A method for preparing a budget standard of a grade maintenance project suitable for an overseas coal-fired power plant

Abstract

The application discloses an intelligent control method and system for grade maintenance budget of overseas coal-fired power plants based on equipment state and maintenance process, and belongs to the technical field of power engineering intelligent operation and maintenance. The method comprises the following steps: collecting operation and degradation data of a boiler, a steam turbine and a generator and maintenance process data; obtaining actual process costs of overseas; constructing a multi-dimensional dynamic model to calculate an overseas process adjustment coefficient; generating a standard process budget; combining safety start constraints for verification and automatic correction, calculating A / B / C / D grade budgets and reversely controlling maintenance resource allocation; and supporting dynamic updating. The system comprises state collection, coefficient calculation, budget generation, safety control and dynamic updating modules. The application is deeply coupled with coal-fired power plant equipment entities, maintenance processes and safety constraints, belongs to a technical solution, solves problems such as disconnection of overseas maintenance budget, resource mismatch and high safety risks, and is suitable for maintenance budget preparation and cost control of various overseas coal-fired power plants.

Description

Technical Field

[0001] This invention relates to the field of intelligent operation and maintenance technology in power engineering, specifically to an intelligent control method and system for budgeting maintenance of overseas coal-fired power plants based on the status of boiler, turbine, and generator equipment and maintenance process flow. Background Technology

[0002] With the continuous expansion of investment, construction, and operation scale of overseas coal-fired power plants, regular maintenance of units at levels A, B, C, and D is a core link in ensuring the long-term safe, stable, and economical operation of coal-fired power plants. The scientific and reasonable nature of maintenance budget preparation directly determines the maintenance quality, schedule control, and investment benefits.

[0003] Currently, China has established a relatively mature standard system for thermal power plant maintenance costs, including the five major power generation groups. However, these standards are based on the domestic labor, logistics, tax, and policy environment, and are clearly mismatched when directly applied to overseas projects.

[0004] Existing overseas maintenance budget preparation methods mostly rely on experience-based estimations, single-factor adjustments, and historical contract comparisons, which generally have the following shortcomings: 1. It only stays at the level of economic data statistics and mathematical calculations, without forming a technical connection with the physical equipment such as boilers, steam turbines, and generators, their operating status, and degree of deterioration; 2. The budget was not quantitatively controlled in conjunction with the maintenance procedures, construction technology, and resource allocation logic, resulting in a disconnect between the budget and the actual working conditions on site. 3. The lack of safety constraints and threshold verification mechanisms can easily lead to technical problems such as incomplete maintenance, inability to start the unit safely, and reduced equipment life due to insufficient resources. 4. It belongs to a purely economic management and commercial pricing method, does not utilize natural laws, and does not constitute a technical solution in the sense of patent law.

[0005] Therefore, there is an urgent need for an intelligent control method and system for maintenance budgeting of overseas coal-fired power plants that is deeply coupled with equipment status, maintenance process, and safety control. Summary of the Invention

[0006] The technical problem to be solved by this invention is to provide a method for compiling budget standards for graded maintenance projects of overseas coal-fired power plants. It aims to overcome the problems of existing domestic budget standards being difficult to apply directly due to significant differences between overseas projects and domestic ones in terms of labor, logistics, procurement, and policies, resulting in uncontrolled costs, inflated budgets, and lax management. By designing a dual-track model based on domestic benchmarks and overseas adjustment coefficients, the invention achieves the goals of quantifiable data, traceable processes, definable boundaries, and reusable results.

[0007] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants, comprising the following steps: S1 collects operating parameters, equipment degradation data, and historical maintenance work order data of boilers, turbines, and generators through the DCS system and online equipment monitoring devices of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas, and mechanical shift consumption data of units of the same level from multiple domestic power generation groups to calculate the domestic benchmark process consumption value. S2, obtain the actual process execution data and actual consumption data of labor / materials / machinery for the same level of maintenance projects in overseas target power plants, as the actual process cost overseas; S3, based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, constructs a multi-dimensional dynamic adjustment model to calculate the adjustment coefficient of overseas processes; S4. Multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. S5 combines the constraints of safe start-up of the unit with the relationship between maintenance procedures and automatically calculates the overall budget standard for A / B / C / D level maintenance based on the proportion of maintenance costs for each level of similar units in China, and in turn constrains the allocation of maintenance resources and maintenance procedure plans.

[0008] Preferably, the operating parameters and equipment degradation data mentioned in step S1 include at least: Boiler tube wall temperature, air preheater pressure differential, wear of heating surfaces, turbine vibration value, expansion differential, generator insulation parameters, unit operating hours, number of start-ups and shutdowns, and maintenance history defect records.

[0009] Preferably, the maintenance procedure in step S1 includes at least: Boiler descaling and ash removal, water-cooled wall inspection, turbine cylinder opening and overhaul, rotor inspection, seal modification, denitrification catalyst ash removal, induced draft / forced draft fan overhaul, and air-cooled system maintenance.

[0010] Preferably, the adjustment coefficient for overseas processes in step S3 is calculated using the following model: Overseas process adjustment coefficient = Basic adjustment coefficient × Equipment deterioration coefficient × Labor efficiency coefficient × Logistics and transportation coefficient × Safety risk coefficient × Environmental coefficient; The basic adjustment factor is the ratio of the cost of a standard project under a historical overseas contract to the equivalent domestic cost on the same basis.

[0011] Preferably, step S5 further includes: The generated budget is checked for safety thresholds. If the manpower, working hours, and machine shifts corresponding to the budget cannot meet the safety and start-up conditions of the unit maintenance, the resource allocation is automatically increased and the budget is corrected to ensure that the maintenance process is safe and controllable.

[0012] Preferably, the final budget standard is the upper limit of resource allocation, which can be adjusted downward according to changes in the scope of maintenance during actual implementation; the budget does not include testing fees, technical supervision fees, equipment repair fees, project legal person management fees, bidding fees, technical document preparation fees, and post-evaluation fees.

[0013] Preferably, it further includes a dynamic update step: By combining IMF or World Bank CPI indices, exchange rate fluctuations, inflation, and market changes, the adjustment coefficients for overseas processes and process consumption data are periodically revised to achieve adaptive updates to budget standards.

[0014] Preferably, a system for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants is provided to implement the aforementioned method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants. The system includes: The equipment status and process acquisition module is used to collect operating parameters, equipment deterioration data and historical maintenance work order data of boilers, steam turbines and generators through the DCS system and equipment online monitoring device of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas and mechanical shift consumption data of the same level units of multiple domestic power generation groups, and calculates the domestic benchmark process consumption value. The overseas actual cost acquisition module is used to obtain the actual process execution data and the actual consumption data of labor, materials and machinery for the same level of maintenance projects in overseas target power plants, as the overseas actual process cost. The multidimensional dynamic coefficient calculation module is used to construct a multidimensional dynamic adjustment model based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, and calculate the adjustment coefficient of overseas processes. The standard process budget generation module is used to multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. The safety constraint budget control module is used to combine the unit's safe start-up constraints with the relationship between maintenance procedures, and automatically calculate the overall budget standards for Class A, Class B, Class C, and Class D maintenance based on the proportion of maintenance costs for each level of similar units in China, and to conversely constrain the allocation of maintenance resources and maintenance procedure plans. The dynamic update module is used to periodically adjust the overseas process adjustment coefficients and process consumption data by combining the International Monetary Fund or World Bank consumer price index, exchange rate fluctuations, inflation and market changes, so as to achieve adaptive updates of budget standards.

[0015] Preferably, a computer device includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants.

[0016] Preferably, a computer-readable storage medium stores computer instructions that cause a computer to execute the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants.

[0017] Furthermore, this invention provides an intelligent control method for maintenance budgeting of overseas coal-fired power plants based on equipment status and maintenance processes, comprising: S1, Equipment Status and Maintenance Procedure Data Acquisition: By using DCS systems and online monitoring devices in overseas coal-fired power plants, real-time data on boiler tube wall temperature, air preheater differential pressure, heat exchange surface wear, turbine vibration / expansion differential, generator insulation, operating hours, and number of start-ups and shutdowns are collected. At the same time, standard maintenance procedures, time quotas, and machine shift consumption of units of the same capacity from multiple domestic power generation groups are collected to form domestic benchmark process consumption values.

[0018] S2, Obtaining actual overseas process costs: Obtain actual process execution records, actual consumption of labor / materials / machinery, and historical contract standard project costs for maintenance at the same level in overseas target power plants to form standardized overseas actual process costs.

[0019] S3, Calculation of Multidimensional Dynamic Adjustment Coefficient for Overseas Processes: Based on the ratio of historical overseas contract costs to equivalent domestic costs as the basic adjustment coefficient, and superimposed with equipment deterioration coefficient, labor efficiency coefficient, logistics and transportation coefficient, safety risk coefficient, and environmental climate coefficient, a multi-dimensional dynamic adjustment model is constructed to calculate the adjustment coefficient for overseas processes.

[0020] S4, Standard Process Budget Generation: Multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget for the same level of maintenance.

[0021] S5, Overall Budget Generation and Control under Security Constraints: Based on the cost ratios of A / B / C / D level maintenance for similar units in China, the overall budget for each level of maintenance is calculated. The budget is then checked for safety thresholds. When the manpower, working hours, and machine shifts do not meet the safety conditions for maintenance, the resource allocation and budget are automatically adjusted. The final budget is used as the upper limit to constrain the maintenance plan and resource allocation, ensuring safe maintenance and reliable start-up of the unit.

[0022] S6, dynamic updates and adaptive corrections: By taking into account changes in the CPI index, exchange rate, inflation, and market environment, the coefficients and process consumption are periodically updated and adjusted to ensure that the budget standards are continuously adapted to the conditions on the overseas site.

[0023] This invention also discloses an intelligent control system for budgeting maintenance of overseas coal-fired power plants, comprising: an equipment status and process acquisition module, an overseas actual cost acquisition module, a multi-dimensional dynamic coefficient calculation module, a standard process budget generation module, a safety constraint budget control module, and a dynamic update module. These modules work together to execute the aforementioned methods and steps, achieving intelligent and automated budget control.

[0024] The beneficial effects of this invention are as follows: 1. This invention is deeply integrated with power plant technology entities such as boilers, steam turbines, and generators, and achieves budget control based on equipment operating status and maintenance process flow, using natural laws to solve engineering and technical problems.

[0025] 2. The budget is strongly coupled with equipment status and maintenance procedures. Maintenance procedures are automatically matched based on parameters such as wear, vibration, insulation, and operating hours, which significantly improves the accuracy of the budget, the targeting of maintenance, and the feasibility of the project.

[0026] 3. It has safety constraints and closed-loop control. Through safety threshold verification and automatic correction mechanisms, it avoids maintenance interruptions, equipment damage, and unit startup failures due to insufficient resources, thus ensuring maintenance safety and operational reliability.

[0027] 4. It is scalable, replicable, and can be implemented intelligently. It is applicable to various overseas coal-fired power plants in Southeast Asia, the Middle East, Africa, etc. It can be directly connected to ERP, PMS, and maintenance management systems to achieve full automation of the budget preparation process. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the method flow in an embodiment of the present invention; Figure 2 This is a schematic diagram of the system structure in an embodiment of the present invention; Figure 3 This is a flowchart illustrating the compilation of budget standards for specific overseas project-level maintenance projects in this embodiment of the invention. Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed Implementation

[0029] Example 1: like Figure 1 As shown, a method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S1 collects operating parameters, equipment degradation data, and historical maintenance work order data of boilers, turbines, and generators through the DCS system and online equipment monitoring devices of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas, and mechanical shift consumption data of units of the same level from multiple domestic power generation groups to calculate the domestic benchmark process consumption value. S2, obtain the actual process execution data and actual consumption data of labor / materials / machinery for the same level of maintenance projects in overseas target power plants, as the actual process cost overseas; S3, based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, constructs a multi-dimensional dynamic adjustment model to calculate the adjustment coefficient of overseas processes; S4. Multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. S5 combines the constraints of safe start-up of the unit with the relationship between maintenance procedures and automatically calculates the overall budget standard for A / B / C / D level maintenance based on the proportion of maintenance costs for each level of similar units in China, and in turn constrains the allocation of maintenance resources and maintenance procedure plans.

[0030] Preferably, the operating parameters and equipment degradation data mentioned in step S1 include at least: Boiler tube wall temperature, air preheater pressure differential, wear of heating surfaces, turbine vibration value, expansion differential, generator insulation parameters, unit operating hours, number of start-ups and shutdowns, and maintenance history defect records.

[0031] Preferably, the maintenance procedure in step S1 includes at least: Boiler descaling and ash removal, water-cooled wall inspection, turbine cylinder opening and overhaul, rotor inspection, seal modification, denitrification catalyst ash removal, induced draft / forced draft fan overhaul, and air-cooled system maintenance.

[0032] Preferably, the adjustment coefficient for overseas processes in step S3 is calculated using the following model: Overseas process adjustment coefficient = Basic adjustment coefficient × Equipment deterioration coefficient × Labor efficiency coefficient × Logistics and transportation coefficient × Safety risk coefficient × Environmental coefficient; The basic adjustment factor is the ratio of the cost of a standard project under a historical overseas contract to the equivalent domestic cost on the same basis.

[0033] Preferably, step S5 further includes: The generated budget is checked for safety thresholds. If the manpower, working hours, and machine shifts corresponding to the budget cannot meet the safety and start-up conditions of the unit maintenance, the resource allocation is automatically increased and the budget is corrected to ensure that the maintenance process is safe and controllable.

[0034] Preferably, the final budget standard is the upper limit of resource allocation, which can be adjusted downward according to changes in the scope of maintenance during actual implementation; the budget does not include testing fees, technical supervision fees, equipment repair fees, project legal person management fees, bidding fees, technical document preparation fees, and post-evaluation fees.

[0035] Preferably, it further includes a dynamic update step: By combining IMF or World Bank CPI indices, exchange rate fluctuations, inflation, and market changes, the adjustment coefficients for overseas processes and process consumption data are periodically revised to achieve adaptive updates to budget standards.

[0036] like Figure 2 As shown, a system for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants is provided to implement the aforementioned method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants. The system includes: The equipment status and process acquisition module is used to collect operating parameters, equipment deterioration data and historical maintenance work order data of boilers, steam turbines and generators through the DCS system and equipment online monitoring device of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas and mechanical shift consumption data of the same level units of multiple domestic power generation groups, and calculates the domestic benchmark process consumption value. The overseas actual cost acquisition module is used to obtain the actual process execution data and the actual consumption data of labor, materials and machinery for the same level of maintenance projects in overseas target power plants, as the overseas actual process cost. The multidimensional dynamic coefficient calculation module is used to construct a multidimensional dynamic adjustment model based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, and calculate the adjustment coefficient of overseas processes. The standard process budget generation module is used to multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. The safety constraint budget control module is used to combine the unit's safe start-up constraints with the relationship between maintenance procedures, and automatically calculate the overall budget standards for Class A, Class B, Class C, and Class D maintenance based on the proportion of maintenance costs for each level of similar units in China, and to conversely constrain the allocation of maintenance resources and maintenance procedure plans. The dynamic update module is used to periodically adjust the overseas process adjustment coefficients and process consumption data by combining the International Monetary Fund or World Bank consumer price index, exchange rate fluctuations, inflation and market changes, so as to achieve adaptive updates of budget standards.

[0037] Preferably, a computer device includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants.

[0038] Preferably, a computer-readable storage medium stores computer instructions that cause a computer to execute the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants.

[0039] Furthermore, this invention provides an intelligent control method for maintenance budgeting of overseas coal-fired power plants based on equipment status and maintenance processes, comprising: S1, Equipment Status and Maintenance Procedure Data Acquisition: By using DCS systems and online monitoring devices in overseas coal-fired power plants, real-time data on boiler tube wall temperature, air preheater differential pressure, heat exchange surface wear, turbine vibration / expansion differential, generator insulation, operating hours, and number of start-ups and shutdowns are collected. At the same time, standard maintenance procedures, time quotas, and machine shift consumption of units of the same capacity from multiple domestic power generation groups are collected to form domestic benchmark process consumption values.

[0040] S2, Obtaining actual overseas process costs: Obtain actual process execution records, actual consumption of labor / materials / machinery, and historical contract standard project costs for maintenance at the same level in overseas target power plants to form standardized overseas actual process costs.

[0041] S3, Calculation of Multidimensional Dynamic Adjustment Coefficient for Overseas Processes: Based on the ratio of historical overseas contract costs to equivalent domestic costs as the basic adjustment coefficient, and superimposed with equipment deterioration coefficient, labor efficiency coefficient, logistics and transportation coefficient, safety risk coefficient, and environmental climate coefficient, a multi-dimensional dynamic adjustment model is constructed to calculate the adjustment coefficient for overseas processes.

[0042] S4, Standard Process Budget Generation: Multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget for the same level of maintenance.

[0043] S5, Overall Budget Generation and Control under Security Constraints: Based on the cost ratios of A / B / C / D level maintenance for similar units in China, the overall budget for each level of maintenance is calculated. The budget is then checked for safety thresholds. When the manpower, working hours, and machine shifts do not meet the safety conditions for maintenance, the resource allocation and budget are automatically adjusted. The final budget is used as the upper limit to constrain the maintenance plan and resource allocation, ensuring safe maintenance and reliable start-up of the unit.

[0044] S6, dynamic updates and adaptive corrections: By taking into account changes in the CPI index, exchange rate, inflation, and market environment, the coefficients and process consumption are periodically updated and adjusted to ensure that the budget standards are continuously adapted to the conditions on the overseas site.

[0045] This invention also discloses an intelligent control system for budgeting maintenance of overseas coal-fired power plants, comprising: an equipment status and process acquisition module, an overseas actual cost acquisition module, a multi-dimensional dynamic coefficient calculation module, a standard process budget generation module, a safety constraint budget control module, and a dynamic update module. These modules work together to execute the aforementioned methods and steps, achieving intelligent and automated budget control.

[0046] Example 2: In this embodiment, the maintenance level is further divided into A, B, C, and D levels.

[0047] The overseas adjustment factor is the ratio of the cost of standard items in the historical maintenance contracts of the target power plant at the same maintenance level to the equivalent domestic cost under the same caliber.

[0048] The equivalent cost is the pure engineering cost after excluding non-standard items, management fees, and uncontrollable factors.

[0049] Example 3: This embodiment discloses a method for adjusting the overseas adjustment factor: Maintenance project cost adjustment factor: calculated based on the labor cost per day, comprehensive rate and risk factors in overseas markets; Adjustment factor for spare parts and materials costs: includes centralized procurement service fees and overseas procurement cost premiums.

[0050] Preferably, the budget standard for calculating other maintenance levels is the upper limit; in actual implementation, it is allowed to fluctuate downwards according to the increase or decrease of the actual maintenance scope.

[0051] Preferably, the budget standard does not include at least one of the following expenses: testing fees, technical supervision fees, equipment repair fees, project owner management fees, bidding fees, technical document preparation fees, and post-evaluation fees.

[0052] Example 4: This embodiment discloses a method for dynamic updating, including: By combining the CPI index published by the IMF or the World Bank, and regularly revising the foreign adjustment coefficient based on exchange rate, inflation, and market changes, the generated budget standard is periodically adjusted.

[0053] Preferably, the calculation method for the budget standard of other maintenance levels is as follows: The calculation is obtained by multiplying the estimated cost of maintenance standard items of the same maintenance level overseas by the historical ratio between the maintenance cost of the same level and the maintenance cost of similar units in China.

[0054] The calculation of historical proportional relationships specifically refers to: This is based on the empirical ratios between maintenance costs at various levels, accumulated and verified through practice in China over a long period.

[0055] More specifically, its calculation logic and source are as follows: Data source: The proportional relationship is derived from historical cost statistics of a large number of units of the same level under different maintenance levels from multiple domestic power generation groups.

[0056] Calculation method: By statistically analyzing the actual costs incurred by these domestic generating units during maintenance at different levels (A, B, C, and D), the ratios of B-level costs to A-level costs, C-level costs to A-level costs, and D-level costs to A-level costs were calculated. These ratios have been verified through long-term practice, forming relatively stable empirical coefficients.

[0057] Specific application: In this embodiment, after calculating the estimated cost of overseas Class A maintenance standard items, the cost is directly multiplied by the corresponding "historical proportional relationship" coefficient (e.g., B / A≈0.67, C / A≈0.33, D / A≈0.09) to quickly and scientifically derive the budget standards for other overseas Class B, Class C, Class D, and other maintenance levels.

[0058] To illustrate simply: Historical data from China shows that the cost of a Class B overhaul is typically about 67% of that of a Class A overhaul, i.e., B / A = 0.67. Therefore, the overseas Class B budget standard = the estimated overseas Class A budget value × 0.67.

[0059] This derivation method based on historical proportional relationships avoids the need to recalculate complex overseas adjustment coefficients for each maintenance level, greatly improving budget preparation efficiency while ensuring the internal logical consistency between budgets at each level.

[0060] Example 5: This embodiment discloses a system for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants, used to implement the aforementioned method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants. The system includes: The benchmark data acquisition module is used to collect the cost standards of the same level of maintenance projects for the same level of generating units from multiple domestic power generation groups and calculate the average value, and output the obtained average value as the domestic benchmark cost. The overseas adjustment factor calculation module is connected to the benchmark data acquisition module. It is used to receive domestic benchmark costs and obtain the cost amount of standard items in the historical maintenance contracts of the same level for overseas target power plants. Based on the domestic benchmark costs and historical contract costs, the overseas adjustment factor is calculated and then output. The budget standard generation module is connected to the overseas adjustment coefficient calculation module. It is used to receive the overseas adjustment coefficient, multiply the domestic benchmark cost by the overseas adjustment coefficient, obtain the cost calculation value of the overseas maintenance standard item of the same level, and at the same time, calculate the budget standard for other maintenance levels based on the proportion of maintenance costs of each level of domestic similar units to the maintenance costs of the same level. Finally, the generated budget standard data is output. The dynamic update module, connected to the budget standard generation module, is used to receive budget standard data and periodically adjust the received budget standard data according to changes in the price index or exchange rate, generate updated adjustment parameters, and feed the updated adjustment parameters back to the budget standard generation module to recalculate the budget standard. The overseas adjustment factor calculation module specifically includes the calculation of adjustment factors for maintenance engineering costs and spare parts and materials costs. The adjustment factor for maintenance engineering costs is determined based on the unit price of labor day in overseas markets, comprehensive rates and risk factors, while the adjustment factor for spare parts and materials costs is determined based on centralized procurement service fees and overseas procurement cost premiums.

[0061] Example 6: like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S1. Collect the cost standards for maintenance items of the same level and maintenance grade from multiple domestic power generation groups, and calculate the average value as the domestic benchmark cost; specific methods include: Baseline characteristics: This document provides unified quota standards and budget preparation specifications for maintenance and engineering construction projects in the domestic thermal power industry. It serves as a fundamental technical document guiding thermal power enterprises in cost estimation, budget preparation, project settlement, and project management. It sets standards for resource consumption, including labor, materials, and machinery shifts, for thermal power units at maintenance levels A, B, C, and D; and categorizes these standards by unit capacity (100MW, 300MW, 600MW, 1000MW) and maintenance level.

[0062] For example, in the Class A overhaul of a 600MW unit, the standard material cost quota of the State Energy Group is 14 million yuan and the labor cost is 13 million yuan. Its core content revolves around two main lines: "construction of quota system" and "budget preparation rules", and has the characteristics of being systematic, authoritative and highly operable.

[0063] Core framework: The budget preparation rules establish a "three-level budget system" and a "four-dimensional adjustment mechanism" to ensure that the budget is scientific, reasonable, and highly executable.

[0064] (1) The three-tier budget system is shown in Table 1 below: Table 1: Three-tiered budget system;

[0065] (2) Four-dimensional adjustment mechanism: In the compilation of quotas and budgets for the thermal power industry, the four-dimensional adjustment coefficients (k1, k2, k3, k4) are the core mechanism for dynamically transforming the budget from "benchmark value" to "actual value." Their design logic is based on standard units, using differential corrections across four dimensions to accurately reflect actual cost differences in projects. The content and adjustments of the four-dimensional adjustment coefficients are shown in Table 2 below. Table 2: Four-Dimensional Adjustment Mechanism;

[0066] Final budget formula: Actual budget = {benchmark budget} × k1 × k2 × k3 × k4.

[0067] (3) Detailed calculation methods for each coefficient: 1. Unit capacity coefficient k1: reflects the impact of unit capacity on unit cost. Generally, the larger the capacity, the lower the unit cost.

[0068] Calculation method: Taking 600MW as the baseline capacity, set k1=1.0; other capacities are calculated according to the following formula: ; Alternatively, a table lookup method can be used, as shown in Table 3 below: Table 3: Lookup Value Table;

[0069] 2. Operating hours coefficient k2: reflects the impact of the unit's service life and operating intensity on maintenance costs; the longer the operating time, the more serious the equipment aging, and the higher the maintenance cost.

[0070] Calculation method: Based on 10 years and 40,000 hours, k2=1.0, the coefficient increases by 0.05 for each additional year or 5,000 hours; the formula is: ; Or by years: Upper limit: k2≤1.5, service life exceeding 20 years or operation exceeding 60,000 hours.

[0071] 3. Technology type coefficient k3: distinguishes the complexity and maintenance difficulty of different technical routes; calculation method: The preset coefficient table 4 is used directly without complex calculations.

[0072] Table 4: Preset Coefficient Table;

[0073] Example: For an air-cooled supercritical unit, k3 = 1.30 × 1.15 = 1.495 (can be stacked). Note: If the project involves multiple technologies, they should be stacked one by one.

[0074] 4. Regional and external environment coefficient k4: reflects the impact of external factors such as geographical location, climate conditions, logistics difficulty, and supply chain stability on costs; calculation method: adopts regional classification + risk level scoring system, as shown in Table 5 below.

[0075] Table 5: Regional Classification and Risk Level Scoring;

[0076] Typical application example: A 600MW air-cooled unit, in service for 12 years, located in the coastal area of ​​Vietnam, has a total budget = base price × k1 × k2 × k3 × k4, where k3 = 1.3, k4 = 1.5, and the comprehensive coefficient can reach more than 1.95.

[0077] Example 7: like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S2, Obtain the cost amount of standard items in historical maintenance contracts of the same maintenance level for overseas target power plants, as historical contract costs; the specific implementation process is as follows: The domestic maintenance standards for 600MW generating units are as follows: The system summarizes the cost standards for Class A overhauls of 600MW coal-fired power units from the five major power groups: China Energy Investment Corporation, China Huaneng Group, China Huadian Corporation, Guangdong Yue Dian Group, and China Power International Group. The cost of a Class A overhaul in China ranges from RMB 23.2 million to RMB 30 million, with a weighted average of RMB 26.6 million, which translates to USD 3.6944 million based on the 2024 exchange rate (1 USD ≈ 7.2 RMB). To ensure comparability, indirect costs such as management fees and unforeseen expenses were excluded, and the "equivalent engineering cost" was extracted as US$1,915,800 (i.e., the domestic benchmark cost). The domestic 600MW thermal power unit maintenance cost standard is shown in Table 6 below. The cost is the cost adjusted according to the parameter adjustment coefficient of Vinh Tan Phase I Power Plant in Vietnam.

[0078] Table 6: Summary of Standard Maintenance Items for 600MW Thermal Power Plants in China (Unit: RMB 10,000)

[0079] Based on contract data from the 2024 U102A-level overhaul project of the Vinh Tan Phase I Power Plant in Vietnam. The actual total contract amount was US$3,662,700.

[0080] Example 8: like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S3, the overseas adjustment factor is calculated based on domestic benchmark costs and historical contract costs; the specific implementation process is as follows: (1) Definition of adjustment coefficient: Adjustment factor = Total actual contract cost of overseas project (USD) / Benchmark cost of equivalent domestic project (USD); This coefficient reflects the cost ratio between overseas projects and domestic projects under the same technical conditions and maintenance levels. For example, if the adjustment coefficient is 1.91, it means that the cost of overseas projects is about 1.91 times that of domestic projects.

[0081] (2) Calculation steps, taking the U102A-level overhaul of Ninh Thuan Phase I Power Plant in Vietnam as an example: Step 1: Determine the domestic benchmark cost: The standard cost for a typical 600MW coal-fired power unit's Class A overhaul in China was selected; a weighted average was calculated based on data from the five major power groups, including China Energy Investment Corporation, China Huaneng Group, and China Huadian Corporation. Domestic Class A overhaul costs range from RMB 23.2 million to RMB 30 million; Median or weighted average: 26.6 million RMB; Converted to US dollars using the 2024 exchange rate (1 US dollar ≈ 7.2 Chinese yuan): 26,600,000 7.2 = 3,694,444 US dollars; Note: The actual figure used is US$1,915,761.20, indicating that the benchmark is a more refined "equivalent cost", which is the "pure engineering cost" after excluding non-standard items, management fees, and uncontrollable factors.

[0082] Step 2: Obtain the actual overseas contract fees: Taking the 2024 U102A-level overhaul project of the Ninh Thuan Phase 1 Power Plant in Vietnam as an example, the standard project contract amount for this project was reviewed and confirmed to be: USD 3,662,688.80. This amount is the total contract price, which includes all aspects such as engineering, materials, labor, transportation, and taxes.

[0083] Step 3: Calculate the adjustment factor: ; This coefficient comprehensively reflects the premiums in the Vietnamese market in terms of labor, materials, logistics, taxes, and other factors.

[0084] In the development of overseas standards for the maintenance of thermal power equipment, the adjustment coefficient is the core bridge connecting domestic standards with actual overseas costs. Its calculation is based on the ratio of actual contract data to domestic benchmark costs, and has clear mathematical logic and verifiable data support.

[0085] Example 9: like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S4, the overseas adjustment factor is calculated based on domestic benchmark costs and historical contract costs; the specific implementation process is as follows: Multiply the domestic benchmark cost by the overseas adjustment factor to obtain the estimated cost of the same overseas maintenance standard item; the specific implementation process is as follows: For budget preparation: Overseas budget = Domestic benchmark cost × Adjustment factor, for example: Domestic project cost: US$2,472,100; Overseas project cost: US$2,472,100 × 1.91 = US$4,721,800.

[0086] Used for cost comparison analysis: It can determine whether an overseas project is "over budget" or "savings", based on whether it deviates from the coefficient of 1.91.

[0087] For dynamic updates. Adjustment factors should be updated regularly to reflect changes in exchange rates, inflation, and markets, and revised annually based on the CPI index published by the IMF or World Bank.

[0088] Total budget = maintenance engineering cost + spare parts procurement cost + other expenses, as shown in Table 7 below.

[0089] Table 7: Total Budget Components;

[0090] The final figure was rounded to $8.1 million USD for easier management and use.

[0091] Example 10: like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants includes the following steps: S5. Based on the proportion of maintenance costs for each level of similar domestic units to the total maintenance costs for the same level, the budget standards for other maintenance levels are calculated; the specific implementation process is as follows: Based on the Class A budget and the proportion of maintenance costs for each level in China, the budget standards for other levels are derived, as shown in Table 8 below.

[0092] Table 8: Budget Standards for Each Maintenance Level;

[0093] The fee standard does not include Vietnam VAT; the fee standard is the upper limit, but does not include non-standard project fees; it does not include project legal person management fees, bidding fees, maintenance technical document preparation fees, technical and economic standard preparation and management fees, maintenance project post-evaluation fees, testing fees, technical supervision fees, and equipment special repair project fees.

[0094] like Figure 3 As shown, the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants also includes the following steps: Establish a complete budget standard system for graded maintenance projects, and conduct budget standard approval and publication, including the publication of the "Graded Maintenance Project Budget Standard" and the solidification of the standard into information systems such as ERP or PMS.

[0095] Example 11: This invention also provides a computer device, such as... Figure 4 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory for displaying graphical information of a GUI on external input / output devices, such as display devices coupled to the interfaces. In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations, for example, as a server array, a group of blade servers, or a multiprocessor system. Figure 4 Take a processor 10 as an example.

[0096] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GDA), or any combination thereof.

[0097] The memory 20 stores instructions executable by at least one processor 10 to cause the at least one processor 10 to perform the method shown in the above embodiments.

[0098] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0099] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0100] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0101] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

Claims

1. A method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants, characterized in that, Includes the following steps: S1 collects operating parameters, equipment degradation data, and historical maintenance work order data of boilers, turbines, and generators through the DCS system and online equipment monitoring devices of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas, and mechanical shift consumption data of units of the same level from multiple domestic power generation groups to calculate the domestic benchmark process consumption value. S2, obtain the actual process execution data and actual consumption data of labor / materials / machinery for the same level of maintenance projects in overseas target power plants, as the actual process cost overseas; S3, based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, constructs a multi-dimensional dynamic adjustment model to calculate the adjustment coefficient of overseas processes; S4. Multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. S5 combines the constraints of safe start-up of the unit with the relationship between maintenance procedures and automatically calculates the overall budget standard for A / B / C / D level maintenance based on the proportion of maintenance costs for each level of similar units in China, and in turn constrains the allocation of maintenance resources and maintenance procedure plans.

2. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that, The operating parameters and equipment degradation data mentioned in step S1 include at least: Boiler tube wall temperature, air preheater pressure differential, wear of heating surfaces, turbine vibration value, expansion differential, generator insulation parameters, unit operating hours, number of start-ups and shutdowns, and maintenance history defect records.

3. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that, The maintenance procedures described in step S1 include at least the following: Boiler descaling and ash removal, water-cooled wall inspection, turbine cylinder opening and overhaul, rotor inspection, seal modification, denitrification catalyst ash removal, induced draft / forced draft fan overhaul, and air-cooled system maintenance.

4. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that, The adjustment coefficient for overseas processes mentioned in step S3 is calculated using the following model: Overseas process adjustment coefficient = Basic adjustment coefficient × Equipment deterioration coefficient × Labor efficiency coefficient × Logistics and transportation coefficient × Safety risk coefficient × Environmental coefficient; The basic adjustment factor is the ratio of the cost of a standard project under a historical overseas contract to the equivalent domestic cost on the same basis.

5. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that, Step S5 also includes: The generated budget is checked for safety thresholds. If the manpower, working hours, and machine shifts corresponding to the budget cannot meet the safety and start-up conditions of the unit maintenance, the resource allocation is automatically increased and the budget is corrected to ensure that the maintenance process is safe and controllable.

6. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that: The final budget standard is the upper limit of resource allocation, which may be adjusted downwards according to changes in the scope of maintenance during actual implementation; the budget does not include testing fees, technical supervision fees, equipment repair fees, project legal person management fees, bidding fees, technical document preparation fees, and post-evaluation fees.

7. The intelligent control method for overseas-level maintenance budget based on equipment status and maintenance process of coal-fired power plants according to claim 1, characterized in that, It also includes a dynamic update step: By combining IMF or World Bank CPI indices, exchange rate fluctuations, inflation, and market changes, the adjustment coefficients for overseas processes and process consumption data are periodically revised to achieve adaptive updates to budget standards.

8. A system for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants, used to implement the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants as described in any one of claims 1-7, characterized in that, The system includes: The equipment status and process acquisition module is used to collect operating parameters, equipment deterioration data and historical maintenance work order data of boilers, steam turbines and generators through the DCS system and equipment online monitoring device of overseas coal-fired power plants. At the same time, it collects standard maintenance procedures, time quotas and mechanical shift consumption data of the same level units of multiple domestic power generation groups, and calculates the domestic benchmark process consumption value. The overseas actual cost acquisition module is used to obtain the actual process execution data and the actual consumption data of labor, materials and machinery for the same level of maintenance projects in overseas target power plants, as the overseas actual process cost. The multidimensional dynamic coefficient calculation module is used to construct a multidimensional dynamic adjustment model based on equipment deterioration, overseas labor efficiency, logistics and transportation conditions, on-site safety risks, and climate and environmental factors, and calculate the adjustment coefficient of overseas processes. The standard process budget generation module is used to multiply the domestic benchmark process consumption value by the overseas process adjustment coefficient to obtain the overseas standard process budget value for the same level of maintenance. The safety constraint budget control module is used to combine the unit's safe start-up constraints with the relationship between maintenance procedures, and automatically calculate the overall budget standards for Class A, Class B, Class C, and Class D maintenance based on the proportion of maintenance costs for each level of similar units in China, and to conversely constrain the allocation of maintenance resources and maintenance procedure plans. The dynamic update module is used to periodically adjust the overseas process adjustment coefficients and process consumption data by combining the International Monetary Fund or World Bank consumer price index, exchange rate fluctuations, inflation and market changes, so as to achieve adaptive updates of budget standards.

9. A computer device, characterized in that, It includes a memory and a processor, which are interconnected and communicate with each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the budget standard preparation method for graded maintenance projects applicable to overseas coal-fired power plants as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the method for compiling budget standards for graded maintenance projects applicable to overseas coal-fired power plants, as described in any one of claims 1 to 7.

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