CN-122022574-A - Environmental protection technical service consultation management system based on big data

Abstract

The invention provides an environmental protection technical service consultation management system based on big data, which relates to the technical field of environmental protection informatization and big data intelligent service, and comprehensively evaluates the coverage integrity, time effectiveness and multi-source consistency of consultation data by acquiring the process running state, pollutant emission characteristics, environmental protection regulations and historical consultation information of enterprises through multi-source cooperation, so as to reduce the consultation deviation risk caused by insufficient data quality; the method further combines the process characteristics, the emission characteristics and the rule applicability conditions of enterprises to analyze the process matching performance, the expected treatment effect and the implementation risk of the environmental protection technical scheme, output optimization suggestions for technical type selection and implementation paths, and finally comprehensively evaluate the compliance implementation effect and the operation stability of the technical scheme to form a risk prompt, constraint suggestions and a data feedback mechanism, so that scientific decision and continuous optimization of the environmental protection technical consultation scheme are realized.

Inventors

• LI KAI

Assignees

• 山西嘉孚生态科技有限公司

Dates

Publication Date

20260512

Application Date

20260128

Claims (10)

1. 1. The environment-friendly technical service consultation management system based on big data is characterized by comprising the following specific steps: The system comprises a data acquisition module, a process operation data set, an emission state characteristic data set and a regulation consultation history data set, wherein the data acquisition module is configured to carry out multi-source collaborative acquisition on the process operation state, the pollutant emission characteristic and the environmental protection regulation and history consultation information of a consultation enterprise; the credible data quality comprehensive evaluation module is configured to comprehensively evaluate the coverage integrity, time effectiveness and multisource consistency of data used for consultation based on a process operation data set, an emission state characteristic data set and a rule consultation historical data set, and trigger adjustment processing of a data acquisition range, acquisition frequency or a data consistency verification mode when an evaluation result does not meet preset conditions so as to eliminate consultation conclusion deviation risks caused by insufficient basic data quality; the environment-friendly technical scheme suitability analysis module is configured to comprehensively analyze the process matching degree, the expected treatment effect and the implementation risk of the environment-friendly technical scheme based on the enterprise process characteristics, the emission characteristics and the rule application conditions on the basis that the credibility of the consultation data meets the requirements, and output optimization suggestions for technical scheme selection, technical parameter configuration or implementation path adjustment when the suitability is insufficient so as to reduce the risks of technical mismatching and insufficient expected treatment effect; The technical implementation compliance effect comprehensive evaluation module is configured to comprehensively evaluate the technical scheme on the premise that the suitability of the technical scheme meets the standards, judge whether the technical scheme has implementation feasibility and compliance predictability according to evaluation results, output compliance risk prompt and constraint implementation suggestion when the evaluation is unqualified, and feed back information for data updating and scheme optimization of consultation scenes.
2. 2. The environmental protection technical service consultation management system based on big data according to claim 1, wherein the data acquisition module comprises an enterprise operation process data acquisition unit, an environmental emission state data acquisition unit and a regulation consultation history data acquisition unit; The enterprise operation process data acquisition unit is used for continuously monitoring basic attributes of the enterprise to be consulted and the operation state of the pollution treatment process, acquiring relevant data of the industry category, the production scale level, the main production process type data, the operation state parameters of the pollution treatment facility, the energy consumption data of the pollution treatment facility and the treatment efficiency of the pollution treatment facility by adopting an industrial data interface acquisition technology, an equipment state monitoring technology and an energy consumption metering technology through a butt joint enterprise information management system, a production control system and a field equipment acquisition terminal; The environment emission state data acquisition unit is used for dynamically monitoring pollutant emission behaviors and time variation characteristics of enterprises, and by installing environment monitoring equipment at the positions of an enterprise emission port, a key process node or a peripheral environment, and adopting an online environment monitoring technology, a sensor data acquisition technology and a time sequence synchronous acquisition method, pollutant emission concentration data and pollutant emission total amount data are acquired; The regulation consultation historical data acquisition unit is used for uniformly acquiring the compliance constraint information and the historical consultation experience data required by the consultation of the environmental protection technical service, acquiring environmental protection law and regulation, emission standards and technical specification data corresponding to different areas and different time by adopting a regulation text analysis technology, a structured data grabbing technology and a historical case data collection method through an Internet data service interface and a cloud data synchronization interface, acquiring pollutant limit value parameters and applicable condition information corresponding to various regulation standards, acquiring consultation scheme content, implementation paths and technical selection information of the historical environmental protection technical consultation project, acquiring implementation effect data and compliance examination feedback results of the historical consultation project, and establishing a regulation consultation historical data set.
3. 3. The environmental protection technology service consultation management system based on big data according to claim 1, characterized in that the credible data quality comprehensive assessment module comprises a data credibility parameter mapping unit, a first calculation unit and a first analysis unit; The data reliability parameter mapping unit is used for carrying out statistical processing on the coverage condition of the collected data within the data range required by the preset consultation by adopting a data integrity statistical analysis technology based on a process operation parameter set, a discharge state characteristic parameter set and a regulation and consultation history parameter set to obtain data coverage parameters, carrying out analysis processing on the time difference between the data collection time and the current consultation time by adopting a time stamp analysis technology and a timeliness evaluation method based on the process operation parameter set and the discharge state characteristic parameter set to obtain data timeliness parameters, and carrying out analysis processing on the data consistency of corresponding indexes between different data sets by adopting a multi-source data consistency verification technology and a deviation analysis technology based on the process operation parameter set and the discharge state characteristic parameter set to obtain the data consistency parameters.
4. 4. The environmental protection technology service consultation management system based on big data of claim 3, wherein said first calculating unit is used for calculating and obtaining the credibility coefficient of the consultation data after dimensionless processing through the obtained data coverage parameter, the data timeliness parameter and the data consistency parameter.
5. 5. The environmental protection technology service consultation management system based on big data of claim 3, wherein the first analysis unit is configured to obtain a first evaluation result by presetting a reliability threshold of the consultation data and comparing and analyzing the reliability coefficient of the consultation data with the reliability threshold of the consultation data, and includes: when the reliability coefficient of the consultation data is more than or equal to the reliability threshold of the consultation data, the current reliability of the consultation data is qualified, a reliable data identifier is generated, and continuous monitoring is performed; When the reliability coefficient of the consultation data is smaller than the reliability threshold value of the consultation data, the current reliability of the consultation data is unqualified, the consultation conclusion deviation or compliance judgment risk is caused by data deficiency, data lag or multi-source data inconsistency, a first early warning instruction is triggered, a first strategy is generated, namely the acquired data range is completed, a data acquisition module is rescheduled, the type of basic acquired data which is not covered is subjected to supplementary acquisition, the coverage range of the basic data on a consultation scene is expanded, the time difference between the data acquisition time and the current consultation time is shortened, the aging effectiveness of the basic data is improved, consistency verification and synchronization processing are re-executed, the systematic deviation between the multi-source basic data is reduced, and the first strategy is recalculated until the reliability coefficient of the consultation data is larger than or equal to the reliability threshold value of the consultation data.
6. 6. The environmental protection technical service consultation management system based on big data of claim 1, wherein the environmental protection technical scheme suitability analysis module comprises a technical scheme suitability parameter mapping unit, a second calculation unit and a second analysis unit; The technical scheme adaptation parameter mapping unit is used for screening data sources by combining with pollutant limit value parameters and applicable condition information corresponding to various regulation standards in the regulation consultation historical data set, adopting a process feature vector construction and rule constraint matching analysis method to carry out matching analysis processing to obtain process matching degree parameters, extracting implementation effect data and compliance inspection feedback results of historical consultation items by the reliable data identification based on the regulation consultation historical data set, carrying out statistical analysis processing on the historical implementation effect data under the same process conditions in the process operation data set to obtain treatment effect prediction parameters, extracting energy consumption data of the pollution treatment facilities and treatment efficiency related data of the pollution treatment facilities in the process operation data set based on the reliable data identification, and carrying out associated risk analysis and data of the historical consultation feedback results by adopting a multi-factor associated risk analysis and data case statistics method to obtain implementation risk analysis and risk assessment parameters.
7. 7. The environmental protection technical service consultation management system based on big data of claim 6, wherein the second calculating unit is used for calculating and obtaining the adaptability coefficient of the environmental protection technical scheme by using a weighted linear fusion calculating method after dimensionless processing through the obtained process matching degree parameter, the treatment effect prediction parameter and the implementation risk parameter.
8. 8. The environmental protection technology service consultation management system based on big data of claim 6, wherein the second analysis unit is configured to obtain a second evaluation result by presetting an environmental protection technology solution suitability threshold, and comparing and analyzing the environmental protection technology solution suitability coefficient and the environmental protection technology solution suitability threshold, and the method comprises the following steps: When the suitability coefficient of the environmental protection technical scheme is more than or equal to the suitability threshold of the environmental protection technical scheme, the suitability of the current environmental protection technical scheme and the process condition of an enterprise is qualified, and continuous monitoring is performed; When the suitability coefficient of the environmental protection technical scheme is smaller than the suitability threshold value of the environmental protection technical scheme, the condition suitability of the current environmental protection technical scheme and the enterprise process condition is unqualified, the risks of mismatching of technical types and insufficient treatment effect are caused, a second early warning instruction is triggered, a second strategy is generated, namely, an environmental protection technical candidate scheme matched with the current enterprise process condition and emission characteristic is output based on a process operation data set, an emission state characteristic data set and a rule consultation historical data set and is used for replacing the current technical scheme with insufficient suitability, consultation decision bias caused by a single technical path is avoided, retrospective analysis is carried out on the implementation path and an application scene corresponding to the current technical scheme in the rule consultation historical data set, key influence factors with insufficient suitability are identified, the technical parameter configuration mode or the technical combination logic related in the technical scheme is adjusted accordingly, the optimized technical configuration suggestion is formed, key risk links in the technical implementation process are decomposed and evaluated based on the history consultation project implementation effect data and the rule consultation feedback result, uncertainty in the implementation process is reduced, and the stability and the executable performance of the technical scheme in the practical application process are improved.
9. 9. The environmental protection technical service consultation management system based on big data according to claim 1, characterized in that the technical implementation compliance effect comprehensive evaluation module comprises a compliance implementation effect parameter mapping unit, a third calculation unit and a third analysis unit; The method comprises the steps of carrying out treatment efficiency related data of a pollution treatment facility in a process operation data set, carrying out calculation on a predicted emission level under the implementation condition of a current technical scheme by adopting an emission level prediction analysis method based on emission concentration data and emission total amount data of pollutants in an emission state characteristic data set, carrying out analysis processing on a safety margin between the predicted emission level and a corresponding regulation limit by adopting a safety margin assessment method based on pollutant limit value parameters and applicable condition information corresponding to various regulation standards in a regulation consultation historical data set, obtaining a compliance risk parameter, carrying out analysis processing on the energy consumption data of the pollution treatment facility and the treatment efficiency related data of the pollution treatment facility in the process operation data set based on the consultation scheme content, the implementation path, the technical choice information and the compliance examination feedback result of the historical environmental protection technical consultation items in the regulation consultation historical data set, screening historical consultation items which are identical to the current technical scheme in terms and emission characteristics by adopting a credible data identification, carrying out statistical treatment on the passing condition of the same consultation items in a monitoring management analysis method, and obtaining a historical compliance feedback parameter based on the operation state parameter, carrying out long-term stability analysis and carrying out long-term stability analysis on the operation characteristic of the pollution treatment facility.
10. 10. The environmental protection technical service consultation management system based on big data of claim 9, wherein the third calculation unit is used for calculating and obtaining a consultation comprehensive compliance implementation effect prediction coefficient by using a weighted linear fusion calculation method after dimensionless treatment through the obtained compliance risk parameter, the historical compliance feedback parameter and the long-term operation stability parameter; the third analysis unit is configured to perform a comparative analysis on the consulting comprehensive compliance implementation effect prediction coefficient and the consulting comprehensive compliance implementation effect threshold by presetting the consulting comprehensive compliance implementation effect threshold, and the obtaining a third evaluation result includes: When the prediction coefficient of the comprehensive compliance implementation effect of the consultation is more than or equal to the threshold value of the comprehensive compliance implementation effect of the consultation, the comprehensive evaluation of the current environmental protection technology consultation scheme is qualified, the finally recommended environmental protection technology service consultation scheme is output, and the parameter calculation result, the evaluation conclusion and the implementation suggestion of the consultation are collected into a regulation consultation historical data set to form a continuous accumulation and self-optimization data closed loop; When the comprehensive counseling implementation effect prediction coefficient is smaller than the comprehensive counseling implementation effect threshold value, the comprehensive evaluation of the current environment-friendly technical counseling scheme is unqualified, risks of insufficient compliance risks and operation stability exist, the feasibility of implementation and the passing predictability of supervision are not possessed, a third early warning instruction is triggered, a third strategy is generated, namely, compliance risk prompt information aiming at the current technical scheme is output, potential overproof risks or rule applicable uncertainty sources are clearly pointed out and used for assisting counseling staff in carrying out risk notification, a compliance examination feedback result in a rule counseling historical data set is based, constraint implementation suggestion is generated, technical implementation conditions, operation boundaries or application range are limited, the implemented compliance risks are reduced, and the evaluation result is returned to a data acquisition module to serve as data supplement and scheme adjustment optimization references in a subsequent counseling scene.

Description

Environmental protection technical service consultation management system based on big data Technical Field The invention relates to the technical field of environmental protection informatization and big data intelligent service, in particular to an environmental protection technical service consultation management system based on big data. Background Along with the continuous perfection of the ecological environment protection supervision system in China, the industrial enterprises continuously increase the consultation demands of specialized and refined environment-friendly technical services in the processes of pollution control facility construction, operation management and environment-friendly compliance decision-making. The prior environmental protection technology service consultation generally needs to comprehensively analyze the operation process conditions, pollutant emission states and related environmental protection laws and regulations and historical compliance experience of enterprises, and essentially belongs to a comprehensive decision service process relying on multi-source heterogeneous data support. In the prior art, the related consultation system is judged based on a scattered information system or artificial experience, and although part of the systems start to introduce large data resource service, database and cloud database service and acquire regulation information or emission monitoring data through an internet data service mode, the following outstanding problems still exist in practical application: on the one hand, the collection and management of the enterprise operation process data, the environment emission state data, the regulation and history consultation data by the existing consultation system are often mutually independent, a unified data credibility assessment mechanism is lacked, the problems of data deletion, data lag or inconsistent multi-source data are easy to occur, deviation risks exist in the consultation conclusion, and the requirement of fine environmental protection decision is difficult to meet. On the other hand, the environment-friendly information system constructed based on the cloud computing software and the cloud fusion application operation support platform software is mainly focused on the data storage and display functions, and a new generation of mass information intelligent search software or data mining software is introduced for information retrieval and analysis, but in the environment-friendly technical scheme selection process, a layering quantitative evaluation mechanism for 'data credibility-technical scheme suitability-comprehensive compliance and implementation effect' is still generally lacking, and key problems such as mismatching of technical types, insufficient expected treatment effect or long-term operation compliance risk are difficult to systematically identify. In addition, the environmental protection technology consultation decision process in the prior art mainly comprises one-time judgment, lacks a closed-loop mechanism based on continuous accumulation and feedback optimization of historical consultation results, fails to fully exert the value of the cloud database and the historical case data in the aspect of consultation quality improvement, and is difficult to realize long-term evolution and self-optimization of consultation service capacity. Disclosure of Invention The invention aims to provide an environmental protection technical service consultation management system based on big data so as to solve the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: An environmental protection technical service consultation management system based on big data specifically includes: The system comprises a data acquisition module, a process operation data set, an emission state characteristic data set and a regulation consultation history data set, wherein the data acquisition module is configured to carry out multi-source collaborative acquisition on the process operation state, the pollutant emission characteristic and the environmental protection regulation and history consultation information of a consultation enterprise; the credible data quality comprehensive evaluation module is configured to comprehensively evaluate the coverage integrity, time effectiveness and multisource consistency of data used for consultation based on a process operation data set, an emission state characteristic data set and a rule consultation historical data set, and trigger adjustment processing of a data acquisition range, acquisition frequency or a data consistency verification mode when an evaluation result does not meet preset conditions so as to eliminate consultation conclusion deviation risks caused by insufficient basic data quality; the environment-friendly technical scheme suitability analysis module is configured to comprehensively analyze t