CN114970954A - Distribution network infrastructure data deepening application component engineering material prediction model system - Google Patents
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Abstract
The invention discloses a distribution network infrastructure data deepening application component engineering material prediction model system, which comprises: the material module is used for recording the model and the quantity of consumed materials in the engineering project: the database is used for recording the material models and the quantity required by each engineering project; the forecasting module is used for forecasting the inventory quantity of various types of materials in unit time in future according to historical consumed material data; the calculating module is used for calculating the quantity of various types of materials required in unit time in the future according to the quantity of the consumed materials predicted by the predicting module; the material management module is used for counting the residual quantity of each type of material in the warehouse; and the purchasing module is used for obtaining the number of the gaps of each type of material according to the number of each type of material required in future unit time and the residual number of each type of material in the warehouse.
Description
Technical Field
The invention belongs to the technical field of information management, and particularly relates to a distribution network infrastructure data deepening application component engineering material prediction model system.
Background
The method comprises the steps of constructing a power supply service command system-based distribution network integrated office application taking a client-oriented power supply service unified command and taking a reliable power supply as a center for power distribution operation cooperative command. The method is actively adapted to the requirements of power system reformation and marketization competition, the consciousness of 'four services' is adhered to as the root, the advanced technologies of the Internet of things and the Internet are utilized, professional data such as marketing, operation and inspection, scheduling and the like are deeply integrated, the barriers between the profession and the system are thoroughly eliminated through means such as flow communication, information sharing, system integration and the like, and the standardized unified service of cross-system and cross-platform is provided. By applying a big data technology, multi-dimensional mining such as displaying, analyzing, early warning, managing and controlling, decision making and the like is carried out on business data, a novel power supply service form under 'internet +' is formed, prediction of distribution network engineering project next year engineering materials is achieved, and in order to further improve comprehensive decision making capability of Jiashan companies in the aspect of material management, an advanced and complete distribution network engineering material prediction model is established on the basis of an existing material management system, acquired experience, data and data, so that a decision making layer and a management layer are assisted to make scientific decisions and carry out scientific management work.
Disclosure of Invention
The invention aims to provide a distribution network infrastructure data based deepening application component engineering material prediction model system, which aims to solve the technical problems in the background technology.
In order to solve the technical problem, the invention aims to realize that:
based on distribution network capital construction data deepening application component engineering material prediction model system, its characterized in that: the method comprises the following steps:
the material module is used for recording the model and the quantity of consumed materials in the engineering project;
the database is used for recording the material models and the quantity required by each engineering project;
the forecasting module is used for forecasting the inventory quantity of various types of materials in unit time in future according to historical consumed material data;
the calculating module is used for calculating the quantity of various types of materials required in the unit time in the future according to the quantity of the consumed materials predicted by the predicting module;
the material management module is used for counting the residual quantity of each type of material in the warehouse;
and the purchasing module is used for obtaining the number of the gaps of each type of material according to the number of each type of material required in future unit time and the residual number of each type of material in the warehouse.
On the basis of the above scheme and as a preferable scheme of the scheme: the prediction module comprises a first data module, a second data module and a prediction accounting module;
the first data module is used for acquiring first historical consumed material data in a set time period before a specified time point, and substituting the first historical consumed material data into an autoregressive moving average model to obtain first prediction data;
the second data module is used for acquiring second historical consumed material data in a plurality of corresponding specified time periods in a historical period, and bringing the second historical consumed material data into an autoregressive moving average model to obtain second prediction data;
and the prediction accounting module is used for performing weighted calculation on the obtained first prediction data and the second prediction data to obtain the predicted consumed material data of the product.
On the basis of the above scheme and as a preferable scheme of the scheme: the prediction module further comprises a weighting management module, and the weighting management module is used for setting the weight used by the prediction accounting module during calculation.
On the basis of the above scheme and as a preferable scheme of the scheme: the material management module comprises a warehousing module, a delivery module and a statistic module, wherein the warehousing module is used for registering the types and the quantity of warehoused materials and recording the types and the quantity of the warehoused materials through the statistic module, and the delivery module is used for recording the types and the quantity of the delivered materials and deleting the record through the statistic module.
On the basis of the above scheme and as a preferable scheme of the scheme: the system also comprises an updating module used for updating and modifying the data in the database.
On the basis of the above scheme and as a preferable scheme of the scheme: the system also comprises a data sending module, wherein the data sending module is used for sending the gap quantity data of the materials of various types obtained by the purchasing module to a receiving terminal.
Compared with the prior art, the invention has the outstanding and beneficial technical effects that: by arranging the material module, the database, the prediction module, the calculation module, the material management module and the purchasing module, the model and the quantity of consumed material products are recorded, namely historical consumed material data, the consumed material quantity of each model product in future unit time is predicted according to the historical consumed material data, and then the notch quantity of each model material is obtained according to the material model quantity required by each product production and the residual material quantity in the database, so that the quantity of each model material required to be purchased in future unit time can be planned in advance, the problem of production cycle delay caused by insufficient stock material quantity or fund flow caused by excessive purchased material quantity is avoided, and the system plays an important role in material purchasing management of the power management system.
Detailed Description
In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments will be clearly and completely described below with reference to the embodiments, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all embodiments. All other embodiments obtained by a person skilled in the art without making any inventive step, based on the given embodiments, fall within the scope of protection of the present application.
In the description of the present application, it is to be understood that the terms "upper", "lower", and the like, indicate an orientation or positional relationship of the orientation or positional relationship only for convenience of description and simplicity of description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed and operated in a particular orientation, and therefore should not be construed as limiting the present application.
In the description of the present application, the terms "first", "second", and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implying any number of technical features indicated.
In order to solve the technical problem, the invention aims to realize that:
based on distribution network capital construction data deepening application component engineering material prediction model system includes:
the material module is used for recording the model and the quantity of consumed materials in the engineering project;
the database is used for recording the material models and the quantity required by each engineering project;
the forecasting module is used for forecasting the inventory quantity of various types of materials in unit time in future according to historical consumed material data;
the calculating module is used for calculating the quantity of various types of materials required in the unit time in the future according to the quantity of the consumed materials predicted by the predicting module;
the material management module is used for counting the residual quantity of each type of material in the warehouse;
and the purchasing module is used for obtaining the number of the gaps of each type of material according to the number of each type of material required in future unit time and the residual number of each type of material in the warehouse.
Further preferably, the prediction module comprises a first data module, a second data module and a prediction accounting module;
the first data module is used for acquiring first historical consumed material data in a set time period before a specified time point, and substituting the first historical consumed material data into an autoregressive moving average model to obtain first prediction data;
the second data module is used for acquiring second historical consumed material data in a plurality of corresponding specified time periods in a historical period, and bringing the second historical consumed material data into an autoregressive moving average model to obtain second prediction data;
and the prediction accounting module is used for performing weighted calculation on the obtained first prediction data and the second prediction data to obtain the predicted consumed material data of the product.
Further preferably, the prediction module further includes a weighting management module, and the weighting management module is configured to set a weight value used by the prediction accounting module in the calculation.
Preferably, the material management module comprises a warehousing module, a delivery module and a counting module, the warehousing module is used for registering the type and the quantity of warehoused materials and recording the types and the quantity of the warehoused materials through the counting module, and the delivery module is used for recording the type and the quantity of the delivered materials and deleting the record through the counting module.
Further preferably, the system further comprises an updating module, configured to update and modify data in the database.
Preferably, the system further comprises a data sending module, and the data sending module is used for sending the data of the gap number of each type of material obtained by the purchasing module to a receiving terminal.
Compared with the prior art, the invention has the outstanding and beneficial technical effects that: by arranging the material module, the database, the prediction module, the calculation module, the material management module and the purchasing module, the model and the quantity of consumed material products are recorded, namely historical consumed material data, the consumed material quantity of each model product in future unit time is predicted according to the historical consumed material data, and then the notch quantity of each model material is obtained according to the material model quantity required by each product production and the residual material quantity in the database, so that the quantity of each model material required to be purchased in future unit time can be planned in advance, the problem of production cycle delay caused by insufficient stock material quantity or fund flow caused by excessive purchased material quantity is avoided, and the system plays an important role in material purchasing management of the power management system.
The above embodiments are only preferred embodiments of the present invention, and the protection scope of the present invention is not limited thereby, so: all equivalent changes made according to the structure, shape and principle of the invention are covered by the protection scope of the invention.
Claims (6)
1. Based on distribution network capital construction data deepening application component engineering material prediction model system, its characterized in that: the method comprises the following steps:
the material module is used for recording the model and the quantity of consumed materials in the engineering project;
the database is used for recording the material models and the quantity required by each engineering project;
the forecasting module is used for forecasting the inventory quantity of various types of materials in unit time in future according to historical consumed material data;
the calculating module is used for calculating the quantity of various types of materials required in the unit time in the future according to the quantity of the consumed materials predicted by the predicting module;
the material management module is used for counting the residual quantity of each type of material in the warehouse;
and the purchasing module is used for obtaining the number of the gaps of each type of material according to the number of each type of material required in future unit time and the residual number of each type of material in the warehouse.
2. The distribution network infrastructure data deepening application component engineering material prediction model system based on claim 1 is characterized in that: the prediction module comprises a first data module, a second data module and a prediction accounting module;
the first data module is used for acquiring first historical consumed material data in a set time period before a specified time point, and substituting the first historical consumed material data into an autoregressive moving average model to obtain first prediction data;
the second data module is used for acquiring second historical consumed material data in a plurality of corresponding specified time periods in a historical period, and bringing the second historical consumed material data into an autoregressive moving average model to obtain second prediction data;
and the prediction accounting module is used for performing weighted calculation on the obtained first prediction data and the second prediction data to obtain the predicted consumed material data of the product.
3. The distribution network infrastructure data deepening application component engineering material prediction model system based on claim 1 is characterized in that: the prediction module further comprises a weighting management module, and the weighting management module is used for setting the weight used by the prediction accounting module during calculation.
4. The distribution network infrastructure data deepening application component engineering material prediction model system based on claim 1 is characterized in that: the material management module comprises a warehousing module, a delivery module and a statistic module, wherein the warehousing module is used for registering the types and the quantity of warehoused materials and recording the types and the quantity of the warehoused materials through the statistic module, and the delivery module is used for recording the types and the quantity of the delivered materials and deleting the record through the statistic module.
5. The distribution network infrastructure data deepening application component engineering material prediction model system based on claim 1 is characterized in that: the system also comprises an updating module used for updating and modifying the data in the database.
6. The distribution network infrastructure data deepening application component engineering material prediction model system based on claim 1 is characterized in that: the system also comprises a data sending module, wherein the data sending module is used for sending the gap quantity data of the materials of various types obtained by the purchasing module to a receiving terminal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600772A (en) * | 2022-12-13 | 2023-01-13 | 山东朱氏堂医疗器械有限公司（Cn） | Prediction management system for physical defervescence product |
| CN116151772A (en) * | 2023-04-17 | 2023-05-23 | 山东恒远智能科技有限公司 | Method and system for managing complete materials of equipment manufacturing enterprises |
| CN116452110A (en) * | 2023-03-13 | 2023-07-18 | 南京先之信息科技有限公司 | Remote material management platform system |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113947453A (en) * | 2021-09-28 | 2022-01-18 | 安徽云星空信息科技有限公司 | Electronic commerce material management system |
| CN114239989A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Method, system, equipment and storage medium for calculating material demand plan |
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- 2022-04-15 CN CN202210396769.4A patent/CN114970954A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113947453A (en) * | 2021-09-28 | 2022-01-18 | 安徽云星空信息科技有限公司 | Electronic commerce material management system |
| CN114239989A (en) * | 2021-12-24 | 2022-03-25 | 四川启睿克科技有限公司 | Method, system, equipment and storage medium for calculating material demand plan |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115600772A (en) * | 2022-12-13 | 2023-01-13 | 山东朱氏堂医疗器械有限公司（Cn） | Prediction management system for physical defervescence product |
| CN116452110A (en) * | 2023-03-13 | 2023-07-18 | 南京先之信息科技有限公司 | Remote material management platform system |
| CN116452110B (en) * | 2023-03-13 | 2023-09-05 | 南京先之信息科技有限公司 | Remote material management platform system |
| CN116151772A (en) * | 2023-04-17 | 2023-05-23 | 山东恒远智能科技有限公司 | Method and system for managing complete materials of equipment manufacturing enterprises |
| CN116151772B (en) * | 2023-04-17 | 2023-08-01 | 山东恒远智能科技有限公司 | Method and system for managing complete materials of equipment manufacturing enterprises |
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