Intelligent coal resource monthly dispatching plan generation system

Abstract

The invention provides an intelligent monthly coal resource dispatching plan generation system, and belongs to the technical field of coal resource dispatching, the system comprises a target module, an integration module, a dispatching module and an adjustment module, the requirements of main groups are collected, data integration and analysis are carried out, and a coal initial plan meeting conditions is formulated; market changes are responded in real time through a dynamic adjustment mechanism, an allocation and transportation result is evaluated and fed back, a monthly allocation and transportation plan is continuously optimized, efficient and sustainable coal resource management is achieved, market demand changes are responded in time, information islands are broken, data sharing and cooperation among departments are enhanced, and sustainable energy management is supported.

Description

Technical Field

[0001] The present invention relates to the technical field of coal resource transportation, and in particular to an intelligent coal resource monthly transportation plan generation system. Background Art

[0002] As the world pays more attention to sustainable development, the efficiency and environmental protection issues in the transportation of coal, as an important energy resource, are increasingly attracting attention. Traditional coal transportation methods lack effective data sharing between different departments and systems, have information islands, and rely on experience for scheduling, lacking data support.

[0003] Therefore, the present invention provides an intelligent coal resource monthly transportation plan generation system. Summary of the invention

[0004] The present invention provides an intelligent coal resource monthly transportation plan generation system, which collects the needs of major groups, integrates and analyzes data, formulates an initial coal plan that meets the conditions, and responds to market changes in real time through a dynamic adjustment mechanism, evaluates and provides feedback on transportation results, and continuously optimizes the monthly transportation plan to achieve efficient and sustainable coal resource management, respond to changes in market demand in a timely manner, break information silos, enhance data sharing and collaboration between departments, and support sustainable energy management.

[0005] The present invention provides an intelligent coal resource monthly transportation plan generation system, comprising: Target module: collect the main groups involved in coal resource transportation, conduct demand analysis on the main groups, and determine the goals to be achieved; Integration module: determining the data sources involved in the main groups, collecting data based on the data sources involved, and integrating the collected data to obtain integration results; Transportation module: formulate qualified conditions according to the goals to be achieved and the integration results, determine the initial plan of coal resources based on the qualified conditions, dynamically adjust the initial plan according to the external allocation table, and form a monthly transportation plan for the month; Adjustment module: Evaluate the transportation results based on the transportation information corresponding to the monthly transportation plan, collect evaluation reports on the transportation effects from major groups, and make adjustments to those that meet the conditions based on the evaluation reports.

[0006] The present invention provides an intelligent coal resource monthly transportation plan generation system, the target module includes: Group determination unit: Analyze the overall structure of the coal industry, identify the link groups involved in each link of the overall structure, and at the same time, pay attention to the impact of market dynamics on the coal industry, identify possible related groups, and combine the link groups and possible related groups as the main groups; Target determination unit: collects demand information of the main groups, performs functional analysis on the demand information to obtain functional analysis results, derives functional requirements and non-functional requirements based on the functional analysis results, and combines the functional requirements and non-functional requirements to determine the goals to be achieved.

[0007] The present invention provides an intelligent coal resource monthly transportation plan generation system, integrating modules, including: Data source determination unit: identifies the data types required by the main groups based on the objectives to be achieved, and determines the initial data source corresponding to each main group according to the data types; Data collection unit: evaluates the initial data source to obtain an evaluation result, screens the initial data source based on the evaluation result to obtain the involved data source, and collects data based on the involved data source; Data integration unit: performs field matching on the collected data, determines the correspondence between similar fields in different involved data sources, maps the collected data corresponding to similar fields from different involved data sources based on the correspondence, integrates the collected data according to the mapping results, and obtains the integration results.

[0008] The present invention provides an intelligent coal resource monthly transportation plan generation system, a transportation module, including: Condition unit: segment the target to be achieved, obtain the target composition set, collect the historical relevant data of each item in the target composition set, and construct the corresponding qualified condition for each item in the target composition set according to the historical relevant data; Scheme unit: randomly generating a coal resource allocation scheme based on the conditions that meet the requirements, generating a matching function based on the target to be achieved, and screening the allocation scheme according to the matching function; Planning unit: integrate the selected allocation schemes to obtain the initial plan, match the dynamic adjustment factors corresponding to the initial plan from the external allocation table, dynamically adjust the initial plan, take the month as the allocation cycle, and obtain the monthly allocation plan.

[0009] The present invention provides an intelligent coal resource monthly transportation plan generation system, a planning unit, comprising: Indicator determination subunit: compare all allocation plans to obtain plan comparison results, and identify the same indicators and different indicators in all allocation plans based on the plan comparison results; Comprehensive scoring subunit: Screening the same indicators and the difference indicators to obtain key indicators, determining the indicator score of the key indicators in each deployment plan based on the indicator-scoring table, and then obtaining the comprehensive score of the corresponding deployment plan; Initial plan subunit: sort the allocation plans according to the comprehensive scores, identify the complementary indicators in the allocation plans with high scores, and integrate the allocation plans based on the complementary indicators to obtain the initial plan.

[0010] The present invention provides an intelligent coal resource monthly transportation plan generation system, the planning unit also includes: Allocation table subunit: obtains dynamic adjustment factors of coal resource transportation and forms an external allocation table; Monthly transportation plan subunit: the initial plan is screened for corresponding dynamic adjustment factors, key dynamic factors affecting the initial plan are identified, the initial plan is dynamically adjusted according to the key dynamic factors, and a monthly transportation plan is obtained with a month as the transportation cycle.

[0011] The present invention provides an intelligent coal resource monthly transportation plan generation system, an adjustment module, including: Evaluation index unit: collects the transportation information of the monthly transportation plan, constructs a comprehensive evaluation function based on the transportation information, obtains the transportation result, and sets the evaluation index for the monthly transportation plan based on the transportation result and the target composition set; Actual transportation unit: compares the transportation results with the expected goals of the monthly transportation plan based on the evaluation indicators to obtain the actual transportation effect; Condition adjustment unit: mark the similarities and differences between the actual transportation effect and the evaluation report of the transportation results of the main groups, determine the focus of each main group on the transportation results, and adjust the corresponding conditions of the allocation plan in the transportation plan according to the focus.

[0012] The present invention provides an intelligent coal resource monthly transportation plan generation system, an evaluation index unit, including: The comprehensive evaluation function creates subunits: ,in, Indicates at time t the assessment results; Indicates at time t of coal transport volume; Indicates at time t Additional volume of other coal transportation; It indicates the maximum value of other additional coal transportation quantity; Indicates at time t coal demand; Indicates at time t Environmental impact indicators; Indicates at time t coal quality indicators; represents the time decay exponential term; k1It indicates the strength of the relationship between coal demand and coal transportation volume; k2 It indicates the strength of the relationship between coal transportation volume and environmental impact indicators; k3 It indicates the strength of the relationship between the coal transportation volume and other additional coal transportation volumes; k4 It indicates the strength of the relationship between coal quality index and coal transportation volume; The weight factor representing the ratio between the coal transport volume and other coal transport additional volumes in the comprehensive evaluation; It represents the weight factor of coal transportation quality index in comprehensive evaluation; Indicates the weight factor of environmental impact indicators in comprehensive assessment; Represents a small positive number, ensuring Always greater than 0; Indicates the time decay factor corresponding to other additional coal transportation quantities; t1 Indicates the start time of the transportation cycle; t2 Indicates the end time of the transportation cycle; A A comprehensive evaluation function representing the ratio between the coal transport volume and other additional coal transport volumes; B represents the comprehensive evaluation function of coal transportation quality indicators; C Comprehensive evaluation function of environmental impact indicators.

[0013] Compared with the existing technology, the beneficial effects of this application are as follows: by collecting the needs of major groups, integrating and analyzing data, formulating an initial coal plan that meets the conditions, and responding to market changes in real time through a dynamic adjustment mechanism, evaluating and providing feedback on transportation results, and continuously optimizing the monthly transportation plan, efficient and sustainable coal resource management can be achieved, market demand changes can be responded to in a timely manner, information silos can be broken, data sharing and collaboration between departments can be enhanced, and sustainable energy management can be supported.

[0014] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0015] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 It is a structural schematic diagram of an intelligent coal resource monthly transportation plan generation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0018] Embodiment 1: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, such as Figure 1 As shown, including: Target module: collect the main groups involved in coal resource transportation, conduct demand analysis on the main groups, and determine the goals to be achieved; Integration module: determining the data sources involved in the main groups, collecting data based on the data sources involved, and integrating the collected data to obtain integration results; Transportation module: formulate qualified conditions according to the goals to be achieved and the integration results, determine the initial plan of coal resources based on the qualified conditions, dynamically adjust the initial plan according to the external allocation table, and form a monthly transportation plan for the month; Adjustment module: Evaluate the transportation results based on the transportation information corresponding to the monthly transportation plan, collect evaluation reports on the transportation effects from major groups, and make adjustments to those that meet the conditions based on the evaluation reports.

[0019] In this embodiment, the main group is the result of combining the link group with the possible related group, covering all participants that have a direct or indirect impact on the transportation of coal resources, including all groups of the link group and the possible related group.

[0020] In this embodiment, by analyzing the overall structure of the coal industry, identifying the participating groups in each link and the groups related to market dynamics, forming the main groups, collecting the demand information of these groups, conducting functional analysis, clarifying the functional requirements and non-functional requirements, and finally determining the goals to be achieved.

[0021] In this embodiment, the goal to be achieved is a specific goal derived from a combination of functional requirements and non-functional requirements, including improving transportation efficiency, reducing costs, meeting market demand, etc.

[0022] In this embodiment, the data sources involved are high-quality data sources that have been screened out after evaluation, including real-time production data of coal mining enterprises, recent transportation cost and time data of transportation companies, the latest forecast data of market demand, and environmental impact assessment data of the government.

[0023] In this embodiment, the integration process is to identify the data types required by the main groups, determine the initial data sources and evaluate them, and screen out effective data sources for collection. Subsequently, the collected data is matched with fields, the corresponding relationship between different data sources is established, and finally the data is integrated to form an integrated result that can be used for analysis.

[0024] In this embodiment, meeting the conditions refers to standards set based on historical relevant data and current goals, for example, the transportation time is within a specified range, the coal quality meets customer requirements, etc.

[0025] In this embodiment, the external allocation table is a table with current market demand, availability of transportation resources (such as fleet status), and external environmental factors (such as weather and traffic conditions) as table headers. It may show that the market demand for coal has increased and it is expected that the transportation volume will need to be increased.

[0026] In this embodiment, the monthly transportation plan is based on the screening and dynamically adjusted allocation plan, which specifically lists the monthly transportation arrangements, including: weekly transportation volume, specific transportation schedule, expected cost and quality targets. For example, a specific transportation arrangement is formulated, such as transporting 250 tons per week, to ensure that the weekly cost and time meet the requirements.

[0027] In this embodiment, the difference between the external allocation table and the compliance condition is that the external allocation table focuses on providing real-time external data to help formulate and adjust the initial plan; the compliance condition ensures that the initial plan meets the actual capabilities and specified restrictions during execution.

[0028] In this embodiment, the transportation information refers to various data and parameters related to coal transportation, including transportation volume, time, cost, quality, environmental impact, etc., which usually come from the monthly transportation plan and the records of the actual execution process. For example, the transportation volume in the transportation information is 10,000 tons of coal planned to be transported this month, the time is the transportation cycle from October 1, 2024 to October 31, 2024, the cost is the estimated transportation cost of 100 yuan per ton, and the total cost is 1,000,000 yuan, the quality is the coal quality index of calorific value 5500 kcal / kg, and the environmental impact is the estimated carbon dioxide emissions of 500 tons.

[0029] In this embodiment, the transportation result refers to the specific effects and performances obtained after the actual implementation of the monthly transportation plan, including the actual transportation quantity, cost, time and its impact on the environment. For example, the actual transportation volume in the transportation result is 9,500 tons, the actual cost is 105 yuan per ton, and the total cost is 997,500 yuan. The actual quality is the actual coal quality with a calorific value of 5400 kcal / kg, and the actual environmental impact is the actual carbon dioxide emissions of 480 tons.

[0030] In this embodiment, the assessment report is a document in which the main groups analyze and summarize the process and results of coal resource transportation.

[0031] In this embodiment, a comprehensive evaluation function is constructed by collecting transportation information, evaluating the gap between the transportation results and the expected goals, and then conducting a comparative analysis of the actual transportation effects. Based on the evaluation reports of the main groups, the focus of the transportation results is identified, and the monthly transportation plan is adjusted to improve efficiency and environmental performance, forming a dynamic optimization mechanism.

[0032] The working principle and beneficial effects of the above technical solution are: by collecting the needs of major groups, integrating and analyzing data, formulating an initial coal plan that meets the conditions, and responding to market changes in real time through a dynamic adjustment mechanism, evaluating and providing feedback on transportation results, and continuously optimizing the monthly transportation plan, efficient and sustainable coal resource management can be achieved, market demand changes can be responded to in a timely manner, information silos can be broken, data sharing and collaboration between departments can be enhanced, and sustainable energy management can be supported.

[0033] Embodiment 2: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, the target module includes: Group determination unit: Analyze the overall structure of the coal industry, identify the link groups involved in each link of the overall structure, and at the same time, pay attention to the impact of market dynamics on the coal industry, identify possible related groups, and combine the link groups and possible related groups as the main groups; Target determination unit: collects demand information of the main groups, performs functional analysis on the demand information to obtain functional analysis results, derives functional requirements and non-functional requirements based on the functional analysis results, and combines the functional requirements and non-functional requirements to determine the goals to be achieved.

[0034] In this embodiment, the overall structure refers to the overall picture of the coal industry, including all links from coal mining, transportation, storage to sales, as well as relevant policies, market environment and technical support.

[0035] In this embodiment, the link group refers to the main participants in each link of the coal industry, including coal mining enterprises (mining), logistics companies (transportation), storage facilities (warehousing), sellers (market sales) and government regulatory agencies (policy and supervision).

[0036] In this example, the potentially relevant groups are other participants who have an impact on or are affected by the coal industry, including environmental protection organizations (concerned about environmental impacts), consumers (demand for coal use), financial institutions (investment and financing support), and policymakers (influencing industry policies).

[0037] In this embodiment, the demand information of the main groups includes the expectations and requirements of each participant for coal transportation, for example, coal mining companies require efficient transportation and inventory management, logistics companies hope to reduce transportation costs and time, government regulators pay attention to environmental compliance and safety standards, and consumers expect stable supply and reasonable prices.

[0038] In this embodiment, functional requirements are specific functional requirements, for example, the monthly transportation volume must reach a specific target (such as 100,000 tons), the transportation time must be controlled within 48 hours, and it must meet environmental protection standards; non-functional requirements are requirements that are not related to the function but are equally important, such as the security and reliability of the system, user-friendly interface design, data sharing capabilities and transparency.

[0039] The working principle and beneficial effects of the above technical solution are: by analyzing the overall structure of the coal industry, identifying the participating groups in each link and the groups related to market dynamics, forming the main groups, collecting the demand information of these groups, conducting functional analysis, clarifying the functional and non-functional requirements, and finally determining the goals to be achieved, it is helpful to adjust the strategy in time, enhance the industry's ability to adapt to market changes, help clarify the functional and non-functional requirements, ensure that the monthly transportation plan meets the actual needs, and improve the service quality.

[0040] Embodiment 3: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, integrating modules, including: Data source determination unit: identifies the data types required by the main groups based on the objectives to be achieved, and determines the initial data source corresponding to each main group according to the data types; Data collection unit: evaluates the initial data source to obtain an evaluation result, screens the initial data source based on the evaluation result to obtain the involved data source, and collects data based on the involved data source; Data integration unit: performs field matching on the collected data, determines the correspondence between similar fields in different involved data sources, maps the collected data corresponding to similar fields from different involved data sources based on the correspondence, integrates the collected data according to the mapping results, and obtains the integration results.

[0041] In this embodiment, the specific process corresponding to the data type required for identifying the main groups based on the goals to be achieved is to determine the goals to be achieved (such as: improving transportation efficiency, reducing costs, and meeting market demand), identify the main groups (such as: coal mining enterprises, transportation companies, customers, government regulatory agencies), and list the required data types according to the goals and groups, such as coal production, transportation costs, market demand and environmental impact data.

[0042] In this embodiment, the initial data sources include internal systems of coal mining enterprises (such as production management systems, inventory management systems), transportation company data (such as transportation scheduling systems, cost records), market research data (such as industry reports, market demand analysis), government public data (such as policies and regulations, environmental monitoring reports), etc.

[0043] In this embodiment, the specific process of screening the initial data source based on the evaluation results to obtain the involved data sources is to conduct a quality assessment on the initial data source, set evaluation criteria, such as data update frequency, credibility of the data source, relevance of the data to the target, etc., and select data sources that meet the criteria based on the evaluation results to form a list of involved data sources.

[0044] In this embodiment, field matching is to identify similar fields (such as coal mine output, transportation time, etc.) in different data sources and determine the corresponding relationship between these fields. For example, coal mine output may be called coal production in one data source and may be called coal production in another data source.

[0045] In this embodiment, the mapping process is to integrate data from different sources based on the results of field matching. For example, the coal production from coal mining enterprises is compared and integrated with the market demand from market research, and finally a unified data set is formed, including all relevant fields.

[0046] The working principle and beneficial effects of the above technical solution are: by identifying the data types required by the main groups, determining the initial data sources and evaluating them, screening out effective data sources for collection, matching the fields of the collected data, establishing the corresponding relationships between different data sources, and finally integrating the data to form an integrated result that can be used for analysis, forming a more comprehensive data view, improving the availability and analytical value of data, promoting information sharing and collaboration between different departments and links, and enhancing overall work efficiency.

[0047] Embodiment 4: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, the transportation module includes: Condition unit: segment the target to be achieved, obtain the target composition set, collect the historical relevant data of each item in the target composition set, and construct the corresponding qualified condition for each item in the target composition set according to the historical relevant data; Scheme unit: randomly generating a coal resource allocation scheme based on the conditions that meet the requirements, generating a matching function based on the target to be achieved, and screening the allocation scheme according to the matching function; Planning unit: integrate the selected allocation schemes to obtain the initial plan, match the dynamic adjustment factors corresponding to the initial plan from the external allocation table, dynamically adjust the initial plan, take the month as the allocation cycle, and obtain the monthly allocation plan.

[0048] In this embodiment, the process of target segmentation is to determine the overall goal of coal transportation, such as improving transportation efficiency, reducing costs, reducing environmental impact, etc., and subdivide the main goal into specific and operational sub-goals. The main goal is to improve coal quality. After sub-goal segmentation, it includes calorific value control, moisture content management, impurity content monitoring, storage and transportation conditions optimization, quality inspection frequency, supply chain transparency, etc.

[0049] In this embodiment, the target composition set subdivides a certain target into multiple specific and actionable sub-targets or elements in the process of achieving a target to be achieved, including transportation efficiency (such as ton-kilometers / hour), cost control (such as transportation cost per ton of coal), quality management (such as calorific value and moisture content of coal), environmental impact (such as carbon dioxide emissions), etc.

[0050] In this embodiment, the historical relevant data includes past transportation records (time, quantity, cost), coal quality inspection data (calorific value, impurity content, etc.), obstacles encountered during transportation and solutions, market demand change data, etc.

[0051] In this embodiment, the deployment plan includes a specific transportation route, the choice of transportation tools (such as trucks, trains), a transportation schedule, and an estimated transportation volume. For example, a transportation route from a mining area to a power plant is selected, a specific model of truck is used, and 1,000 tons of coal are planned to be transported.

[0052] In this embodiment, the matching function is a mathematical expression used to evaluate the degree of fit between the deployment plan and the goal to be achieved, for example, calculating the ratio of transportation cost to budget, the difference between transportation time and expected time, and the degree of compliance of coal quality with standards.

[0053] The working principle and beneficial effects of the above technical solution are: by segmenting the goals to be achieved, constructing a target composition set, and collecting historical relevant data to generate a qualified allocation plan. After screening the plans based on the goals to be achieved and the matching function, the selected plans are integrated to form an initial plan, and adjusted according to external dynamic factors, and finally a monthly transportation plan is obtained to improve the efficiency and flexibility of coal resource transportation.

[0054] Embodiment 5: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, the planning unit comprising: Indicator determination subunit: compare all allocation plans to obtain plan comparison results, and identify the same indicators and different indicators in all allocation plans based on the plan comparison results; Comprehensive scoring subunit: Screening the same indicators and the difference indicators to obtain key indicators, determining the indicator score of the key indicators in each deployment plan based on the indicator-scoring table, and then obtaining the comprehensive score of the corresponding deployment plan; Initial plan subunit: sort the allocation plans according to the comprehensive scores, identify the complementary indicators in the allocation plans with high scores, and integrate the allocation plans based on the complementary indicators to obtain the initial plan.

[0055] In this embodiment, the process of comparing the allocation plans is to collect relevant data of all potential allocation plans, including transportation costs, time, coal quality, environmental protection indicators, etc., compare all the allocation plans item by item, and identify the same indicators and different indicators in each plan.

[0056] In this embodiment, the same indicators include transportation cost (transportation fee per ton of coal), transportation time (time from shipment to arrival), coal quality (calorific value, moisture content, ash content, etc.), and environmental impact (emissions, noise, etc.).

[0057] In this embodiment, the difference indicators include transportation mode (road, rail, water, etc.), supplier (service level and reliability of different suppliers), and seasonal impact (the impact of weather on transportation).

[0058] In this embodiment, the process of screening out key indicators is to analyze the same indicators and different indicators, evaluate their impact on the effectiveness of the allocation plan, and then determine the most important indicators for coal transportation (such as transportation cost, time and coal quality) as key indicators through expert review or based on historical relevant data analysis.

[0059] In this embodiment, the indicator-scoring table is a structured table that lists all key indicators and their corresponding scoring criteria. For example, the key indicator is transportation time, the scoring criteria is <3 points, and the score is 10 points; the indicator scoring is to score the key indicators of each allocation plan according to the indicator-scoring table, and the scoring range is usually 1 to 10, and the higher the score, the better the performance; the comprehensive scoring is to weightedly sum the scores of all key indicators to obtain a comprehensive score for each allocation plan. For example, if the transportation cost score of plan A is 9, the transportation time score is 8, the coal thermal value score is 10, and the environmental impact score is 7, the comprehensive score may be: Comprehensive score = 0.4×9+0.3×8+0.2×10+0.1×7=8.3 Comprehensive score = 0.4×9+0.3×8+0.2×10+0.1×7=8.3; a high-scoring plan is a deployment plan with a comprehensive score greater than 8.

[0060] In this embodiment, the complementary indicators are in the high-scoring schemes. The complementary indicators refer to those indicators that perform well in different schemes but are not outstanding in a single scheme and can complement each other.

[0061] In this embodiment, the process of integrating the allocation schemes based on complementary indicators to obtain the initial plan extracts complementary indicators from the high-scoring schemes, designs a new allocation scheme based on the complementary indicators, comprehensively considers the advantages of each scheme, forms a final initial plan, and implements it.

[0062] The working principle and beneficial effects of the above technical solution are: by comparing the allocation plans, identifying the same and different indicators, screening out key indicators and scoring them, and finally generating a comprehensive score, the allocation plans are sorted according to the comprehensive score, and the complementary indicators in the high-scoring plans are identified. These plans are integrated to formulate the optimal initial plan, thereby improving the efficiency and sustainability of coal transportation.

[0063] Embodiment 6: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, the planning unit also includes: Allocation table subunit: obtains dynamic adjustment factors of coal resource transportation and forms an external allocation table; Monthly transportation plan subunit: the initial plan is screened for corresponding dynamic adjustment factors, key dynamic factors affecting the initial plan are identified, the initial plan is dynamically adjusted according to the key dynamic factors, and a monthly transportation plan is obtained with a month as the transportation cycle.

[0064] In this embodiment, the dynamic adjustment factors refer to various variables that may affect the monthly transportation plan during the coal resource transportation process, including market demand, transportation costs, weather conditions, policies and regulations, inventory levels, and supply chain conditions.

[0065] In this embodiment, key dynamic factors refer to those factors that have the greatest impact on the monthly transportation plan among many dynamic adjustment factors, and generally include: market demand fluctuations: such as a sharp increase or decrease in coal demand in a certain region, changes in transportation costs: such as a significant increase in fuel prices, abnormal weather: such as typhoons or blizzards causing transportation routes to be blocked, and policy changes: such as the implementation of new environmental protection regulations leading to transportation restrictions.

[0066] In this embodiment, the process of identifying key dynamic factors is to collect historical data related to transportation, including market demand, transportation costs, weather conditions, etc., and use statistical analysis methods (such as regression analysis, correlation analysis, etc.) to evaluate the impact of various factors on the transportation effect. According to the analysis results, the dynamic adjustment factors that have a significant impact on the monthly transportation plan are screened out, the identified key dynamic factors are verified through actual transportation conditions, and adjustments are made based on feedback.

[0067] The working principle and beneficial effects of the above technical solution are: forming an external allocation table through dynamic adjustment factors, and screening out the key dynamic factors affecting the initial plan, and adjusting the initial plan in real time based on these factors to ensure efficient and environmentally friendly transportation of coal resources, and finally generating a monthly transportation plan to respond to market and environmental changes in a timely manner, improve flexibility, and effectively allocate coal resources.

[0068] Embodiment 7: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, an adjustment module, including: Evaluation index unit: collects the transportation information of the monthly transportation plan, constructs a comprehensive evaluation function based on the transportation information, obtains the transportation result, and sets the evaluation index for the monthly transportation plan based on the transportation result and the target composition set; Actual transportation unit: compares the transportation results with the expected goals of the monthly transportation plan based on the evaluation indicators to obtain the actual transportation effect; Condition adjustment unit: mark the similarities and differences between the actual transportation effect and the evaluation report of the transportation results of the main groups, determine the focus of each main group on the transportation results, and adjust the corresponding conditions of the allocation plan in the transportation plan according to the focus.

[0069] In this embodiment, the evaluation indicators are quantitative standards set according to the goals of the monthly transportation plan and the transportation results, which are used to measure the success of the transportation. These indicators may include cost-effectiveness, on-time delivery rate, environmental impact score, etc. For example, the cost-effectiveness in the evaluation indicators is the ratio of actual cost to planned cost is 99.75%, the on-time delivery rate is the proportion of transportation completed on time is 95%, the environmental impact score is a 4% reduction in carbon dioxide emissions (compared with the plan), and the quality pass rate is the coal quality pass rate is 90%.

[0070] In this embodiment, the actual transportation effect is the comparison result between the actual performance and the expected target after applying the evaluation indicators to the transportation results, reflecting the implementation of the monthly transportation plan. For example, the actual transportation volume is lower than the plan, the quality is slightly reduced, but the cost is within the expected range and the environmental impact is improved.

[0071] In this embodiment, the similarities and differences mark is to compare the actual transportation effect with the evaluation report of the transportation result by the main group, and identify the similarities and differences between the two. This process helps to find problems and improvement directions. For example, the similarities are better cost control and reduced environmental impact, and the differences are that the transportation volume does not reach the target and the coal quality does not meet the standard.

[0072] In this embodiment, the expected target refers to the specific target that is set when formulating the monthly transportation plan and is expected to be achieved, such as reducing costs, improving efficiency, reducing environmental impact, etc.

[0073] In this embodiment, the corresponding process of adjusting the conditions corresponding to the allocation scheme in the transportation plan according to the focus is to analyze the feedback from the main groups, determine the focus of each group on the transportation results, and then adjust the transportation strategy or plan according to these focuses. For example, the main groups (such as environmental protection organizations, customers) pay more attention to environmental impact and coal quality; the adjustment process: increase the frequency of coal quality inspection, optimize the transportation route to reduce emissions, and ensure that the monthly transportation plan for next month can better meet the needs of all parties.

[0074] In this embodiment, the focus refers to the key factors or indicators that the main groups focus on when evaluating the transportation results. These focuses may vary from group to group. For example, some groups may pay more attention to costs, while others may pay more attention to environmental impact or safety.

[0075] The working principle and beneficial effects of the above technical solution are: by collecting transportation information to construct a comprehensive evaluation function, evaluating the gap between the transportation results and the expected goals, and then comparing and analyzing the actual transportation effects, identifying the focus of the transportation results based on the evaluation reports of the main groups, adjusting the monthly transportation plan to improve efficiency and environmental performance, forming a dynamic optimization mechanism, improving the scientificity and accuracy of decision-making, enhancing the understanding and transparency of the transportation process among the main groups, and promoting trust.

[0076] Embodiment 8: The embodiment of the present invention provides an intelligent coal resource monthly transportation plan generation system, an evaluation index unit, including: The comprehensive evaluation function creates subunits: ,in, Indicates at time t the assessment results; Indicates at time t of coal transport volume; Indicates at time t Additional volume of other coal transportation; It indicates the maximum value of other additional coal transportation quantity; Indicates at time t coal demand; Indicates at time t Environmental impact indicators; Indicates at time t coal quality indicators; represents the time decay exponential term; k1 It indicates the strength of the relationship between coal demand and coal transportation volume;k2 It indicates the strength of the relationship between coal transportation volume and environmental impact indicators; k3 It indicates the strength of the relationship between the coal transportation volume and other additional coal transportation volumes; k4 It indicates the strength of the relationship between coal quality index and coal transportation volume; The weight factor representing the ratio between the coal transport volume and other coal transport additional volumes in the comprehensive evaluation; It represents the weight factor of coal transportation quality index in comprehensive evaluation; Indicates the weight factor of environmental impact indicators in comprehensive assessment; Represents a small positive number, ensuring Always greater than 0; Indicates the time decay factor corresponding to other additional coal transportation quantities; t1 Indicates the start time of the transportation cycle; t2 Indicates the end time of the transportation cycle; A A comprehensive evaluation function representing the ratio between the coal transport volume and other additional coal transport volumes; B represents the comprehensive evaluation function of coal transportation quality indicators; C Comprehensive evaluation function of environmental impact indicators.

[0077] In this embodiment, the coal quality index refers to the heat, ash, sulfur, volatile matter and fixed carbon during coal combustion; other coal transportation additional quantities are a series of costs incurred during the coal transportation process, such as transportation costs, storage costs, environmental compliance costs, etc.

[0078] The working principle and beneficial effects of the above technical solution are: by integrating multiple factors such as coal transportation volume, demand, environmental impact and quality indicators, using weight factors and relationship strength, dynamically evaluating the transportation effect, ensuring that the comprehensive performance of various indicators is effectively reflected during the transportation cycle, promoting optimized decision-making, breaking information silos, realizing cross-departmental data integration, and improving the transparency and accuracy of decision-making.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent coal resource monthly transportation plan generation system, characterized in that: include: Target module: collect the main groups involved in coal resource transportation, conduct demand analysis on the main groups, and determine the goals to be achieved; Integration module: determining the data sources involved in the main groups, collecting data based on the data sources involved, and integrating the collected data to obtain integration results; Transportation module: formulate qualified conditions according to the goals to be achieved and the integration results, determine the initial plan of coal resources based on the qualified conditions, dynamically adjust the initial plan according to the external allocation table, and form a monthly transportation plan for the month; Adjustment module: Evaluate the transportation results based on the transportation information corresponding to the monthly transportation plan, collect evaluation reports on the transportation effects from major groups, and make adjustments to those that meet the conditions based on the evaluation reports.

2. According to claim 1, an intelligent coal resource monthly transportation plan generation system is characterized in that: Target modules, including: Group determination unit: Analyze the overall structure of the coal industry, identify the link groups involved in each link of the overall structure, and at the same time, pay attention to the impact of market dynamics on the coal industry, identify possible related groups, and combine the link groups and possible related groups as the main groups; Target determination unit: collects demand information of the main groups, performs functional analysis on the demand information to obtain functional analysis results, derives functional requirements and non-functional requirements based on the functional analysis results, and combines the functional requirements and non-functional requirements to determine the goals to be achieved.

3. The intelligent coal resource monthly transportation plan generation system according to claim 1 is characterized in that: Integration modules, including: Data source determination unit: identifies the data types required by the main groups based on the objectives to be achieved, and determines the initial data source corresponding to each main group according to the data types; Data collection unit: evaluates the initial data source to obtain an evaluation result, screens the initial data source based on the evaluation result to obtain the involved data source, and collects data based on the involved data source; Data integration unit: performs field matching on the collected data, determines the correspondence between similar fields in different involved data sources, maps the collected data corresponding to similar fields from different involved data sources based on the correspondence, integrates the collected data according to the mapping results, and obtains the integration results.

4. The intelligent coal resource monthly transportation plan generation system according to claim 1 is characterized in that: Transportation module, including: Condition unit: segment the target to be achieved, obtain the target composition set, collect the historical relevant data of each item in the target composition set, and construct the corresponding qualified condition for each item in the target composition set according to the historical relevant data; Scheme unit: randomly generating a coal resource allocation scheme based on the conditions that meet the requirements, generating a matching function based on the target to be achieved, and screening the allocation scheme according to the matching function; Planning unit: integrate the selected allocation schemes to obtain the initial plan, match the dynamic adjustment factors corresponding to the initial plan from the external allocation table, dynamically adjust the initial plan, take the month as the allocation cycle, and obtain the monthly allocation plan.

5. The intelligent coal resource monthly transportation plan generation system according to claim 4 is characterized in that: Planning unit, including: Indicator determination subunit: compare all allocation plans to obtain plan comparison results, and identify the same indicators and different indicators in all allocation plans based on the plan comparison results; Comprehensive scoring subunit: Screening the same indicators and the difference indicators to obtain key indicators, determining the indicator score of the key indicators in each deployment plan based on the indicator-scoring table, and then obtaining the comprehensive score of the corresponding deployment plan; Initial plan subunit: sort the allocation plans according to the comprehensive scores, identify the complementary indicators in the allocation plans with high scores, and integrate the allocation plans based on the complementary indicators to obtain the initial plan.

6. The intelligent coal resource monthly transportation plan generation system according to claim 5 is characterized in that: The planning unit also includes: Allocation table subunit: obtains dynamic adjustment factors of coal resource transportation and forms an external allocation table; Monthly transportation plan subunit: the initial plan is screened for corresponding dynamic adjustment factors, key dynamic factors affecting the initial plan are identified, the initial plan is dynamically adjusted according to the key dynamic factors, and a monthly transportation plan is obtained with a month as the transportation cycle.

7. The intelligent coal resource monthly transportation plan generation system according to claim 4 is characterized in that: Adjustment modules, including: Evaluation index unit: collects the transportation information of the monthly transportation plan, constructs a comprehensive evaluation function based on the transportation information, obtains the transportation result, and sets the evaluation index for the monthly transportation plan based on the transportation result and the target composition set; Actual transportation unit: compares the transportation results with the expected goals of the monthly transportation plan based on the evaluation indicators to obtain the actual transportation effect; Condition adjustment unit: mark the similarities and differences between the actual transportation effect and the evaluation report of the transportation results of the main groups, determine the focus of each main group on the transportation results, and adjust the corresponding conditions of the allocation plan in the transportation plan according to the focus.

8. The intelligent coal resource monthly transportation plan generation system according to claim 7 is characterized in that: Evaluation indicator units include: The comprehensive evaluation function creates subunits: ,in, Indicates at time t the assessment results; Indicates at time t of coal transport volume; Indicates at time t Additional volume of other coal transportation; It indicates the maximum value of other additional coal transportation quantity; Indicates at time t coal demand; Indicates at time t Environmental impact indicators; Indicates at time t coal quality indicators; represents the time decay exponential term; k1 It indicates the strength of the relationship between coal demand and coal transportation volume; k2 It indicates the strength of the relationship between coal transportation volume and environmental impact indicators; k3 It indicates the strength of the relationship between the coal transportation volume and other additional coal transportation volumes; k4 It indicates the strength of the relationship between coal quality index and coal transportation volume; The weight factor representing the ratio between the coal transport volume and other coal transport additional volumes in the comprehensive evaluation; It represents the weight factor of coal transportation quality index in comprehensive evaluation; Indicates the weight factor of environmental impact indicators in comprehensive assessment; Represents a small positive number, ensuring Always greater than 0; Indicates the time decay factor corresponding to other additional coal transportation quantities; t1 Indicates the start time of the transportation cycle; t2 Indicates the end time of the transportation cycle; A A comprehensive evaluation function representing the ratio between the coal transport volume and other additional coal transport volumes; B represents the comprehensive evaluation function of coal transportation quality indicators; C Comprehensive evaluation function of environmental impact indicators.

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