CN116739642A - Engineering cost analysis method, system and storage medium - Google Patents
Engineering cost analysis method, system and storage medium Download PDFInfo
- Publication number
- CN116739642A CN116739642A CN202310759231.XA CN202310759231A CN116739642A CN 116739642 A CN116739642 A CN 116739642A CN 202310759231 A CN202310759231 A CN 202310759231A CN 116739642 A CN116739642 A CN 116739642A
- Authority
- CN
- China
- Prior art keywords
- storage
- supply
- construction
- various
- building material
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000003860 storage Methods 0.000 title claims abstract description 267
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000007728 cost analysis Methods 0.000 title claims abstract description 29
- 238000010276 construction Methods 0.000 claims abstract description 69
- 239000004566 building material Substances 0.000 claims description 230
- 239000004035 construction material Substances 0.000 claims description 153
- 238000012544 monitoring process Methods 0.000 claims description 93
- 239000002699 waste material Substances 0.000 claims description 35
- 238000005286 illumination Methods 0.000 claims description 14
- 239000000463 material Substances 0.000 claims description 13
- 239000006185 dispersion Substances 0.000 claims description 10
- 238000011156 evaluation Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 6
- 238000012216 screening Methods 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 239000010426 asphalt Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000004568 cement Substances 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000009826 distribution Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 230000000630 rising effect Effects 0.000 description 1
- 239000004576 sand Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0605—Supply or demand aggregation
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application belongs to the technical field of construction cost analysis, and particularly discloses a construction cost analysis method, a system and a storage medium.
Description
Technical Field
The application belongs to the technical field of engineering cost analysis, in particular to a high-speed engineering cost analysis technology, and particularly relates to an engineering cost analysis method, an engineering cost analysis system and a storage medium.
Background
The expressway greatly improves social logistics efficiency while relieving traffic pressure by using safe driving environment and rapid driving speed, and becomes an important component of the current transportation industry. Because of the huge cost of highway construction, it is especially necessary to accurately analyze the construction cost before construction in order to ensure that the highway construction funds are raised to meet the construction requirement maximally.
It is known that the construction scale of the expressway is large, so that the use amount of construction materials is large, and the construction material cost occupies a large area in the construction cost of the expressway, so that the construction cost of the expressway is an important consideration object of the construction cost of the expressway.
Factors affecting the construction cost of the highway construction material are mainly determined by the purchase amount and purchase price of the construction material, however, the prior art has the following defects in analyzing the construction cost of the highway engineering construction material by the purchase amount and purchase price of the construction material: 1. the construction waste rate of the construction materials in the storage process is ignored when the purchase amount of the construction materials of the expressway is determined, the construction period of the expressway is long, and the construction is performed in an outdoor environment, so that the storage of the construction materials is long-term and high-demand operation, meanwhile, the construction materials of the expressway such as cement, sand and asphalt have high requirements on the storage environment, the condition that the storage environment is unsuitable easily exists, the construction materials are waste when the serious unsuitable storage environment occurs, the construction materials cannot be normally used, and the construction requirements of the construction materials which can be actually used cannot be met, so that the construction use amount of the construction materials is simply taken as the purchase amount to be obviously unreasonable, and the accuracy of determining the purchase amount of the construction materials of the expressway is affected.
2. Because the construction scale of the expressway is large, the demand of the construction materials is larger than that of other construction projects, in this case, few construction material suppliers can supply a huge amount of construction materials at one time, so the purchase and supply of the expressway construction materials are generally realized by intensively purchasing and supplying the construction materials in batches, but the commodity price of the expressway construction materials is not fixed as a large commodity, but is limited by the market environment, and the price of the construction materials in different supply batches is different, so that the overflow price occurs. However, the existing technology does not take the overflow price generated in the process of supplying the construction material into consideration when determining the purchase price of the construction material of the expressway, and lacks flexibility, so that the determination of the purchase price of the construction material has applicable limitation, and is separated from reality, thereby reducing the accuracy of the determination of the purchase price of the construction material.
Disclosure of Invention
Therefore, an object of the embodiments of the present application is to provide a construction cost analysis method, system and storage medium, which can effectively improve accuracy of construction cost of highway construction materials by reasonably and flexibly determining purchase quantity and purchase price of construction materials of highway construction.
The aim of the application can be achieved by the following technical scheme: a first aspect of the present application provides an engineering cost analysis method, comprising the steps of: (1) An environment monitoring terminal is arranged in a building material storage room of a specified expressway and is used for monitoring storage environment indexes in the building material storage room.
(2) And evaluating the suitability of the storage environment corresponding to various building materials according to the storage environment index in the building material storage room.
(3) And predicting the storage waste rate corresponding to the various building materials based on the storage environment suitability corresponding to the various building materials.
(4) And obtaining construction use amounts corresponding to various construction materials corresponding to the specified expressway by obtaining construction scale matching corresponding to the specified expressway, and counting purchase amounts corresponding to the various construction materials by combining the construction use amounts corresponding to the various construction materials with storage waste rates corresponding to the various construction materials.
(5) And preparing a specified expressway construction material purchasing and supplying plan according to the purchasing amount corresponding to various construction materials, and extracting batch supply parameters corresponding to various construction materials from the purchasing and supplying plan, wherein the batch supply parameters comprise the supply time and the supply amount corresponding to each supply.
(6) And extracting the corresponding supply time of each building material in each supply from the batch supply parameters, and further determining the target monitoring time of each building material in each supply according to the supply time.
(7) The current years are taken as a boundary to define a plurality of historical monitoring years, and then the purchasing unit price of various building materials in each supply is predicted by extracting the unit price of the target monitoring time of the various building materials in each supply corresponding to each historical monitoring year.
(8) And constructing a construction material cost budget model, and further guiding the purchase unit price and supply quantity of various construction materials in each supply into the construction material cost budget model to obtain the construction material cost corresponding to the specified expressway.
According to one implementation manner of the first aspect of the present application, the storage environment index includes a storage temperature, a storage humidity and a storage illumination intensity.
According to one possible implementation manner of the first aspect of the present application, the operation procedure of monitoring the storage environment index in the building material storage chamber is as follows: (11) And arranging a plurality of collecting points in the building material storage room space.
(12) And setting an environment monitoring terminal at each acquisition point, and acquiring storage environment indexes of each acquisition point by the environment monitoring terminal.
(13) And extracting the outline of the building material storage area according to the building material storage area arranged in the building material storage room, and taking the central point of the outline of the building material storage area as a storage representative point.
(14) Obtaining the distance between each acquisition point and the storage representative point, and substituting the distance between each acquisition point and the storage representative point and the storage environment index of each acquisition point into the formulaCalculating the storage environment index in the building material storage roomW d Wherein d is represented as storage environment index, d is ST or SH or SY, ST, SH and SY are respectively represented as storage temperature, storage humidity and storage illumination intensity, and w d i denotes a storage environment index of an i-th collection point in the building material storage chamber, i denotes a collection point number, i=1, 2,..n, n denotes the number of collection points laid out in the building material storage chamber space, l i Expressed as the distance between the ith acquisition point and the storage representative point, l 0 Expressed as a reference distance, e is expressed as a natural constant.
According to one possible manner of the first aspect of the present application, the evaluation of the suitability of the respective building materials for storage environment is performed by the following steps: (21) And extracting normal storage environment indexes corresponding to various building materials from the building material information base.
(22) Comparing the storage environment index in the building material storage room with the normal storage environment index corresponding to various building materials, and utilizing an evaluation formula
Evaluating storage environment suitability ψ corresponding to various building materials j Wherein ST is j 、SH j 、SY j Respectively expressed as normal storage temperature, normal storage humidity and normal storage illumination intensity corresponding to the j-th building material, j expressed as building material type number, j=1, 2, …, m, ST, SH and SY respectively expressed as storage temperature, storage humidity, storage illumination intensity and lambda in the building material storage chamber ST j、λ SH j、λ SY j is respectively expressed as the weight factors of the corresponding storage temperature, storage humidity and storage illumination intensity of the set j-th building material.
According to one implementation manner of the first aspect of the present application, the predicting the corresponding storage waste rate of the various building materials includes the following steps: (31) And comparing the storage environment suitability corresponding to various building materials with the storage environment suitability interval corresponding to various storage environment suitability grades stored in the building material information base, and screening the storage environment suitability grades corresponding to various building materials.
(32) And matching the storage environment suitable grade corresponding to the various building materials with the storage waste rate corresponding to the storage environment suitable grade stored in the building material information base, and matching the storage waste rate corresponding to the various building materials.
According to one implementation manner of the first aspect of the present application, the purchase amount statistical formula corresponding to the various building materials is thatWherein q is j 、/>The construction usage amount and the storage waste rate corresponding to the j-th building material are respectively expressed, j is expressed as the type number of the building material, and j=1, 2, … and m.
According to one possible manner of the first aspect of the application, the predicting the procurement unit price of the various building materials at each supply is carried out by the following steps: (71) And comparing the unit prices of the various building materials in the target monitoring time of each supply corresponding to each historical monitoring period, and obtaining the historical maximum price, the historical minimum price and the historical average price of the various building materials in each supply.
(72) Substituting the historical maximum price, the historical minimum price and the historical average price of each building material at each supply into the formulaThe historical price dispersion of the various build materials at each supply is calculated.
(73) The effective unit price of each build material present in each supply for the target monitoring time is identified based on the historical price dispersion of each build material in each supply.
(74) Marking a plurality of points in a two-dimensional coordinate for the effective unit price of each building material in each supply corresponding to the target monitoring time by taking the historical monitoring period as an abscissa and the effective unit price as an ordinate to obtain each building material in each supplyCalculating the slope k of an effective monovalent change curve corresponding to the target monitoring time j f And utilize the formulaObtaining price trend representation value xi of various building materials in each supply j f Where f is denoted as each supply number, f=1, 2, …, x.
(75) Calculating the average value of each effective unit price of each building material in each corresponding target monitoring time to obtain the historical average effective unit price of each building material in each corresponding target monitoring timeAnd utilize the formula +.>Calculating the historical average effective monovalent convergence of various building materials in each supply +.> Denoted as the i-th effective unit price of the j-th build material present in the f-th supply corresponding target monitoring time, i denoted as the effective unit price number, i=1, 2.
(76) And respectively taking each effective unit price of each building material in each supply corresponding to the target monitoring time as a target reference, comparing other effective unit prices with the target effective unit price, and calculating the convergence degree of each building material in each supply corresponding to each effective unit price in a historical average effective unit price convergence degree calculation mode.
(77) Comparing the historical average effective unit price convergence of various building materials at each supply with the convergence of each effective unit price, and selecting the unit price corresponding to the maximum convergence as the basic price of various building materials at each supplyGrid, noted as
(78) The corresponding basic price and price trend representation value of each supply of various building materials are combined to pass through a predictive formulaObtaining purchase unit price R of various building materials in each supply j f 。
According to one possible implementation of the first aspect of the present application, the build material cost budget model isWherein y is j f Expressed as the supply of the jth build material at the f-th supply.
A second aspect of the present application proposes an engineering cost analysis system comprising the following modules:
and the building material storage environment index monitoring module is used for arranging an environment monitoring terminal in the building material storage room of the specified expressway and monitoring the storage environment index in the building material storage room.
And the storage environment suitability evaluation module is used for evaluating the storage environment suitability corresponding to various building materials according to the storage environment indexes in the building material storage room.
The building material information base is used for storing normal storage environment indexes corresponding to various building materials and storing storage environment suitability intervals and storage waste rates corresponding to various storage environment suitability grades.
The construction material purchase quantity statistics module is used for obtaining construction use quantities corresponding to various construction materials corresponding to the specified expressway through construction scale matching corresponding to the specified expressway, predicting storage waste rates corresponding to the various construction materials based on storage environment suitability corresponding to the various construction materials, and further counting purchase quantities corresponding to the various construction materials according to the construction use quantities corresponding to the various construction materials and the storage waste rates.
And the construction material batch supply purchase unit price prediction module is used for making a specified expressway construction material purchase supply plan according to the purchase quantity corresponding to various construction materials and predicting the purchase unit price of various construction materials in each supply according to batch supply parameters in the purchase supply plan.
And the construction material cost budget module is used for constructing a construction material cost budget model, and further guiding purchase unit price and supply quantity of various construction materials supplied each time into the construction material cost budget model to obtain construction material cost corresponding to the specified expressway.
A third aspect of the present application proposes a construction cost analysis storage medium storing one or more programs executable by one or more processors to implement the construction cost analysis method of the present application.
By combining all the technical schemes, the application has the advantages and positive effects that:
1. according to the application, the influence of the storage waste rate of the construction materials on the purchasing amount is fully considered when the purchasing amount of the construction materials of the expressway is determined, so that the storage waste rate of the construction materials is predicted by monitoring the storage environment of the construction materials of the expressway, the purchasing amount of the construction materials of the expressway is comprehensively determined by combining the construction use amount corresponding to the construction materials, the unreasonable manner of the conventional purchasing amount determination of the construction materials is greatly avoided, the rationality and accuracy of the purchasing amount determination of the construction materials of the expressway are improved to a certain extent, and the reliable basis in the aspect of the purchasing amount of the construction materials is provided for the subsequent analysis of the manufacturing cost of the construction materials of the expressway.
2. According to the application, when the purchasing unit price of the construction material of the expressway is determined, the purchasing unit price of the construction material is predicted in each supply by taking the time of each supply of the construction material as the determination time, so that the consideration of the overflow price generated in the construction material supply process is fully reflected, the batch pertinence and flexibility determination of the purchasing unit price of the construction material of the expressway are realized, the applicable limitation of the existing purchasing unit price determination mode of the construction material is broken, the determination mode provided by the application is more practical, the accuracy of determining the purchasing unit price of the construction material is improved, and the reliable basis in the aspect of purchasing unit price of the construction material is provided for the subsequent analysis of the construction material of the expressway.
3. The application predicts the purchasing unit price of each building material in each supply by combining the basic price and the historical price trend of each building material in each supply, and can improve the accuracy of the prediction result.
Drawings
The application will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the application, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the steps of the method of the present application.
Fig. 2 is a schematic diagram of system module connection according to the present application.
FIG. 3 is a schematic representation of the effective unit price change curve of a build material in accordance with the present application.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Example 1
Referring to fig. 1, the application provides a construction cost analysis method, which comprises the following steps: (1) An environment monitoring terminal is arranged in a building material storage room of a specified expressway and used for monitoring storage environment indexes in the building material storage room, wherein the storage environment indexes comprise storage temperature, storage humidity and storage illumination intensity.
As a specific embodiment, the environment monitoring terminal is composed of a temperature sensor, a humidity sensor, and an illuminance sensor.
In a preferred embodiment of the present application, the process of monitoring storage environment indicators within a build material storage chamber is as follows: (11) And arranging a plurality of collecting points in the building material storage room space.
As an example, the distribution of the collection points may divide the building material storage room in a space gridding manner, so as to obtain a plurality of sub-areas, and further, the collection points are distributed in each sub-area.
According to the application, the plurality of acquisition points are distributed in the building material storage indoor space, the storage environment indexes of the acquisition points are acquired, a large amount of data can be provided for acquiring the storage environment indexes in the building material storage indoor space, and compared with the method that only a single acquisition point is arranged in the building material storage indoor space, the single storage environment index data is obtained, and the monitoring mode can avoid the occurrence of monitoring errors to the greatest extent, so that the method is beneficial to improving the reality and accuracy of the monitoring result.
(12) And setting an environment monitoring terminal at each acquisition point, and acquiring storage environment indexes of each acquisition point by the environment monitoring terminal.
(13) And extracting the outline of the building material storage area according to the building material storage area arranged in the building material storage room, and taking the central point of the outline of the building material storage area as a storage representative point.
(14) Obtaining the distance between each acquisition point and the storage representative point, and substituting the distance between each acquisition point and the storage representative point and the storage environment index of each acquisition point into the formulaCalculating the storage environment index W in the building material storage room d Wherein d is represented as storage environment index, d is ST or SH or SY, ST, SH and SY are respectively represented as storage temperature, storage humidity and storage illumination intensity, and w d i denotes a storage environment index of an i-th collection point in the building material storage chamber, i denotes a collection point number, i=1, 2,..n, n denotes the number of collection points laid out in the building material storage chamber space, l i Expressed as the distance between the ith acquisition point and the storage representative point, l 0 Expressed as a reference distance, e is expressed as a natural constant.
The closer the distance between each collecting point and the storage representative point in the above formula is, the larger the storage environment index collected by the collecting point plays a role in analyzing the storage environment index in the storage room of the building material, and the larger the use value is.
(2) According to the storage environment index in the storage room of the building materials, the storage environment suitability corresponding to various building materials is evaluated, and the following steps are specifically seen: (21) And extracting normal storage environment indexes corresponding to various building materials from the building material information base.
(22) Comparing the storage environment index in the building material storage room with the normal storage environment index corresponding to various building materials, and utilizing an evaluation formula
Evaluating storage environment suitability ψ corresponding to various building materials j Wherein ST is j 、SH j 、SY j Respectively expressed as normal storage temperature, normal storage humidity and normal storage illumination intensity corresponding to the j-th building material, j expressed as a building material type number, j=1, 2 ST j、λ SH j、λ SY j is respectively expressed as a weight factor of the corresponding storage temperature, storage humidity and storage illumination intensity of the j-th building material, wherein the closer the storage environment index in the building material storage chamber is to the normal storage environment index corresponding to a certain building material, the higher the storage environment suitability corresponding to the building material is, which indicates that the storage environment in the building material storage chamber is more suitable for the storage of the building material.
(3) And predicting the storage waste rate corresponding to various building materials based on the storage environment suitability corresponding to various building materials, wherein the specific prediction mode is as follows: (31) And comparing the storage environment suitability corresponding to various building materials with the storage environment suitability interval corresponding to various storage environment suitability grades stored in the building material information base, and screening the storage environment suitability grades corresponding to various building materials.
(32) And matching the storage environment suitable grade corresponding to the various building materials with the storage waste rate corresponding to the storage environment suitable grade stored in the building material information base, and matching the storage waste rate corresponding to the various building materials.
It should be noted that, the storage environment suitability level corresponding to the building material is inversely proportional to the storage waste rate, and the higher the storage environment suitability level, the lower the storage waste rate is, and the storage waste rate is between 0 and 1.
(4) And obtaining construction use amounts corresponding to various construction materials corresponding to the specified expressway by obtaining construction scale matching corresponding to the specified expressway, and counting purchase amounts corresponding to the various construction materials by combining the construction use amounts corresponding to the various construction materials with storage waste rates corresponding to the various construction materials.
On the basis of the preferable scheme, the construction scale corresponding to the specified expressway comprises a construction length, a construction width and a foundation height, and in the process of obtaining the construction usage amount corresponding to various construction materials corresponding to the specified expressway based on the construction scale matching corresponding to the specified expressway, the expressway with the same construction scale as the specified expressway is screened out from the history construction library of the expressway as a history reference expressway, and the construction material amount actually required by the history reference expressway is extracted as the construction usage amount corresponding to various construction materials corresponding to the specified expressway.
Further, the statistical formula of the purchase quantity corresponding to various building materials is as followsWherein q is j 、/>The construction usage amount and the storage waste rate corresponding to the j-th building material are respectively expressed, and j is expressed as a building material type number, j=1, 2.
From the statistical formula of the purchasing quantity of the building materials, the larger the storage waste rate of the building materials is, the more the corresponding purchasing quantity is.
According to the application, the influence of the storage waste rate of the construction materials on the purchasing amount is fully considered when the purchasing amount of the construction materials of the expressway is determined, so that the storage waste rate of the construction materials is predicted by monitoring the storage environment of the construction materials of the expressway, the purchasing amount of the construction materials of the expressway is comprehensively determined by combining the construction use amount corresponding to the construction materials, the unreasonable manner of the conventional purchasing amount determination of the construction materials is greatly avoided, the rationality and accuracy of the purchasing amount determination of the construction materials of the expressway are improved to a certain extent, and the reliable basis in the aspect of the purchasing amount of the construction materials is provided for the subsequent analysis of the manufacturing cost of the construction materials of the expressway.
(5) And preparing a specified expressway construction material purchasing supply plan according to the purchasing quantity corresponding to various construction materials, and extracting batch supply parameters corresponding to various construction materials from the purchasing supply plan, wherein the batch supply parameters specifically comprise supply time and supply quantity corresponding to each supply, and the supply quantity corresponding to each supply of various construction materials is accumulated to be the purchasing quantity corresponding to the construction materials.
(6) And extracting the corresponding supply time of each building material in each supply from the batch supply parameters, and further determining the target monitoring time of each building material in each supply according to the supply time.
It should be noted that the above-mentioned target monitoring time is specifically month, and in one possible embodiment, assuming that the supply time corresponding to a certain supply of a certain building material is 3 months and 5 days, the target monitoring time corresponding to the certain supply of the building material is 3 months.
(7) The current years are taken as a boundary to define a plurality of historical monitoring years, and then the purchasing unit price of various building materials in each supply is predicted by extracting the unit price of the target monitoring time of the various building materials in each supply corresponding to each historical monitoring year.
It is understood that the historical monitoring period should be defined as much as possible, so as to avoid that less construction material unit price data is extracted due to less defined historical monitoring period, and the accuracy of prediction of unit price of construction material purchased at each supply is affected.
With the above embodiment, the prediction of the purchase unit price of various building materials at each supply is specifically made by the following steps: (71) And comparing the unit prices of the various building materials in the target monitoring time of each supply corresponding to each historical monitoring period, and obtaining the historical maximum price, the historical minimum price and the historical average price of the various building materials in each supply.
(72) Substituting the historical maximum price, the historical minimum price and the historical average price of each building material at each supply into the formulaThe historical price dispersion of each building material in each supply is calculated, wherein the larger the difference between the historical maximum price and the historical minimum price of a certain building material is, the larger the historical price dispersion of the building material is, which indicates that the larger the probability of abnormal unit price data of the building material in unit price data of each supply corresponding to the target monitoring time of each historical monitoring period is.
(73) Comparing the historical price dispersion degree of each building material in each supply with the set limit historical price dispersion degree, if the historical price dispersion degree corresponding to a certain building material in each supply is larger than the set limit historical price dispersion degree, identifying abnormal unit price from unit price of the building material in the target monitoring time corresponding to each historical monitoring time in each supply, removing the abnormal unit price, taking the reserved price data as effective unit price of the building material in the target monitoring time corresponding to each supply, and otherwise taking unit price of the building material in the target monitoring time corresponding to each historical monitoring time in each supply as effective unit price.
On the basis of the scheme, the specific identification mode for identifying abnormal unit price corresponding to the unit price of the building material in the target monitoring time corresponding to each historical monitoring period is that the unit price of the building material in the target monitoring time corresponding to each historical monitoring period is compared with the historical average price of the building material in the corresponding time to each historical monitoring period to obtain comparison difference values, the obtained comparison difference values take absolute values and then are compared with a set threshold value, and if the absolute value of a certain comparison difference value is larger than the set threshold value, the unit price corresponding to the comparison difference value is taken as the abnormal unit price, so that the abnormal unit price is identified.
(74) Taking the historical monitoring years as the abscissa and the effective unit price as the ordinate, acquiring the historical monitoring years corresponding to each effective unit price of each building material in each corresponding target monitoring time, marking a plurality of points in the two-dimensional coordinates for each effective unit price of each building material in each corresponding target monitoring time, obtaining an effective unit price change curve of each building material in each corresponding target monitoring time, and calculating the slope k of the change curve, as shown in fig. 3 j f And utilize the formulaObtaining price trend representation value xi of various building materials in each supply j f Where f is represented as each supply number, f=1, 2,..x, and ζ j f The value of (2) is between-1 and 1.
When the price trend representing value of a certain building material corresponding to a certain supply is larger than 0, the price trend representing value of the building material corresponding to the certain supply is rising, and when the price trend representing value is smaller than 0, the price trend representing value of the building material corresponding to the certain supply is falling.
The slope calculation mode of the change curve is to conduct derivative calculation on the change curve to obtain the slope.
(75) Calculating the average value of each effective unit price of each building material in each corresponding target monitoring time to obtain the historical average effective unit price of each building material in each corresponding target monitoring timeAnd utilize the formula +.>Calculating the historical average effective monovalent convergence of various building materials in each supply +.> The i effective unit price, denoted as the j-th building material present in the f-th supply corresponding target monitoring time, i denoted as the effective unit price number, i=1, 2,..n, n denoted as the effective unit price number, wherein the closer a certain building material is present between each effective unit price and the historical average effective unit price in each supply corresponding target monitoring time, the greater the historical average effective unit price convergence of the building material in that supply, the more representative the effective unit price concentration of the building material in each supply corresponding target monitoring time is, i.e., the more representative the building material is present in the historical average effective unit price in that supply.
(76) The method comprises the steps of respectively taking each effective unit price of each building material in each supply corresponding to target monitoring time as target reference, comparing other effective unit price with target effective unit price, and calculating convergence of each building material in each supply corresponding to each effective unit price in a historical average effective unit price convergence calculation mode, wherein a specific calculation formula is as followsIn p j f b is represented as the b-th effective unit price of the j-th building material except the i-th effective unit price in the f-th supply corresponding target monitoring time, and the constraint condition of b is +.>
(77) Comparing the historical average effective unit price convergence of various building materials at each supply with the convergence of each effective unit price, and selecting the maximum convergence therefromThe unit price corresponding to the degree is taken as the basic price corresponding to each supply of various building materials and is recorded as
(78) The corresponding basic price and price trend representation value of each supply of various building materials are combined to pass through a predictive formulaObtaining purchase unit price R of various building materials in each supply j f Wherein the purchase price of a certain building material at a certain supply is higher than the base price of the building material at the certain supply when the price trend representation value corresponding to the certain supply is larger than 0, and conversely the purchase price of the building material at the certain supply is lower than the base price corresponding to the certain building material at the certain supply.
According to the application, when the purchasing unit price of the construction material of the expressway is determined, the purchasing unit price of the construction material is predicted in each supply by taking the time of each supply of the construction material as the determination time, so that the consideration of the overflow price generated in the construction material supply process is fully reflected, the batch pertinence and flexibility determination of the purchasing unit price of the construction material of the expressway are realized, the applicable limitation of the existing purchasing unit price determination mode of the construction material is broken, the determination mode provided by the application is more practical, the accuracy of determining the purchasing unit price of the construction material is improved, and the reliable basis in the aspect of purchasing unit price of the construction material is provided for the subsequent analysis of the construction material of the expressway.
The application predicts the purchasing unit price of each building material in each supply by combining the basic price and the historical price trend of each building material in each supply, and can improve the accuracy of the prediction result.
(8) Constructing a construction material cost budget model, and further guiding purchase unit price and supply quantity of various construction materials in each supply into the construction material cost budget modelObtaining the construction material cost corresponding to the specified expressway, wherein y j f Expressed as the supply of the jth build material at the f-th supply.
Example 2
Referring to fig. 2, the present application proposes a construction cost analysis system, comprising the following modules: and the building material storage environment index monitoring module is used for arranging an environment monitoring terminal in the building material storage room of the specified expressway and monitoring the storage environment index in the building material storage room.
The storage environment suitability evaluation module is respectively connected with the building material storage environment index monitoring module and the building material information base and is used for evaluating the storage environment suitability corresponding to various building materials according to the storage environment indexes in the building material storage room.
The building material information base is used for storing normal storage environment indexes corresponding to various building materials and storing storage environment suitability intervals and storage waste rates corresponding to various storage environment suitability grades.
The construction material purchase quantity statistics module is respectively connected with the storage environment suitability evaluation module and the building material information base, and is used for obtaining construction use quantities corresponding to various construction materials corresponding to the specified expressway through construction scale matching corresponding to the specified expressway, predicting storage waste rates corresponding to the various construction materials based on storage environment suitability corresponding to the various construction materials, and further counting purchase quantities corresponding to the various construction materials according to the construction use quantities corresponding to the various construction materials and the storage waste rates.
And the construction material batch supply purchase unit price prediction module is used for making a specified expressway construction material purchase supply plan according to the purchase quantity corresponding to various construction materials and predicting the purchase unit price of various construction materials in each supply according to batch supply parameters in the purchase supply plan.
The construction material cost budget module is respectively connected with the construction material batch supply purchase unit price prediction module and the construction material purchase quantity statistics module and is used for constructing a construction material cost budget model, and then the purchase unit price and the supply quantity of various construction materials which are supplied at each time are led into the construction material cost budget model to obtain the construction material cost corresponding to the appointed expressway.
Example 3
The present application proposes a construction cost analysis storage medium storing one or more programs executable by one or more processors to implement the construction cost analysis method of the present application.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the application or exceeding the scope of the application as defined by the claims.
Claims (10)
1. The engineering cost analysis method is characterized by comprising the following steps:
(1) Setting an environment monitoring terminal in a building material storage room of a specified expressway, and monitoring storage environment indexes in the building material storage room;
(2) Evaluating the suitability of storage environments corresponding to various building materials according to storage environment indexes in the building material storage room;
(3) Predicting storage waste rates corresponding to various building materials based on storage environment suitability corresponding to the various building materials;
(4) Obtaining construction scale matching corresponding to a specified expressway to obtain construction usage amount corresponding to various construction materials corresponding to the specified expressway, and counting purchase amount corresponding to various construction materials by combining the construction usage amount with storage waste rate corresponding to the various construction materials;
(5) Preparing a specified expressway construction material purchasing and supplying plan according to the purchasing amount corresponding to various construction materials, and extracting batch supply parameters corresponding to various construction materials from the purchasing and supplying plan, wherein the batch supply parameters comprise the supply time and the supply amount corresponding to each time of supply;
(6) Extracting corresponding supply time of various building materials in each supply from the batch supply parameters, and further determining target monitoring time of various building materials in each supply according to the supply time;
(7) Defining a plurality of historical monitoring years by taking the current years as a boundary, and further predicting purchasing unit price of various building materials in each supply by extracting unit price of target monitoring time of various building materials in each supply corresponding to each historical monitoring year;
(8) And constructing a construction material cost budget model, and further guiding the purchase unit price and supply quantity of various construction materials in each supply into the construction material cost budget model to obtain the construction material cost corresponding to the specified expressway.
2. A construction cost analysis method according to claim 1, wherein: the storage environment indexes comprise storage temperature, storage humidity and storage illumination intensity.
3. A construction cost analysis method according to claim 2, wherein: the operation process for monitoring the storage environment index in the building material storage chamber is as follows:
(11) Distributing a plurality of acquisition points in the building material storage room space;
(12) Setting an environment monitoring terminal at each acquisition point, and acquiring storage environment indexes of each acquisition point by the environment monitoring terminal;
(13) Extracting the outline of the building material storage area according to the building material storage area arranged in the building material storage room, and taking the central point of the outline of the building material storage area as a storage representative point;
(14) Obtaining the distance between each acquisition point and the storage representative point, and substituting the distance between each acquisition point and the storage representative point and the storage environment index of each acquisition point into the formulaCalculating the storage environment index W in the building material storage room d Wherein d is represented as a storage environment index, d is ST or SH or SY, and ST, SH and SY are respectively represented asStorage temperature, storage humidity, storage illumination intensity, w d i denotes a storage environment index of an i-th collection point in the building material storage chamber, i denotes a collection point number, i=1, 2,..n, n denotes the number of collection points laid out in the building material storage chamber space, l i Expressed as the distance between the ith acquisition point and the storage representative point, l 0 Expressed as a reference distance, e is expressed as a natural constant.
4. A construction cost analysis method according to claim 3, wherein: the evaluation of the suitability of various building materials for storage environments is carried out by the following steps:
(21) Extracting normal storage environment indexes corresponding to various building materials from a building material information base;
(22) Comparing the storage environment index in the building material storage room with the normal storage environment index corresponding to various building materials, and utilizing an evaluation formula
Evaluating storage environment suitability ψ corresponding to various building materials j Wherein ST is j 、SH j 、SY j Respectively expressed as normal storage temperature, normal storage humidity and normal storage illumination intensity corresponding to the j-th building material, j expressed as building material type number, j=1, 2, …, m, ST, SH and SY respectively expressed as storage temperature, storage humidity, storage illumination intensity and lambda in the building material storage chamber ST j、λ SH j、λ SY j is respectively expressed as the weight factors of the corresponding storage temperature, storage humidity and storage illumination intensity of the set j-th building material.
5. A construction cost analysis method according to claim 1, wherein: the method comprises the following steps of:
(31) Comparing the storage environment suitability corresponding to various building materials with the storage environment suitability interval corresponding to various storage environment suitability grades stored in the building material information base, and screening the storage environment suitability grades corresponding to various building materials from the storage environment suitability intervals;
(32) And matching the storage environment suitable grade corresponding to the various building materials with the storage waste rate corresponding to the storage environment suitable grade stored in the building material information base, and matching the storage waste rate corresponding to the various building materials.
6. A construction cost analysis method according to claim 1, wherein: the statistical formula of the purchase quantity corresponding to the various building materials is as followsWherein q is j 、/>The construction usage amount and the storage waste rate corresponding to the j-th building material are respectively expressed, j is expressed as the type number of the building material, and j=1, 2, … and m.
7. A construction cost analysis method according to claim 1, wherein: the prediction of the purchase unit price of various building materials at each supply is specifically described in the following steps:
(71) Comparing the unit prices of the various building materials in the target monitoring time of each supply corresponding to each historical monitoring period to obtain the historical maximum price, the historical minimum price and the historical average price of the various building materials in each supply;
(72) Substituting the historical maximum price, the historical minimum price and the historical average price of each building material at each supply into the formulaCalculating historical price dispersion of various building materials in each supply;
(73) Identifying the effective unit price of each build material present in each supply for the target monitoring time based on the historical price dispersion of each build material in each supply;
(74) Marking a plurality of points in a two-dimensional coordinate for the effective unit price of each building material in each supply corresponding to the target monitoring time by taking the historical monitoring period as an abscissa and the effective unit price as an ordinate to obtain an effective unit price change curve of each building material in each supply corresponding to the target monitoring time, and calculating the slope k of the change curve j f And utilize the formulaObtaining price trend representation value xi of various building materials in each supply j f Where f is denoted as each supply number, f=1, 2,..x;
(75) Calculating the average value of each effective unit price of each building material in each corresponding target monitoring time to obtain the historical average effective unit price of each building material in each corresponding target monitoring timeAnd utilize the formulaCalculating the historical average effective monovalent convergence of various building materials in each supply +.> Denoted as the i-th effective unit price of the j-th build material present in the f-th supply corresponding target monitoring time, i denoted as the effective unit price number, i=1, 2,..;
(76) Taking each effective unit price of each building material in each supply corresponding to the target monitoring time as a target reference, comparing other effective unit prices with the target effective unit price, and calculating the convergence degree of each building material in each supply corresponding to each effective unit price in a historical average effective unit price convergence degree calculation mode;
(77) Comparing the historical average effective unit price convergence of various building materials at each supply with the convergence of each effective unit price, selecting the unit price corresponding to the maximum convergence as the base price corresponding to the various building materials at each supply, and marking as p j f Foundation ；
(78) The corresponding basic price and price trend representation value of each supply of various building materials are combined to pass through a prediction formula R j f ＝p j f Foundation (1+ξ j f ) Obtaining purchase unit price R of various building materials in each supply j f 。
8. A construction cost analysis method according to claim 7, wherein: the construction material cost budget model is thatWherein y is j f Expressed as the supply of the jth build material at the f-th supply.
9. An engineering cost analysis system, comprising the following modules:
the building material storage environment index monitoring module is used for setting an environment monitoring terminal in a building material storage room of a specified expressway and monitoring storage environment indexes in the building material storage room;
the storage environment suitability evaluation module is used for evaluating the storage environment suitability corresponding to various building materials according to the storage environment indexes in the building material storage room;
the building material information base is used for storing normal storage environment indexes corresponding to various building materials and storing storage environment suitability intervals and storage waste rates corresponding to various storage environment suitability levels;
the construction material purchase quantity statistics module is used for obtaining construction use quantities corresponding to various construction materials corresponding to the specified expressway through construction scale matching corresponding to the specified expressway, predicting storage waste rates corresponding to the various construction materials based on storage environment suitability corresponding to the various construction materials, and further counting purchase quantities corresponding to the various construction materials according to the construction use quantities corresponding to the various construction materials and the storage waste rates;
the construction material batch supply purchase unit price prediction module is used for making a specified expressway construction material purchase supply plan according to the purchase quantity corresponding to various construction materials and predicting the purchase unit price of various construction materials in each supply according to batch supply parameters in the purchase supply plan;
and the construction material cost budget module is used for constructing a construction material cost budget model, and further guiding purchase unit price and supply quantity of various construction materials supplied each time into the construction material cost budget model to obtain construction material cost corresponding to the specified expressway.
10. An engineering cost analysis storage medium, characterized in that: the construction cost analysis storage medium stores one or more programs executable by one or more processors to implement the steps in the construction cost analysis method as recited in any one of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310759231.XA CN116739642B (en) | 2023-06-26 | 2023-06-26 | Engineering cost analysis method, system and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310759231.XA CN116739642B (en) | 2023-06-26 | 2023-06-26 | Engineering cost analysis method, system and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116739642A true CN116739642A (en) | 2023-09-12 |
| CN116739642B CN116739642B (en) | 2024-01-26 |
Family
ID=87902661
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310759231.XA Active CN116739642B (en) | 2023-06-26 | 2023-06-26 | Engineering cost analysis method, system and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116739642B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116862545A (en) * | 2023-04-25 | 2023-10-10 | 广东源恒软件科技有限公司 | Dynamic analysis method and system for engineering cost |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN208263791U (en) * | 2018-04-27 | 2018-12-21 | 魏文 | A kind of project cost budget material purchases minute book |
| CN112907178A (en) * | 2021-03-06 | 2021-06-04 | 南京红薇电子科技有限公司 | Industrial production raw material intelligent management system based on cloud computing and artificial intelligence |
| CN114066515A (en) * | 2021-11-12 | 2022-02-18 | 珠海格力电器股份有限公司 | Method and device for determining purchasing strategy and computer readable storage medium |
| CN114418318A (en) * | 2021-12-24 | 2022-04-29 | 华能国际电力股份有限公司大连电厂 | Generation method of priority queue of purchasing task |
| CN114493441A (en) * | 2022-01-26 | 2022-05-13 | 贵州黔程慧通科技发展有限责任公司 | Fine intelligent management system and method for transaction security assets |
| CN114971327A (en) * | 2022-06-02 | 2022-08-30 | 贵州百胜数源工程技术管理有限公司 | Intelligent building material data management system based on characteristic analysis |
| CN115375024A (en) * | 2022-08-23 | 2022-11-22 | 杭州比智科技有限公司 | Method and system for predicting and reminding purchasing based on bom material loss |
-
2023
- 2023-06-26 CN CN202310759231.XA patent/CN116739642B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN208263791U (en) * | 2018-04-27 | 2018-12-21 | 魏文 | A kind of project cost budget material purchases minute book |
| CN112907178A (en) * | 2021-03-06 | 2021-06-04 | 南京红薇电子科技有限公司 | Industrial production raw material intelligent management system based on cloud computing and artificial intelligence |
| CN114066515A (en) * | 2021-11-12 | 2022-02-18 | 珠海格力电器股份有限公司 | Method and device for determining purchasing strategy and computer readable storage medium |
| CN114418318A (en) * | 2021-12-24 | 2022-04-29 | 华能国际电力股份有限公司大连电厂 | Generation method of priority queue of purchasing task |
| CN114493441A (en) * | 2022-01-26 | 2022-05-13 | 贵州黔程慧通科技发展有限责任公司 | Fine intelligent management system and method for transaction security assets |
| CN114971327A (en) * | 2022-06-02 | 2022-08-30 | 贵州百胜数源工程技术管理有限公司 | Intelligent building material data management system based on characteristic analysis |
| CN115375024A (en) * | 2022-08-23 | 2022-11-22 | 杭州比智科技有限公司 | Method and system for predicting and reminding purchasing based on bom material loss |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116862545A (en) * | 2023-04-25 | 2023-10-10 | 广东源恒软件科技有限公司 | Dynamic analysis method and system for engineering cost |
| CN116862545B (en) * | 2023-04-25 | 2024-06-14 | 广东源恒软件科技有限公司 | Dynamic analysis method and system for engineering cost |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116739642B (en) | 2024-01-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Müller | Energy demand assessment for space conditioning and domestic hot water: a case study for the Austrian building stock | |
| CN107123982B (en) | Power distribution network reliability economic benefit analysis method based on equipment transaction | |
| CN101751620B (en) | Method and system for monitoring and analyzing energy consumption in an operating chemical plant | |
| CN116739642B (en) | Engineering cost analysis method, system and storage medium | |
| CN101872384A (en) | Dynamic sustainability factor management | |
| CN116630122B (en) | Lake ecological hydraulic regulation and control method and system based on hydrologic-ecological response relation | |
| CN114997534B (en) | Similar rainfall forecasting method and equipment based on visual features | |
| CN114155072B (en) | Financial prediction model construction method and system based on big data analysis | |
| Li et al. | A new strategy to benchmark and evaluate building electricity usage using multiple data mining technologies | |
| KR20140021179A (en) | Method and apparatus for predicting daily solar radiation level | |
| CN111612019A (en) | Method for identifying and analyzing fault abnormality of intelligent electric meter based on big data model | |
| CN117408394B (en) | Carbon emission factor prediction method and device for electric power system and electronic equipment | |
| Luque et al. | Monthly electricity demand patterns and their relationship with the economic sector and geographic location | |
| CN111222678A (en) | Road surface technical condition prediction method | |
| CN117851908A (en) | Improved on-line low-voltage transformer area electric energy meter misalignment monitoring method and device | |
| CN116228175B (en) | Real-time management system based on enterprise-level engineering construction cost | |
| CN110210642A (en) | A kind of city electric energy substitution amount prediction technique and device | |
| Kievskiy | Predicting building dilapidation in order to ensure efficient planning and management of the implementation of large-scale urban projects of dispersed construction | |
| CN114625781A (en) | Commodity housing value-based batch evaluation method | |
| Junaeti et al. | Implementation of automatic clustering algorithm and fuzzy time series in motorcycle sales forecasting | |
| Nepal et al. | A Hybrid Model of Clustering and Neural Network Using Weather Conditions for Energy Management in Buildings | |
| CN112330280A (en) | Method and system for inquiring credit of human resource market main body | |
| CN117035469B (en) | Method and device for measuring and calculating land indexes of public and railway intermodal transportation junction functional area construction | |
| Lavalle et al. | Modelling and projecting urban land cover | |
| CN111914395B (en) | High arch dam valley amplitude deformation prediction analysis method based on ARIMA-GC-SVR |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |