CN113408898A - Information recommendation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The invention discloses an information recommendation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring energy consumption data of a user; analyzing the energy consumption data to obtain various energy consumption indexes; comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes; and pushing the optimization scheme to the user. The embodiment of the invention provides a solution for the information recommendation requirement of the service provider of the comprehensive energy service, can determine an optimization scheme according to various energy utilization indexes of the user and corresponding industry indexes for pushing the optimization scheme to the user, performs professional optimization on the energy utilization data of the user, and pushes the optimization scheme to the user, so that the user can obtain a proper optimization scheme and corresponding service provider information, and the energy utilization cost of an enterprise is reduced.
Description
Technical Field
The embodiment of the invention relates to computer technologies, and in particular relates to an information recommendation method and device, an electronic device and a storage medium.
Background
The comprehensive energy service has the characteristics of multiple energy forms, multiple client types, multiple professional fields and long service chain, and aims at the user side: when selecting an energy service provider, enterprises adopting various energy forms need to take account of various performances such as economy, reliability, safety, convenience and the like, and the energy service and production process, production flow and the like are closely related to each other and need professional industry knowledge, but the enterprises often do not have the professional industry knowledge. For the energy supply side: most of the energy sources provided by each energy service provider are single, such as: the system can only provide any one to two energy service types of electricity, cold/heat, gas or water, and the content of the provided service is limited, so that any one energy service provider cannot realize comprehensive support on business to provide comprehensive service for users, and the service lacks market resources and marketing capacity, and has difficulty in market popularization. Due to the fact that the user side is lack of industry knowledge and the service popularization degree of the energy supply side is low, an enterprise is difficult to select a proper energy service provider, and the energy utilization cost of the enterprise is increased.
Disclosure of Invention
The invention provides an information recommendation method, an information recommendation device, electronic equipment and a storage medium, which are used for providing a solution for the information recommendation requirement of a service provider of comprehensive energy service, so that a user can obtain matched service provider information, and the energy consumption cost of an enterprise is reduced.
In a first aspect, an embodiment of the present invention provides an information recommendation method, where the method includes:
acquiring energy consumption data of a user;
analyzing the energy consumption data to obtain various energy consumption indexes;
comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
and pushing the optimization scheme to the user.
Further, each energy utilization index includes an electric energy ratio, the electric energy ratio is a ratio of electric energy to total energy, the total energy includes electric energy and non-electric energy, and comparing each energy utilization index with a corresponding industry index to determine an optimization scheme corresponding to each energy utilization index includes:
determining whether the electric energy fraction is less than an industry electric energy fraction;
and when the electric energy ratio is smaller than the industry electric energy ratio, determining electric energy equipment for replacing the energy utilization equipment corresponding to the non-electric energy, and pushing service provider information of the electric energy equipment to the user.
Further, the energy indexes include a green energy ratio, the green energy ratio is a ratio of cleaning energy to total energy, the total energy includes cleaning energy and non-cleaning energy, and the comparing of the energy indexes with corresponding industry indexes to determine an optimization scheme corresponding to the energy indexes includes:
determining whether the green energy fraction is less than an industry green energy fraction;
and when the green energy ratio is smaller than the industry green energy ratio, determining power generation equipment for replacing energy supply equipment corresponding to the non-clean energy, and pushing service provider information of the power generation equipment to the user.
Further, each energy consumption index includes a building power consumption mean value, the building power consumption mean value is a ratio of electric energy to building area, the electric energy is provided according to an initial power supply level, and each energy consumption index is compared with a corresponding industry index to determine an optimization scheme corresponding to each energy consumption index, including:
determining whether the building power consumption average value is smaller than an industry building power consumption average value;
and when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply grade for replacing the initial power supply grade, and pushing the target power supply grade to the user.
Further, when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply level for replacing the initial power supply level, and pushing the target power supply level to the user includes:
determining service consultants according to the registered address of the user;
and acquiring the target power supply grade for replacing the initial power supply grade from a terminal corresponding to the service counselor, and pushing the target power supply grade to the user.
Further, each energy consumption index includes a subsidy electricity consumption ratio, the subsidy electricity consumption ratio is a ratio of electric energy and total energy enjoying an electricity consumption subsidy policy, and the comparing of each energy consumption index with a corresponding industry index is performed to determine an optimization scheme corresponding to each energy consumption index, and the method includes the following steps:
determining whether the subsidy electricity utilization ratio is smaller than an industry subsidy electricity utilization ratio;
and when the subsidy electricity utilization ratio is smaller than the industry subsidy electricity utilization ratio, determining an electricity utilization time period for enjoying an electricity utilization subsidy policy, and pushing the electricity utilization time period to the user.
Further, after the comparing the various energy utilization indexes with the corresponding industry indexes to determine the optimization schemes corresponding to the various energy utilization indexes, the method further includes:
and adding labels on the optimization schemes corresponding to the various energy utilization indexes by taking the various energy utilization indexes as labels.
In a second aspect, an embodiment of the present invention further provides an information recommendation apparatus, where the apparatus includes:
the data acquisition module is used for acquiring the energy consumption data of the user;
the data analysis module is used for analyzing the energy utilization data to obtain various energy utilization indexes;
the scheme determining module is used for comparing the various energy utilization indexes with corresponding industry indexes to determine the optimization schemes corresponding to the various energy utilization indexes;
and the information pushing module is used for pushing the optimization scheme to the user.
In a third aspect, an embodiment of the present invention further provides an electronic device, where the electronic device includes:
one or more processors;
a storage device for storing one or more programs,
when the one or more programs are executed by the one or more processors, the one or more processors are caused to implement the information recommendation method.
In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the information recommendation method.
According to the embodiment of the invention, the energy consumption data of the user can be acquired; analyzing the energy consumption data to obtain various energy consumption indexes; comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes; and pushing the optimization scheme to the user. The embodiment of the invention provides a solution for the information recommendation requirement of the service provider of the comprehensive energy service, can determine an optimization scheme according to various energy utilization indexes of the user and corresponding industry indexes for pushing the optimization scheme to the user, performs professional optimization on the energy utilization data of the user, and pushes the optimization scheme to the user, so that the user can obtain a proper optimization scheme and corresponding service provider information, and the energy utilization cost of an enterprise is reduced.
Drawings
Fig. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present invention;
FIG. 2 is another schematic flow chart of an information recommendation method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Fig. 1 is a schematic flowchart of an information recommendation method according to an embodiment of the present invention, which may be executed by an information recommendation apparatus according to an embodiment of the present invention, where the information recommendation apparatus may be implemented in software and/or hardware. In a particular embodiment, the apparatus may be integrated in an electronic device, which may be, for example, a server. The following embodiments will be described by taking as an example that the apparatus is integrated in an electronic device, and referring to fig. 1, the method may specifically include the following steps:
step 110, acquiring energy consumption data of a user;
illustratively, the energy use data is energy use information of each energy use type of the user, and the energy use data may include but is not limited to: energy type, energy source, energy quantity, energy utilization area and the like. Among the energy types are the following, but not limited to: coal, oil, natural gas, electrical energy, combustible minerals, hydroenergy, wind energy, nuclear energy, tidal energy, and the like. Energy sources can be understood as the way of obtaining energy, such as: the electric energy source can be coal power generation, wind power generation, water conservancy power generation and the like. Whether the energy source is clean energy may be determined according to the energy source. The energy quantity can be understood as the quantity of each energy source, different energy sources can be measured by different units, and the energy conversion can be calculated according to the international standard and can be measured according to the same unit. Wherein, can understand as the occupied building area of energy use with the energy area, for example: the area of the building used by the enterprise user.
In a specific embodiment, the energy consumption data of the user can be acquired according to the energy consumption data uploaded by the user on the energy information platform in real time, or the energy consumption data of the user can be acquired according to historical energy consumption data of the user on the energy information platform, and when the energy consumption data of the user is the energy consumption data uploaded in real time, the energy consumption data can be directly analyzed according to the energy consumption data uploaded in real time to obtain various energy consumption indexes; when the energy consumption data of the user is historical energy consumption data, determining the energy consumption data for analyzing the historical energy consumption data closest to the current moment according to the time corresponding to the historical energy consumption data to obtain various energy consumption indexes, analyzing the change value of the historical energy consumption data, and prompting the user to upload updated data or updating the data according to the preset change value if the change value between the historical energy consumption data is larger than the preset change value.
Step 120, analyzing the energy consumption data to obtain various energy consumption indexes;
for example, various energy utilization indexes can be preset according to actual needs or experimental data, and whether the occupation ratio of various energy sources in the energy utilization data meets the corresponding industry standard or not is determined according to the various energy utilization indexes. The various performance indicators may include, but are not limited to: electric energy proportion, green energy proportion, building power consumption average value, subsidy power consumption proportion and the like. Such as: the electric energy ratio can be calculated according to the ratio of the electric energy to the total energy in the energy consumption data, the electric energy ratio is compared with the industry electric energy ratio, if the electric energy ratio is smaller than the industry electric energy ratio, the electric energy ratio is determined to replace a non-electric energy ratio replacement value according to the difference between the industry electric energy ratio and the electric energy ratio, and the electric energy equipment used for replacing the energy consumption equipment corresponding to the non-electric energy is determined according to the replacement value.
In specific implementation, according to the data such as the energy type, the energy source, the energy quantity and the like in the energy consumption data, various energy consumption indexes (an electric energy ratio, a green energy ratio, a building electricity consumption mean value, a subsidy electricity ratio and the like) of the energy consumption data are respectively calculated. Such as: whether the energy is clean energy or not can be determined according to the energy source, the green occupation ratio is calculated according to the ratio of the clean energy to the total energy, the ratio of the electric energy to the building area can be calculated according to the electric energy and the energy utilization area in the energy utilization data to obtain the building electricity consumption mean value, and the ratio of the electric energy to the total energy for enjoying the electricity utilization subsidy policy can be calculated according to the electricity utilization subsidy policy of the area where the user registration address is located to obtain the subsidy electricity utilization occupation ratio.
Step 130, comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
in an example, the optimization scheme can be understood as an optimization suggestion given by satisfying each energy utilization index with a corresponding industry index and service provider information corresponding to the optimization suggestion, and the optimization scheme is used for improving each energy utilization index and acquiring the service provider information corresponding to the optimization suggestion, so that a user obtains matched service provider information, and the energy utilization cost of an enterprise is reduced. Different energy utilization indexes correspond to different industry indexes, energy utilization data are analyzed from different dimensions, and optimization suggestions of the energy utilization data can be given according to different dimensions when an optimization scheme is determined.
In specific implementation, the optimization suggestions corresponding to each energy utilization index are determined according to comparison between each energy utilization index and the corresponding industry index. Such as: according to the green energy ratio and the industry green energy ratio, if the green energy ratio is smaller than the industry green energy ratio, determining a replacement value of the cleaning energy ratio for replacing the non-cleaning energy ratio, determining power generation equipment for replacing power supply equipment corresponding to the non-cleaning energy according to the replacement value, and recommending service provider information of the power generation equipment to a user.
Step 140, pushing the optimization scheme to the user.
For example, the method for pushing the optimization scheme to the user may be that the user logs in an energy information platform, the optimization scheme is pushed to the user through a display window of the energy information platform, or the optimization scheme is determined according to the energy data of the user, the user is determined to be in a non-login state, and the optimization scheme is pushed to the user according to a related communication method of a user login account. When the optimization scheme is pushed to the user, the user logs in an energy information platform, the optimization scheme is pushed to the user through a display window of the energy information platform, the number of the facilitator information which is correspondingly pushed by each optimization scheme is determined, the plurality of facilitator information is sequenced according to historical cooperation data of the user and the facilitator information, and the facilitator information with the number which corresponds to the top of the sequence is pushed to the user according to the display number of the display window which displays each optimization scheme.
According to the embodiment of the invention, the energy consumption data of the user can be acquired; analyzing the energy consumption data to obtain various energy consumption indexes; comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes; and pushing the optimization scheme to the user. The embodiment of the invention provides a solution for the information recommendation requirement of the service provider of the comprehensive energy service, can determine an optimization scheme according to various energy utilization indexes of the user and corresponding industry indexes for pushing the optimization scheme to the user, performs professional optimization on the energy utilization data of the user, and pushes the optimization scheme to the user, so that the user obtains matched information of the service provider, and the energy utilization cost of an enterprise is reduced.
The information recommendation method provided in the embodiment of the present invention is further described below, and as shown in fig. 2, the method may specifically include the following steps:
step 210, acquiring energy consumption data of a user;
step 220, analyzing the energy consumption data to obtain various energy consumption indexes;
step 230, comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
further, each energy utilization index includes an electric energy ratio, the electric energy ratio is a ratio of electric energy to total energy, the total energy includes electric energy and non-electric energy, and comparing each energy utilization index with a corresponding industry index to determine an optimization scheme corresponding to each energy utilization index includes:
determining whether the electric energy fraction is less than an industry electric energy fraction;
and when the electric energy ratio is smaller than the industry electric energy ratio, determining electric energy equipment for replacing the energy utilization equipment corresponding to the non-electric energy, and pushing service provider information of the electric energy equipment to the user.
Illustratively, according to the amount of energy in the energy consumption data and the international energy conversion standard, each type of energy in the energy consumption data is converted to obtain each type of energy value, and each type of energy value in the energy consumption data is accumulated to obtain the total energy of the energy consumption data. And taking the ratio of the electric energy to the total energy as the electric energy ratio. Industry electric energy ratio can be according to international electric energy data or the electric energy ratio value of the corresponding energy consumption data of reasonable electrification level that national grid data calculated for electric energy ratio's rationality in the energy consumption data is confirmed through industry electric energy ratio, if electric energy ratio is less than industry electric energy ratio, then use the electric energy less in the energy consumption data, do not possess the rationality and need propose the novel consumer of customer installation, replace traditional consumer, improve electrification level, for example: the coal-fired boiler is used for heating, and is replaced by an air conditioner or an electric heater for heating users.
In the specific implementation, according to the energy quantity in the energy consumption data and the international energy conversion standard, various types of energy sources in the energy consumption data are converted to obtain various types of energy values, and the various types of energy values in the energy consumption data are accumulated to obtain the total energy of the energy consumption data. And calculating the electric energy ratio of the energy consumption data according to the electric energy and the total energy in the energy consumption data. And comparing the electric energy ratio with the industry electric energy ratio, if the electric energy ratio in the energy consumption data is smaller than the industry electric energy ratio, determining the electric energy equipment for replacing the energy consumption equipment corresponding to the non-electric energy, and pushing the service provider information of the electric energy equipment to the user. The service provider information of the electric energy equipment can be contact information (such as mobile phones, WeChat, Fei and the like) provided for service providers of the electric energy equipment of the users, and also can be service products and cases provided by the users, and a solution is determined according to industry electric energy occupation, electric energy occupation ratio and total electric energy, such as: to provide power, the model, quantity and cost of purchase are required.
Further, the energy indexes include a green energy ratio, the green energy ratio is a ratio of cleaning energy to total energy, the total energy includes cleaning energy and non-cleaning energy, and the comparing of the energy indexes with corresponding industry indexes to determine an optimization scheme corresponding to the energy indexes includes:
determining whether the green energy fraction is less than an industry green energy fraction;
and when the green energy ratio is smaller than the industry green energy ratio, determining power generation equipment for replacing energy supply equipment corresponding to the non-clean energy, and pushing service provider information of the power generation equipment to the user.
Illustratively, the ratio of cleaning energy to total energy is taken as the green energy ratio. The industry green energy ratio can be the clean energy ratio of the energy consumption data corresponding to the reasonable clean energy utilization level calculated according to international electric energy data or national power grid data, and is used for determining the rationality of the green energy ratio in the energy consumption data through the industry green energy ratio, if the green energy ratio is smaller than the industry green energy ratio, the green energy used in the energy consumption data is less, green energy power generation equipment is required to be installed or purchased for use without rationality, non-clean energy supply equipment is replaced to clean energy power generation equipment, and the green energy utilization level is improved, for example: the coal-electricity device is replaced by a distributed photovoltaic or wind power generator.
In the specific implementation, according to the energy quantity in the energy consumption data and the international energy conversion standard, various types of energy sources in the energy consumption data are converted to obtain various types of energy values, and the various types of energy values in the energy consumption data are accumulated to obtain the total energy of the energy consumption data. And calculating the green energy ratio of the energy consumption data according to the cleaning energy and the total energy in the energy consumption data. And comparing the green energy ratio with the industry green energy ratio, if the green energy ratio in the energy consumption data is smaller than the industry green energy ratio, determining the power generation equipment for replacing the energy supply equipment corresponding to the non-clean energy, and pushing the information of the service provider of the power generation equipment to the user. The service provider information of the power generation equipment can be contact information (such as mobile phones, WeChat, Fei and the like) of a service provider provided for the power generation equipment of a user, and also can be service products and cases provided by the user, and a solution is determined according to industry green energy occupation, green energy occupation ratio and total electric energy, such as: to provide clean energy, the model, quantity and cost of the power generation equipment needs to be purchased.
Further, each energy consumption index includes a building power consumption mean value, the building power consumption mean value is a ratio of electric energy to building area, the electric energy is provided according to an initial power supply level, and each energy consumption index is compared with a corresponding industry index to determine an optimization scheme corresponding to each energy consumption index, including:
determining whether the building power consumption average value is smaller than an industry building power consumption average value;
and when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply grade for replacing the initial power supply grade, and pushing the target power supply grade to the user.
Illustratively, the ratio of the electric energy to the building area is taken as the building power consumption average value. The average value of the power consumption of the industrial building can be a reasonable average value of the power consumption of the building calculated according to international power data or national power grid data, and is used for determining the rationality of the average value of the power consumption of the building in the power consumption data according to the average value of the power consumption of the industrial building. Wherein, the power supply grade can be understood as providing stable power supply grades corresponding to different voltage values or current values, such as: the power utilization system comprises a safety power utilization device, a low-voltage power utilization device, a high-voltage power utilization device, an ultrahigh-voltage power utilization device and an extra-high-voltage power utilization device, and can also be a civil power utilization device, a commercial power utilization device, an industrial power utilization device and the like which are divided according to national power utilization standards, and can also be power utilization devices of different grades which are divided according to the power supply quality of power suppliers.
In the specific implementation, according to the energy quantity in the energy consumption data and the international energy conversion standard, various types of energy sources in the energy consumption data are converted to obtain various types of energy values, and the various types of energy values in the energy consumption data are accumulated to obtain the total energy of the energy consumption data. And calculating the building power consumption average value of the energy consumption data according to the electric energy and the building area in the energy consumption data. And comparing the building power consumption average value with the industry building power consumption average value, if the building power consumption average value in the energy consumption data is larger than the industry building power consumption average value, determining a target power supply grade for replacing the initial power supply grade according to the difference value of the industry building power consumption average value and the building power consumption average value, and pushing the target power supply grade to a user. The target power supply grade is pushed to the user, the user can contact the power supply service provider to inquire whether the target power supply grade exists or not according to the existing power supply service provider information of the initial power supply grade, and if the power supply service provider inquires that the target power supply grade exists, the power supply grade is changed under the current power supply service provider; and if the power supply service provider does not inquire the target power supply grade, inquiring the information of other power supply service providers according to the target power supply grade, and supplying power according to the target power supply grade.
Further, when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply level for replacing the initial power supply level, and pushing the target power supply level to the user includes:
determining service consultants according to the registered address of the user;
and acquiring the target power supply grade for replacing the initial power supply grade from a terminal corresponding to the service counselor, and pushing the target power supply grade to the user.
In the concrete implementation, the building power consumption average value of the energy consumption data is calculated according to the electric energy and the building area in the energy consumption data. And comparing the building power consumption average value with the industry building power consumption average value, if the building power consumption average value in the energy consumption data is larger than the industry building power consumption average value, determining the contact way of the local service consultant according to the registration address of the user, and contacting the terminal corresponding to the service consultant through the contact way of the local service consultant. The service consultant obtains the industry building power consumption mean value, the building power consumption mean value and the electric energy through the corresponding terminal, inquires the building power consumption mean values corresponding to different power supply grades according to the industry building power consumption mean value, the building power consumption mean value and the electric energy, selects the power supply grade corresponding to the industry building power consumption mean value as the target power supply grade, and pushes the target power supply grade to the user. The terminal can be an electronic terminal capable of installing any communication software, can also be a special terminal corresponding to national power policy consultation, and can carry out information communication in various forms such as voice, picture, text, file uploading and the like.
Further, each energy consumption index includes a subsidy electricity consumption ratio, the subsidy electricity consumption ratio is a ratio of electric energy and total energy enjoying an electricity consumption subsidy policy, and the comparing of each energy consumption index with a corresponding industry index is performed to determine an optimization scheme corresponding to each energy consumption index, and the method includes the following steps:
determining whether the subsidy electricity utilization ratio is smaller than an industry subsidy electricity utilization ratio;
and when the subsidy electricity utilization ratio is smaller than the industry subsidy electricity utilization ratio, determining an electricity utilization time period for enjoying an electricity utilization subsidy policy, and pushing the electricity utilization time period to the user.
For example, the ratio of the electric energy to the total energy enjoying the policy of subsidy of electricity consumption is taken as the subsidy electricity consumption ratio. The trade subsidy power consumption occupation ratio can be the occupation ratio of subsidy power consumption of the energy consumption data corresponding to the reasonable subsidy power consumption level of trade calculated according to international power data or national grid data for determining the rationality of the subsidy power consumption occupation ratio in the energy consumption data through the trade subsidy power consumption occupation ratio, if the subsidy power consumption occupation ratio is less than the trade subsidy power consumption occupation ratio, the subsidy power consumption data is less in use of subsidy power consumption, the subsidy power consumption industry rationality is poor, and the power consumption time interval of enjoying the power consumption subsidy policy needs to be inquired, such as: the patch is not enjoyed by using electricity in the daytime, and is enjoyed by using electricity at night.
In the specific implementation, according to the energy quantity in the energy consumption data and the international energy conversion standard, various types of energy sources in the energy consumption data are converted to obtain various types of energy values, and the various types of energy values in the energy consumption data are accumulated to obtain the total energy of the energy consumption data. And calculating the subsidy power consumption ratio of the power consumption data according to the power consumption enjoying the power consumption subsidy policy in the power consumption data and the total power consumption. And comparing the subsidy electricity utilization ratio with the industry subsidy electricity utilization ratio, if the subsidy electricity utilization ratio in the energy utilization data is smaller than the industry subsidy electricity utilization ratio, determining the electricity utilization time period for enjoying the electricity utilization subsidy policy, and pushing the electricity utilization time period to the user.
And 240, adding a label on the optimization scheme corresponding to each energy utilization index by taking each energy utilization index as the label.
In an example, the optimization suggestion corresponding to each energy utilization index and the corresponding service provider information are determined according to the comparison between each energy utilization index and the corresponding industry index. And determining an optimization scheme corresponding to each energy utilization index, adding a label to the optimization scheme corresponding to each energy utilization index by taking each energy utilization index as a label, and pushing the optimization scheme of adding the label corresponding to the energy utilization index to a user so that the user can search the optimization scheme through the label corresponding to the energy utilization index. The label corresponding to the energy index can be a picture or a symbol corresponding to the energy index.
It should be noted that the industry indexes in the embodiment of the present invention are mostly determined according to the electric energy, the establishment of the industry indexes is not limited, different industry indexes can be used according to different dimensions of the energy utilization index, and the industry indexes can be industry standards corresponding to different types of energy data, and are not limited to the electric energy.
Step 250, pushing the optimization scheme to the user.
According to the embodiment of the invention, the energy consumption data of the user can be acquired; analyzing the energy consumption data to obtain various energy consumption indexes; comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes; and pushing the optimization scheme to the user. The embodiment of the invention provides a solution for the information recommendation requirement of the service provider of the comprehensive energy service, can determine an optimization scheme according to various energy utilization indexes of the user and corresponding industry indexes for pushing the optimization scheme to the user, performs professional optimization on the energy utilization data of the user, and pushes the optimization scheme to the user, so that the user can obtain a proper optimization scheme and corresponding service provider information, and the energy utilization cost of an enterprise is reduced.
Fig. 3 is a schematic structural diagram of an information recommendation apparatus according to an embodiment of the present invention, and as shown in fig. 3, the information recommendation apparatus includes:
a data obtaining module 310, configured to obtain energy data of a user;
the data analysis module 320 is used for analyzing the energy utilization data to obtain various energy utilization indexes;
a scheme determining module 330, configured to compare the various energy consumption indicators with corresponding industry indicators to determine an optimization scheme corresponding to the various energy consumption indicators;
an information pushing module 340, configured to push the optimization scheme to the user.
In an embodiment, the energy usage indicators include an electric energy ratio, where the electric energy ratio is a ratio of electric energy to total energy, and the total energy includes electric energy and non-electric energy, and the scheme determining module 330 compares the energy usage indicators with corresponding industry indicators to determine an optimization scheme corresponding to the energy usage indicators, including:
determining whether the electric energy fraction is less than an industry electric energy fraction;
and when the electric energy ratio is smaller than the industry electric energy ratio, determining electric energy equipment for replacing the energy utilization equipment corresponding to the non-electric energy, and pushing service provider information of the electric energy equipment to the user.
In an embodiment, the energy indexes include a green energy ratio, the green energy ratio is a ratio of cleaning energy to total energy, the total energy includes cleaning energy and non-cleaning energy, and the scheme determining module 330 compares the energy indexes with corresponding industry indexes to determine an optimized scheme corresponding to the energy indexes, including:
determining whether the green energy fraction is less than an industry green energy fraction;
and when the green energy ratio is smaller than the industry green energy ratio, determining power generation equipment for replacing energy supply equipment corresponding to the non-clean energy, and pushing service provider information of the power generation equipment to the user.
In an embodiment, the energy consumption indexes include a building power consumption average value, where the building power consumption average value is a ratio of electric energy to a building area, the electric energy is provided according to an initial power supply level, and the scheme determining module 330 compares the energy consumption indexes with corresponding industry indexes to determine an optimized scheme corresponding to the energy consumption indexes, including:
determining whether the building power consumption average value is smaller than an industry building power consumption average value;
and when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply grade for replacing the initial power supply grade, and pushing the target power supply grade to the user.
In one embodiment, when the average building power consumption is smaller than the average industry building power consumption, the scheme determining module 330 determines a target power supply level to replace the initial power supply level, and pushes the target power supply level to the user, including:
determining service consultants according to the registered address of the user;
and acquiring the target power supply grade for replacing the initial power supply grade from a terminal corresponding to the service counselor, and pushing the target power supply grade to the user.
In an embodiment, the energy indexes include a subsidy electricity utilization ratio, which is a ratio of electric energy to total energy enjoying an electricity utilization subsidy policy, and the scheme determining module 330 compares the energy indexes with corresponding industry indexes to determine an optimization scheme corresponding to the energy indexes, including:
determining whether the subsidy electricity utilization ratio is smaller than an industry subsidy electricity utilization ratio;
and when the subsidy electricity utilization ratio is smaller than the industry subsidy electricity utilization ratio, determining an electricity utilization time period for enjoying an electricity utilization subsidy policy, and pushing the electricity utilization time period to the user.
In an embodiment, after the comparing the performance indicators with the corresponding industry indicators to determine the optimization scheme corresponding to the performance indicators, the scheme determining module 330 further includes:
and adding labels on the optimization schemes corresponding to the various energy utilization indexes by taking the various energy utilization indexes as labels.
It is obvious to those skilled in the art that, for convenience and simplicity of description, the foregoing division of the functional modules is merely used as an example, and in practical applications, the above function distribution may be performed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to perform all or part of the above described functions. For the specific working process of the functional module, reference may be made to the corresponding process in the foregoing method embodiment, which is not described herein again.
The embodiment of the device can acquire the energy data of the user; analyzing the energy consumption data to obtain various energy consumption indexes; comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes; and pushing the optimization scheme to the user. The embodiment of the invention provides a solution for the information recommendation requirement of the service provider of the comprehensive energy service, can determine an optimization scheme according to various energy utilization indexes of the user and corresponding industry indexes for pushing the optimization scheme to the user, performs professional optimization on the energy utilization data of the user, and pushes the optimization scheme to the user, so that the user can obtain a proper optimization scheme and corresponding service provider information, and the energy utilization cost of an enterprise is reduced.
Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. FIG. 4 illustrates a block diagram of an exemplary electronic device 12 suitable for use in implementing embodiments of the present invention. The electronic device 12 shown in fig. 4 is only an example and should not bring any limitation to the function and the scope of use of the embodiment of the present invention.
As shown in FIG. 4, electronic device 12 is embodied in the form of a general purpose computing device. The components of electronic device 12 may include, but are not limited to: one or more processors or processing units 16, a system memory 28, and a bus 18 that couples various system components including the system memory 28 and the processing unit 16.
The system memory 28 may include computer system readable media in the form of volatile memory, such as Random Access Memory (RAM)30 and/or cache memory 32. The electronic device 12 may further include other removable/non-removable, volatile/nonvolatile computer system storage media. By way of example only, storage system 34 may be used to read from and write to non-removable, nonvolatile magnetic media (not shown in FIG. 4, and commonly referred to as a "hard drive"). Although not shown in FIG. 4, a magnetic disk drive for reading from and writing to a removable, nonvolatile magnetic disk (e.g., a "floppy disk") and an optical disk drive for reading from or writing to a removable, nonvolatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 by one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
The processing unit 16 executes various functional applications and data processing by executing programs stored in the system memory 28, for example, to implement the information recommendation method provided by the embodiment of the present invention, the method includes:
acquiring energy consumption data of a user;
analyzing the energy consumption data to obtain various energy consumption indexes;
comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
and pushing the optimization scheme to the user.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the information recommendation method, and the method includes:
acquiring energy consumption data of a user;
analyzing the energy consumption data to obtain various energy consumption indexes;
comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
and pushing the optimization scheme to the user.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, or the like, as well as conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An information recommendation method, comprising:
acquiring energy consumption data of a user;
analyzing the energy consumption data to obtain various energy consumption indexes;
comparing the various energy utilization indexes with corresponding industry indexes to determine an optimization scheme corresponding to the various energy utilization indexes;
and pushing the optimization scheme to the user.
2. The method of claim 1, wherein the energy usage indicators include an electric energy ratio, the electric energy ratio is a ratio of electric energy to total energy, the total energy includes electric energy and non-electric energy, and comparing the energy usage indicators with corresponding industry indicators to determine an optimization scheme corresponding to the energy usage indicators includes:
determining whether the electric energy fraction is less than an industry electric energy fraction;
and when the electric energy ratio is smaller than the industry electric energy ratio, determining electric energy equipment for replacing the energy utilization equipment corresponding to the non-electric energy, and pushing service provider information of the electric energy equipment to the user.
3. The method of claim 1, wherein the energy usage indicators include a green energy ratio, the green energy ratio is a ratio of cleaning energy to total energy, the total energy includes cleaning energy and non-cleaning energy, and comparing the energy usage indicators with corresponding industry indicators to determine an optimization scheme corresponding to the energy usage indicators includes:
determining whether the green energy fraction is less than an industry green energy fraction;
and when the green energy ratio is smaller than the industry green energy ratio, determining power generation equipment for replacing energy supply equipment corresponding to the non-clean energy, and pushing service provider information of the power generation equipment to the user.
4. The method according to claim 1, wherein the energy consumption indexes include a building electricity consumption average value, the building electricity consumption average value is a ratio of electric energy to building area, the electric energy is provided according to an initial power supply level, and the comparing the energy consumption indexes with corresponding industry indexes to determine an optimization scheme corresponding to the energy consumption indexes comprises:
determining whether the building power consumption average value is smaller than an industry building power consumption average value;
and when the building power consumption average value is smaller than the industry building power consumption average value, determining a target power supply grade for replacing the initial power supply grade, and pushing the target power supply grade to the user.
5. The method of claim 4, wherein when the average building power consumption is less than the average industry building power consumption, determining a target power supply level for replacing the initial power supply level and pushing the target power supply level to the user comprises:
determining service consultants according to the registered address of the user;
and acquiring the target power supply grade for replacing the initial power supply grade from a terminal corresponding to the service counselor, and pushing the target power supply grade to the user.
6. The method according to claim 1, wherein the energy indexes include a subsidy electricity utilization ratio, the subsidy electricity utilization ratio is a ratio of electric energy to total energy for enjoying an electricity subsidy policy, and the comparing the energy indexes with corresponding industry indexes to determine an optimization scheme corresponding to the energy indexes comprises:
determining whether the subsidy electricity utilization ratio is smaller than an industry subsidy electricity utilization ratio;
and when the subsidy electricity utilization ratio is smaller than the industry subsidy electricity utilization ratio, determining an electricity utilization time period for enjoying an electricity utilization subsidy policy, and pushing the electricity utilization time period to the user.
7. The method according to claim 1, wherein after comparing the energy usage indicators with corresponding industry indicators to determine the optimization scheme corresponding to the energy usage indicators, the method further comprises:
and adding labels on the optimization schemes corresponding to the various energy utilization indexes by taking the various energy utilization indexes as labels.
8. An information recommendation apparatus, comprising:
the data acquisition module is used for acquiring the energy consumption data of the user;
the data analysis module is used for analyzing the energy utilization data to obtain various energy utilization indexes;
the scheme determining module is used for comparing the various energy utilization indexes with corresponding industry indexes to determine the optimization schemes corresponding to the various energy utilization indexes;
and the information pushing module is used for pushing the optimization scheme to the user.
9. An electronic device, characterized in that the electronic device comprises:
one or more processors;
a storage device for storing one or more programs,
when executed by the one or more processors, cause the one or more processors to implement the information recommendation method of any one of claims 1-7.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the information recommendation method according to any one of claims 1 to 7.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110231028A1 (en) * | 2009-01-14 | 2011-09-22 | Ozog Michael T | Optimization of microgrid energy use and distribution |
| CN109685370A (en) * | 2018-12-24 | 2019-04-26 | 国网上海市电力公司 | A kind of efficiency diagnostic analysis system based on large power customers electrical feature |
| CN110163527A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of enterprise's energy intellectual analysis management method |
| CN111966662A (en) * | 2020-08-07 | 2020-11-20 | 广东卓维网络有限公司 | Multi-user-side comprehensive energy monitoring service application platform |
| CN111985702A (en) * | 2020-08-10 | 2020-11-24 | 华北电力大学 | Park level comprehensive energy system optimization method considering electric energy substitution effect |
| CN112561157A (en) * | 2020-12-10 | 2021-03-26 | 国网浙江宁海县供电有限公司 | Comprehensive energy optimization energy-saving system |
-
2021
- 2021-06-21 CN CN202110684776.XA patent/CN113408898A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110231028A1 (en) * | 2009-01-14 | 2011-09-22 | Ozog Michael T | Optimization of microgrid energy use and distribution |
| CN109685370A (en) * | 2018-12-24 | 2019-04-26 | 国网上海市电力公司 | A kind of efficiency diagnostic analysis system based on large power customers electrical feature |
| CN110163527A (en) * | 2019-05-31 | 2019-08-23 | 国网上海市电力公司 | A kind of enterprise's energy intellectual analysis management method |
| CN111966662A (en) * | 2020-08-07 | 2020-11-20 | 广东卓维网络有限公司 | Multi-user-side comprehensive energy monitoring service application platform |
| CN111985702A (en) * | 2020-08-10 | 2020-11-24 | 华北电力大学 | Park level comprehensive energy system optimization method considering electric energy substitution effect |
| CN112561157A (en) * | 2020-12-10 | 2021-03-26 | 国网浙江宁海县供电有限公司 | Comprehensive energy optimization energy-saving system |
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