes and the operation indexes and target values required by policies, and generating an effect evaluation report; The scheme iteration optimization module establishes a decision optimization knowledge base based on an experience base, adopts a case similarity matching algorithm, retrieves experience training of similar cases in the knowledge base when enterprises initiate similar decision requests, automatically pushes optimization suggestions, supports manual labeling of new information, synchronizes the new information to the knowledge base, and simultaneously transmits experience data to the analysis and disassembly unit and the matching and risk pre-judging unit.
  8. 8. The intelligent interaction platform for servicing corporate policy decisions of claim 7, wherein the data security and operation and maintenance unit is specifically as follows: The hierarchical data desensitization module processes enterprise data according to data sensitivity, the production energy consumption adopts a range desensitization algorithm to convert specific numerical values into interval ranges, the financial data adopts a role authority isolation technology to only open access authorities to enterprise authorized personnel, and the supply chain data sets different data viewing detail levels according to cooperation levels; The dynamic authority adaptation module takes enterprise scale, policy secret-related level and resource type as authority judging attributes, establishes an attribute and authority mapping rule base, records key operation in the resource coordination process and generates a structured audit log; A unified interface access inlet is constructed through a cross-system security collaboration module, interactive data of the platform and the ERP and third-party service system are encrypted and transmitted through a national secret SM4 algorithm, and the integrity of the interactive data is checked through hash value comparison every hour; the intelligent operation and maintenance module monitors the running state of the system in real time through performance monitoring indexes, sets a threshold early warning rule, triggers fault early warning when the indexes are out of limit, adopts a main and standby node cluster technology, automatically switches to a standby node when the main node breaks down, and performs classified storage on operation and maintenance logs generated in the operation and maintenance process.

Description

Intelligent interaction platform for service of enterprise policy decision Technical Field The invention belongs to the technical field of enterprise policy decision intelligence, and particularly relates to an intelligent interaction platform for serving enterprise policy decisions. Background In the business operation development of enterprises, policy compliance and policy bonus conversion capability have become key factors influencing enterprise cost control, market competitiveness and long-term development, and as government policy systems of all levels become increasingly complex, the prior art systems have difficulty in supporting closed-loop management from policy acquisition to implementation of landing, specifically as follows: The current mainstream policy service platform only realizes the functions of extracting and displaying the policy texts, lacks the structural disassembly capability for the requirements of the macroscopic policies, cannot convert the requirements of the policies into concrete business actions which can be used for the enterprise to fall to the ground, so that the enterprise cannot understand and do the business when facing the policies, part of the enterprises still miss the reporting window period of the policies due to undefined execution paths, the prior art does not realize the associated interpretation of the cross-level policies, and the enterprise easily omits key information such as local subsidy rules, regional special requirements and the like, thereby further causing the problems of inconsistent reporting materials, compliance audit failure and the like. The existing policy risk assessment technology is mostly dependent on static data such as enterprise registration information, historical compliance data and the like to be matched with policies, potential policy risks cannot be predicted by combining with an enterprise dynamic operation plan, for example, when a part of electronic enterprises plan a newly added production line, the energy consumption limit policies and project construction periods of an unassociated area cause forced shutdown due to excessive energy consumption after the production line is built, the matching of a policy buffering period and an enterprise modification period is not considered in the prior art, reasonable modification starting time cannot be reversely pushed, and the condition that the enterprise triggers illegal punishment due to modification overtime often occurs. On the one hand, when an enterprise declares that the policy is subsidy and the compliance is realized, the platform cannot track the auditing progress in real time and the compliance is improved, so that the enterprise is difficult to respond to the problems in the execution process in time, on the other hand, when the enterprise subsequently faces the similar policy decision, the enterprise needs to repeatedly comb the flow and re-summarize the experience, so that the efficiency is low, repeated mistakes are easily caused due to the fact that the history teaching training is not multiplexed, and the continuous optimization of the policy decision capability cannot be formed. Disclosure of Invention The invention aims to provide an intelligent interaction platform for serving enterprise policy decisions, so as to solve the problems in the background technology. In order to achieve the above purpose, the invention provides a technical scheme that an intelligent interaction platform for serving enterprise policy decisions comprises: The policy and matched resource acquisition unit is used for acquiring industry policy information and regional policy cooperative data and classifying and storing the floor cases, resource information and mapping template data of policies and businesses; the analysis and disassembly unit is used for identifying policy elements and rules, executing the mapping templates of the policies and the services, generating a dedicated execution path, and generating a mediation scheme and a mediation basis by combining historical execution data; The business scene mapping unit is used for constructing an enterprise image, storing enterprise core information and marking business characteristics, collecting production and supply chain data, modeling according to an industry scene, carrying out labeling treatment, and associating an enterprise plan with the regional policy cooperative data; The matching and risk pre-judging unit is used for calculating the early warning window period and the matching degree based on the enterprise portraits, constructing a three-dimensional risk conducting chain and quantifying the conducting probability so as to pre-judge the risks, identify the policy bonus and mark the deadline and the bill of materials; the risk intervention and execution guiding unit is used for making an intervention strategy according to the risk level, outputting an associated list of actions, resources and standards, integrating a policy exclus