CN111080480A - Feasibility study report compiling method, ERP system and computer storage medium - Google Patents
Feasibility study report compiling method, ERP system and computer storage medium Download PDFInfo
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Abstract
The embodiment of the application discloses a feasibility study report compiling method, an ERP system and a computer storage medium, which are used for compiling the feasibility study report so as to facilitate technical staff to obtain the feasibility study report of a wind power plant. The method in the embodiment of the application comprises the following steps: and the ERP system processes and generates first achievement data, second achievement data and third achievement data according to a preset wind energy professional algorithm, an electric professional algorithm and a civil engineering professional algorithm respectively, and summarizes the achievement data to generate a feasibility study report. In the embodiment of the application, multiple professional algorithms are integrated in one ERP system, so that research results of each professional can be generated on one system, technicians can obtain the research results of multiple professionals on one system without obtaining the research results from multiple parties, the technicians can directly obtain feasibility research reports of the wind power plant through the ERP system, the reports do not need to be manually compiled, and the working time of the technicians can be saved.
Description
Technical Field
The embodiment of the application relates to the field of wind power energy, in particular to a method for compiling a feasibility study report, an ERP system and a computer storage medium.
Background
The establishment of the feasibility research report is an essential key link before the investment decision of the wind power plant project, the feasibility research report carries out accurate and systematic analysis on the aspects of project market, technology, finance, engineering, economy, environment and the like, the calculation, the demonstration and the evaluation of the projects such as wind power plant site selection, material supply, equipment selection, personnel organization, implementation plan, investment and cost, benefit and risk and the like are completed, and a scientific basis is provided for the investment decision of the wind power plant project.
Since the research on the wind farm involves multiple specialties, such as the wind energy specialty, the electrical specialty, and the civil engineering specialty, when a technical staff compiles a feasibility research report on the wind farm, the technical staff needs to synthesize the research results of the multiple specialties, and the research of each speciality is usually performed separately, so that the technical staff needs to acquire the research results of each speciality in multiple ways and then summarize the research results into the research report, which consumes a lot of working time of the technical staff.
Disclosure of Invention
The embodiment of the application provides a feasibility study report compiling method, an ERP system and a computer storage medium, which are used for compiling the feasibility study report so as to facilitate technical staff to obtain the feasibility study report of a wind power plant.
A first aspect of an embodiment of the present application provides a method for compiling a feasibility study report, including:
an Enterprise Resource Planning (ERP) system generates first result data according to a preset wind energy professional algorithm, wherein the first result data is research result data of the wind energy professional;
the ERP system generates second result data according to a preset electric professional algorithm, wherein the second result data are research result data of the electric professional;
the ERP system generates third result data according to a preset civil engineering professional algorithm, wherein the third result data are research result data of the civil engineering professional;
the ERP system generates a feasibility study report containing the first, second, and third outcome data.
Preferably, after the ERP system generates third result data according to a preset civil engineering professional algorithm, the method further includes:
the ERP system generates fourth result data according to a preset algorithm of an economic assessment specialty and by combining one or more of the first result data, the second result data and the third result data, wherein the fourth result data are research result data of the economic assessment specialty;
the ERP system generates a feasibility study report containing the first, second and third outcome data, including:
the ERP system generates a feasibility study report including the first, second, third, and fourth outcome data.
Preferably, the method further comprises:
the ERP system calls the data of the wind energy specialty, the data of the electrical specialty and the data of the civil engineering specialty from a database;
the ERP system generates first result data according to a preset wind energy professional algorithm, and the first result data comprises the following steps:
the ERP system generates first achievement data according to a preset wind energy professional algorithm and the wind energy professional data;
the ERP system generates second result data according to a preset electric professional algorithm, and the second result data comprises the following steps:
the ERP system generates second result data according to a preset electric professional algorithm and the electric professional data;
the ERP system generates third result data according to a preset civil engineering professional algorithm, and the third result data comprises the following steps:
and the ERP system generates third result data according to a preset civil engineering professional algorithm and the civil engineering professional data.
Preferably, the wind energy professional algorithm comprises: one or more of a fan model selection algorithm, a power generation amount algorithm and a fan layout algorithm;
the ERP system generates first result data according to a preset wind energy professional algorithm, and the first result data comprises the following steps:
the ERP system correspondingly generates one or more of fan model selection data, generated energy data and fan layout data according to one or more of a preset fan model selection algorithm, a preset generated energy algorithm and a preset fan layout algorithm.
Preferably, the algorithm of the electrical profession comprises an electrical equipment cost calculation algorithm;
the ERP system generates second result data according to a preset electric professional algorithm, and the second result data comprises the following steps:
and the ERP system generates one or more of the cost of the primary electric equipment, the cost of the secondary electric equipment and the cost of the power collection line according to a preset electric equipment cost calculation algorithm.
Preferably, the algorithms for civil engineering specialities include a construction cost calculation algorithm;
the ERP system generates third result data according to a preset civil engineering professional algorithm, and the third result data comprises the following steps:
the ERP system generates one or more of the building cost of the foundation of the primary electric device, the building cost of the foundation of the secondary electric device, the building cost of the foundation of the current collecting line and the building cost of the road according to a preset building cost calculation algorithm.
Preferably, the economic assessment professional algorithm comprises: one or more of a financial index calculation algorithm and an economic benefit index calculation algorithm;
the ERP system generates fourth result data according to a preset economic assessment professional algorithm and by combining one or more of the first result data, the second result data and the third result data, and the method comprises the following steps:
and the ERP system correspondingly generates one or more of financial index data and economic benefit index data according to one or more of a preset financial index calculation algorithm and an economic benefit index calculation algorithm by combining one or more of the first result data, the second result data and the third result data.
A second aspect of an embodiment of the present application provides an enterprise resource planning, ERP, system, including:
the first generation unit is used for generating first result data according to a preset wind energy professional algorithm, wherein the first result data are research result data of the wind energy professional;
the second generation unit is used for generating second result data according to a preset electric professional algorithm, and the second result data are research result data of the electric professional;
the third generation unit is used for generating third result data according to a preset civil engineering professional algorithm, wherein the third result data are research result data of the civil engineering professional;
a fourth generating unit for generating a feasibility study report containing the first, second and third outcome data.
A third aspect of an embodiment of the present application provides an enterprise resource planning, ERP, system, including:
the system comprises a processor, a memory, a bus and input and output equipment;
the processor is connected with the memory and the input and output equipment;
the bus is respectively connected with the processor, the memory and the input and output equipment;
the processor performs the following operations: generating first achievement data according to a preset wind energy professional algorithm, wherein the first achievement data is research achievement data of the wind energy professional, generating second achievement data according to a preset electrical professional algorithm, the second achievement data is the research achievement data of the electrical professional, generating third achievement data according to a preset civil engineering professional algorithm, the third achievement data is the research achievement data of the civil engineering professional, and generating a feasibility study report containing the first achievement data, the second achievement data and the third achievement data.
A fourth aspect of embodiments of the present application provides a computer storage medium having instructions stored therein, which when executed on a computer, cause the computer to perform the method of the first aspect.
According to the technical scheme, the embodiment of the application has the following advantages:
in the embodiment of the application, the ERP system processes and generates first achievement data, second achievement data and third achievement data according to a preset wind energy professional algorithm, an electric professional algorithm and a civil engineering professional algorithm, and summarizes the achievement data to generate a feasibility study report. In the embodiment of the application, multiple professional algorithms are integrated in one ERP system, so that research results of each professional can be generated on one system, technicians can obtain the research results of multiple professionals on one system without obtaining the research results from multiple parties, the technicians can directly obtain feasibility research reports of the wind power plant through the ERP system, the reports do not need to be manually compiled, and the working time of the technicians can be saved.
Drawings
FIG. 1 is a schematic flow chart of a method for compiling a feasibility study report in an embodiment of the present application;
FIG. 2 is another schematic flow chart of a method for compiling a feasibility study report in an embodiment of the present application;
fig. 3 is a schematic structural diagram of an ERP system in the embodiment of the present application;
fig. 4 is another schematic structural diagram of an ERP system in the embodiment of the present application.
Detailed Description
The embodiment of the application provides a feasibility study report compiling method, an ERP system and a computer storage medium, which are used for compiling the feasibility study report so as to facilitate technical staff to obtain the feasibility study report of a wind power plant.
The following describes a method for compiling a feasibility study report in an embodiment of the present application, with reference to the accompanying drawings:
the feasibility study report is compiled by adopting an Enterprise Resource Planning (ERP) system, wherein the ERP system capable of compiling the feasibility study report in the embodiment of the application can be an open-source ERP system such as an Odoo system, a Compie ERP system or an Openbravo ERP system, and the like, and is obtained through the previous network environment construction and the later secondary development.
In the embodiment of the application, the specialties required by the ERP system to compile the feasibility research report include, but are not limited to, the wind energy specialties, the electrical specialties and the civil engineering specialties, wherein the wind energy specialties refer to the research fields related to wind energy development, such as the layout of wind turbines in a wind farm, the research of wind energy resources and other related technologies; the electrical profession refers to the research field related to the electrical equipment of the wind farm, such as the installation of electrical primary equipment, the laying of current collection lines and other related technologies; the civil engineering profession refers to a research field related to the land construction of a wind farm, and for example, related technologies such as the construction of a foundation of an electrical device and the construction of a wind farm road.
Referring to fig. 1, an embodiment of a method for compiling a feasibility study report in the embodiment of the present application includes:
101. the enterprise resource planning ERP system generates first result data according to a preset wind energy professional algorithm;
in this embodiment, the achievement of the achievement data needs to be based on processing of the raw data. Therefore, the ERP system needs to acquire professional wind energy data and generate first achievement data corresponding to the professional wind energy data according to a professional wind energy algorithm preset on the system by a technician, wherein the first achievement data is professional wind energy research achievement data.
102. The ERP system generates second fruiting data according to a preset electric professional algorithm;
because the wind power plant also relates to the research field of the electrical aspect, the research results of the electrical specialty can be reflected in the feasibility research report. The ERP system acquires the electric professional data required to be utilized for generating the second quality-improving data, and generates the second quality-improving data correspondingly according to an algorithm preset on the system by a technical person, wherein the second quality-improving data are the electric professional research result data.
103. The ERP system generates third result data according to a preset civil engineering professional algorithm;
the feasibility study report of the wind farm may also contain the results of the research of civil engineering specialties. The ERP system acquires data of a civil engineering specialty and generates third result data corresponding to the data of the civil engineering specialty according to a civil engineering specialty algorithm preset on the system by a technical person, wherein the third result data are research result data of the civil engineering specialty.
104. The ERP system generates a feasibility study report containing first, second and third fruiting data;
after the ERP system generates the achievement data of each specialty according to the algorithm of each specialty, the ERP system collects the achievement data of each specialty into a feasibility study report, namely, generates a feasibility study report containing first achievement data, second achievement data and third achievement data.
In this embodiment, the achievement data of each specialty refers to the data of the research achievement to be obtained by each specialty in the research and development process, and obtaining the achievement data is one of the targets of the research and development activities.
In this embodiment, the ERP system processes and generates first achievement data, second achievement data and third achievement data according to a preset wind energy professional algorithm, an electric professional algorithm and a civil engineering professional algorithm, and summarizes the achievement data to generate a feasibility study report. In the embodiment, multiple professional algorithms are integrated in one ERP system, so that research results of each professional can be generated on one system, technicians can obtain the research results of multiple professionals on one system without acquiring the research results from multiple parties, the technicians can directly obtain feasibility research reports of the wind power plant through the ERP system without manually compiling the reports, and the working time of the technicians can be saved.
In addition to the wind energy specialty, the electrical specialty, and the civil engineering specialty, in practical applications, technicians may need to evaluate the economic benefits of wind farms, and in this case, the ERP system may need to reflect the economic evaluation results of wind farms in feasibility research reports. The process of the ERP system compiling a feasibility study report containing economic assessment efforts for the wind farm will be described in detail below. Referring to fig. 2, another embodiment of the method for compiling a feasibility study report in the embodiment of the present application includes:
201. the ERP system calls the wind energy professional data, the electrical professional data and the civil engineering professional data from the database;
when the technician needs to embody the research results of the wind energy specialty, the electrical specialty and the civil engineering specialty in the feasibility research report, the technician can input the data of the wind energy specialty, the data of the electrical specialty and the data of the civil engineering specialty into the database, and the data can be used for generating the result data of each specialty. When the ERP system needs to generate result data of each specialty, the ERP system calls the data of each specialty from the database.
In this embodiment, the ERP system may call the data corresponding to each specialty before generating the achievement data of each specialty, or may call all the professional data before generating the achievement data of all the professions. For example, the ERP system may call the data of the wind energy specialty before generating the result data of the wind energy specialty, call the data of the electrical specialty before generating the result data of the electrical specialty, or call all the data of the specialties at once.
In this embodiment, the data of each specialty required by the ERP system when generating the achievement data of each specialty may also be directly input to the ERP system by a technical person without being called from the database, and then the ERP system obtains the data of each specialty input by the technical person. For example, when a technician needs to present the achievement data of the electrical profession in the feasibility study report, the technician directly inputs the data of the electrical profession and commands the ERP system to perform processing on the input data of the electrical profession according to a preset algorithm. The manner in which the ERP system acquires the data of each specialty is not limited in this embodiment.
Technical personnel input data of each specialty to the database, so that a data acquisition channel is provided for the ERP system, management of data of each specialty is facilitated, and the technical personnel can trace and inquire the data of each specialty more conveniently.
202. The ERP system generates first result data according to a preset wind energy professional algorithm and wind energy professional data;
after the ERP system acquires the professional wind energy data, the acquired professional wind energy data can be processed according to a preset algorithm to obtain first result data.
The ERP system correspondingly generates one or more first achievement data in fan selection data, power generation data and fan layout data according to one or more preset fan selection algorithms, power generation algorithms and fan layout algorithms.
When a technician needs to reflect the fan type selection scheme in the report, the technician can preset a fan type selection algorithm in the ERP system, and at this time, the data of the wind energy speciality acquired by the ERP system should be data in the fan type aspect correspondingly. The ERP system executes processing on the data in the fan type aspect according to the fan type selection algorithm to obtain a fan type selection scheme, namely fan type selection data.
For example, the fan type selection algorithm may be to select a fan meeting the type selection standard according to the type selection standard of the fan blade shape or the number of blades preset by a technician; the data of the wind energy speciality acquired by the ERP system is correspondingly the data of the shape or the number of the blades of the wind turbine.
The fan model selection algorithm can also be used for selecting a fan meeting the standard according to a preset model selection standard of the hub height, and the data of the wind energy speciality acquired by the ERP system are correspondingly data such as the hub height of the fan. The fan type selection algorithm of this embodiment has various forms, as long as the fan type selection algorithm can enable the ERP system to select a fan meeting the requirements of technicians, and the specific form of the fan type selection algorithm is not limited.
When a technician needs to reflect the generated energy of the wind turbine in the report, the technician can preset a generated energy algorithm in the ERP system, and then the ERP system should acquire technical parameters of the wind speed of the wind farm, the rated power of the wind turbine and the like, and perform calculation on the technical parameters of the wind speed of the wind farm, the rated power of the wind turbine and the like according to the generated energy algorithm to obtain generated energy data of the wind turbine.
Technicians can also preset a fan layout algorithm to enable the ERP system to generate a fan layout scheme. The fan layout algorithm may be to arrange the positions of the plurality of fans by comprehensively considering the wake effect and the wake effect loss, the main wind direction of the wind farm or the ground roughness, the terrain condition, and other factors, and the ERP system should acquire the wind speed, the wind direction, the terrain, and other geographic information of the wind farm, and process the acquired geographic information according to the fan layout algorithm to obtain a fan layout scheme, that is, fan layout data.
In this embodiment, the ERP system may further generate corresponding first achievement data according to other wind energy professional algorithms, for example, the ERP system may further generate utilization hour data of the wind farm or the wind turbine according to a preset utilization hour algorithm. The algorithm of the wind energy profession and the corresponding first achievement data thereof can be various, as long as the ERP system can correspondingly generate the first achievement data according to the algorithm of the wind energy profession, and the specific algorithm of the wind energy profession and the type of the corresponding first achievement data thereof are not limited.
203. The ERP system generates second result data according to a preset electric professional algorithm and electric professional data;
after the ERP system acquires the electric professional data, the acquired electric professional data can be processed according to a preset algorithm to obtain second result data.
The electric professional algorithm may be an electric equipment cost calculation algorithm, and the electric professional data acquired by the ERP system should be data such as installation and maintenance cost and equipment cost of the electric primary equipment, installation and maintenance cost and equipment cost of the electric secondary equipment, or laying cost and operation and maintenance cost of a current collection line, correspondingly. And the ERP system executes processing on the data acquired by the ERP system according to the electric equipment cost calculation algorithm, and the acquired second result data are respectively the cost data of various electric equipment.
In addition, the electrical professional algorithm may be a current collection line design algorithm, and the ERP system should acquire geographic information of the wind farm such as the terrain and technical parameters of the iron tower such as stress or loop, cable laying and the like, and process the acquired geographic information and technical parameters according to the current collection line design algorithm to obtain a design scheme of the current collection line. In this embodiment, the electric professional algorithm and the second result data corresponding to the electric professional algorithm may be various, as long as the ERP system can generate the second result data according to the electric professional algorithm, and the specific electric professional algorithm and the type of the second result data corresponding to the electric professional algorithm are not limited.
204. The ERP system generates third result data according to a preset civil engineering professional algorithm and the electric professional data;
after the ERP system acquires the data of the civil engineering specialty, the acquired data of the civil engineering specialty can be processed according to a preset algorithm, and third result data is obtained.
The algorithm of the civil engineering specialty can be a building cost calculation algorithm, and the data of the civil engineering specialty acquired by the ERP system should be data of the usage amount of building materials, the price of materials and the like of the foundation of the primary electric equipment, the foundation of the secondary electric equipment, the foundation of the current collecting line or the wind power plant road. And the ERP system executes processing on the data acquired by the ERP system according to a civil equipment cost calculation algorithm, and the acquired third result data are the respective construction costs of the foundation of the primary electric equipment, the foundation of the secondary electric equipment, the foundation of a current collection line or the road of the wind power plant.
In addition, the algorithm of the civil engineering specialty can be a road design algorithm, the ERP system should acquire geographic information of the terrain of the wind farm and the like and geographic distribution of electrical equipment and other facilities of the wind farm, and process the acquired geographic information of the terrain of the wind farm and the like and the geographic distribution of the electrical equipment and other facilities of the wind farm according to the road design algorithm, that is, the terrain of the wind farm and the geographic position distribution of the electrical equipment and other facilities are comprehensively considered during road design, so that a design scheme of the wind farm road is obtained. In this embodiment, there may be a plurality of algorithms for the civil engineering specialty and third result data corresponding thereto, as long as the ERP system can generate the third result data according to the algorithms for the civil engineering specialty, and the specific algorithms for the civil engineering specialty and the types of the third result data corresponding thereto are not limited.
205. The ERP system generates fourth fruit data according to a preset economic assessment professional algorithm and in combination with one or more of the first fruit data, the second fruit data and the third fruit data;
when a technician needs to reflect the economic benefit of the wind power plant in the feasibility study report, the ERP system can generate fourth result data according to an economic assessment professional algorithm preset by the technician and by combining one or more of the first result data, the second result data and the third result data, wherein the fourth result data is research result data of the economic assessment professional and can be used for measuring the economic benefit of the wind power plant.
In this embodiment, the economic evaluation professional algorithm may be one or more of a financial index calculation algorithm and an economic benefit index calculation algorithm, and the ERP system generates one or more fourth result data of the financial index data and the economic benefit index data according to one or more of a preset financial index calculation algorithm and an economic benefit index calculation algorithm.
The ERP system obtains the fan equipment cost included by the first achievement data, the electric equipment cost included by the second achievement data, the civil engineering cost included by the third achievement data and other expense data, and calculates the obtained expense data according to the expense calculation algorithm to obtain the expense of the wind power plant.
The economic benefit index calculation algorithm can be a calculation algorithm of a profitability index, the ERP system obtains the generated energy data of the fan, the electricity price and other data included in the first result data, and calculates the obtained first result data according to the calculation algorithm of the profitability index to obtain a numerical value of the profitability index of the wind power plant.
In addition, the algorithm of the economic evaluation specialty can be a calculation algorithm of the power consumption cost, the ERP system should acquire the generated energy of the wind turbine included in the first result data, the electric equipment manufacturing cost included in the second result data, the civil engineering cost included in the third result data, and other expenses, and calculate and process the data acquired by the ERP system according to the calculation algorithm of the power consumption cost to obtain the power consumption cost of the wind farm. In this embodiment, there may be a plurality of algorithms for the economic assessment specialty and fourth result data corresponding thereto, as long as the ERP system can generate the fourth result data according to the algorithms for the economic assessment specialty, and the specific algorithms for the economic assessment specialty and the type of the fourth result data corresponding thereto are not limited.
206. The ERP system generates a feasibility study report containing first, second, third and fourth fruiting data;
after the ERP system generates the achievement data of each specialty according to the algorithm of each specialty, the ERP system collects the achievement data of each specialty into a feasibility study report, namely, generates a feasibility study report containing first achievement data, second achievement data, third achievement data and fourth achievement data.
In this embodiment, the feasibility study report is included in the research results of the economic assessment specialty, that is, the report also shows the fourth result data of the economic assessment specialty, so that the method is beneficial for technical personnel to analyze the economic benefit of the wind farm project.
In the embodiment of the application, in addition to the respective achievement data of the wind energy specialty, the electrical specialty, the civil engineering specialty and the economic evaluation specialty in the feasibility study report, the respective achievement data of the wind energy specialty, the electrical specialty, the civil engineering specialty and the economic evaluation specialty can be embodied in the feasibility study report by combining with actual requirements, and the research achievements of other specialties, such as the research fields of the environmental protection specialty, the risk management specialty and the like, can be embodied in the feasibility study report, and the types of the specialties related in the feasibility study report are not limited as long as the ERP system can process the raw data of the.
In the above description of the compiling method of the feasibility study report in the embodiment of the present application, an enterprise resource planning, ERP, system in the embodiment of the present application is described below, referring to fig. 3, where an embodiment of the ERP system in the embodiment of the present application includes:
the first generating unit 301 is configured to generate first result data according to a preset wind energy professional algorithm, where the first result data is research result data of the wind energy professional;
the second generating unit 302 is configured to generate second result data according to a preset electrical professional algorithm, where the second result data is research result data of an electrical professional;
a third generating unit 303, configured to generate third result data according to a preset civil engineering specialty algorithm, where the third result data is research result data of the civil engineering specialty;
a fourth generating unit 304 for generating a feasibility study report containing the first, second and third achievement data.
In this embodiment, operations performed by each unit in the ERP system are similar to those described in the embodiment shown in fig. 1, and are not described again here.
In the embodiment, multiple professional algorithms are integrated in one ERP system, so that research results of each professional can be generated on one system, technicians can obtain the research results of multiple professionals on one system without acquiring the research results from multiple parties, the technicians can directly obtain feasibility research reports of the wind power plant through the ERP system without manually compiling the reports, and the working time of the technicians can be saved.
The ERP system of this embodiment further includes:
a fifth generating unit 305, configured to generate fourth result data according to a preset algorithm of the economic assessment specialty and by combining one or more of the first result data, the second result data, and the third result data, where the fourth result data is research result data of the economic assessment specialty;
the fourth generating unit 304 is specifically configured to generate a feasibility study report including the first, second, third and fourth achievement data.
The ERP system of this embodiment further includes:
the calling unit 306 is used for calling the wind energy professional data, the electrical professional data and the civil engineering professional data from the database;
the first generating unit 301 is specifically configured to:
generating first result data according to a preset wind energy professional algorithm and wind energy professional data;
the second generating unit 302 is specifically configured to:
generating second result data according to a preset electrical professional algorithm and the electrical professional data;
the third generating unit 303 is specifically configured to:
and generating third result data according to a preset civil engineering professional algorithm and the civil engineering professional data.
The wind energy professional algorithm of the present embodiment includes: one or more of a fan model selection algorithm, a power generation amount algorithm and a fan layout algorithm;
the first generating unit 301 is specifically configured to:
and correspondingly generating one or more of fan model selection data, generated energy data and fan layout data according to one or more of a preset fan model selection algorithm, a preset generated energy algorithm and a preset fan layout algorithm.
The algorithm of the electrical specialty of the embodiment comprises an electrical equipment cost calculation algorithm;
the second generating unit 302 is specifically configured to:
and generating one or more of the manufacturing cost of the primary electric equipment, the manufacturing cost of the secondary electric equipment and the manufacturing cost of the power collection line according to a preset electric equipment manufacturing cost calculation algorithm.
The civil engineering professional algorithm of the embodiment comprises a building cost calculation algorithm;
the third generating unit 303 is specifically configured to:
and generating one or more of the construction cost of the foundation of the electrical primary equipment, the construction cost of the foundation of the electrical secondary equipment, the construction cost of the foundation of the current collecting line and the construction cost of the road according to a preset construction cost calculation algorithm.
The algorithm of the economic assessment professional of the embodiment comprises the following steps: one or more of a financial index calculation algorithm and an economic benefit index calculation algorithm;
the fifth generating unit 305 is specifically configured to:
and according to one or more preset financial index calculation algorithms and economic benefit index calculation algorithms, combining one or more of the first result data, the second result data and the third result data to correspondingly generate one or more of the financial index data and the economic benefit index data.
In addition to wind energy, electrical and civil engineering, in practical applications, technicians may need to evaluate the economic benefits of wind farms, and at this time, the ERP system may also need to reflect the economic evaluation results of wind farms in feasibility research reports. In the process of compiling the feasibility study report including the economic assessment result of the wind farm by the ERP system, the operation performed by each specific unit is similar to that described in the embodiment shown in fig. 2, and details are not repeated here.
In this embodiment, the feasibility study report also incorporates the research results of the economic assessment specialty, that is, the report also includes the fourth result data of the economic assessment specialty, so that the method is beneficial for technical personnel to analyze the economic benefit of the wind farm project.
Referring to fig. 4, an embodiment of the ERP system in the embodiment of the present application is described below, where:
the ERP system 400 may include one or more Central Processing Units (CPUs) 401 and a memory 405, where the memory 405 stores one or more applications or data.
The ERP system 400 may also include one or more power supplies 402, one or more wired or wireless network interfaces 403, one or more input-output interfaces 404, and/or one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.
The central processing unit 401 may perform the operations performed by the ERP system in the embodiments shown in fig. 1 to fig. 2, which are not described herein again.
An embodiment of the present application further provides a computer storage medium, where one embodiment includes: the computer storage medium has stored therein instructions that, when executed on a computer, cause the computer to perform the operations performed by the ERP system in the embodiments of fig. 1 to 2.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other media capable of storing program codes.
Claims (10)
1. A method for compiling a feasibility study report, comprising:
an Enterprise Resource Planning (ERP) system generates first result data according to a preset wind energy professional algorithm, wherein the first result data is research result data of the wind energy professional;
the ERP system generates second result data according to a preset electric professional algorithm, wherein the second result data are research result data of the electric professional;
the ERP system generates third result data according to a preset civil engineering professional algorithm, wherein the third result data are research result data of the civil engineering professional;
the ERP system generates a feasibility study report containing the first, second, and third outcome data.
2. The method for compiling a feasibility study report of claim 1, wherein after the ERP system generates the third result data according to a preset civil engineering professional algorithm, the method further comprises:
the ERP system generates fourth result data according to a preset algorithm of an economic assessment specialty and by combining one or more of the first result data, the second result data and the third result data, wherein the fourth result data are research result data of the economic assessment specialty;
the ERP system generates a feasibility study report containing the first, second and third outcome data, including:
the ERP system generates a feasibility study report including the first, second, third, and fourth outcome data.
3. The method of compiling a feasibility study report of claim 1 wherein the method further comprises:
the ERP system calls the data of the wind energy specialty, the data of the electrical specialty and the data of the civil engineering specialty from a database;
the ERP system generates first result data according to a preset wind energy professional algorithm, and the first result data comprises the following steps:
the ERP system generates first achievement data according to a preset wind energy professional algorithm and the wind energy professional data;
the ERP system generates second result data according to a preset electric professional algorithm, and the second result data comprises the following steps:
the ERP system generates second result data according to a preset electric professional algorithm and the electric professional data;
the ERP system generates third result data according to a preset civil engineering professional algorithm, and the third result data comprises the following steps:
and the ERP system generates third result data according to a preset civil engineering professional algorithm and the civil engineering professional data.
4. The feasibility study report compilation method of claim 1, wherein said wind energy professional algorithm comprises: one or more of a fan model selection algorithm, a power generation amount algorithm and a fan layout algorithm;
the ERP system generates first result data according to a preset wind energy professional algorithm, and the first result data comprises the following steps:
the ERP system correspondingly generates one or more of fan model selection data, generated energy data and fan layout data according to one or more of a preset fan model selection algorithm, a preset generated energy algorithm and a preset fan layout algorithm.
5. The feasibility study report compilation method of claim 1 wherein said electrical specialty algorithm comprises an electrical equipment cost calculation algorithm;
the ERP system generates second result data according to a preset electric professional algorithm, and the second result data comprises the following steps:
and the ERP system generates one or more of the cost of the primary electric equipment, the cost of the secondary electric equipment and the cost of the power collection line according to a preset electric equipment cost calculation algorithm.
6. The feasibility study report compilation method of claim 1 wherein said civil engineering specialty algorithms comprise construction cost calculation algorithms;
the ERP system generates third result data according to a preset civil engineering professional algorithm, and the third result data comprises the following steps:
the ERP system generates one or more of the building cost of the foundation of the primary electric device, the building cost of the foundation of the secondary electric device, the building cost of the foundation of the current collecting line and the building cost of the road according to a preset building cost calculation algorithm.
7. The method of compiling a feasibility study report of claim 2 wherein the algorithm of the economic assessment professional comprises: one or more of a financial index calculation algorithm and an economic benefit index calculation algorithm;
the ERP system generates fourth result data according to a preset economic assessment professional algorithm and by combining one or more of the first result data, the second result data and the third result data, and the method comprises the following steps:
and the ERP system correspondingly generates one or more of financial index data and economic benefit index data according to one or more of a preset financial index calculation algorithm and an economic benefit index calculation algorithm by combining one or more of the first result data, the second result data and the third result data.
8. An enterprise resource planning, ERP, system comprising:
the first generation unit is used for generating first result data according to a preset wind energy professional algorithm, wherein the first result data are research result data of the wind energy professional;
the second generation unit is used for generating second result data according to a preset electric professional algorithm, and the second result data are research result data of the electric professional;
the third generation unit is used for generating third result data according to a preset civil engineering professional algorithm, wherein the third result data are research result data of the civil engineering professional;
a fourth generating unit for generating a feasibility study report containing the first, second and third outcome data.
9. An enterprise resource planning, ERP, system comprising:
the system comprises a processor, a memory, a bus and input and output equipment;
the processor is connected with the memory and the input and output equipment;
the bus is respectively connected with the processor, the memory and the input and output equipment;
the processor performs the following operations: generating first achievement data according to a preset wind energy professional algorithm, wherein the first achievement data is research achievement data of the wind energy professional, generating second achievement data according to a preset electrical professional algorithm, the second achievement data is the research achievement data of the electrical professional, generating third achievement data according to a preset civil engineering professional algorithm, the third achievement data is the research achievement data of the civil engineering professional, and generating a feasibility study report containing the first achievement data, the second achievement data and the third achievement data.
10. A computer storage medium having stored therein instructions that, when executed on a computer, cause the computer to perform the method of any one of claims 1 to 7.
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