Statistical analysis method and system for radioactive solid waste discharge based on multi-source tracking single data fusion

Abstract

The application discloses a radioactive solid waste discharge statistical analysis method and system based on multi-source tracking single data fusion. The method comprises the following steps: S1, providing a tracking single standard template and collecting radioactive solid waste discharge data; S2, settling and summarizing the radioactive solid waste discharge data, and converting different types of radioactive solid waste into a unified estimated prepared volume according to a settlement coefficient based on a rule engine; S3, generating a curve graph and trend analysis according to the settlement and summary result; S4, recording all operation processes; and S5, abnormal early warning and threshold management. The application is not dependent on semantic analysis, adopts a template+rule engine mode, is more stable and simple to maintain, provides a trend graph and prediction function, assists nuclear power plant resource planning, and has strong scalability and supports waste type addition and refinement.

Description

Technical Field

[0001] This invention relates to the field of nuclear power plant quality management technology, and in particular to a statistical analysis method and system for radioactive solid waste emissions based on multi-source tracking single data fusion. Background Technology

[0002] The current management of radioactive solid waste in nuclear power plants involves tracking documents from multiple departments and sources, and generally suffers from the following technical problems: 1. Heterogeneous data sources and difficulties in integration: Different departments use different waste tracking form formats and have inconsistent field definitions. The lack of a standardized data entry mechanism makes it difficult to automatically integrate and compare multi-source data, relying on manual entry and conversion, which is prone to errors and inefficient.

[0003] 2. Manual summarization is inefficient and time-consuming: Waste statistics usually rely on tools such as Excel for manual classification, conversion and summarization, which is labor-intensive and time-consuming, and it is difficult to support rapid statistics and dynamic updates in multiple dimensions such as daily, monthly and yearly.

[0004] 3. Poor data traceability, making it difficult to meet nuclear safety audit requirements: Traditional methods lack system-level association of original documents, making it difficult to trace back to specific tracking documents, which makes it difficult to meet the strict requirements of nuclear safety supervision for data traceability and auditability.

[0005] 4. Low level of visualization and difficulty in trend analysis: Existing statistical methods are mostly based on static reports, lacking dynamic chart support, and cannot intuitively display the amount of various types of waste generated and processed. There is no risk warning of backlog, making it difficult to provide decision support for management.

[0006] 5. Lack of early warning mechanism, unable to monitor emission progress and stock risks in real time: There is a lack of system-level threshold monitoring and early warning mechanism for waste temporary storage capacity, annual emission plan, etc., making it difficult to detect and deal with abnormal situations in a timely manner, and there is a risk of over-emission or over-storage.

[0007] Therefore, there is an urgent need for an improved statistical method and system for radioactive solid waste emissions. Summary of the Invention

[0008] The purpose of this application is to overcome the shortcomings of existing technologies and propose a statistical analysis method and system for radioactive solid waste emissions based on multi-source tracking single data fusion. Through structured data mapping, template-driven data fusion, and automated aggregation mechanisms, it achieves efficient and accurate statistical analysis. It enables intelligent processing of unified multi-source tracking single data collection, automated aggregation and statistics, visualized trend analysis, end-to-end data traceability, and anomaly early warning.

[0009] To address the aforementioned technical problems, this application provides a method for statistical analysis of radioactive solid waste emissions based on multi-source tracking single data fusion, characterized by the following steps: Step S1: Provide a standard template for the tracking form to collect data on radioactive solid waste emissions. Step S2: Settle and summarize the radioactive solid waste emission data, and convert different types of radioactive solid waste into a unified estimated volume after preparation based on the rule engine according to the settlement coefficient; Step S3: Generate curve charts and trend analysis based on the settlement summary results.

[0010] As one aspect of the above method, it is characterized by further comprising: step S4, recording all operation processes; and Step S5: Anomaly Warning and Threshold Management.

[0011] As another approach to the above method, the standard template includes predefined field specifications: date of generation of radioactive solid waste, source, temporary storage location, volume and quantity, maximum dose rate of transmission pipeline, exposure dose rate, and specific activity; Tracking slip types include waste resin and activated carbon and zeolite tracking slips, sludge tracking slips, bulky and special waste tracking slips, waste oil and solvent tracking slips (10 liters or more), waste oil and solvent tracking slips (less than 10 liters), wastewater filter cartridge tracking slips, technical waste tracking slips, ventilation filter cartridge tracking slips, and radioactive solid waste tracking slips. The waste resin and activated carbon and zeolite tracking slips represent one of waste resin, activated carbon, and zeolite, with zeolite including zeolite and zeolite doped with adsorbents. The 10 liters or more waste oil and solvent tracking slips and the less than 10 liters waste oil and solvent tracking slips both represent the capacity of a single collection. Bulky and special waste refers to one of bulky waste and special waste. Bulky waste is waste whose volume or length exceeds the size of the waste bin and cannot be placed in it. Special waste is waste that is not allowed to be placed in waste bins or is not accepted by the disposal unit.

[0012] As another aspect of the above method, the feature is that, in step S2, different types of radioactive solid waste are converted into a unified estimated volume after preparation according to volume, quantity, and weight using a settlement factor, as follows: Estimated volume after preparation: Volume / 1000 * Settlement coefficient; Estimated volume after preparation based on weight = weight * settlement coefficient; Estimated volume after preparation based on number of items = number of items * settlement coefficient; The total estimated volume after maintenance of the tracking order = estimated volume after maintenance by volume + estimated volume after maintenance by weight + estimated volume after maintenance by number of items.

[0013] As another embodiment of the above method, the feature is that, in step S2, the total estimated prepared volume of the tracking orders within the set time interval is summarized; and the total estimated prepared volume of the tracking orders in the processing state is summarized according to the processing state.

[0014] As another way of the above method, the characteristic is that, in step S3, generating the curve and trend analysis includes: setting a statistics page to automatically generate a time trend graph, displaying the curve of the cumulative estimated total volume of various types of waste after preparation changing over time.

[0015] As a further aspect of the above method, the method is characterized in that, in step S3, it further includes: overlaying the curves of waste “generation” and “processed” on a time trend graph to identify the risk of retention.

[0016] As a further aspect of the above method, the feature is that recording all operation processes in step S4 includes: recording the source tracking order number, submission time, submitter, processor, and processing time for each summary data; and setting a button in the curve chart to trace back to the original tracking order from the summary curve chart when the button for the corresponding waste is clicked; In step S5: set the thresholds for the "annual emission plan" and "temporary storage limit" for various types of waste, and send an alert when it is determined that the annual waste emission or waste temporary storage exceeds the set threshold.

[0017] This invention also provides a statistical analysis system for radioactive solid waste emissions based on multi-source tracking single data fusion, used to implement the aforementioned statistical analysis method for radioactive solid waste emissions, characterized in that it includes: The data acquisition module provides a standard template for tracking forms to collect data on radioactive solid waste emissions. The settlement and summary module is used to classify and summarize radioactive solid waste emission data. Based on the rule engine, different types of radioactive solid waste are converted into a unified estimated volume after preparation according to the settlement coefficient. The curve generation and trend analysis module is used to generate curves and trend analyses based on the settlement summary results; the curve generation and trend analysis module includes a display unit for displaying the curves and trend analysis results.

[0018] As a further embodiment of the above system, it is characterized by further comprising: an operation recording module for recording all operation processes; and a threshold management and anomaly warning module for sending a warning message when waste data exceeds a set threshold; and The data acquisition module, settlement and summary module, curve generation and trend analysis module, operation record module, and threshold management and anomaly warning module communicate with each other via wired or wireless means.

[0019] Compared with the prior art, the present invention has the following beneficial effects: 1. It does not rely on NLP (semantic analysis) and adopts a template + rule engine, which is more stable and easier to maintain; 2. Full-process data traceability to meet nuclear safety regulatory requirements; 3. Provides trend charts and forecasting functions to assist in nuclear power plant resource planning; 4. Highly scalable, supporting the addition and refinement of waste types; Attached Figure Description

[0020] Figure 1 The following is a flowchart illustrating the overall process of the radioactive solid waste emission statistics method according to a specific embodiment of the present invention. Detailed Implementation

[0021] The technical solutions provided in this application are further illustrated below with reference to the embodiments.

[0022] like Figure 1 As shown in the figure, the present invention provides a method for statistical analysis of radioactive solid waste emissions based on multi-source tracking single data fusion. Its main functionalities include multi-source tracking single structured data acquisition, rule-based classification and settlement aggregation, dynamic curve generation and trend analysis, data tracing and audit tracking, and anomaly warning and threshold management. This method for statistical analysis of radioactive solid waste emissions includes the following steps: Step S1: Provide a standard template for tracking forms to collect structured radioactive solid waste emission data. Tracking slip types include waste resin and activated carbon and zeolite tracking slips, sludge tracking slips, bulky and special waste tracking slips, waste oil and solvent tracking slips (10 liters or more), waste oil and solvent tracking slips (less than 10 liters), wastewater filter cartridge tracking slips, technical waste tracking slips, ventilation filter cartridge tracking slips, and radioactive solid waste tracking slips. The waste resin and activated carbon and zeolite tracking slips represent one of waste resin, activated carbon, or zeolite, with zeolite including zeolite and zeolite doped with adsorbents. The 10 liters or more and less than 10 liters waste oil and solvent tracking slips both indicate the volume collected in a single instance. Bulky and special waste refers to one of bulky waste or special waste. Bulky waste generally refers to waste whose volume or length exceeds the size of the waste bin and cannot be placed in it. Special waste generally refers to waste that is not allowed to be placed in bins or that the disposal unit will not accept, such as flammable and explosive materials, highly corrosive materials, animal carcasses, pathogens, and highly toxic substances.

[0023] A standard tracking form template is provided, which includes predefined field specifications such as: date of generation of radioactive solid waste, source, temporary storage location, volume / quantity, maximum dose rate of transmission pipeline (mSv / h), exposure dose rate (μSv / h), specific activity, etc. The standard tracking form template ensures structured data and is usable by different departments. All tracking forms must adhere to the predefined field specifications when submitted. Departments can fill out and submit various tracking forms from PC and / or mobile devices. Each tracking form has a corresponding approval process. Tracking forms can be categorized as follows: waste resin and activated carbon and zeolite (adsorbent) tracking forms, silt tracking forms, bulky and special waste tracking forms, waste oil and solvent tracking forms (≥10 liters), waste oil and solvent tracking forms (<10 liters), wastewater filter cartridge tracking forms, technical waste (≥2 mSv / h) tracking forms, ventilation filter cartridge tracking forms, and radioactive solid waste entry. In this embodiment, the tracking form types include nine categories: waste resin / activated carbon / zeolite (adsorbent), sludge, bulky and special waste, waste oil / solvent (≥10 liters), waste oil / solvent (<10 liters), wastewater filter cartridges, technical waste (≥2 mSvh), ventilation filter cartridges, and radioactive solid waste. These are fixed terms. Radioactive solid waste entry is a special tracking form, which includes five types: [incompressible waste], [compressible waste], [combustible and compressible], [waste awaiting cleaning and decontamination], and [moisture-containing waste].

[0024] Step S2: Classify and summarize the radioactive solid waste emission data; The tracking forms are categorized into several types: incompressible waste, compressible waste, combustible and compressible waste, waste awaiting cleaning and release, water-containing waste, wastewater filter cartridge waste, ventilation filter cartridge waste, waste resin, activated carbon waste, zeolite (adsorbent) waste, radioactive waste oil, silt, bulky waste, special waste, and technical waste (≥2mSvh). The tracking forms include a "type" field for categorization.

[0025] Classification and settlement summary based on a rule engine: According to the pre-set statistical formula for radioactive solid waste, different settlement coefficients can be set for different types of radioactive solid waste. The volume, quantity, weight, etc. are converted into a uniform estimated volume after preparation according to the settlement coefficient, which facilitates the comparison of total quantities. The statistical units for estimating different types of waste are divided into three types: volume (L), weight, and number.

[0026] Estimated volume after preparation: Volume (L) / 1000 * Settlement coefficient; Estimated volume after preparation based on weight = weight * settlement coefficient; Estimated volume after preparation based on number of items = number of items * settlement coefficient; The settlement coefficient can be customized in the statistical formula for radioactive solid waste, and different types of tracking orders have different calculation coefficients.

[0027] The total estimated volume after maintenance of the tracking order = estimated volume after maintenance by volume + estimated volume after maintenance by weight + estimated volume after maintenance by number of items.

[0028] Furthermore, multi-level summaries are performed based on dimensions such as time (day / month / year) and processing status to generate dynamic statistical reports. The steps for summarizing by time are as follows: summarize the total estimated volume after preparation of the tracking orders within the set time interval. The processing status is divided into processed and unprocessed. The steps for summarizing by processing status are as follows: summarize the total estimated volume after preparation of the tracking orders in the processing status.

[0029] Step S3: Generate a dynamic curve chart and trend analysis based on the settlement summary results; Based on the settlement summary results, dynamic curves and trend analysis are performed: the statistics page automatically generates a time trend chart, showing the curve of the cumulative total amount of various types of waste changing over time; Furthermore, it may also include: generating a processing progress comparison chart, that is, overlaying curves of waste “generation” and “processed” to identify the risk of retention; Furthermore, it also includes: selecting the time range for chart display, i.e. displaying dynamic curves based on the selected time range; switching the dimensions of chart display, i.e., "multi-level summarization by time (day / month / year), processing status, etc.", allowing switching between time dimension and processing status dimension display.

[0030] Furthermore, it also includes the function of exporting settlement summary data; Furthermore, it also includes: a curve showing a comparison with previous cycles of year-on-year growth or decline; Step S4: Record all operation processes; All operations are recorded to enable data traceability and audit tracking: Each summary data entry records the source tracking order number, submission time, submitter, processor, and processing time; buttons are set in the graph to trace back to the original tracking order from the summary graph when the button for the corresponding waste is clicked, achieving full-process traceability "from curve to document"; all operations are logged to meet nuclear safety audit requirements. For example, clicking on the incompressible waste graph will display all incompressible waste tracking orders within the statistical dimension, with each tracking order recording information such as the waste's generation time, generation location, temporary storage location, and treatment method.

[0031] Step S5: Anomaly Warning and Threshold Management; Specific steps: Set the thresholds for the "annual emission plan" and "temporary storage limit" for various types of waste. When the annual waste emission or temporary storage amount exceeds the set threshold, an alert is sent. The threshold for the annual emission plan is preset and serves as a threshold; if the annual waste emission exceeds the threshold, an alert is sent. The threshold for the temporary storage limit can also be modified according to actual conditions.

[0032] Furthermore, the warning information can be pushed to the email address or ledger of the waste disposal management personnel, triggering subsequent processing procedures.

[0033] Accordingly, a specific embodiment of the present invention also provides a radioactive solid waste emission statistical analysis system based on multi-source tracking single data fusion, used to implement the above-mentioned radioactive solid waste emission statistical analysis method, including: The data acquisition module provides a standard template for tracking forms to collect structured radioactive solid waste emission data. A standard tracking form template is provided, which includes predefined field specifications such as: date of radioactive solid waste generation, source, temporary storage location, volume / quantity, maximum dose rate of transmission pipeline (mSv / h), exposure dose rate (μSv / h), specific activity, etc. The standard tracking form template ensures structured data and is usable by different departments. All tracking forms must adhere to the predefined field specifications when submitted.

[0034] The classification and settlement summary module is used to classify and summarize radioactive solid waste emission data; Classification and settlement summary based on rule engine: According to the pre-set system built-in statistical formula for radioactive solid waste, different settlement coefficients can be set for different types of radioactive solid waste. The volume, quantity, weight, etc. are converted into a uniform estimated volume after preparation according to the settlement coefficient, which is convenient for total comparison. Furthermore, multi-level summaries are performed according to dimensions such as time (day / month / year) and processing status to generate dynamic statistical reports; the total estimated volume after preparation of tracked orders within a set time interval is also summarized. The processing status is divided into processed and unprocessed. The steps for summarizing according to the processing status are as follows: summarize the total estimated volume after preparation of tracked orders in that processing status.

[0035] The curve generation and trend analysis module is used to generate dynamic curves and trend analyses based on the settlement summary results. Based on the settlement summary results, dynamic curves and trend analysis are performed: the statistics page automatically generates a time trend chart, showing the curve of the cumulative total amount of various types of waste changing over time; Furthermore, it may also include: generating a processing progress comparison chart, that is, overlaying curves of waste “generation” and “processed” to identify the risk of retention; Furthermore, it also includes: selecting the time range for chart display; and switching the dimensions for chart display.

[0036] Furthermore, it also includes the function of exporting settlement summary data; Furthermore, it also includes: a curve showing a comparison with previous cycles of year-on-year growth or decline; The curve generation and trend analysis module includes a display unit for displaying curves and trend analysis results.

[0037] The operation log module is used to record all operation processes; Record all operation processes to achieve data traceability and audit tracking: Each summary data record includes the source tracking order number, submission time, submitter, processor, and processing time; supports tracing from summary charts back to the original tracking order, achieving full-process traceability "from curve to document"; all operations are logged to meet nuclear safety audit requirements; The threshold management and anomaly warning module is used to send warning information when the data exceeds the set threshold. Specific steps: For example, set thresholds for "annual emission plan" and "temporary storage limit" for various types of waste, and send an early warning message when it is determined that the annual emission plan or temporary storage limit exceeds the set threshold; Furthermore, the warning information can be pushed to the email address or ledger of the waste disposal management personnel, triggering subsequent processing procedures.

[0038] The data acquisition module, settlement and summary module, curve generation and trend analysis module, operation record module, and threshold management and anomaly warning module communicate with each other via wired or wireless means.

[0039] As can be seen from the above detailed description of this application, the innovative points and beneficial technical effects of this invention include: (1) It does not rely on NLP (semantic analysis), but adopts a template + rule engine, which is more stable and easier to maintain; (2) Data is recorded throughout the entire process to meet nuclear safety regulatory requirements; (3) Provide trend charts and forecasting functions to assist in nuclear power plant resource planning; (4) It has strong scalability and supports the addition and refinement of waste types.

[0040] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to the embodiments, those skilled in the art should understand that modifications or equivalent substitutions to the technical solutions of the present invention do not depart from the spirit and scope of the technical solutions of the present invention, and all such modifications or substitutions should be covered within the scope of the claims of the present invention.

Claims

1. A statistical analysis method for radioactive solid waste emissions based on multi-source tracking single data fusion, characterized in that, Includes the following steps: Step S1: Provide a standard template for the tracking form to collect data on radioactive solid waste emissions. Step S2: Settle and summarize the radioactive solid waste emission data, and convert different types of radioactive solid waste into a unified estimated volume after preparation based on the rule engine according to the settlement coefficient; Step S3: Generate curve charts and trend analysis based on the settlement summary results.

2. The statistical analysis method for radioactive solid waste emissions according to claim 1, characterized in that, It also includes: step S4, recording all operation processes; and Step S5: Anomaly Warning and Threshold Management.

3. The statistical analysis method for radioactive solid waste emissions according to claim 1, characterized in that, The standard template includes predefined field specifications: date of generation of radioactive solid waste, source, temporary storage location, volume and quantity, maximum dose rate of transmission pipeline, exposure dose rate, and specific activity; Tracking slip types include waste resin and activated carbon and zeolite tracking slips, sludge tracking slips, bulky and special waste tracking slips, waste oil and solvent tracking slips (10 liters or more), waste oil and solvent tracking slips (less than 10 liters), wastewater filter cartridge tracking slips, technical waste tracking slips, ventilation filter cartridge tracking slips, and radioactive solid waste tracking slips. The waste resin and activated carbon and zeolite tracking slips represent one of waste resin, activated carbon, and zeolite, with zeolite including zeolite and zeolite doped with adsorbents. The 10 liters or more waste oil and solvent tracking slips and the less than 10 liters waste oil and solvent tracking slips both represent the capacity of a single collection. Bulky and special waste refers to one of bulky waste and special waste. Bulky waste is waste whose volume or length exceeds the size of the waste bin and cannot be placed in it. Special waste is waste that is not allowed to be placed in waste bins or is not accepted by the disposal unit.

4. The statistical analysis method for radioactive solid waste emissions according to claim 1, characterized in that, In step S2, the different types of radioactive solid waste are converted into a unified estimated volume after preparation according to the volume, quantity, and weight using a settlement factor, as follows: Estimated volume after preparation: Volume / 1000 * Settlement coefficient; Estimated volume after preparation based on weight = weight * settlement coefficient; Estimated volume after preparation based on number of items = number of items * settlement coefficient; The total estimated volume after maintenance of the tracking order = estimated volume after maintenance by volume + estimated volume after maintenance by weight + estimated volume after maintenance by number of items.

5. The statistical analysis method for radioactive solid waste emissions according to claim 1, characterized in that, In step S2, the total estimated volume of the tracking orders after preparation is summarized according to the set time interval; and the total estimated volume of the tracking orders after preparation is summarized according to the processing status.

6. The statistical analysis method for radioactive solid waste emissions according to claim 1, characterized in that, In step S3, generating curves and trend analysis includes setting up a statistics page to automatically generate a time trend graph, displaying the curve of the cumulative estimated total volume of various types of waste after preparation changing over time.

7. The statistical analysis method for radioactive solid waste emissions according to claim 6, characterized in that, Step S3 also includes: overlaying the curves of "waste generation" and "waste processed" onto the time trend graph to identify the risk of retention.

8. The statistical analysis method for radioactive solid waste emissions according to claim 2, characterized in that, Step S4 records all operations, including: each summary data entry records the source tracking order number, submission time, submitter, processor, and processing time; and a button is set in the graph to trace back to the original tracking order from the summary graph when the corresponding waste button is clicked. In step S5: set the thresholds for the "annual emission plan" and "temporary storage limit" for various types of waste, and send an alert when it is determined that the annual waste emission or waste temporary storage exceeds the set threshold.

9. A statistical analysis system for radioactive solid waste emissions based on multi-source tracking single data fusion, used to implement the statistical analysis method for radioactive solid waste emissions as described in claim 1, characterized in that, include: The data acquisition module provides a standard template for tracking forms to collect data on radioactive solid waste emissions. The settlement and summary module is used to classify and summarize radioactive solid waste emission data. Based on the rule engine, different types of radioactive solid waste are converted into a unified estimated volume after preparation according to the settlement coefficient. The curve generation and trend analysis module is used to generate curves and trend analyses based on the settlement summary results. The curve generation and trend analysis module includes a display unit for displaying curve graphs and trend analysis results.

10. The radioactive solid waste emission statistical analysis system according to claim 9, characterized in that, Also includes: The operation log module is used to record all operation processes; The threshold management and anomaly warning module is used to send warning information when waste data exceeds the set threshold. as well as The data acquisition module, settlement and summary module, curve generation and trend analysis module, operation record module, and threshold management and anomaly warning module communicate with each other via wired or wireless means.

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