CN117350595A - Electrification potential evaluation method, device and equipment compatible with incomplete energy utilization data - Google Patents
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Abstract
The invention discloses an electrification potential evaluation method, device and equipment compatible with incomplete energy utilization data, wherein the method comprises the following steps: constructing an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the area where the enterprise to be evaluated is located; constructing an electrification potential evaluation model according to the enterprise big data set, wherein the electrification potential evaluation model is used for evaluating the electrification potential of an enterprise to be evaluated; incomplete energy utilization data of an enterprise to be evaluated are obtained; and carrying out electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data to obtain an electrification potential evaluation result of the enterprise to be evaluated. According to the method, only partial energy utilization data of the enterprise can be used, and a more accurate enterprise electrification potential evaluation result can be obtained quickly and efficiently, so that the evaluation difficulty and cost of the enterprise are greatly reduced, and the energy management, energy conservation and carbon reduction of the enterprise are facilitated.
Description
Technical Field
The invention relates to the technical field of electrification evaluation, in particular to an electrification potential evaluation method, device and equipment compatible with incomplete energy utilization data.
Background
Enterprises are faced with active and passive carbon reduction pressures as important carriers for energy consumption. At present, even if a plurality of enterprises have carbon reduction will, the rupture port is difficult to find, and the difficulty is that the self energy consumption is unclear, the self carbon emission is difficult to calculate, the construction capability of a carbon reduction technical solution is lacking, and the like. The electrification replacement is an important carbon reduction means for enterprises, the application range is wide, the effect is obvious, and the electrification potential evaluation is a necessary front-end work of the means.
For partial small enterprises, slow enterprises with industrial Internet transformation, high-cost sensitive enterprises and the like, the problems of incomplete energy monitoring, incomplete energy consumption, incomplete digitization and the like exist, so that incomplete enterprise energy consumption data is caused, and greater difficulty is brought to the electrified potential replacement evaluation of the enterprises. Therefore, when an enterprise carries out electrification potential evaluation, the enterprise usually faces the problems of incomplete data, large model error, complex presentation form, lack of digital functions and the like, and the technical threshold of the evaluation is high, the implementation difficulty is high, and the cost is high. The prior art lacks a fast and efficient enterprise electrification potential assessment scheme with a digital function and low cost.
Disclosure of Invention
The invention aims to provide an electrification potential evaluation method, device and equipment compatible with incomplete energy consumption data, so as to solve the technical problem that an enterprise electrification potential evaluation scheme which is rapid and efficient, has a digital function and is low in cost is lacking in the prior art.
The aim of the invention can be achieved by the following technical scheme:
the first scheme is an electrification potential evaluation method compatible with incomplete energy utilization data, comprising the following steps:
constructing an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
constructing an electrified potential evaluation model according to the enterprise big data set, wherein the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated;
obtaining incomplete energy consumption data of the enterprise to be evaluated;
and carrying out electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data to obtain an electrification potential evaluation result of the enterprise to be evaluated.
Optionally, the method further comprises:
and visually displaying the electrification potential evaluation result.
Optionally, the method further comprises:
and carrying out interactive inquiry according to the electrification potential evaluation result, and carrying out visual display on the inquiry result.
Optionally, the constructing the electrification potential evaluation model according to the enterprise big data set includes:
dividing the enterprise big data set into a training set and a testing set, training a plurality of preset algorithm models by using the training set, and testing the trained algorithm models by using the testing set to obtain the trained algorithm models;
and scoring the trained algorithm model according to a preset scoring standard, and taking the trained algorithm model with the highest score as an electrification potential evaluation model.
Optionally, the algorithm model includes at least:
linear regression model, ridge regression model, random forest model, support vector machine model, gradient enhancement tree model, and neural network model.
Optionally, the preset target data includes:
the pre-marked comprehensive energy consumption data, the total electrification potential evaluation value and the current electrification potential evaluation value.
Optionally, the obtaining incomplete energy consumption data of the enterprise to be evaluated includes:
and acquiring incomplete energy utilization data of the enterprise to be evaluated by using a terminal in communication connection with the enterprise to be evaluated.
Scheme II, compatible incomplete energy consumption data's electrified potential evaluation device includes:
the large data set construction module is used for constructing an enterprise large data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
the model construction module is used for constructing an electrified potential evaluation model according to the enterprise big data set, and the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated;
the data acquisition module is used for acquiring incomplete energy utilization data of the enterprise to be evaluated;
and the potential evaluation module is used for evaluating the electrified potential of the enterprise to be evaluated according to the electrified potential evaluation model and the incomplete energy consumption data to obtain an electrified potential evaluation result of the enterprise to be evaluated.
In a third aspect, a computer device includes a memory storing a computer program and a processor implementing the steps of the first aspect when executing the computer program.
In a fourth aspect, a computer readable storage medium has stored thereon a computer program which, when executed by a processor, performs the steps of the first aspect.
The invention provides an electrification potential evaluation method, device and equipment compatible with incomplete energy utilization data, wherein the method comprises the following steps: constructing an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located; constructing an electrified potential evaluation model according to the enterprise big data set, wherein the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated; obtaining incomplete energy consumption data of the enterprise to be evaluated; and carrying out electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data to obtain an electrification potential evaluation result of the enterprise to be evaluated.
Based on the technical scheme, the invention has the beneficial effects that:
and obtaining an enterprise large data set according to the data of a plurality of related enterprises, constructing an electrified potential evaluation model, and inputting incomplete energy utilization data of the enterprise to be evaluated into the electrified potential evaluation model to obtain a corresponding electrified potential evaluation result. The electrification potential evaluation model provided by the invention has higher elasticity and fault-tolerant space, can be compatible with the condition that the enterprise energy data is incomplete, can rapidly and efficiently obtain more accurate enterprise electrification potential evaluation results only according to partial enterprise energy data, and provides the enterprise with as accurate evaluation service as possible.
Compared with the traditional electrified potential evaluation mode of expert consultation or enterprise consultation mode, the invention can be implemented in a digital mode, and is convenient to implement and manage. When the method is actually applied to enterprise users, the electrified potential evaluation service of the enterprise can be quickly and efficiently realized only by installing a terminal on the enterprise, and the method is convenient and quick in implementation, so that the difficulty of the implementation of electrified potential evaluation of the enterprise is greatly reduced, the cost of the electrified potential evaluation of the enterprise is greatly reduced, the energy management, energy conservation and carbon reduction of the enterprise are facilitated, and technical support is provided for low-carbon transformation of the enterprise.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of the method of the present invention;
FIG. 2 is a schematic flow chart of a second embodiment of the method of the present invention;
fig. 3 is a schematic structural view of an embodiment of the device of the present invention.
Detailed Description
The embodiment of the invention provides an electrification potential evaluation method, device and equipment compatible with incomplete energy consumption data, which are used for solving the technical problem that an enterprise electrification potential evaluation scheme with a rapid and efficient function, a digital function and low cost is lacking in the prior art.
In order that the invention may be readily understood, a more complete description of the invention will be rendered by reference to the appended drawings. Preferred embodiments of the present invention are shown in the drawings. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
When an enterprise evaluates the electrification potential, the enterprise generally adopts a manual mode, few companies doing the field professionally do little work digitally, the technical threshold of evaluation is high, and the cost is high. Even if the method is manually performed, the problems of incomplete data, large model errors and the like are often faced, and the evaluation implementation difficulty is high. The evaluation results in the prior art are usually presented in a form of a form printing file or a report, and the presentation form is complex; lack of digital display functionality.
Referring to fig. 1, the present invention provides a first embodiment of an electrification potential evaluation method compatible with incomplete utilization data, including:
s100: constructing an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
s200: constructing an electrified potential evaluation model according to the enterprise big data set, wherein the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated;
s300: obtaining incomplete energy consumption data of the enterprise to be evaluated;
s400: and carrying out electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data to obtain an electrification potential evaluation result of the enterprise to be evaluated.
The electrification potential evaluation method compatible with incomplete energy consumption data provided by the embodiment of the invention can be widely applied to the fields of enterprise electrification potential evaluation, enterprise electrification, enterprise carbon reduction and the like.
It should be noted that, in general, the method provided by the embodiment of the present invention can be implemented by pure software and soft-hard combination, and the BS architecture and the CS architecture can implement the method, which has no special requirements on the programming language and the underlying operating system, and the core model recommends implementation by Python.
It should be noted that, in part, the expert in the field may achieve the same effect by using a combination of various existing products and manual analysis, for example, by using weather office data, enterprise information disclosure data, homerPro software, IES isn software, etc. in combination, the effect of the embodiments of the present invention may be approximately achieved. The method for combining and using various open source software and data sources belongs to the protection scope of the invention.
In step S100, an enterprise big data set is constructed according to the basic information, electricity consumption data, energy consumption data, environmental information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the area where the enterprises to be evaluated are located.
Specifically, building the enterprise big dataset includes: the method comprises the steps of constructing an enterprise basic information big database, an enterprise electricity utilization data big database, an enterprise natural environment information big database, an energy consumption data big database from the Internet, namely an enterprise energy utilization data big database, and an enterprise preset target data big database. Wherein the enterprise target data comprises: the pre-marked comprehensive energy consumption data, the total electrification potential evaluation value and the current electrification potential evaluation value. The comprehensive energy consumption data is enterprise comprehensive energy consumption data, the total electrification potential evaluation value (MWh/year) is the current electrification potential evaluation value (MWh/year) of economic science.
The total value of the electrification potential evaluation (MWh/year) means: when enterprises use electric energy to replace non-electric energy, new consumed electric energy is needed each year.
The method for constructing the enterprise basic information big database mainly comprises the following steps: collecting an integration target area (an area where an enterprise to be evaluated is located) and enterprises in the same industry at home and abroad, and determining a plurality of related enterprises of the enterprise to be evaluated; the enterprise base information related data of the related enterprise may include, for example, enterprise base information such as enterprise name, credit code, date of establishment, business deadline, registration status, registration authority, type, registered capital, stakeholder structure, industry, legal risk situation data, and the like. Meanwhile, the nonstandard data are subjected to standardized processing, so that the nonstandard data can become a part of an enterprise basic information large database, and the obtained enterprise basic information large database is used as a part of a data set and can be supported to be input into an algorithm model of a later algorithm training link.
It should be noted that, when obtaining the enterprise base information of the relevant enterprise, the available data channels may include the public data query on the relevant supervision platform, which is willing to participate in the self-provision of the enterprise for demonstration. Industry classification data may be made and standardized with reference to national standards.
Other types of enterprise related data, such as enterprise electricity data, are the same in the process of data standardization, and are not described in detail.
The method for constructing the enterprise electricity consumption data large database mainly comprises the following steps of: the collection and arrangement of the power consumption data of the plurality of related enterprises can comprise the power consumption information such as the capacity of the affiliated transformer station, whether the affiliated transformer station has a private transformer, the total capacity of the private transformer, the energy efficiency level, the average power consumption price and the like.
It should be noted that, the enterprise electricity consumption data of the related enterprises can be provided by the enterprises participating in demonstration, or provided after being authorized and desensitized by the local electric company, or collected by the enterprise additionally provided with the sensor.
The method for constructing the enterprise natural environment information big database mainly comprises the following steps: the natural environment related data of a plurality of related enterprises are collected and organized, and for example, the natural environment related data can comprise the geographical position of the enterprises, the building area of the enterprises, weather data (including temperature, humidity, wind speed, rainfall and the like) of the area after 3 years, holiday data, other non-working day data, cooling and heating season data and other environmental information.
When a large database of natural environment information is constructed, natural environment information of enterprises needs to be acquired, wherein the geographic positions and the building areas of related enterprises can be obtained from public data on related supervision platforms; meteorological data can be obtained from a relevant Internet public platform; holiday and non-workday data may be obtained on a legal holiday basis by participating in modeling analysis of exemplary enterprise offerings or energy consumption data.
The method for constructing the large database of the energy consumption data from the Internet, namely the large database of the enterprise energy consumption data, mainly comprises the following steps: the collection and arrangement of the energy consumption related data of the plurality of related enterprises may include, for example, information such as recent harvest data, profit data, environmental protection investment amount, comprehensive harvest energy, electricity consumption intensity, natural gas consumption intensity, water resource consumption intensity, process keywords, employee training rate, and the like.
It should be noted that, the energy consumption data from the internet may be provided by enterprises participating in demonstration. For the marketing companies to analyze the disclosure data, some organizations also provide relevant data sources such as IEA, and may also cooperate with local energy suppliers to obtain desensitized data.
For data with insufficient granularity, the data can be obtained by various modes such as direct provision, sensor adding, energy supplier or supervision part authorization of enterprises participating in demonstration.
The method for constructing the enterprise preset target data big database mainly comprises the following steps: (1) constructing a comprehensive energy consumption data large database; (2) constructing a large database of electrification potential evaluation total values; and (3) constructing a large database of current electrification potential evaluation values.
Specifically, constructing a large database of comprehensive energy consumption data mainly comprises: the energy consumption data of a plurality of related enterprises are constructed and manually marked in a manner of expert evaluation, enterprise administrator analysis, assistance of regional energy suppliers or supervision parts and the like, and for example, the information such as enterprise power month consumption data, enterprise fire coal month consumption data, enterprise gas month consumption data, enterprise oil month consumption data, enterprise hydrogen energy month consumption data, enterprise external cold and hot month consumption data and the like in recent years can be included.
Specifically, the method for constructing the large database of the total electrification potential evaluation value and the large database of the current electrification potential evaluation value mainly comprises the following steps: the relevant columns of the big data set are manually calculated and marked through expert evaluation, and for example, the relevant columns can comprise total electrification potential evaluation data of an enterprise, electrification potential evaluation data of the enterprise which is economically feasible currently and the like.
The preset target data is target prediction data after the model is built and the actual service enterprises are result data. In the process of constructing the big data set, the evaluation method evaluates the data of the enterprise in the data set by combining the monitoring data and the related experience on the basis of referring to the related standards, specifications and calculation formulas at home and abroad by an expert.
It should be noted that, at present, no complete electrification substitution standard exists at home and abroad, so that an expert is generally used for evaluating enterprises in a large enterprise data set manually. There are a small number of energy conservation related criteria available for reference, for example, GB50189-2015 public building energy conservation design criteria.
In one embodiment, constructing the electrified potential assessment model from the enterprise big dataset includes:
dividing the enterprise big data set into a training set and a testing set, training a plurality of preset algorithm models by using the training set, and testing the trained algorithm models by using the testing set to obtain trained algorithm models;
and scoring the trained algorithm model according to a preset scoring standard, and taking the trained algorithm model with the highest score as an electrified potential evaluation model.
In one embodiment, the algorithm model includes at least:
linear regression model, ridge regression model, random forest model, support vector machine model, gradient enhancement tree model, and neural network model.
Specifically, dividing the enterprise big data set into a training set and a testing set, training the multiple algorithms by using the training set, and testing by using the testing set; scoring the models corresponding to different algorithms to obtain scoring data corresponding to each model; the highest scoring model is used as the final electrified potential assessment model, and scoring data can be sent to a user for reference.
At present, a plurality of programming languages and open source libraries can realize what is described in the claims, and Python is taken as an example, and training and generating of various algorithm models can be realized based on the PyTorch open source library.
After the electrification potential evaluation model is generated, the electrification potential evaluation model can be packaged in various modes to bear actual demands, such as CS architecture and BS architecture. The model can be loaded on a cloud server (cloud server) or built in an evaluation terminal (edge calculation) according to requirements.
In step S300, incomplete energy consumption data of the enterprise to be evaluated is obtained.
In one embodiment, incomplete usage data of an enterprise under evaluation is obtained using a terminal in communicative connection with the enterprise under evaluation.
Specifically, a terminal is installed on the enterprise user side and can be called as an electrification potential evaluation terminal, the terminal can be a tablet personal computer, an intelligent screen, an intelligent gateway, a server, a computer and other devices, and system software of the terminal can be realized by a BS or CS architecture. The installation of the terminal has no special requirement and can comprise the modes of wall hanging, station installation or large screen installation and the like.
The terminal can be compatible with multiple types of energy data input, multiple communication protocols, multiple data preprocessing modes and multiple model calling modes. Common data source inputs may include: RJ45, USB, etc.; the common communication protocols supported may include: TCP/IP, HTTP, modbus, IEC61850, IEC104, etc.; the data preprocessing mode can comprise ammeter mapping management, threshold setting, missing value complement and the like.
After the terminal is installed, enterprise users can access one or more kinds of energy consumption data (only including partial energy consumption data, which is incomplete energy consumption data) to the terminal, and after the terminal is accessed, the terminal automatically processes the input incomplete energy consumption data and regularly invokes an electrified potential evaluation model to evaluate the electrified potential of the enterprise to be evaluated, so as to obtain an electrified potential evaluation result corresponding to the enterprise to be evaluated.
In step S400, the electrification potential evaluation is performed on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data, so as to obtain an electrification potential evaluation result of the enterprise to be evaluated.
Specifically, on the basis of acquiring incomplete energy utilization data of enterprise users, the obtained electrification potential evaluation model is called to obtain the electrification potential analysis result of the enterprise, so that most of enterprise situations in reality are compatible, and the electrification potential of the enterprise can be evaluated according to the incomplete energy utilization data of the enterprise users.
Further, if the enterprise is not satisfied with the electrification potential evaluation result, more energy data can be continuously supplemented, so that the electrification potential evaluation result is more accurate.
It should be noted that, the steps S100 and S300 may be repeatedly performed, i.e. the electrification potential evaluation model may be retrained and upgraded according to feedback data of the enterprise. The feedback data of the enterprise users may support the upgrade process.
Specifically, taking a neural network algorithm as an example, the training and testing process mainly comprises:
(1) Data preprocessing
Establishing a single thermal code as shown in formula (1):
o=onehot ("process keyword", "geographical location"); (1)
Wherein, O is the matrix after encoding, for example, the process keyword_soaking pit sealing mud is prepared by soaking the pit bottom by tail wine: water production "," geographical location_Guiyang cloud rock area outer ring east Lu Dongshan lane 4 ", etc.
It should be noted that One-Hot Encoding (One Encoding) is a technique commonly used to represent classified data into a format that can be handled by a neural network. In one-hot encoding, each different class value is mapped to a unique integer index, and this index is then represented as a vector of length equal to the number of classes, with only one element set to 1 and the other elements set to 0. The position of this element set to 1 represents the position of the original classification value in the classification list.
And (3) carrying out data normalization processing: as shown in formula (2), for any particular column C, e.g. "2021-natural gas" or "registered capital":
wherein C is norm Representing the normalized value of column C; max (C) represents the maximum value of column C; min (C) represents the minimum value of column C.
Data complement is performed on incomplete energy utilization data: for incomplete energy consumption data of enterprise users, filling the median, average or mode of the corresponding values with industry unit productivity or basic electricity consumption, and complementing the input incomplete data, for example, the industry average value of 'electricity consumption/ten thousand yuan revenue' existing in the brewing industry, and calculating the electricity consumption based on the revenue.
(2) Defining a neural network algorithm model:
it is assumed that the input data X is composed of all columns except "current economically viable electrification potential (MWh)". The output H of the hidden layer depends on the weight W1 and the bias b1.
^
The predicted output y is a model prediction of the "current economically viable electrified potential (MWh)".
(3) Loss function:
the true value y is the column of "current economically viable electrification potential (MWh)".
The calculated Mean Square Error (MSE) is shown in equation (3):
(4) Model optimization:
the loss function is minimized using, for example, a gradient descent method, and the weights W and offsets b of the model are updated.
(5) And (3) predicting:
for a given test data X test All columns except the "current economically viable electrified potential (MWh)" column, the predicted output of the model is
The electrification potential analysis result obtained by the electrification potential evaluation model can be classified and managed according to different algorithms, different marks are carried out on input data, intermediate results and final result data, and the output result specification of the electrification potential evaluation model is ensured to be orderly.
In one embodiment, further comprising: and visually displaying the electrification potential evaluation result.
In another embodiment, the method further comprises: and carrying out interactive inquiry according to the electrification potential evaluation result, and carrying out visual display on the inquiry result.
Specifically, the output result of the model can be intelligently displayed through a built-in BI system of the terminal, and user interaction is provided, including the functions of graphic display, table structure display, original data query, data comparison and the like of the main query stream. The built-in BI can be compatible with data under a standard structure, so that model upgrading is realized, and after the output data structure of the model is changed, the terminal can still display and provide user interaction correctly.
Further, the need for electrification potential assessment results can be achieved in a variety of ways. The electrification potential evaluation result presentation and interaction can be realized by using an ECharts open source library; in addition, the data management and BI data model can be realized through a custom data protocol, and the embodiment of the invention provides a sample design based on a JSON format, which is as follows:
according to the electrification potential evaluation method compatible with incomplete energy consumption data, which is provided by the embodiment of the invention, an enterprise large data set is obtained according to the data of a plurality of related enterprises, an electrification potential evaluation model is built, and the incomplete energy consumption data of the enterprise to be evaluated is input into the electrification potential evaluation model to obtain a corresponding electrification potential evaluation result. The electrification potential evaluation model provided by the invention has higher elasticity and fault-tolerant space, can be compatible with the condition that the enterprise energy data is incomplete, can rapidly and efficiently obtain more accurate enterprise electrification potential evaluation results only according to partial enterprise energy data, and provides the enterprise with as accurate evaluation service as possible.
Compared with the electrified potential evaluation mode of the traditional expert consultation or enterprise consultation mode, the embodiment of the invention can be implemented in a digital mode, and is convenient to implement and manage. When the method is actually applied to enterprise users, the electrified potential evaluation service of the enterprise can be quickly and efficiently realized only by installing a terminal on the enterprise, and the method is convenient and quick in implementation, so that the difficulty of the implementation of electrified potential evaluation of the enterprise is greatly reduced, the cost of the electrified potential evaluation of the enterprise is greatly reduced, the energy management, energy conservation and carbon reduction of the enterprise are facilitated, and technical support is provided for low-carbon transformation of the enterprise.
Referring to fig. 2, a second embodiment of an electrification potential evaluation method compatible with incomplete utilization data according to an embodiment of the present invention includes:
constructing a big data set required by evaluation, training and optimizing by utilizing the big data set, and constructing an enterprise electrification potential evaluation big data model;
installing an enterprise electrification potential evaluation terminal to acquire incomplete energy utilization data of an enterprise;
and carrying out electrification potential evaluation on the enterprise by utilizing the enterprise electrification potential evaluation big data model to obtain an evaluation result.
The embodiment can be applied to the fields of enterprise electrification potential evaluation, enterprise electrification and enterprise carbon reduction, and mainly comprises two parts: and constructing an enterprise electrification potential evaluation big data model and an enterprise electrification potential evaluation terminal.
Referring to fig. 2, constructing the enterprise electrification potential evaluation big data model includes: inputting 01-constructing an enterprise basic information big database, inputting 02-constructing a natural environment big database, inputting 03-constructing an enterprise power consumption big database, inputting 04-constructing an energy consumption data big database from the Internet, (artificial mark) target data 01-enterprise comprehensive energy consumption data, (artificial mark) target data 02-total electrification potential value (MWh/year), and current economic science electrification potential value (MWh/year); training model-algorithm: linear regression, ridge regression, random forest, support vector machine, gradient enhancement tree, neural network and the like, thereby obtaining an electrified potential evaluation model compatible with incomplete energy utilization data of enterprise users.
Specifically, the processing procedure of the enterprise electrification potential evaluation terminal mainly comprises the following steps: installing an enterprise electrification potential evaluation terminal, and collecting partial energy data of enterprise users; and the access terminal obtains the enterprise electrification potential analysis result, and performs visual inquiry and interaction through the enterprise electrification potential evaluation terminal.
The embodiment realizes the construction of a big data set by using the enterprise, the Internet and target data manually marked by experts; training by using a plurality of big data algorithms, and constructing an optimal solution model; and the system is compatible with incomplete energy utilization data of enterprise users and provides electrification potential evaluation service.
The core thought of the embodiment of the invention is as follows: firstly, a big data set is constructed, then the big data model is obtained through training and tuning of the data set, a service terminal and application are constructed, and finally, electrification potential evaluation service is provided for enterprise users.
Meanwhile, the embodiment of the invention uses the enterprise, the Internet and the expert to manually label the data, so as to realize the construction of the big data set; training by using a plurality of big data algorithms, and constructing an optimal solution model; and the system is compatible with incomplete energy utilization data of enterprise users, provides electrification potential evaluation service and the like. The invention can effectively support enterprises to develop electrification potential evaluation work with low cost and high efficiency, provides practical support for low-carbon transformation of enterprises, and provides a assistance for accelerating carbon reduction, pollution reduction and sustainable development.
The invention can effectively support enterprises to develop electrification potential evaluation work with low cost and high efficiency, provides practical support for low-carbon transformation of enterprises, and provides a assistance for accelerating carbon reduction and pollution reduction and sustainable development.
The embodiment of the invention has the following advantages:
(1) Digitization: compared with the electrified potential evaluation of the traditional expert consultation or enterprise consultation mode, the method can be implemented in a digital mode, and is convenient to implement and manage.
(2) More efficient: after the terminal is ready, when the terminal is actually implemented for enterprise users, the service can be realized by only installing one terminal under the condition of the simplest enterprise users, the technical threshold requirement is avoided, and the carbon reduction threshold of the enterprise is greatly reduced.
(3) Lower cost: compared with electrified replacement potential evaluation provided by consultation service, the method does not need one-to-one expert, is convenient to implement, and has lower labor cost and time cost.
(4) The compatibility is higher: the big data model has certain elasticity, the data is about detailed, and the evaluation result is more accurate; but is compatible with most cases where the enterprise data is incomplete, and also provides as accurate an assessment service as possible.
Referring to fig. 3, the present invention also provides an embodiment of an electrified potential assessment device compatible with incomplete usage data, comprising:
the big data set construction module 11 is configured to construct an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
a model building module 22, configured to build an electrification potential evaluation model according to the enterprise big data set, where the electrification potential evaluation model is used to evaluate the electrification potential of the enterprise to be evaluated;
a data acquisition module 33, configured to acquire incomplete energy consumption data of the enterprise to be evaluated;
and the potential evaluation module 44 is configured to perform electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data, so as to obtain an electrification potential evaluation result of the enterprise to be evaluated.
According to the electrification potential evaluation device compatible with incomplete energy consumption data, which is provided by the embodiment of the invention, an enterprise large data set is obtained according to the data of a plurality of related enterprises, an electrification potential evaluation model is built, and the incomplete energy consumption data of the enterprise to be evaluated is input into the electrification potential evaluation model to obtain a corresponding electrification potential evaluation result. The electrification potential evaluation model provided by the invention has higher elasticity and fault-tolerant space, can be compatible with the condition that the enterprise energy data is incomplete, can rapidly and efficiently obtain more accurate enterprise electrification potential evaluation results only according to partial enterprise energy data, and provides the enterprise with as accurate evaluation service as possible.
Compared with the electrified potential evaluation mode of the traditional expert consultation or enterprise consultation mode, the embodiment of the invention can be implemented in a digital mode, and is convenient to implement and manage. When the method is actually applied to enterprise users, the electrified potential evaluation service of the enterprise can be quickly and efficiently realized only by installing a terminal on the enterprise, and the method is convenient and quick in implementation, so that the difficulty of the implementation of electrified potential evaluation of the enterprise is greatly reduced, the cost of the electrified potential evaluation of the enterprise is greatly reduced, the energy management, energy conservation and carbon reduction of the enterprise are facilitated, and technical support is provided for low-carbon transformation of the enterprise.
The invention also provides an embodiment of the computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the method when executing the computer program.
Furthermore, the invention provides an embodiment of a computer-readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the steps of the method.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. The electrification potential evaluation method compatible with incomplete energy utilization data is characterized by comprising the following steps of:
constructing an enterprise big data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
constructing an electrified potential evaluation model according to the enterprise big data set, wherein the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated;
obtaining incomplete energy consumption data of the enterprise to be evaluated;
and carrying out electrification potential evaluation on the enterprise to be evaluated according to the electrification potential evaluation model and the incomplete energy consumption data to obtain an electrification potential evaluation result of the enterprise to be evaluated.
2. The method for electrified potential assessment of incomplete utilization data compatibility according to claim 1, further comprising:
and visually displaying the electrification potential evaluation result.
3. The method for electrified potential assessment of incomplete utilization data compatibility according to claim 1, further comprising:
and carrying out interactive inquiry according to the electrification potential evaluation result, and carrying out visual display on the inquiry result.
4. The method of claim 1, wherein constructing an electrified potential assessment model from the enterprise big dataset comprises:
dividing the enterprise big data set into a training set and a testing set, training a plurality of preset algorithm models by using the training set, and testing the trained algorithm models by using the testing set to obtain the trained algorithm models;
and scoring the trained algorithm model according to a preset scoring standard, and taking the trained algorithm model with the highest score as an electrification potential evaluation model.
5. The method for electrified potential assessment compatible with incomplete utilization data according to claim 4, wherein the algorithm model comprises at least:
linear regression model, ridge regression model, random forest model, support vector machine model, gradient enhancement tree model, and neural network model.
6. The method for evaluating electrified potential for incomplete utilization data compatibility according to claim 1, wherein the preset target data comprises:
the pre-marked comprehensive energy consumption data, the total electrification potential evaluation value and the current electrification potential evaluation value.
7. The method for electrified potential assessment of incomplete energy consumption data compatibility according to claim 1, wherein the obtaining the incomplete energy consumption data of the enterprise under assessment comprises:
and acquiring incomplete energy utilization data of the enterprise to be evaluated by using a terminal in communication connection with the enterprise to be evaluated.
8. An electrified potential assessment device compatible with incomplete energy utilization data, comprising:
the large data set construction module is used for constructing an enterprise large data set according to basic information, electricity consumption data, energy consumption data, environment information and preset target data of a plurality of related enterprises; the related enterprises are enterprises in the same industry at home and abroad in the region where the enterprise to be evaluated is located;
the model construction module is used for constructing an electrified potential evaluation model according to the enterprise big data set, and the electrified potential evaluation model is used for evaluating the electrified potential of the enterprise to be evaluated;
the data acquisition module is used for acquiring incomplete energy utilization data of the enterprise to be evaluated;
and the potential evaluation module is used for evaluating the electrified potential of the enterprise to be evaluated according to the electrified potential evaluation model and the incomplete energy consumption data to obtain an electrified potential evaluation result of the enterprise to be evaluated.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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