CN112085326A - Energy consumption management method and equipment - Google Patents
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Abstract
The invention discloses an energy consumption management method and equipment, wherein the method comprises the following steps: acquiring energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information; receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis; and displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database, so that the energy consumption management efficiency is improved, and the energy consumption information is analyzed in real time.
Description
Technical Field
The present disclosure relates to the field of energy, and more particularly, to a method and an apparatus for energy consumption management.
Background
The low-carbon energy-saving environment-friendly energy-saving system has become a wide consensus in the current society, but people in the prior art do not well monitor and manage energy sources, so that the real energy-saving environment-friendly effect is realized, especially large enterprises consume huge total amount of energy sources daily, and if the monitoring and the management are not well carried out, huge waste of resources is caused.
In the prior art, the following defects exist: the operation and maintenance personnel and equipment are numerous, effective controllable visual means and management means and methods are not available, the management difficulty is high, the traditional energy consumption management seriously depends on manual recording, the analysis is carried out through the manually recorded data, time and labor are consumed, and the analysis result is also inaccurate.
Therefore, how to improve the energy consumption management efficiency and analyze the energy consumption information in real time is a technical problem to be solved at present.
Disclosure of Invention
The invention provides an energy consumption management method, which is used for solving the technical problems that in the prior art, energy consumption management depends on manual recording seriously and an analysis result is inaccurate, and comprises the following steps:
acquiring energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information;
receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis;
and displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database.
In some embodiments, performing the energy consumption analysis according to the energy consumption parameter information further includes:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
In some embodiments, the energy consumption analysis result is determined based on the energy consumption graph, specifically:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
In some embodiments, the receiving of the energy consumption analysis request by the user specifically includes:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
In some embodiments, the method further comprises:
and recording and classifying the energy consumption parameter information and the early warning information at preset intervals, and storing the energy consumption parameter information and the early warning information into a database.
Correspondingly, the invention also provides an energy consumption management device, which comprises:
the acquisition module acquires energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information;
the analysis module receives an energy consumption analysis request of a user and performs energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis;
and the display module is used for displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result and storing the electronic file into a database.
In some embodiments, the analysis module is specifically configured to:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
In some instances, the analysis module is specifically configured to:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
In some embodiments, the analysis module is specifically configured to:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
In some embodiments, the apparatus further comprises:
and the storage module is used for recording and classifying the energy consumption parameter information and the early warning information at intervals of preset time and storing the energy consumption parameter information and the early warning information into a database.
The application has the following technical effects:
the invention discloses an energy consumption management method and equipment, wherein the method comprises the following steps: acquiring energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information; receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis; displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database, so that the energy consumption management efficiency is improved, the energy consumption information is analyzed in real time, and meanwhile, the user information in the energy consumption analysis request is obtained; acquiring authority information corresponding to the user information based on a preset authority table in a database; and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user, thereby preventing the leakage of the energy consumption information.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic flow chart illustrating an energy consumption management method according to an embodiment of the present invention;
fig. 2 is a schematic flow chart of an energy consumption management method in another embodiment of a specific application scenario of the present invention;
fig. 3 shows a schematic structural diagram of an energy consumption management device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
As described in the background art, in the prior art, there are many operation and maintenance personnel and equipment, there is no effective controllable visual means, there is no effective management means and method, and the management difficulty is very high, and the traditional energy consumption management depends heavily on manual recording, and the analysis is performed through the manually recorded data, which not only consumes time and labor, but also makes the analysis result inaccurate.
In order to solve the above problem, an embodiment of the present application provides an energy consumption management method, which collects energy consumption parameter information in real time, where the energy consumption parameter information includes: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information; receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis; and displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database.
Fig. 1 is a schematic flow chart of an energy consumption management method according to an embodiment of the present invention, which includes the following steps:
s101, collecting energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information.
Specifically, the energy consumption parameter information is collected in real time, and can be collected once in a preset time interval, or can be continuously collected all the time, and for accurately collecting the energy consumption parameter information, corresponding mutual inductors, intelligent instruments, temperature controllers, sensors and detectors matched with professions, communication transmission devices and other equipment devices can be installed on the site, and the energy consumption parameter information includes: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information. The power factor is the ratio of active power to apparent power of an alternating current circuit, the higher the value is, the better the benefit is when electrical equipment is under a certain voltage and power, harmonic waves are distortion of current waveforms in alternating current, and the generation of the harmonic waves can reduce the working efficiency of power transmission and electric equipment. In the preferred embodiment of the present application, the specific parameters included in the energy consumption parameter information all affect the energy consumption of the device, so that the parameters need to be accurately obtained before analyzing the energy consumption of the device.
And S102, receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis.
Specifically, when a user wants to know the energy consumption of the equipment, an energy consumption analysis request can be actively provided, and after the energy consumption analysis request of the user is received, energy consumption analysis can be performed according to energy consumption parameter information acquired in real time, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis. The transformer loss mainly comprises no-load loss and short-circuit loss which can be obtained through analysis and calculation of energy consumption parameter information, the energy quality refers to the quality of electric energy in an electric power system, the ideal electric energy is a perfectly symmetrical sine wave, a periodic load is load change in a period, the load possibly exceeds a rated load in a certain period of time or is lower than the rated load in a certain period of time, various loads of equipment in the operation process can be comprehensively known through analysis of the periodic load, load in the later period can be predicted, energy prediction refers to prediction of future conditions of the demand of various energy sources and the proportional relation of the demand of the various energy sources, and the future energy consumption can be predicted through analysis of various energy consumption parameter information so as to adjust an energy consumption structure better.
In order to accurately perform energy consumption analysis, in a preferred embodiment of the present application, the performing energy consumption analysis according to the energy consumption parameter information further includes:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
Specifically, since the previously acquired energy consumption parameter information is stored in the database, historical energy consumption parameter information can be retrieved from the database, and then an energy consumption graph is generated according to the historical energy consumption parameter information and by combining the energy consumption parameter information acquired in real time. Preferably, the energy consumption graph can also generate a section of real-time energy consumption graph according to the query time of the user, then find corresponding historical energy consumption parameter information to generate a corresponding historical energy consumption graph, and then put the two energy consumption graphs together for comparative analysis. Specifically, which energy consumption curve graph is generated, the user can select according to actual needs, and other energy consumption curve graphs can be generated according to actual needs, which all belong to the protection scope of the present application.
It should be noted that the scheme of the above preferred embodiment is only a specific implementation scheme proposed in the present application, and other methods for performing energy consumption analysis based on the energy consumption parameter information all belong to the protection scope of the present invention.
In order to accurately and timely determine the energy consumption analysis result, in a preferred embodiment of the present application, the energy consumption analysis result is determined based on the energy consumption graph, specifically:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
Specifically, the data value in the energy consumption graph is in a normal range under normal energy consumption, in order to accurately determine whether the energy consumption is normal, the highest energy consumption value in the normal range is set as a first preset energy consumption threshold, and the lowest energy consumption value in the normal range is set as a second preset energy consumption threshold, preferably, the first preset energy consumption value and the second energy consumption value can be adjusted according to different use environments or updated and upgraded equipment. After the first preset energy consumption value and the second energy consumption value are set, the data in the energy consumption curve can be compared with the first preset energy consumption value and the second energy consumption value, when the data in the energy consumption curve exceeds a first preset energy consumption threshold value or is lower than a second preset energy consumption threshold value, the energy consumption analysis result is abnormal in energy consumption, early warning information is sent to a user, so that the user can timely respond, and when the data in the energy consumption curve does not exceed the first preset energy consumption threshold value or is lower than the second preset energy consumption threshold value, the energy consumption analysis result is normal in energy consumption and is sent to the user, so that the user can know the energy consumption result constantly.
It should be noted that the scheme of the above preferred embodiment is only a specific implementation scheme proposed in the present application, and other methods for performing energy consumption analysis based on the energy consumption parameter information all belong to the protection scope of the present invention.
In order to prevent the energy consumption data from leaking, in a preferred embodiment of the present application, an energy consumption analysis request of a user is received, specifically:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
Specifically, when receiving an energy consumption analysis request of a user, user information in the energy consumption analysis request is obtained first, where the user information may be a name of the user or a post name of the user, and these may be set according to actual conditions. The method comprises the steps that a preset authority table is arranged in a database, authority information corresponding to user information is arranged in the preset authority table, a user energy consumption analysis request is matched with the authority information corresponding to the user information in the preset authority table after the user information is obtained, if matching fails, the user does not have the authority of obtaining an energy consumption analysis result, the user energy consumption analysis request is refused at the moment, and if matching succeeds, the user energy consumption analysis request is received.
It should be noted that the scheme of the above preferred embodiment is only a specific implementation scheme provided by the present application, and other methods for acquiring the authority information corresponding to the user information based on the preset authority table in the database all belong to the protection scope of the present invention.
S103, displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database.
Specifically, after the energy consumption analysis result is obtained through the energy consumption analysis, the energy consumption analysis result is displayed to the user, preferably, the display result can be displayed to the user through a curve chart or a table and a text description, and the display result does not affect the protection range of the application. After the electronic file is displayed to the user, the electronic file is generated based on the energy consumption analysis result, and the electronic file is stored in the database.
In order to facilitate the user query analysis, in a preferred embodiment of the present application, the method further includes:
and recording and classifying the energy consumption parameter information and the early warning information at preset intervals, and storing the energy consumption parameter information and the early warning information into a database.
Specifically, energy consumption parameter information and the early warning information are recorded once every other preset time, preferably, the preset time can be set according to specific conditions, can be a day or a week, the protection range of the application is not affected, and after the recording, the energy consumption parameter information and the early warning information are classified and then stored in a database, so that subsequent searching is facilitated.
By applying the technical scheme, energy consumption parameter information is acquired in real time, and the energy consumption parameter information comprises the following steps: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information; receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis; and displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database, so that the energy consumption management efficiency is improved, and the energy consumption information is analyzed in real time.
In order to further illustrate the technical idea of the present invention, the technical solution of the present invention will now be described with reference to specific application scenarios.
Fig. 2 is a schematic flow chart of an energy consumption management method in another embodiment of the specific application scenario of the present invention, which includes the following steps:
s201, collecting energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information.
Specifically, the energy consumption parameter information is collected in real time, and can be collected once in a preset time interval, or can be continuously collected all the time, and for accurately collecting the energy consumption parameter information, corresponding mutual inductors, intelligent instruments, temperature controllers, sensors and detectors matched with professions, communication transmission devices and other equipment devices can be installed on the site, and the energy consumption parameter information includes: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information. In the preferred embodiment of the present application, the specific parameters included in the energy consumption parameter information all affect the energy consumption of the device, so that the parameters need to be accurately obtained before analyzing the energy consumption of the device.
And S202, receiving an energy consumption analysis request of a user.
Specifically, when the user wants to know the energy consumption of the device, the energy consumption analysis request can be actively made. In order to prevent energy consumption data from being leaked, preferably, when an energy consumption analysis request of a user is received, user information in the energy consumption analysis request is obtained first, a preset authority table is arranged in a database, authority information corresponding to each user information is arranged in the preset authority table, and when the authority information in the user information includes the energy consumption analysis request, the energy consumption analysis request of the user is received.
S203, acquiring historical energy consumption parameter information stored in the database.
Specifically, since the previously acquired energy consumption parameter information is stored in the database, the historical energy consumption parameter information can be retrieved from the database.
And S204, generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information.
Specifically, after historical energy consumption parameter information is called from a database, an energy consumption curve graph is produced according to the historical energy consumption parameter information and by combining the energy consumption parameter information obtained in real time.
And S205, judging whether the data in the energy consumption curve graph exceeds a first preset energy consumption threshold value.
Specifically, the highest energy consumption value in the normal range is set as a first preset energy consumption threshold, whether the data in the energy consumption graph exceeds the first preset energy consumption threshold is judged, if yes, step S208 is executed, and if not, step S206 is executed.
And S206, judging whether the data in the energy consumption curve graph is lower than a second preset energy consumption threshold value.
Specifically, the lowest energy consumption value in the normal range is set as a second preset energy consumption threshold, whether the data in the energy consumption graph is lower than the second preset energy consumption threshold is judged, if so, step S208 is executed, and if not, step S207 is executed.
And S207, sending early warning information to a user when the energy consumption analysis result is abnormal.
Specifically, when the data in the energy consumption graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, it is indicated that the energy consumption analysis result is abnormal in energy consumption, and early warning information is sent to a user so that the user can respond in time.
And S208, sending the energy consumption analysis result to a user when the energy consumption analysis result is that the energy consumption is normal.
Specifically, when the data in the energy consumption graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to the user, so that the user can know the energy consumption result all the time.
It should be noted that the above embodiment is only one implementation of the present application, and those skilled in the art can flexibly adjust the implementation sequence of steps S205 and S206 according to actual needs.
By applying the technical scheme, energy consumption parameter information is acquired in real time, and the energy consumption parameter information comprises the following steps: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information, receiving an energy consumption analysis request of a user, acquiring historical energy consumption parameter information stored in the database, generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information, when the data in the energy consumption graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, if the energy consumption analysis result is abnormal energy consumption, sending early warning information to a user, if the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold value or is lower than a second preset energy consumption threshold value, the energy consumption analysis result is normal energy consumption, sending the energy consumption analysis result to the user, therefore, the energy consumption management efficiency is improved, the energy consumption information is analyzed in real time, and the energy consumption is adjusted in time according to the analysis result.
In order to achieve the above technical object, an embodiment of the present application further provides an energy consumption management apparatus, as shown in fig. 3, the apparatus including:
the acquisition module 301 acquires energy consumption parameter information in real time, where the energy consumption parameter information includes: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information;
the analysis module 302 receives an energy consumption analysis request of a user, and performs energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis;
and the display module 303 is used for displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database.
In a specific application scenario of the present application, the analysis module is specifically configured to:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
In a specific application scenario of the present application, the analysis module is specifically configured to:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
In a specific application scenario of the present application, the analysis module is specifically configured to:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
In a specific application scenario of the present application, the apparatus further includes:
and the storage module is used for recording and classifying the energy consumption parameter information and the early warning information at intervals of preset time and storing the energy consumption parameter information and the early warning information into a database.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not necessarily depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.
Claims (10)
1. A method of energy consumption management, the method comprising:
acquiring energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information;
receiving an energy consumption analysis request of a user, and performing energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis;
and displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result, and storing the electronic file in a database.
2. The method of claim 1, wherein performing energy consumption analysis based on the energy consumption parameter information further comprises:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
3. The method according to claim 2, characterized in that energy consumption analysis results are determined based on the energy consumption profiles, in particular:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
4. The method according to claim 1, characterized by receiving a user energy consumption analysis request, specifically:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
5. The method of claim 3, wherein the method further comprises:
and recording and classifying the energy consumption parameter information and the early warning information at preset intervals, and storing the energy consumption parameter information and the early warning information into a database.
6. An energy consumption management device, characterized in that the device comprises:
the acquisition module acquires energy consumption parameter information in real time, wherein the energy consumption parameter information comprises: current and voltage, electric load, leakage data, power factor, harmonic wave, temperature and communication fault information;
the analysis module receives an energy consumption analysis request of a user and performs energy consumption analysis according to the energy consumption parameter information, wherein the energy consumption analysis comprises transformer loss analysis, electric energy quality analysis, periodic load analysis and energy consumption prediction analysis;
and the display module is used for displaying the energy consumption analysis result to a user, generating an electronic file based on the energy consumption analysis result and storing the electronic file into a database.
7. The device of claim 6, wherein the analysis module is specifically configured to:
acquiring historical energy consumption parameter information stored in the database;
generating an energy consumption curve graph based on the historical energy consumption parameter information and the energy consumption parameter information;
determining an energy consumption analysis result based on the energy consumption graph.
8. The method of claim 7, wherein the analysis module is specifically configured to:
when the data in the energy consumption curve graph exceeds a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is abnormal energy consumption, and early warning information is sent to a user;
and when the data in the energy consumption curve graph does not exceed a first preset energy consumption threshold or is lower than a second preset energy consumption threshold, the energy consumption analysis result is that the energy consumption is normal, and the energy consumption analysis result is sent to a user.
9. The method of claim 6, wherein the analysis module is specifically configured to:
acquiring user information in the energy consumption analysis request;
acquiring authority information corresponding to the user information based on a preset authority table in a database;
and if the authority information does not comprise the energy consumption analysis request, rejecting the energy consumption analysis request of the user.
10. The method of claim 8, wherein the device further comprises:
and the storage module is used for recording and classifying the energy consumption parameter information and the early warning information at intervals of preset time and storing the energy consumption parameter information and the early warning information into a database.
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