Technical and economic measurement and calculation method and device for power transmission and transformation project, equipment and medium

Abstract

The invention relates to the technical field of power transmission and transformation project measurement and calculation, and discloses a technical and economic measurement and calculation method and device for a power transmission and transformation project, equipment and a medium. The method comprises the following steps: acquiring salinized soil parameters corresponding to an area to be measured and calculated and technical and economic data corresponding to the area to be measured and calculated; based on the salinized soil parameters and the technical-economic data, acquiring technical-economic indexes corresponding to the to-be-measured area; acquiring a risk level corresponding to the to-be-measured area based on the technical and economic indexes; and determining the technical and economic indexes and the risk levels as measurement and calculation results of the power transmission and transformation project. Therefore, technical and economic measurement and calculation are carried out through the salinized soil parameters corresponding to the to-be-measured and calculated area and the technical and economic data corresponding to the to-be-measured and calculated area, which are acquired in real time, so that the actual situation of the to-be-measured and calculated area is more fit, and the technical and economic measurement and calculation accuracy is improved.

Description

Technical Field

[0001] This invention relates to the field of power transmission and transformation engineering calculation technology, specifically to a method, apparatus, equipment, and medium for technical and economic calculation of power transmission and transformation projects. Background Technology

[0002] Currently, saline soil exhibits characteristics such as salt swelling, dissolution, and strong corrosivity, significantly impacting aspects of power transmission and transformation projects, including foundation treatment, tower foundation protection, and equipment corrosion prevention, thus necessitating higher maintenance costs. To improve the economic efficiency of power transmission and transformation projects, technical and economic analysis and calculations are required.

[0003] In existing technologies, the technical and economic calculations for power transmission and transformation projects use general engineering technical and economic parameters, which do not take into account the special characteristics of saline soil and do not conform to the actual situation of power transmission and transformation projects, resulting in large calculation errors and low accuracy.

[0004] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this application, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0005] The technical problem to be solved by this invention is how to improve the accuracy of technical and economic calculations for power transmission and transformation projects. The purpose is to provide a method, device, equipment, and medium for technical and economic calculations of power transmission and transformation projects, so as to improve the accuracy of technical and economic calculations for power transmission and transformation projects.

[0006] This invention is achieved through the following technical solution:

[0007] In a first aspect, a method for technical and economic calculation of power transmission and transformation projects includes: obtaining saline soil parameters and technical and economic data corresponding to the area to be calculated; obtaining technical and economic indicators corresponding to the area to be calculated based on the saline soil parameters and the technical and economic data; obtaining the risk level corresponding to the area to be calculated based on the technical and economic indicators; and determining the technical and economic indicators and the risk level as the calculation results of the power transmission and transformation project.

[0008] In some embodiments, obtaining the technical and economic indicators corresponding to the area to be measured based on the saline soil parameters and the technical and economic data includes: obtaining the total investment indicator, the full life cycle cost indicator, and the investment payback period indicator of the power transmission and transformation project based on the saline soil parameters and the technical and economic data; obtaining the internal rate of return indicator and the cost adjustment indicator based on the saline soil parameters; and determining the total investment indicator, the full life cycle cost indicator, the investment payback period indicator, the internal rate of return indicator, and the cost adjustment indicator of the power transmission and transformation project as the technical and economic indicators.

[0009] In some embodiments, the cost adjustment indicators include a specific cost adjustment indicator for saline soil treatment, an equipment lifespan and replacement cost adjustment indicator, an operation and maintenance cost adjustment indicator, and a unit kilowatt cost adjustment indicator. The cost adjustment indicators are obtained as follows: the specific cost adjustment indicator for saline soil treatment is obtained based on the saline soil parameters; the equipment lifespan and replacement cost adjustment indicator is obtained based on the saline soil parameters; the operation and maintenance cost adjustment indicator is obtained based on the saline soil parameters; and the unit kilowatt cost adjustment indicator is obtained based on both the specific cost adjustment indicator for saline soil treatment and the saline soil parameters.

[0010] In some embodiments, obtaining the risk level corresponding to the area to be measured based on the technical and economic indicators includes: obtaining the risk value of cost overrun for saline soil foundation treatment and the risk value of surge in operation and maintenance costs based on the technical and economic indicators; obtaining the risk value of construction period delay and the risk value of environmental compliance based on the saline soil parameters and the technical and economic data; and obtaining the risk level based on the risk value of cost overrun for saline soil foundation treatment, the risk value of surge in operation and maintenance costs, the risk value of construction period delay, and the risk value of environmental compliance.

[0011] In some embodiments, obtaining the risk value of cost overrun and the risk value of surge in operation and maintenance costs for saline-alkali soil foundation treatment based on the technical and economic indicators includes: obtaining the probability of cost overrun and the probability of surge in operation and maintenance costs for saline-alkali soil foundation treatment based on the saline-alkali soil parameters and the technical and economic data; obtaining the amount of loss due to cost overrun and the amount of loss due to surge in operation and maintenance costs for saline-alkali soil foundation treatment based on the technical and economic indicators; determining the risk value of cost overrun for saline-alkali soil foundation treatment as the product of the probability of cost overrun and the amount of loss due to cost overrun; and determining the risk value of surge in operation and maintenance costs as the product of the probability of surge in operation and maintenance costs and the amount of loss due to surge in operation and maintenance costs.

[0012] In some embodiments, obtaining the risk level based on the risk value of cost overrun for saline soil foundation treatment, the risk value of surge in operation and maintenance costs, the risk value of construction delay, and the risk value of environmental compliance includes: performing a weighted operation on the risk value of cost overrun for saline soil foundation treatment, the risk value of surge in operation and maintenance costs, the risk value of construction delay, and the risk value of environmental compliance to obtain a comprehensive risk value corresponding to the area to be measured; and obtaining the risk level based on the comprehensive risk value.

[0013] Secondly, an apparatus for technical and economic calculation of power transmission and transformation projects includes: a data acquisition module configured to acquire saline soil parameters corresponding to the area to be calculated and technical and economic data corresponding to the area to be calculated; a technical and economic index acquisition module configured to acquire technical and economic indicators corresponding to the area to be calculated based on the saline soil parameters and the technical and economic data; a risk level acquisition module configured to acquire the risk level corresponding to the area to be calculated based on the technical and economic indicators; and a determination module configured to determine the technical and economic indicators and the risk level as the calculation results of the power transmission and transformation project.

[0014] Thirdly, an apparatus for technical and economic calculations in power transmission and transformation projects includes a processor and a memory storing program instructions, the processor being configured to execute the aforementioned method for technical and economic calculations in power transmission and transformation projects when the program instructions are executed.

[0015] Fourthly, a device for technical and economic calculation of power transmission and transformation projects includes a cabinet and the aforementioned device for technical and economic calculation of power transmission and transformation projects; the device for technical and economic calculation of power transmission and transformation projects is placed inside the cabinet.

[0016] Fifthly, a storage medium stores program instructions that, when executed, perform the aforementioned method for technical and economic calculations for power transmission and transformation projects.

[0017] Compared with existing technologies, this invention obtains the saline soil parameters and technical and economic data corresponding to the area to be measured. Based on these parameters and data, it derives the corresponding technical and economic indicators and risk levels. These indicators and risk levels are then used as the calculation results for the power transmission and transformation project. Thus, compared to existing technologies that use general engineering technical and economic parameters, this method, by using real-time collected saline soil parameters and technical and economic data, more closely reflects the actual conditions of the area and improves the accuracy of the calculations. Attached Figure Description

[0018] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0019] Figure 1 This is a flowchart of a method for technical and economic calculation in power transmission and transformation engineering provided in an embodiment of this disclosure;

[0020] Figure 2This is a schematic diagram of a device for technical and economic calculation in power transmission and transformation engineering provided in an embodiment of this disclosure;

[0021] Figure 3 This is a schematic diagram of a device for technical and economic calculation in power transmission and transformation engineering provided in an embodiment of this disclosure;

[0022] Figure 4 This is a schematic diagram of another device for technical and economic calculations in power transmission and transformation projects provided in this embodiment of the disclosure. Detailed Implementation

[0023] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0024] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0025] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or controller devices and / or microcontroller devices.

[0026] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.

[0027] In this application, "multiple" refers to two or more. "And / or" describes the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A alone, A and B simultaneously, or B alone. The character " / " generally indicates that the preceding and following related objects have an "or" relationship.

[0028] Please see Figure 1 , Figure 1 This is a flowchart illustrating a method for technical and economic calculations for power transmission and transformation projects, as shown in an exemplary embodiment of this application.

[0029] Combination Figure 1 As shown in the embodiments of this disclosure, a method for technical and economic calculations in power transmission and transformation projects is provided, the method comprising:

[0030] Step S101: Obtain the saline soil parameters and technical and economic data corresponding to the area to be measured.

[0031] Step S102: Obtain the technical and economic indicators corresponding to the area to be measured based on the saline soil parameters and technical and economic data.

[0032] Step S103: Obtain the risk level corresponding to the area to be measured based on technical and economic indicators.

[0033] Step S104: The technical and economic indicators and risk levels are determined as the calculation results for the power transmission and transformation project.

[0034] The method for technical and economic calculation of power transmission and transformation projects provided in this disclosure involves acquiring the saline soil parameters and technical and economic data corresponding to the area to be calculated. Based on these parameters, technical and economic indicators are obtained, and the risk level is determined. These indicators and risk level are then used to determine the calculation results for the power transmission and transformation project. Compared to the prior art which uses general engineering technical and economic parameters, this method uses real-time collected saline soil parameters and technical and economic data to perform the calculations, which better reflects the actual conditions of the area and improves the accuracy of the technical and economic calculations.

[0035] Furthermore, the parameters of the saline soil corresponding to the area to be measured and the technical and economic data corresponding to the area to be measured are obtained, including: collecting the parameters of the saline soil corresponding to the area to be measured using the saline soil parameter acquisition module; and collecting the technical and economic data corresponding to the area to be measured using the technical and economic data acquisition module.

[0036] The parameters of saline soil include the salinity, moisture content, and pH value of the saline soil in the area to be measured.

[0037] It should be noted that the saline soil parameter acquisition module includes a sensor group and a wireless data receiving unit.

[0038] The sensor array includes a salinity sensor, a moisture content sensor, and a pH sensor. Specifically, the salinity of the saline soil in the area to be measured is acquired using the salinity sensor; the moisture content of the saline soil in the area to be measured is acquired using the moisture content sensor; and the pH value of the saline soil in the area to be measured is acquired using the pH sensor. This enables real-time acquisition of the core characteristic parameters of the saline soil in the area to be measured.

[0039] It should be noted that the sensor set also includes a salt swelling monitor and a solution collapse coefficient collector; the salt swelling monitor is used to collect the salt swelling amount of the saline soil in the area to be measured; the solution collapse coefficient collector is used to collect the solution collapse coefficient of the saline soil in the area to be measured. This allows users to more clearly understand the characteristics of the saline soil in the area to be measured.

[0040] The amount of salt swelling in the saline soil of the area to be measured was collected by a salt swelling monitoring instrument; the solution collapse coefficient of the saline soil of the area to be measured was collected by a solution collapse coefficient collector.

[0041] The wireless data receiving unit uses 5G / BeiDou dual-mode communication to obtain long-term dynamic change data of saline soil in the area to be measured from the geological survey database and regional meteorological platform of the receiving and measurement area.

[0042] It should be noted that the technical and economic data includes: cost data for various construction techniques, cost data for saline soil materials, equipment cost data, remediation subsidy data, and environmental protection construction cost data.

[0043] Furthermore, the technical and economic data acquisition module includes: a saline soil treatment cost acquisition unit, a material and equipment price monitoring interface, and a policy data synchronization unit.

[0044] It should be noted that the cost acquisition unit for saline soil treatment connects to the metering device for foundation treatment construction machinery and the statistical device for anti-corrosion material consumption via pre-set sensors to collect cost data corresponding to various construction processes in the area to be calculated. For example, cost data for construction processes such as replacement and anti-corrosion. This cost data is in unit price format.

[0045] The material and equipment price monitoring interface connects in real time to the supplier quotation system and / or the power engineering material price index platform for salt-resistant anti-corrosion coatings, saline soil curing agents and other special materials and equipment for saline soil, to obtain material cost data and equipment cost data for saline soil.

[0046] The policy data synchronization unit automatically captures data on governance subsidies and environmental protection construction costs for the area to be measured.

[0047] In some embodiments, if the area to be measured is located in Qinghai, the policy data synchronization unit can automatically capture national and local Qinghai saline soil treatment subsidy policies and environmental protection construction fee standards, thereby obtaining Qinghai's treatment subsidy data and environmental protection construction cost data.

[0048] Furthermore, based on saline soil parameters and technical and economic data, the corresponding technical and economic indicators for the area to be measured are obtained, including: obtaining the total investment, life-cycle cost, and payback period indicators for the power transmission and transformation project based on saline soil parameters and technical and economic data; obtaining the internal rate of return (IRR) and cost adjustment indicators based on saline soil parameters; and defining the total investment, life-cycle cost, payback period, IRR, and cost adjustment indicators for the power transmission and transformation project as technical and economic indicators. In this way, by obtaining the total investment, life-cycle cost, payback period, IRR, and cost adjustment indicators for the power transmission and transformation project based on saline soil parameters and technical and economic data, and defining these indicators as technical and economic indicators, multi-dimensional measurement of the technical and economic indicators is achieved.

[0049] Furthermore, the total investment index for power transmission and transformation projects is obtained in the following ways: the special cost of saline soil treatment is obtained based on saline soil parameters and technical and economic data; the total investment index for power transmission and transformation projects is obtained based on the special cost of saline soil treatment.

[0050] Furthermore, based on saline soil parameters and technical and economic data, specific costs for saline soil treatment are obtained, including: obtaining the saline soil treatment workload for each type of treatment process and the corresponding construction difficulty correction coefficient. Correction coefficients for saline soil characteristics for each treatment process are also obtained based on the saline soil parameters. This is achieved through calculations. , and obtain special costs for saline soil treatment. Among them, Special costs for saline soil treatment; For the first The amount of engineering work required for saline soil treatment corresponding to this type of treatment process; For the first Cost data corresponding to the processing technology; For the first Correction coefficients for saline soil characteristics corresponding to different treatment processes; For the first Correction coefficient for construction difficulty corresponding to the type of treatment process; This represents the number of processing techniques.

[0051] In some embodiments, the treatment process includes replacement, solidification, and corrosion protection. This is a treatment process used in power transmission and transformation projects. When the treatment process is replacement, the volume of saline soil treatment work is the replacement volume, and its unit is... When the treatment process involves corrosion prevention, the quantity of work for saline soil treatment is the area of ​​the corrosion-resistant coating, and its unit is... When the treatment process is solidification, the quantity of work for saline soil treatment is the length of foundation reinforcement, and its unit is [unit missing]. .

[0052] The correction coefficients for saline soil properties and construction difficulty for various treatment processes are all dimensionless data.

[0053] Furthermore, based on the parameters of the saline soil, correction coefficients for saline soil characteristics corresponding to various treatment processes are obtained. This includes: performing a lookup operation on a pre-set saline soil characteristic correction data table using the salinity and moisture content of the saline soil to obtain the corresponding correction data for saline soil characteristics. The saline soil characteristic correction data includes the correction coefficients for various treatment processes. The saline soil characteristic correction data table stores the correspondence between the salinity and moisture content of the saline soil and the correction data for saline soil characteristics.

[0054] It should be noted that the data table for correcting the characteristics of saline soil and the correction coefficients for the construction difficulty corresponding to various treatment processes can be stored in the preset parameter correction model library.

[0055] It should be noted that the construction difficulty correction factor is determined based on the traffic conditions and extreme temperature differences in the area to be measured. The more congested the traffic and the greater the extreme temperature difference, the greater the construction difficulty and the larger the construction difficulty correction factor. The value range of the construction difficulty correction factor can be 1.05-1.3.

[0056] Furthermore, based on the special cost of saline soil treatment, the total investment index for the power transmission and transformation project is obtained, including: the equipment purchase cost, construction cost, and installation cost of the power transmission and transformation project. The transportation and warehousing rate corresponding to the area to be calculated is also obtained. This is then calculated... The total investment target for power transmission and transformation projects was obtained. This refers to the total investment index for power transmission and transformation projects; For equipment purchase costs; For construction costs; For installation engineering costs; For transportation and warehousing rates; The preset basic reserve fee rate.

[0057] It should be noted that transportation and warehousing rates can be stored in a pre-defined parameter correction model library. These rates are positively correlated with the road conditions of the area to be measured. In some embodiments, .

[0058] Furthermore, the total lifecycle cost metric is obtained through the following method: by calculation. To obtain the total lifecycle cost metric. It is a cost indicator for the entire life cycle.

[0059] The preset service life of power transmission and transformation projects is 30 years. The operation and maintenance cost of the power transmission and transformation project in year t includes anti-corrosion maintenance costs, equipment inspection costs, and saline soil remediation costs. It increases year by year, with a growth rate of 3%-5%. The operation and maintenance cost in year t can be calculated from the current operation and maintenance cost of the power transmission and transformation project. This represents the equipment replacement cost for a power transmission and transformation project in year t. This cost can be pre-stored in a pre-defined parameter correction model library, meaning it can be obtained from this library. Let be the environmental remediation cost of the power transmission and transformation project in year t. It can take the value of environmental construction cost data. This is the preset benchmark rate of return. .

[0060] Furthermore, investment payback period indicators include static payback period indicators and dynamic payback period indicators.

[0061] It should be noted that the static payback period indicator is obtained as follows: The annual electricity sales revenue and operating costs of the power transmission and transformation project are obtained. This is calculated... The static payback period index was obtained. This refers to the static payback period indicator. Let be the electricity sales revenue of the power transmission and transformation project in year k; whereby the electricity sales revenue of the power transmission and transformation project in the current year or the previous year can be determined as the electricity sales revenue of year k. Let $\frac{ ...

[0062] It should be noted that the dynamic payback period indicator is obtained as follows: The annual electricity sales revenue and operating costs of the power transmission and transformation project are obtained. This is achieved through calculation... This allows us to obtain dynamic payback period indicators.

[0063] Furthermore, the internal rate of return (IRR) metric is obtained by calculating the annual cash inflows and outflows of the power transmission and transformation project. This is achieved by solving the formula... This yields the internal rate of return (IRR) metric. Internal rate of return (IRR) metric; For the cash inflow of power transmission and transformation projects in year t; Cash outflow for the power transmission and transformation project in year t; This is the preset engineering calculation period.

[0064] It should be noted that the cash inflow in year t is the sum of the electricity sales revenue and the subsidy revenue in year t. The subsidy revenue in year t can be extracted from the governance subsidy data.

[0065] The cash outflow in year t is the sum of the initial investment, operating costs, and taxes in year t.

[0066] Furthermore, the cost adjustment indicators include specific cost adjustment indicators for saline soil treatment, equipment lifespan and replacement cost adjustment indicators, operation and maintenance cost adjustment indicators, and unit kilowatt cost adjustment indicators. These cost adjustment indicators are obtained as follows: specific cost adjustment indicators for saline soil treatment are obtained based on saline soil parameters; equipment lifespan and replacement cost adjustment indicators are obtained based on saline soil parameters; operation and maintenance cost adjustment indicators are obtained based on saline soil parameters; and unit kilowatt cost adjustment indicators are obtained based on specific cost adjustment indicators for saline soil treatment, saline soil parameters, and technical and economic data. In this way, by obtaining specific cost adjustment indicators for saline soil treatment, equipment lifespan and replacement cost adjustment indicators, operation and maintenance cost adjustment indicators, and unit kilowatt cost adjustment indicators based on saline soil parameters, accurate calculation of these indicators is achieved.

[0067] Furthermore, specific cost correction indicators for saline soil treatment are obtained based on saline soil parameters, including: obtaining the treatment cost of non-saline soil; obtaining the average annual freeze-thaw cycles of the area to be measured; obtaining a salinity correction coefficient based on the salinity of the saline soil; obtaining a soil moisture correction coefficient based on the moisture content of the saline soil; obtaining a pH correction coefficient based on the pH value of the saline soil; obtaining a freeze-thaw cycle correction coefficient based on the average annual freeze-thaw cycles; and calculating... , and obtained special cost correction indicators for saline soil treatment. Among them, Adjustment indicators for special costs of saline soil treatment; The cost of treating non-saline soil; This is the salt content correction factor; Soil moisture correction factor; This is the pH correction factor; This is the freeze-thaw cycle correction factor. , , , All are dimensionless coefficients.

[0068] It should be noted that obtaining the salt content correction coefficient based on the salt content of saline soil includes: performing a lookup operation on a preset salt content correction data table using the salt content of saline soil to obtain the salt content correction coefficient corresponding to the salt content of saline soil; the salt content correction data table stores the correspondence between the salt content of saline soil and the salt content correction coefficient.

[0069] In some embodiments, the salinity of saline soil In this case, Salt content of saline soil In this case, The salinity of saline soil is 1%. In this case, Salt content of saline soil In this case, It should be noted that this applies when the area to be measured is a pre-defined area of ​​highly saline soil. The salt content of saline soil is 2.2. In this case, .

[0070] It should be noted that obtaining the soil moisture correction coefficient based on the moisture content of saline soil includes: performing a lookup operation on a preset soil moisture correction data table using the moisture content of saline soil to obtain the soil moisture correction coefficient corresponding to the moisture content of saline soil; the soil moisture correction data table stores the correspondence between the moisture content of saline soil and the soil moisture correction coefficient.

[0071] In some embodiments, the moisture content of saline soil In this case, Moisture content of saline soil In this case, Moisture content of saline soil In this case, .

[0072] It should be noted that obtaining the pH correction factor based on the pH value of saline soil includes: performing a lookup operation on the pH value of saline soil in a preset pH correction data table to obtain the pH correction factor corresponding to the pH value of saline soil; the pH correction data table stores the correspondence between the pH value of saline soil and the pH correction factor.

[0073] In some embodiments, the pH value of saline soil or, In this case, ; In this case, This increases the cost of corrosion prevention in acidic / alkaline saline soil areas.

[0074] It should be noted that obtaining the freeze-thaw cycle correction coefficient based on the average annual freeze-thaw cycles includes: performing a lookup operation in a preset freeze-thaw correction data table using the average annual freeze-thaw cycles to obtain the freeze-thaw cycle correction coefficient corresponding to the average annual freeze-thaw cycles; the freeze-thaw correction data table stores the correspondence between the average annual freeze-thaw cycles and the freeze-thaw cycle correction coefficient.

[0075] In some embodiments, when the average number of freeze-thaw cycles per year N ≤ 10... The average number of freeze-thaw cycles per year In this case, The average number of freeze-thaw cycles per year In this case, .

[0076] Furthermore, equipment lifespan and replacement cost correction indicators are obtained based on saline soil parameters, including: obtaining equipment lifespan in saline soil environments based on preset equipment lifespan in non-saline soil environments and saline soil salinity; and calculating... This yields revised indicators for equipment lifespan and replacement costs. Adjustment indicators for equipment lifespan and replacement costs; Cost of replacing conventional environmental equipment; The design life of the equipment in a typical environment is 30 years. For equipment lifespan in saline soil environments.

[0077] Furthermore, the lifespan of equipment in a saline-alkali soil environment is obtained based on the preset lifespan of equipment in a non-saline-alkali soil environment and the salinity of the saline-alkali soil. This includes: performing a lookup operation in a preset lifespan correction data table using the salinity of the saline-alkali soil to obtain the lifespan correction coefficient corresponding to the salinity of the saline-alkali soil; the lifespan correction data table stores the correspondence between the salinity of the saline-alkali soil and the lifespan correction coefficient. The product of the lifespan of equipment in a non-saline-alkali soil environment and the lifespan correction coefficient is determined as the lifespan of equipment in a saline-alkali soil environment.

[0078] In some embodiments, the salinity of the saline soil Under these conditions, the lifespan correction factor is 0.8. In saline soil with a salt content of... Under these conditions, the lifespan correction factor is 0.6. In saline soils with a salinity content of... In this case, the life correction factor is in the range of 0.4 to 0.5.

[0079] Furthermore, operation and maintenance cost correction indicators are obtained based on saline soil parameters, including: obtaining the saline soil corrosion operation and maintenance correction coefficient based on the saline soil salt content; and calculating... This allows us to obtain operational cost correction indicators. Among them, This is an indicator for adjusting operation and maintenance costs; The pre-set operation and maintenance costs for non-saline soil environments; The positive coefficient for corrosion of saline soil during operation and maintenance.

[0080] Furthermore, the corrosion operation and maintenance correction coefficient of saline soil is obtained based on the salinity of the saline soil, including: performing a lookup operation in a preset corrosion operation and maintenance correction data table using the salinity of the saline soil to obtain the corrosion operation and maintenance correction coefficient of the saline soil corresponding to the salinity of the saline soil; the corrosion operation and maintenance correction data table stores the correspondence between the salinity of the saline soil and the corrosion operation and maintenance correction coefficient of the saline soil.

[0081] In some embodiments, the salinity of the saline soil Under certain conditions, the corrosion resistance coefficient of saline soil is 0.2. The salinity of the saline soil is... Under certain conditions, the corrosion resistance coefficient of saline soil is 0.4. The salinity of the saline soil is... Under these conditions, the corrosion resistance coefficient of saline soil is in the range of 0.6 to 0.8.

[0082] Furthermore, based on the special cost correction index for saline soil treatment, saline soil parameters, and technical and economic data, the unit cost correction index per kilowatt includes:

[0083] Through calculation This yielded a cost correction index per kilowatt. Among them, The cost per kilowatt is adjusted index; The cost per kilowatt is the pre-set cost for a non-saline soil environment; This is the pre-set cost for treating non-saline soil.

[0084] Furthermore, the risk level corresponding to the area to be measured is obtained based on technical and economic indicators, including: obtaining the risk values ​​for cost overruns and surges in operation and maintenance costs for saline-alkali soil foundation treatment based on technical and economic indicators; obtaining the risk values ​​for construction delays and environmental compliance based on saline-alkali soil parameters; and obtaining the risk level based on these risk values. In this way, by obtaining the risk values ​​for cost overruns and surges in operation and maintenance costs for saline-alkali soil foundation treatment based on technical and economic indicators; obtaining the risk values ​​for construction delays and environmental compliance based on saline-alkali soil parameters; and obtaining the risk level based on these risk values, the risk of cost overruns and surges in operation and maintenance costs, construction delays, and environmental compliance is quantified, facilitating risk alerts and optimization suggestions based on the risk level.

[0085] It should be noted that the characteristics of saline soil affect the risk. For example, the higher the salt content of saline soil, the greater the associated risk. Similarly, the higher the water content of saline soil, the higher the likelihood of corrosion / settlement, and the greater the associated risk. The pH value of saline soil describes its acidity or alkalinity; the stronger the acidity or alkalinity, the higher the associated risk. A higher average number of freeze-thaw cycles per year increases the risk of structural damage. Lower soil compaction levels increase the risk of foundation settlement.

[0086] Furthermore, the risk values ​​for cost overruns and surges in operation and maintenance costs for saline-alkali soil foundation treatment are obtained based on technical and economic indicators. This includes: obtaining the probability of cost overruns and surges in operation and maintenance costs for saline-alkali soil foundation treatment based on saline-alkali soil parameters; obtaining the amount of losses due to cost overruns and surges in operation and maintenance costs for saline-alkali soil foundation treatment based on technical and economic indicators; determining the risk value for cost overruns of saline-alkali soil foundation treatment as the product of the probability of cost overruns and the amount of losses due to cost overruns; and determining the risk value for surges in operation and maintenance costs as the product of the probability of surges and the amount of losses due to surges in operation and maintenance costs. In this way, the risk value of cost overrun for saline soil foundation treatment describes the changes in foundation treatment process and the increase in engineering workload caused by excessive salt and water content due to the characteristics of saline soil, resulting in overruns of special costs. The risk value of surge in operation and maintenance costs describes the accelerated corrosion of equipment due to high salt spray and high humidity environment of saline soil, resulting in shortened equipment life, increased operation and maintenance frequency, and higher-than-expected operation and maintenance costs throughout the entire life cycle. This achieves the quantification of the risk of cost overrun for saline soil foundation treatment and the risk of surge in operation and maintenance costs due to equipment corrosion.

[0087] Furthermore, based on the parameters of saline soil, the probability of cost overruns in saline soil foundation treatment and the probability of a surge in operation and maintenance costs are obtained, including: obtaining the baseline probability of cost overruns in foundation treatment, equipment corrosion and operation and maintenance, and soil compaction for the area to be calculated; obtaining a first and second salt content probability correction coefficient based on the saline soil salinity; obtaining a first humidity probability correction coefficient based on the saline soil moisture content; obtaining a compaction probability correction coefficient based on the soil compaction degree; obtaining a first pH probability correction coefficient based on the saline soil pH value; obtaining a first freeze-thaw cycle probability correction coefficient based on the average annual freeze-thaw cycles; and calculating... The probability of cost overruns in saline soil foundation treatment was obtained. The probability of cost overruns in saline soil foundation treatment; This represents the baseline probability of cost overrun for foundation treatment in the area to be measured. This is the probability correction coefficient for the first salinity level; This is the first humidity probability correction factor; This is the compaction probability correction coefficient. It is calculated... The probability of cost overruns in saline soil foundation treatment was obtained. The probability of cost overruns in saline soil foundation treatment; The baseline probability of equipment corrosion exceeding maintenance costs; This is the probability correction coefficient for the second salt content; This is the probability correction coefficient for the first acidity / alkalinity. This is the probability correction coefficient for the first freeze-thaw cycle.

[0088] It should be noted that the probability of exceeding the budget benchmark for foundation treatment costs is... It is dimensionless data, which is based on historical data of Qinghai saline soil project, and the value ranges from 0.2 to 0.35. When the area to be measured is a preset strong saline soil area, the upper limit is taken, that is, 0.35.

[0089] First salt content probability correction coefficient The moisture content of saline soil is obtained by searching a preset first moisture content probability data table. In some embodiments, When ≤0.5%, =1.0; 0.5%< When ≤1%, =1.3; 1%< When ≤2%, =1.8; When >2%, It falls within the range of 2.2-2.5.

[0090] First humidity probability correction factor The moisture content of saline soil is obtained by searching a preset first moisture content probability data table. In some embodiments, When ≤20%, =1.0; 20%< When ≤30%, =1.2; When >30% =1.5.

[0091] Compaction Probability Correction Coefficient The soil compaction degree is obtained by searching a preset first compaction degree probability data table. In some embodiments, When ≥1.7, =0.8; 1.5≤ When <1.7, =1.0; When <1.5, =1.3.

[0092] Equipment corrosion and maintenance cost overrun probability These are dimensionless data, with values ​​ranging from 0.4 to 0.6. When the preset measurement area is a preset acidic / alkaline saline soil area, the upper limit, 0.6, is used.

[0093] Second salt content probability correction coefficient The salinity of the saline soil is obtained by searching a preset second salinity probability data table. In some embodiments, When ≤1%, =1.0; 1%< When ≤2%, = 1.6; When it is > 2%, It is within the range of 2.3 - 2.8.

[0094] The first pH value probability correction coefficient Obtained by looking up the pH value of saline soil in the preset first saline soil pH value probability data table. In some embodiments, when 7 ≤ pH value of saline soil ≤ 8, = 1.0; When the pH value of saline soil < 7 or the pH value of saline soil > 8, It is within the range of 1.2 - 1.5.

[0095] The first freeze - thaw cycle probability correction coefficient Obtained by looking up the annual average number of freeze - thaw cycles in the preset first freeze - thaw probability data table. In some embodiments, when the annual average number of freeze - thaw cycles N ≤ 10, = 1.0; When 10 < N ≤ 20, = 1.4; When N > 20, = 1.8.

[0096] Furthermore, obtain the loss amount of cost overrun for saline soil foundation treatment and the loss amount of sharp increase in operation and maintenance costs according to technical and economic indicators, including: By calculating , obtain the loss amount of cost overrun for saline soil foundation treatment. Among them, Is the loss amount of cost overrun for saline soil foundation treatment; Is the special budget for saline soil treatment, which is the budget amount obtained based on preliminary exploration data; Is the capital occupation loss coefficient caused by cost overrun, which is dimensionless data and is calculated according to the financing interest rate of the area to be measured; its value range is 0.04 - 0.06. By calculating , obtain the loss amount of sharp increase in operation and maintenance costs. Among them, Is the loss amount of sharp increase in operation and maintenance costs; Is the benchmark operation and maintenance cost in the t - th year, that is, the operation and maintenance cost in the t - th year in a non - saline soil environment; Is the benchmark equipment replacement cost in the t - th year, that is, the equipment replacement cost of the equipment in the t - th year in a non - saline soil environment.

[0097] Furthermore, the construction period delay risk value is obtained in the following way: Obtain the second freeze - thaw cycle probability correction coefficient according to the annual average number of freeze - thaw cycles; Obtain the second humidity probability correction coefficient according to the moisture content of saline soil; By calculating , obtain the occurrence probability of construction period delay risk; Among them, Is the occurrence probability of construction period delay risk; $P_0$ is the baseline probability of project duration delay corresponding to the area to be measured, and it is dimensionless data; its value range in areas such as along the Qilian Mountains in Qinghai is 0.3 - 0.5; $K_2$ is the probability correction coefficient for the second freeze-thaw cycle; $K_3$ is the probability correction coefficient for the second humidity; obtained by calculating $L$, the loss amount of the project duration delay risk; where $L$ is the loss amount of the project duration delay risk; $t$ is the actual project duration; $t_0$ is the preset planned project duration; $C$ is the daily construction stagnation cost; when it is in Qinghai in the area to be measured, its value range is 5000 - 15000 yuan / day; $D$ is the daily liquidated damages for project duration delay. The product of the occurrence probability of the project duration delay risk and the loss amount of the project duration delay risk is determined as the project duration delay risk value.

[0098] It should be noted that the project duration delay risk value describes that the frequent freeze-thaw cycles in the high-altitude saline soil area lead to the suspension of foundation construction and process rework, resulting in project duration delay and related losses.

[0099] It should be noted that the probability correction coefficient for the first freeze-thaw cycle is obtained by looking up in the preset first freeze-thaw probability data table using the annual average number of freeze-thaw cycles. In some embodiments, when the annual average number of freeze-thaw cycles $N \leq 15$, $K_1 = 1.0$; when $15 < N \leq 20$, $K_ = 1.5$; when $N > 20$, $K_ = 2.0$.

[0100] The probability correction coefficient for the second humidity is obtained by looking up in the preset second moisture content probability data table using the moisture content of saline soil. In some embodiments, when $\omega \leq 25\%$, $K_3 = 1.0$; when $\omega > 25\%$, $K_3 = 2.0$.

[0101] Furthermore, the environmental protection compliance risk value is obtained through the following method: obtaining the third salt content probability correction coefficient according to the salt content of saline soil; obtaining the second acidity-base probability correction coefficient according to the pH value of saline soil; obtaining the cost of contaminated soil remediation of saline soil according to the third salt content probability correction coefficient; by calculating $P$, the occurrence probability of the environmental protection compliance risk; where $P$ is the occurrence probability of the environmental protection compliance risk; This represents the environmental compliance baseline probability for the area to be measured, and it is dimensionless data; when the area to be measured is a pre-defined ecologically sensitive area, its value ranges from 0.15 to 0.25. This is the probability correction coefficient for the third salt content; This is the second pH probability correction coefficient; calculated... To obtain the amount of loss due to environmental compliance risks; among which, The amount of loss due to environmental compliance risks; This refers to the amount of environmental administrative penalties. The cost of remediating saline-alkali soil contaminated soil. The environmental compliance risk value is determined by multiplying the probability of occurrence of environmental compliance risk by the amount of loss due to environmental compliance risk.

[0102] Environmental compliance risk values ​​describe the consequences of substandard discharge of wastewater and waste residue generated during saline soil treatment processes (such as backfilling and the use of solidifying agents), leading to environmental penalties and soil remediation costs.

[0103] Third salt content probability correction coefficient The salinity of the saline soil is obtained by searching a preset second salinity probability data table. In some embodiments, When ≤1%, =1.0; When >1%, It falls within the range of 1.5-1.8.

[0104] Second pH probability correction coefficient The pH value of the saline soil is obtained by searching a preset first probability data table of saline soil pH values. In some embodiments, when the pH value of the saline soil is 6.5 ≤ pH value ≤ 8.5, =1.0; when the pH value of saline soil is <6.5 or >8.5, =1.3.

[0105] Furthermore, the cost of remediation of saline-alkali soil contaminated with salt is obtained based on the third salt content probability correction coefficient, including: through calculation To obtain the cost of remediation for saline-alkali soil contaminated with soil. Among them, For the area to be repaired; The unit price for remediation of saline soil contaminated with soil.

[0106] Furthermore, risk levels are obtained based on the risk values ​​of cost overruns in saline soil foundation treatment, surges in operation and maintenance costs, project delays, and environmental compliance. This includes weighting these risk values ​​to obtain a comprehensive risk value for the area to be assessed; and then determining the risk level based on this comprehensive risk value. By weighting each risk value, the risks of power transmission and transformation projects can be reflected, facilitating the classification of risk levels and, consequently, enabling different levels of alarms.

[0107] In some embodiments, the risk values ​​for cost overruns in saline soil foundation treatment, surges in operation and maintenance costs, project delays, and environmental compliance are weighted to obtain a comprehensive risk value for the area to be measured. This yields a comprehensive risk value. This is the overall risk value; Risk value for cost overruns in saline soil foundation treatment The weight corresponding to the risk value of cost overrun for saline soil foundation treatment; Risk value for soaring operation and maintenance costs; The weight corresponding to the risk value of a surge in operation and maintenance costs; This represents the risk value for project delays. The weights corresponding to the risk values ​​of project delays; Environmental compliance risk value; The weights corresponding to the environmental compliance risk values.

[0108] , , and All are preset values. In some embodiments, ; ; ; .

[0109] It should be noted that the risk level is obtained based on the comprehensive risk value, that is, in In this case, the risk level is determined to be 1; In this case, the risk level is determined to be 2; In this case, the risk level is determined to be 3; In this case, the risk level is determined to be 4; In this case, the risk level is determined to be 5;

[0110] In some embodiments, risk level classification and early warning adaptation are combined with a comprehensive risk value ( The risk levels correspond to 1-5 warning levels and are linked with the graded warning device: Risk Level | Comprehensive Risk Value Range (Ten Thousand Yuan) | Warning Signal Handling Requirements: Level 1 is a low-risk level, green alert, routine monitoring, no additional handling required; Level 2 is a general risk level, blue alert, existing plan needs to be optimized and parameter monitoring strengthened; Level 3 is a relatively high-risk level, yellow alert is activated, special review is initiated, and technical and economic plans are adjusted; Level 4 is a major risk level, orange alert is activated, relevant processes are suspended, notification is sent to management personnel terminals, and emergency plans are developed; Level 5 is an extremely high-risk level, red alarm is activated, all work is suspended, expert demonstration is organized, and the design plan is re-optimized.

[0111] It should be noted that if any of the risk values ​​for cost overruns in saline soil foundation treatment, surges in operation and maintenance costs, project delays, environmental compliance, or the overall risk exceed the specified limits, an optimized solution corresponding to that risk value can be generated and pushed to the user. The optimized technical and economic indicators and risk levels will be recalculated and pushed to the user for easy viewing and analysis.

[0112] It should be noted that the correction coefficients in this scheme are all stored in the corresponding correction data tables, and each correction data table is stored in the parameter correction model library.

[0113] After real-time collection of saline soil parameters, the system automatically calls the correction coefficients in the parameter correction model library to dynamically update the probability of risk occurrence (P) and the amount of loss (L), thereby achieving real-time calculation of risk values. Each benchmark probability and loss benchmark value is compiled based on the completion data of saline soil projects, quotas, and environmental penalty cases in the past 5 years to ensure that it fits the actual situation of the area to be calculated. Optimization scheme linkage: When a single risk value or the comprehensive risk value exceeds the standard, the optimization scheme generation unit automatically matches the corresponding solution and updates the calculation results and risk values ​​simultaneously.

[0114] Please see Figure 2 , Figure 2 This is a schematic diagram of an apparatus for technical calculations in power transmission and transformation engineering, illustrating an exemplary embodiment of this application.

[0115] Combination Figure 2 As shown in the figure, this disclosure provides an apparatus 200 for technical and economic calculations in power transmission and transformation projects. The apparatus includes:

[0116] The data acquisition module 201 is configured to acquire the saline soil parameters and technical and economic data corresponding to the area to be measured.

[0117] The technical and economic indicators acquisition module 202 is configured to acquire the technical and economic indicators corresponding to the area to be measured based on saline soil parameters and technical and economic data.

[0118] The risk level acquisition module 203 is configured to acquire the risk level corresponding to the area to be measured based on technical and economic indicators.

[0119] Module 204 is configured to determine the technical and economic indicators and risk levels as the calculation results for power transmission and transformation projects.

[0120] In this embodiment, by acquiring the saline soil parameters and technical and economic data corresponding to the area to be measured, technical and economic indicators corresponding to the area to be measured are obtained based on the saline soil parameters and technical and economic data. The risk level corresponding to the area to be measured is then determined based on the technical and economic indicators. Finally, the technical and economic indicators and risk level are used as the calculation results for the power transmission and transformation project. Thus, compared to the use of general engineering technical and economic parameters in existing technologies, this solution performs technical and economic calculations using real-time collected saline soil parameters and technical and economic data corresponding to the area to be measured, which is more closely aligned with the actual situation of the area to be measured, thereby improving the accuracy of the technical and economic calculations.

[0121] Combination Figure 3 As shown, this disclosure provides an apparatus for technical and economic calculations in power transmission and transformation projects, including a processor 301 and a memory 302. Optionally, the apparatus may further include a communication interface 303 and a bus 304. The processor 301, communication interface 303, and memory 302 can communicate with each other via the bus 304. The communication interface 303 can be used for information transmission. The processor 301 can call logical instructions in the memory 302 to execute the method for controlling a flexible grounding device described in the above embodiment.

[0122] Furthermore, the logic instructions in the aforementioned memory 302 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium.

[0123] The memory 302, as a storage medium, can be used to store software programs and computer-executable programs, such as program instructions / modules corresponding to the methods in the embodiments of this disclosure. The processor 301 executes functional applications and data processing by running the program instructions / modules stored in the memory 302, that is, it implements the method for controlling the flexible grounding device in the above embodiments.

[0124] The memory 302 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 terminal device. Furthermore, the memory 302 may include high-speed random access memory and may also include non-volatile memory.

[0125] The apparatus for technical and economic calculations in power transmission and transformation projects provided in this disclosure acquires saline soil parameters and corresponding technical and economic data for the area to be calculated. Based on these parameters, it obtains technical and economic indicators for the area and their corresponding risk levels. These indicators and risk levels are then used to determine the calculation results for the power transmission and transformation project. Compared to existing technologies that use general engineering technical and economic parameters, this solution uses real-time collected saline soil parameters and technical and economic data for calculations, which better reflects the actual conditions of the area and improves the accuracy of the technical and economic calculations.

[0126] Please see 4. Figure 4 This is a schematic diagram illustrating a technical calculation device for power transmission and transformation engineering, as shown in an exemplary embodiment of this application. Figure 4 As shown, the equipment for technical and economic calculation of power transmission and transformation projects includes: a cabinet 400 and a device 401 for technical and economic calculation of power transmission and transformation projects; the device 401 for technical and economic calculation of power transmission and transformation projects is placed inside the cabinet.

[0127] It should be noted that the 400 cabinet is a protective cabinet made of 316L stainless steel resistant to salt spray corrosion, with IP65 dustproof and waterproof performance, suitable for the harsh environment of high salt and high humidity in saline soil areas. The cabinet is equipped with a dehumidification module (automatically activated when humidity exceeds 60%) and an anti-corrosion coating. Core components are encapsulated with anti-corrosion materials to prevent salt spray corrosion. The bottom is equipped with adjustable anchor bolts and anti-slip pads for stable placement on soft saline soil, and a hoisting interface is reserved to meet the deployment needs of field engineering sites.

[0128] It should be noted that the device 401 for technical and economic calculation of power transmission and transformation projects includes: a data acquisition module, a technical and economic indicator acquisition module, a risk level acquisition module, and a determination module.

[0129] The data acquisition module includes a saline soil parameter acquisition module and a technical and economic data acquisition module.

[0130] The saline soil parameter acquisition module is installed on the upper part of the cabinet 400, and the technical data acquisition module is placed side by side with the saline soil parameter acquisition module.

[0131] The technical and economic indicators acquisition module, located on the middle layer of cabinet 400, is the core module. It includes a corrosion-resistant industrial processor, a technical and economic calculation algorithm chip specifically for saline-alkali soil, and a parameter correction model library. The processor is designed to adapt to saline-alkali soil environments, enabling stable operation in high-salt-fog conditions. The calculation algorithm chip incorporates a technical and economic calculation model for power transmission and transformation projects in saline-alkali soil areas. The corrosion-resistant industrial processor can calculate technical and economic indicators using the saline-alkali soil-specific technical and economic calculation algorithm chip and the parameter correction model library.

[0132] The risk level acquisition and determination modules are located in the lower layer and front end of the cabinet.

[0133] The risk level acquisition module includes: a risk identification algorithm unit, a graded early warning device, and an optimization scheme generation unit.

[0134] The risk identification algorithm unit calculates the comprehensive risk value, thus quantifying the risk. The graded early warning device provides graded early warnings based on the comprehensive risk value, employing an audible and visual alarm design to issue corresponding early warning signals according to the risk level (level 1-5).

[0135] The optimization scheme generation unit matches specific optimization suggestions for power transmission and transformation projects in saline-alkali land areas, such as the selection of saline-alkali soil solidification agents, cost-effectiveness comparison of foundation treatment processes, and cost optimization of anti-corrosion schemes, thereby generating optimized schemes and providing support for technical and economic decision-making.

[0136] In this embodiment, the device uses a programmable logic controller combined with the Internet of Things (IoT) technology of the power industry to build a control system, realizing automated control of the entire process of data acquisition, calculation, risk identification, and early warning. The control system is integrated into the data processing and calculation module.

[0137] This equipment is equipped with a control interface, which includes options for adjusting the acquisition frequency (12 hours / time, 24 hours / time, weekly update), customizing the saline soil correction coefficient, adjusting correction parameters according to the specific saline soil type of the project, selecting the focus of the calculation indicators, setting risk level thresholds, and allowing customization of the quantitative range of risk levels 1-5. It also includes buttons for equipment start / stop, data calibration, and report generation.

[0138] The control system has functions such as predicting the trend of saline soil parameters, self-diagnosing faults, and encrypted data backup: it predicts the changing trend of saline soil parameters through historical data, such as the impact of increased moisture content due to snowmelt in spring on costs, and issues risk warnings in advance; it monitors the operating status of each acquisition unit and sensor in real time, and immediately issues audible and visual alarms and displays the fault location if problems such as data transmission interruption or sensor failure occur; it automatically encrypts and backs up all acquired data and calculation reports, which comply with the data security standards of the power industry and avoids data loss.

[0139] This disclosure provides a storage medium storing computer-executable instructions configured to perform the above-described method for technical and economic calculations in power transmission and transformation projects.

[0140] The aforementioned storage media can be either transient computer-readable storage media or non-transitory computer-readable storage media. Non-transitory storage media include various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks, and can also be transient storage media.

[0141] The foregoing description and accompanying drawings fully illustrate embodiments of this disclosure to enable those skilled in the art to practice them. Other embodiments may include structural, logical, electrical, procedural, and other changes. The embodiments represent only possible variations. Individual components and functions are optional unless explicitly required, and the order of operation may vary. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. Moreover, the terminology used in this application is for describing embodiments only and is not intended to limit the claims. As used in the description of embodiments and claims, the singular forms “a,” “an,” and “the” are intended to equally include the plural forms unless the context clearly indicates otherwise. Similarly, the term “and / or” as used in this application means including one or more of the associated listed items and all possible combinations thereof. Additionally, when used in this application, the term "comprise" and its variations "comprises" and / or "comprising" refer to the presence of stated features, integrals, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components, and / or groups thereof. Without further limitations, an element defined by the phrase "comprises a..." does not exclude the presence of other identical elements in the process, method, or apparatus that includes said element. In this document, each embodiment may focus on the differences from other embodiments, and similar or identical parts between embodiments can be referred to mutually. For methods, products, etc., disclosed in the embodiments, if they correspond to the method section disclosed in the embodiments, the relevant parts can be referred to the description of the method section.

[0142] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the embodiments of this disclosure. Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0143] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. In some alternative implementations, the functions marked in the blocks may occur in a different order than that shown in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. In the descriptions corresponding to the flowcharts and block diagrams in the accompanying drawings, the operations or steps corresponding to different blocks may also occur in a different order than disclosed in the description, and sometimes there is no specific order between different operations or steps. For example, two consecutive operations or steps may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. Each block in a block diagram and / or flowchart, and combinations of blocks in a block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

Claims

1. A technical and economic calculation method for power transmission and transformation projects, characterized in that, include: Obtain the saline soil parameters and technical and economic data corresponding to the area to be measured; Based on the saline soil parameters and the technical and economic data, obtain the technical and economic indicators corresponding to the area to be measured; The risk level corresponding to the area to be measured is obtained based on the aforementioned technical and economic indicators; The technical and economic indicators and the risk level are determined as the calculation results of the power transmission and transformation project.

2. The method according to claim 1, characterized in that, The process of obtaining the technical and economic indicators corresponding to the area to be measured based on the saline soil parameters and the technical and economic data includes: Based on the saline soil parameters and the technical and economic data, the total investment index, the full life cycle cost index, and the investment payback period index of the power transmission and transformation project are obtained. The internal rate of return (IRR) and cost correction indicators are obtained based on the saline soil parameters. The total investment index of the power transmission and transformation project, the total life cycle cost index, the investment payback period index, the internal rate of return index, and the cost adjustment index are determined as the technical and economic indicators.

3. The method according to claim 2, characterized in that, The cost adjustment indicators include specific cost adjustment indicators for saline soil treatment, equipment lifespan and replacement cost adjustment indicators, operation and maintenance cost adjustment indicators, and unit kilowatt cost adjustment indicators; these cost adjustment indicators are obtained through the following methods: The specific cost correction index for saline soil treatment is obtained based on the saline soil parameters; Based on the saline soil parameters, the equipment lifespan and replacement cost correction index are obtained; The operation and maintenance cost correction index is obtained based on the saline soil parameters; The unit kilowatt cost correction index is obtained based on the specific cost correction index for saline soil treatment and the saline soil parameters.

4. The method according to claim 1, characterized in that, The process of obtaining the risk level corresponding to the area to be measured based on the technical and economic indicators includes: Based on the aforementioned technical and economic indicators, obtain the risk values ​​for cost overruns in saline soil foundation treatment and the risk values ​​for surges in operation and maintenance costs; Based on the saline soil parameters and the technical and economic data, the risk values ​​for construction delays and environmental compliance are obtained. The risk level is obtained based on the risk value of cost overrun for saline soil foundation treatment, the risk value of surge in operation and maintenance costs, the risk value of construction delay, and the risk value of environmental compliance.

5. The method according to claim 4, characterized in that, The process of obtaining the risk values ​​for cost overruns and surges in operation and maintenance costs for saline soil foundation treatment based on the aforementioned technical and economic indicators includes: Based on the saline soil parameters and the technical and economic data, the probability of cost overruns in saline soil foundation treatment and the probability of a surge in operation and maintenance costs are obtained. The losses due to cost overruns in saline soil foundation treatment and the losses due to surges in operation and maintenance costs are obtained based on the aforementioned technical and economic indicators. The product of the probability of cost overrun in the saline soil foundation treatment and the amount of loss due to cost overrun in the saline soil foundation treatment is determined as the cost overrun risk value of the saline soil foundation treatment. The product of the probability of the surge in operation and maintenance costs and the amount of loss caused by the surge in operation and maintenance costs is determined as the risk value of the surge in operation and maintenance costs.

6. The method according to claim 4, characterized in that, The method of obtaining the risk level based on the risk value of cost overrun for saline soil foundation treatment, the risk value of surge in operation and maintenance costs, the risk value of construction delay, and the risk value of environmental compliance includes: The risk values ​​of cost overrun for saline soil foundation treatment, surge in operation and maintenance costs, construction delay, and environmental compliance are weighted to obtain the comprehensive risk value for the area to be measured. The risk level is obtained based on the comprehensive risk value.

7. A device for technical and economic calculations in power transmission and transformation projects, characterized in that, include: The data acquisition module is configured to acquire the saline soil parameters corresponding to the area to be measured and the technical and economic data corresponding to the area to be measured. The technical and economic indicators acquisition module is configured to acquire the technical and economic indicators corresponding to the area to be measured based on the saline soil parameters and the technical and economic data. The risk level acquisition module is configured to acquire the risk level corresponding to the area to be measured based on the technical and economic indicators. The determination module is configured to determine the technical and economic indicators and the risk level as the calculation results of the power transmission and transformation project.

8. A device for technical and economic calculations in power transmission and transformation engineering, comprising a processor and a memory storing program instructions, characterized in that, The processor is configured to, when running the program instructions, execute the method for technical and economic calculations for power transmission and transformation projects as described in any one of claims 1 to 6.

9. A device for technical and economic calculations in power transmission and transformation projects, characterized in that, It includes a cabinet and a device for technical and economic calculation of power transmission and transformation projects as described in claim 7 or 8; the device for technical and economic calculation of power transmission and transformation projects is placed inside the cabinet.

10. A storage medium storing program instructions, characterized in that, When the program instructions are executed, they perform the technical and economic calculation method for power transmission and transformation projects as described in any one of claims 1 to 6.

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