Data processing system and method based on integrated energy smart management platform

Abstract

The application discloses a data processing system and method based on a comprehensive energy intelligent management platform, relates to the technical field of energy data processing, and comprises the following steps: a comprehensive energy intelligent management platform outputs total energy index data, acquires the product demand total amount of a target project, calculates energy consumption based on the product demand total amount of the target project, simultaneously acquires real-time energy consumption under unit product production, forms a prediction model based on invalid additional product data in the product production process of the target project, outputs invalid additional product prediction data under different total amounts of production, acquires storage loss and destruction loss under unit invalid additional product, forms a processing work order of the target project based on the invalid additional product prediction data, and feeds back to an administrator port. The application can improve the accuracy of energy management, optimize the energy structure, reduce carbon emissions, and promote green and low-carbon development.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of energy data processing, in particular to a data processing system and method based on a comprehensive energy smart management platform. BACKGROUND

[0002] The comprehensive energy smart management platform is an intelligent energy management system based on Internet of Things, big data, artificial intelligence and other new generation information technologies, aiming to realize the collaborative optimization and efficient utilization of electricity, heat, cold, gas and other multiple energies. The platform is widely used in industrial parks, smart cities, commercial buildings, microgrids and other fields, and based on the multi-energy collaboration mode, realizes joint scheduling and complementary operation, improves energy utilization efficiency, however, in the current comprehensive energy smart management platform, almost all of them are for energy monitoring and processing in the production process, using algorithm model to realize the best utilization rate of energy in the production process, so as to realize the reasonable control of energy, however, it ignores that in the actual production process, there are many consumption factors of energy consumption, for example, in the production process of energy added products, it is inevitable to produce useless added products, for the useless added products, the comprehensive energy smart management platform on the market often defines them as product loss in the production process, and directly deducts them in the production end in the form of proportion, so as to cause the energy consumption data of the storage and destruction process of useless added products to be fuzzy, and further affect the accuracy of the whole energy management, and add a lot of loss in energy cost. SUMMARY

[0003] The purpose of the present application is to provide a data processing system and method based on a comprehensive energy smart management platform to solve the problems in the prior art.

[0004] To achieve the above purpose, the present application provides the following technical scheme: a data processing method based on a comprehensive energy smart management platform, the method comprising:

[0005] S1, the comprehensive energy smart management platform outputs total energy index data, the total energy index data refers to the real-time total energy consumption index of the comprehensive energy smart management platform applied to the target project;

[0006] S2, obtaining the total product demand of the target project, calculating the energy consumption based on the total product demand of the target project, and simultaneously, obtaining the real-time energy consumption under unit product production;

[0007] S3, based on the invalid added product data in the product production process of the target project, forming a prediction model, and outputting invalid added product prediction data under different total production of products;

[0008] S4, obtain the storage loss and the destruction loss under the invalid additional product of the acquisition unit, form a processing order of the target project based on the invalid additional product prediction data, and feedback to the administrator port.

[0009] According to the technical scheme, the S1 comprises:

[0010] Step S1-1: The comprehensive energy intelligent management platform reads the target project data input by the administrator, sorts out the time data required by the target project, determines the time cutoff node of the target project in the comprehensive energy intelligent management platform based on the time data required by the target project, and outputs the energy supply duration of the target project at the time cutoff node;

[0011] Step S1-2: The administrator manually allocates energy weight for the target project on the comprehensive energy intelligent management platform, outputs the total energy index data, and marks the authority cutoff time of the total energy index data on the energy supply duration.

[0012] According to the technical scheme, the S2 comprises:

[0013] Step S2-1: Based on the product demand of the target project, the energy consumption of the unit product production of the target project is called in the historical database, comprising: marking the energy consumption of the unit product of the target project in the historical database, and taking the average value as the called energy consumption of the unit product production of the target project;

[0014] Step S2-2: Based on the energy consumption of the unit product production of the target project and the total amount of product demand of the target project, the total energy consumption of the target project is calculated, and based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feedback to the administrator port for alarm.

[0015] According to the technical scheme, the step S3 comprises:

[0016] Step S3-1: Obtain the invalid additional product data in the production process of the target project in the historical database, the invalid additional product data comprising the number of invalid additional products and the product production quantity of the target project;

[0017] Step S3-2: Write each group of invalid additional product data into a data set (x0, y0), wherein x0 represents the product production quantity of the target project, and y0 represents the number of invalid additional products, construct a prediction model, form a logical relationship between the product production quantity of the target project and the number of invalid additional products, and specifically comprising:

[0018] Linear relationship equation is formed for all data sets, and the regression coefficient k1 is calculated by least square method to form the logical relationship y0=k1x0+m, wherein m represents a constant term.

[0019] According to the technical solution, the step S4 comprises:

[0020] Step S4-1: obtaining storage loss and destruction loss of unit invalid additional product based on experimental data, the storage loss refers to energy consumption of unit invalid additional product in storage, and the destruction loss refers to energy consumption of unit invalid additional product in destruction;

[0021] Step S4-2: taking a unit time period as a processing order time period of the target project, a first time period in the processing order time period of the target project only produces products, and a product production quantity of the target project formed is Wherein, T0 represents a real-time total energy consumption index of the comprehensive energy smart management platform applied to the target project; v0 represents energy consumption of unit product production of the target project; represents rounding off to an integer;

[0022] Step S4-3: starting from a second time period in the processing order time period of the target project, there are three order operations in each processing order time period of the target project, including production operation, storage operation and destruction operation, and an analysis model is constructed, specifically comprising:

[0023] The i-th time period is denoted as [a i , b i , n i-1 -b i ], wherein a i represents a newly produced product quantity of the target project in the i-th time period; b i represents a destruction quantity of invalid additional product in the i-th time period; and n i-1 represents a quantity of invalid additional product in the i-1-th time period.

[0024] The energy consumption of the i-th time period is denoted as: T i =a i *v0+b i *t0+(n i-1 -b i )*h0, wherein T i represents energy consumption of the i-th time period; t0 represents destruction loss of unit invalid additional product; and h0 represents storage loss of unit invalid additional product; for any time period, the energy consumption T i is less than T0, the target project is completed after the total product demand quantity of the target project is produced and the invalid additional product is completely destroyed.

[0025] The system automatically forms several groups of processing work orders, obtains the total energy sum of each group of processing work orders in all time periods in the target project, takes the maximum value of the total energy sum as the output work order feedback to the administrator port.

[0026] The data processing system based on the comprehensive energy wisdom management platform, the system comprises:

[0027] The total energy index data module is used for outputting the real-time total energy consumption index of the comprehensive energy wisdom management platform applied to the target project.

[0028] The real-time energy consumption statistical module is used for obtaining the total product demand of the target project, calculating the energy consumption based on the total product demand of the target project, and simultaneously obtaining the real-time energy consumption under the production of unit product.

[0029] The invalid additional product prediction module forms a prediction model based on the invalid additional product data in the product production process of the target project, and outputs the invalid additional product prediction data under the production of different total amounts of products.

[0030] The work order management module is used for obtaining the storage loss and destruction loss under unit invalid additional product, forming the processing work order of the target project based on the invalid additional product prediction data, and feeding back to the administrator port.

[0031] According to the above technical scheme, the total energy index data module further comprises: the comprehensive energy wisdom management platform reads the target project data input by the administrator, sorts out the time data required by the target project, determines the time cutoff node of the target project in the comprehensive energy wisdom management platform based on the time data required by the target project, and outputs the energy supply duration of the target project at the time cutoff node; the administrator manually allocates the energy weight for the target project on the comprehensive energy wisdom management platform, outputs the total energy index data, and marks the authority cutoff time of the total energy index data on the energy supply duration.

[0032] According to the above technical scheme, the real-time energy consumption statistical module further comprises: based on the product demand of the target project, the energy consumption under the production of unit product of the target project is called in the historical database, including: the energy consumption of unit product of the target project is marked in the historical database, and the average value is taken as the energy consumption under the production of unit product of the target project; based on the energy consumption under the production of unit product of the target project and the total product demand of the target project, the total energy consumption of the target project is calculated, based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy wisdom management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feedback to the administrator port for alarm.

[0033] According to the technical scheme, the storage consumption refers to energy consumption per unit of invalid additional product during storage, and the destruction loss refers to energy consumption per unit of invalid additional product during destruction.

[0034] Compared with the prior art, the application has the beneficial effects that in the production process, the energy additional product is fully considered, the storage loss and destruction loss caused by the invalid additional product are analyzed in detail, the product loss in the production process is newly defined, the accuracy of energy management is improved, the energy structure is optimized, carbon emission is reduced, and green and low-carbon development is promoted. BRIEF DESCRIPTION OF DRAWINGS

[0035] Figure 1 The figure is a schematic diagram of the steps of the data processing method based on the comprehensive energy intelligent management platform. DETAILED DESCRIPTION

[0036] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the application.

[0037] Embodiment: As shown in the figure, the application provides a data processing method based on a comprehensive energy intelligent management platform, which comprises: Figure 1 The comprehensive energy intelligent management platform outputs total energy index data, and the total energy index data refers to real-time total energy consumption index of the comprehensive energy intelligent management platform applied to a target project.

[0038] The comprehensive energy intelligent management platform reads target project data input by an administrator, sorts out time data required by the target project, determines a time cutoff node of the target project in the comprehensive energy intelligent management platform based on the time data required by the target project, and outputs energy supply duration of the target project at the time cutoff node.

[0039] The administrator manually allocates energy weight for the target project on the comprehensive energy intelligent management platform, outputs total energy index data, and marks a permission cutoff time of the total energy index data on the energy supply duration.

[0040] The product demand total of the target project is obtained, energy consumption is calculated based on the product demand total of the target project, and real-time energy consumption under unit product production is obtained.

[0041]

[0042] ​Based on the product demand of the target project, the energy consumption of the unit product production of the target project is called in the historical database, including: marking the energy consumption of the unit product of the target project in the historical database, taking the average value as the called energy consumption of the unit product production of the target project;

[0043] Based on the energy consumption of the unit product production of the target project and the total product demand of the target project, the total energy consumption of the target project is calculated, based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feedback to the administrator port for alarm.

[0044] Based on the invalid additional product data in the product production process of the target project, a prediction model is formed, and invalid additional product prediction data under different total product production is output;

[0045] Obtain the invalid additional product data in the product production process of the target project in the production process of the historical database, the invalid additional product data includes the number of invalid additional products and the product production quantity of the target project;

[0046] Each group of invalid additional product data is written as a data set (x0, y0), where x0 represents the product production quantity of the target project, and y0 represents the number of invalid additional products. A prediction model is constructed to form a logical relationship between the product production quantity of the target project and the number of invalid additional products, specifically including:

[0047] A linear relationship equation is formed for all data sets, and the least square method is used to calculate the regression coefficient k1 to form the logical relationship y0=k1x0+m, where m represents the constant term.

[0048] Obtain the storage loss and destruction loss per unit invalid additional product, form a target project processing work order based on the invalid additional product prediction data, and feedback to the administrator port.

[0049] Based on the experimental data, the storage loss and destruction loss per unit invalid additional product are obtained, the storage loss refers to the energy consumption of the unit invalid additional product storage, and the destruction loss refers to the energy consumption of the unit invalid additional product destruction;

[0050] Take the unit time period as the target project processing work order time period, and the first time period in the target project processing work order time period only produces products, then the product production quantity of the target project is formed Where T0 represents the real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project; v0 represents the energy consumption of the unit product production of the target project; representing rounded.

[0051] From the second time period in the processing order time period of the target project, there are three order operations in the processing order time period of each target project, including production operation, storage operation and destruction operation, an analysis model is constructed, specifically including:

[0052] The i-th time period is denoted as [a i , b i , n i-1 -b i ], wherein a i represents the new production quantity of the target product in the i-th time period; b i represents the destruction quantity of invalid additional products in the i-th time period; n i-1 represents the quantity of invalid additional products in the i-1-th time period;

[0053] The energy consumption of the i-th time period is denoted as: T i =a i *v0+b i *t0+(n i-1 -b i )*h0, wherein T i represents the energy consumption of the i-th time period; t0 represents the destruction loss per unit of invalid additional product; h0 represents the storage loss per unit of invalid additional product; for any time period, the energy consumption T i is less than T0, after completing the production of the total quantity of product demand of the target project, and the invalid additional products are all destroyed, the target project is ended;

[0054] The system automatically forms a plurality of groups of processing orders, obtains the total energy of each group of processing orders in all time periods of the target project, and takes the maximum value of the total energy as an output order and feeds back to the administrator port.

[0055] In this embodiment, a data processing system based on the comprehensive energy intelligent management platform is also provided, which comprises:

[0056] A total energy index data module is configured to output a real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project;

[0057] A real-time energy consumption statistical module is configured to obtain the total quantity of product demand of the target project, calculate the energy consumption based on the total quantity of product demand of the target project, and obtain the real-time energy consumption per unit of product production;

[0058] An invalid additional product prediction module is configured to form a prediction model based on the invalid additional product data in the product production process of the target project, and output invalid additional product prediction data under different total quantities of product production;

[0059] The work order management module is configured to obtain storage loss and destruction loss of the unit invalid additional product, form a processing work order of the target project based on invalid additional product prediction data, and feed back to the administrator port.

[0060] The total energy index data module further comprises: a comprehensive energy wisdom management platform reading target project data input by an administrator, combing time data required by the target project, determining a time cutoff node of the target project on the comprehensive energy wisdom management platform based on the time data required by the target project, and outputting energy supply duration of the target project at the time cutoff node; the administrator manually allocates energy weight for the target project on the comprehensive energy wisdom management platform, outputs total energy index data, and marks the authority cutoff time of the total energy index data on the energy supply duration.

[0061] The real-time energy consumption statistics module further comprises: based on product demand of the target project, calling energy consumption of unit product production of the target project in the historical database, comprising: marking energy consumption of unit product of the target project in the historical database, and taking an average value as the called energy consumption of unit product production of the target project; based on the energy consumption of unit product production of the target project and the total amount of product demand of the target project, calculating the total energy consumption of the target project, based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy wisdom management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feeding back to the administrator port for alarm.

[0062] The storage consumption refers to energy consumption when the unit invalid additional product is stored, and the destruction loss refers to energy consumption when the unit invalid additional product is destroyed.

[0063] It will be obvious to a person skilled in the art that the application is not limited to the details of the foregoing exemplary embodiments, but that the application can be implemented in other concrete forms without departing from the spirit or essential characteristics of the application. The embodiments should therefore be considered in all respects as illustrative and not restrictive, the scope of the application being defined by the appended claims rather than by the foregoing description, and it is therefore intended that all changes and modifications that come within the meaning and range of equivalency of the claims are resolvable thereunder. Any reference signs in the claims should not be construed as limiting the claims concerned.

Claims

1. A data processing method based on an integrated energy smart management platform, characterized in that: The method comprises: S1, the comprehensive energy intelligent management platform outputs total energy index data, and the total energy index data refers to real-time total energy consumption index of the comprehensive energy intelligent management platform applied to a target project; S2, obtaining the total product demand of the target project, calculating energy consumption based on the total product demand of the target project, and simultaneously, obtaining real-time energy consumption under unit product production; S3, forming a prediction model based on invalid additional product data in the product production process of the target project, and outputting invalid additional product prediction data under different total product production; The invalid additional product data includes the number of invalid additional products and the production quantity of the products of the target project; S4, obtaining storage loss and destruction loss under unit invalid additional product, forming a processing work order of the target project based on invalid additional product prediction data, and feeding back to an administrator port; The step S4 comprises: Step S4-1: obtaining storage loss and destruction loss under unit invalid additional product based on experimental data, wherein the storage loss refers to energy consumption when unit invalid additional product is stored, and the destruction loss refers to energy consumption when unit invalid additional product is destroyed; Step S4-2: taking a unit time period as a processing order time period of the target project, the first time period in the processing order time period of the target project only produces products, and the product production quantity of the target project formed is wherein, represents the real-time total energy consumption index of the comprehensive energy wisdom management platform applied to the target project; represents the energy consumption of the target project under the production of a unit product; represents rounding off; ​ Step S4-3: starting from a second time period in the processing work order time period of the target project, there are three work order operations in each processing work order time period of the target project, including production operation, storage operation and destruction operation, and an analysis model is constructed, which specifically comprises: Let the number of products produced in the i-th time period be denoted as wherein, denotes the number of products produced in the i-th time period; denotes the number of destroyed ineffective add-ons in the i-th time period; denotes the number of ineffective add-ons in the i-1-th time period; The energy consumption of the i-th time period is denoted as: wherein, represents the energy consumption of the i-th time period; represents the destruction loss under the unit of ineffective additional product; represents the storage loss under the unit of ineffective additional product; for any time period, the energy consumption is less than after completing the total production of product demand of the target project and the ineffective additional product is completely destroyed, the target project is ended. The system automatically forms a plurality of groups of processing work orders, obtains the total energy of each group of processing work orders in all time periods in the target project, and takes the maximum value of the total energy as an output work order and feeds back to the administrator port. 2.The data processing method based on the integrated energy smart management platform according to claim 1, characterized in that: The S1 comprises: Step S1-1: the comprehensive energy intelligent management platform reads the target project data input by the administrator, sorts out the time data required by the target project, determines the time cutoff node of the target project in the comprehensive energy intelligent management platform based on the time data required by the target project, and outputs the energy supply duration of the target project at the time cutoff node; Step S1-2: the administrator manually allocates energy weight for the target project on the comprehensive energy intelligent management platform, outputs the total energy index data, and marks the authority cutoff time of the total energy index data on the energy supply duration. 3.The data processing method based on the integrated energy smart management platform according to claim 2, characterized in that: The S2 comprises: Step S2-1: based on the product demand of the target project, calling the energy consumption under unit product production of the target project in the historical database, comprising: marking the energy consumption of unit product of the target project in the historical database, and taking the average value as the called energy consumption under unit product production of the target project; Step S2-2: based on the energy consumption under unit product production of the target project and the total product demand of the target project, calculating the total energy consumption of the target project, based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feedback to the administrator port for alarm. 4.The data processing method based on the integrated energy smart management platform according to claim 3, characterized in that: The step S3 comprises: Step S3-1: obtaining invalid additional product data in the production process of the target project in the production process of the historical database, the invalid additional product data including the number of invalid additional products and the production quantity of the product of the target project; Step S3-2: write the invalid additional product data of each group into a data set wherein, indicates the product production quantity of the target project, indicates the quantity of invalid additional products, and the prediction model is constructed to form a logical relationship between the product production quantity of the target project and the quantity of invalid additional products, and specifically includes: Linear regression equations were formed for all data sets, and the regression coefficients were calculated using the least squares method , and the logical relationship is wherein represents the constant term.

5. A data processing system based on a comprehensive energy smart management platform, using the data processing method based on a comprehensive energy smart management platform according to claim 1, characterized in that: The system comprises: A total energy index data module for outputting a real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project; A real-time energy consumption statistical module for obtaining a total product demand of the target project, calculating energy consumption based on the total product demand of the target project, and obtaining real-time energy consumption under unit product production; An invalid additional product prediction module for forming a prediction model based on invalid additional product data in the production process of the product of the target project, and outputting invalid additional product prediction data under different total production of the product; A work order management module for obtaining storage loss and destruction loss under unit invalid additional product, forming a processing work order of the target project based on the invalid additional product prediction data, and feeding back to an administrator port. 6.The data processing system based on the integrated energy smart management platform according to claim 5, characterized in that: The total energy index data module further comprises: the comprehensive energy intelligent management platform reads target project data input by an administrator, sorts out time data required by the target project, determines a time cutoff node of the target project in the comprehensive energy intelligent management platform based on the time data required by the target project, and outputs energy supply duration of the target project at the time cutoff node; the administrator manually allocates energy weight for the target project on the comprehensive energy intelligent management platform, outputs total energy index data, and marks the authority cutoff time of the total energy index data on the energy supply duration. 7.The data processing system based on the integrated energy smart management platform according to claim 6, characterized in that: The real-time energy consumption statistical module further comprises: based on the product demand of the target project, calling energy consumption under unit product production of the target project in the historical database, including: marking energy consumption of unit product of the target project in the historical database, taking the average value as the called energy consumption under unit product production of the target project; based on the energy consumption under unit product production of the target project and the total product demand of the target project, calculating the total energy consumption of the target project, based on the total energy consumption divided by the real-time total energy consumption index of the comprehensive energy intelligent management platform applied to the target project, if the formed data is less than the data difference value between the time cutoff node and the current time node, feeding back to the administrator port for alarm. 8.The data processing system based on the integrated energy smart management platform according to claim 6, characterized in that: The storage loss refers to energy consumption when unit invalid additional product is stored, and the destruction loss refers to energy consumption when unit invalid additional product is destroyed.

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