CN119401371A

CN119401371A - Intelligent control method and system for power consumption in industrial parks based on photovoltaic storage, direct current and flexible Internet of Things

Info

Publication number: CN119401371A
Application number: CN202510001931.1A
Authority: CN
Inventors: 张利进; 郑福长; 林松泉
Original assignee: China Construction Science And Engineering Group Green Technology Co ltd
Current assignee: China Construction Science And Engineering Group Green Technology Co ltd
Priority date: 2025-01-02
Filing date: 2025-01-02
Publication date: 2025-02-07
Anticipated expiration: 2045-01-02
Also published as: CN119401371B

Abstract

The present invention discloses an intelligent control method and system for power consumption in an industrial park based on photovoltaic, storage, direct current and flexible Internet of Things. The system includes an edge server, a control module, a photovoltaic module, an energy storage module, a direct current distribution module and a plurality of Internet of Things power consumption devices. The photovoltaic module is connected to the energy storage module and the direct current distribution module, the energy storage module is connected to the direct current distribution module, and the direct current distribution module is connected to a plurality of Internet of Things power consumption devices. The embodiment of the present invention can automatically group each Internet of Things power consumption device in the smart industrial park based on the power consumption device information in the edge server, and intelligently determine the corresponding energy supply sub-control strategy for different power consumption device sub-grouping results in combination with the first device parameter of the photovoltaic module and the second device parameter of the energy storage module, and intelligently control the power consumption of the Internet of Things power consumption devices in the corresponding power consumption device sub-grouping results according to the energy supply sub-control strategy.

Description

Intelligent control method and system for industrial park electricity utilization based on optical storage direct-softness Internet of things

Technical Field

The invention relates to the technical field of optical storage direct-softening Internet of things, in particular to an intelligent control method and system for industrial park electricity utilization based on the optical storage direct-softening Internet of things.

Background

The light storage direct-flexible technology can be applied to various buildings, such as houses, commercial buildings, public buildings, industrial parks and the like, and realizes self-supply of energy sources of the buildings, energy conservation and emission reduction. For example, photovoltaic panels can be arranged on the roof of a factory building in an industrial park to construct a direct current distribution system and an intelligent building system, so that the electric energy utilization rate is improved, and the capacity of a distribution transformer is reduced. But in the light storage straight gentle system to the industrial park at present, there is the condition that the consumer type is various, and parameters such as voltage, the power of different kinds of consumers are different, and the light storage straight gentle system needs to be in the same place photovoltaic equipment, energy storage equipment, direct current distribution equipment and different kinds of consumers integration, ensures the compatibility of system and carries out accurate power supply to each consumer still to be difficult to realize.

Disclosure of Invention

The embodiment of the invention provides an intelligent control method and system for electricity consumption of an industrial park based on optical storage direct-softness Internet of things, and aims to solve the problems that in the prior art, aiming at the situation that the types of electric equipment are various in an optical storage direct-softness system of the industrial park, parameters such as voltage, power and the like of different types of electric equipment are different, the optical storage direct-softness system needs to integrate photovoltaic equipment, energy storage equipment, direct-current power distribution equipment and different types of electric equipment together, compatibility of the system is ensured, and accurate power supply aiming at each electric equipment is difficult to realize.

In a first aspect, an embodiment of the invention provides an intelligent control method for industrial park electricity consumption based on optical storage direct-soft internet of things, which is applied to an intelligent industrial park, wherein an edge server, a control module, a photovoltaic module, an energy storage module, a direct-current power distribution module and a plurality of internet of things electric devices are arranged in the intelligent industrial park, the photovoltaic module is connected with the energy storage module and the direct-current power distribution module, the energy storage module is connected with the direct-current power distribution module, the direct-current power distribution module is connected with the plurality of internet of things electric devices, the control module is in communication connection with the photovoltaic module, the energy storage module, the direct-current power distribution module and the plurality of internet of things electric devices, the control module is also in communication connection with the edge server, the edge server is also in communication connection with a cloud server, and the intelligent control method for industrial park electricity consumption based on optical storage direct-soft internet of things comprises:

The control module responds to the grouping instruction of the electric equipment of the Internet of things, acquires electric equipment information respectively sent by the electric equipment of the Internet of things and sends the electric equipment information to the edge server, wherein the electric equipment information at least comprises an electric equipment unique number, an electric equipment type, an electric equipment belonging area, alternating current/direct current power utilization priority information of the electric equipment and power utilization of the electric equipment;

The edge server determines an electric equipment grouping result corresponding to the plurality of electric equipment of the Internet of things based on the electric equipment information corresponding to the plurality of electric equipment of the Internet of things and a preset electric equipment grouping strategy, wherein the electric equipment grouping result comprises a plurality of electric equipment sub-grouping results;

if the edge server detects a current day power consumption planning instruction, determining energy supply sub-control strategies respectively corresponding to a plurality of electric equipment sub-grouping results in the electric equipment grouping result based on a first equipment parameter of the photovoltaic module, a second equipment parameter of the energy storage module, the electric equipment grouping result and a preset energy supply control strategy, and sending the energy supply sub-control strategies to the control module;

The control module controls the photovoltaic module and/or the energy storage module to supply power to the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping result based on the energy supply sub-control strategy respectively corresponding to the electric equipment sub-grouping result.

In a second aspect, the embodiment of the invention further provides an intelligent control system for industrial park electricity consumption based on optical storage direct-soft internet of things, which is applied to an intelligent industrial park, wherein an edge server, a control module, a photovoltaic module, an energy storage module, a direct-current power distribution module and a plurality of internet of things electric devices are arranged in the intelligent industrial park, the photovoltaic module is connected with the energy storage module and the direct-current power distribution module, the energy storage module is connected with the direct-current power distribution module, the direct-current power distribution module is connected with the plurality of internet of things electric devices, the control module is in communication connection with the photovoltaic module, the energy storage module, the direct-current power distribution module and the plurality of internet of things electric devices, the control module is also in communication connection with the edge server, and the edge server is also in communication connection with a cloud server:

The control module is used for responding to the grouping instruction of the electric equipment of the Internet of things, acquiring electric equipment information respectively sent by the electric equipment of the Internet of things and sending the electric equipment information to the edge server, wherein the electric equipment information at least comprises an electric equipment unique number, an electric equipment type, an electric equipment belonging area, AC/DC electric priority information of the electric equipment and electric power of the electric equipment;

The edge server is used for determining an electric equipment grouping result corresponding to the plurality of electric equipment of the Internet of things based on the electric equipment information corresponding to the plurality of electric equipment of the Internet of things and a preset electric equipment grouping strategy, wherein the electric equipment grouping result comprises a plurality of electric equipment sub-grouping results;

The edge server is further configured to determine, if the current day power consumption planning instruction is detected, an energy supply sub-control policy corresponding to each of a plurality of power consumption device sub-grouping results in the power consumption device grouping result based on a first device parameter of the photovoltaic module, a second device parameter of the energy storage module, the power consumption device grouping result and a preset energy supply control policy, and send the energy supply sub-control policy to the control module;

The control module is further used for controlling the photovoltaic module and/or the energy storage module to supply power to the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping result based on the energy supply sub-control strategies respectively corresponding to the electric equipment sub-grouping results.

The embodiment of the invention provides an intelligent control method and an intelligent control system for power consumption of an industrial park based on optical storage direct-current soft Internet of things, wherein the method comprises the steps that a control module responds to an Internet of things power consumption grouping instruction, power consumption information sent by a plurality of Internet of things power consumption devices is obtained and sent to an edge server, the power consumption information at least comprises a unique number of the power consumption devices, a type of the power consumption devices, an area where the power consumption devices belong to, alternating-current power consumption priority information of the power consumption devices and power consumption of the power consumption devices, the edge server determines power consumption device grouping results corresponding to the plurality of Internet of things power consumption devices based on the power consumption device information respectively corresponding to the plurality of Internet of things power consumption devices and a preset power consumption device grouping strategy, the edge server comprises a plurality of power consumption device sub-grouping results, and if the power consumption planning instruction of the current day is detected, the edge server determines power consumption device sub-control strategies respectively corresponding to the plurality of power consumption device sub-grouping results in the grouping results based on first equipment parameters of a photovoltaic module, second equipment parameters of an energy storage module, and a preset power consumption device sub-grouping strategy, and sends the power consumption device sub-control strategies to the control module, and the power consumption device sub-control strategy corresponding to the power consumption device sub-grouping results in the grouping results, and the power consumption device sub-control strategy is determined, and the power consumption device sub-control strategy is based on the power consumption device sub-grouping strategy. According to the embodiment of the invention, after the electric equipment of the Internet of things in the intelligent industrial park is automatically grouped in the edge server based on the electric equipment information, the corresponding energy supply sub-control strategy is intelligently determined according to different electric equipment sub-grouping results and the first equipment parameters of the photovoltaic module and the second equipment parameters of the energy storage module, and the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping results is intelligently controlled according to the energy supply sub-control strategy.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic block diagram of an intelligent control system for industrial park electricity based on optical storage direct soft Internet of things, which is provided by the embodiment of the invention;

fig. 2 is a schematic flow chart of an intelligent control method for industrial park electricity consumption based on optical storage direct soft internet of things, which is provided by the embodiment of the invention;

Fig. 3 is a schematic sub-flowchart of an intelligent control method for industrial park electricity based on optical storage direct soft internet of things according to an embodiment of the invention;

Fig. 4 is a schematic sub-flowchart of an intelligent control method for industrial park electricity based on optical storage direct soft internet of things according to an embodiment of the present invention;

Fig. 5 is a schematic sub-flowchart of an intelligent control method for electricity consumption in an industrial park based on optical storage direct soft internet of things according to an embodiment of the invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.

It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.

It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.

Referring to fig. 1 and fig. 2 simultaneously, fig. 1 is a schematic block diagram of an intelligent control system for industrial park electricity based on optical storage direct soft internet of things provided by the embodiment of the invention, and fig. 2 is a flow diagram of an intelligent control method for industrial park electricity based on optical storage direct soft internet of things provided by the embodiment of the invention. As shown in fig. 1, the intelligent control method for industrial park electricity consumption based on the soft internet of things can be regarded as a scene schematic diagram of the intelligent control method for industrial park electricity consumption based on the soft internet of things, which is provided by the embodiment of the invention, is applied to an intelligent industrial park, an edge server 10, a control module 20, a photovoltaic module 30, an energy storage module 40, a direct current distribution module 50 and a plurality of internet of things electric devices 60 are arranged in the intelligent industrial park, the photovoltaic module 30 is connected with the energy storage module 40 and the direct current distribution module 50, the energy storage module 40 is connected with the direct current distribution module 50, the direct current distribution module 50 is connected with the plurality of internet of things electric devices 60, the control module 20 is connected with the photovoltaic module 30, the energy storage module 40, the direct current module 50 and the plurality of internet of things 60 in a communication manner, the control module 20 is also connected with the edge server 10 in a communication manner, and the edge server 10 is also connected with the cloud server in a communication manner. The photovoltaic module 30 may be implemented by a solar photovoltaic power generation device, the energy storage module 40 may be implemented by a lithium battery (a charging pile disposed in an intelligent industrial park may also be used as one of the energy storage modules and may be used for charging an electric vehicle), and the dc power distribution module 50 may be implemented by a low-voltage dc power distribution system.

As shown in fig. 2, the method includes the following steps S110 to S140.

S110, the control module responds to the grouping instruction of the electric equipment of the Internet of things, acquires the electric equipment information sent by the electric equipment of the Internet of things respectively, and sends the electric equipment information to the edge server.

The electric equipment information at least comprises an electric equipment unique number, an electric equipment type, an electric equipment area, alternating current/direct current electric priority information of the electric equipment and electric power of the electric equipment.

In this embodiment, as shown in fig. 1, after the construction of the intelligent industrial park is completed and the edge server 10, the control module 20, the photovoltaic module 30, the energy storage module 40, the dc power distribution module 50 and the plurality of internet of things electric devices 60 are deployed, the plurality of internet of things electric devices 60 can be respectively configured with the electric device information in an initialized manner. For example, when the electric equipment information of each internet of things electric equipment deployed in the intelligent industrial park is configured in an initialization manner, the electric equipment type mainly comprises industrial production equipment, lighting equipment, air conditioning and ventilation equipment, security equipment, fire protection equipment, office equipment, life service equipment and the like, the internet of things electric equipment can be provided with an internet of things (IotT is commonly referred to as Internet of Things and represents the internet of things, more specifically, an NB-IoT communication module, namely a narrow-band internet of things communication module, is used for establishing communication connection with the control module and the edge server), the electric equipment area of the internet of things electric equipment can be set as a production area (more specifically, the production area can be divided according to specific production procedures, such as a first-procedure production area, a second-procedure production area and the like), a living area, a warehouse area and the like, the ac/dc priority information of the electric equipment can be set to be only used for direct current, compatible ac/dc, compatible ac/ac, compatible ac, and the electric power of the electric equipment can be set as maximum power, minimum power, average power and the electric power of the electric equipment. After the IoT communication module is set for each piece of internet of things consumer, the edge server can firstly generate a grouping instruction of the internet of things consumer locally based on manual operation or automatically, and then send the grouping instruction of the internet of things consumer to the control module. The control module can be regarded as a control center comprising components such as a controller and a memory, has stronger data processing capability, and can respectively send electric equipment information reporting instructions to each electric equipment of the Internet of things in the intelligent industrial park after receiving the electric equipment grouping instructions of the Internet of things sent by the edge server, so that each electric equipment of the Internet of things can respectively report the electric equipment information to the control module and then forward to the edge server. The process can be understood as an inventory process of the electric equipment of the Internet of things in the intelligent industrial park, so that the edge server can carry out subsequent processing based on the electric equipment information of the electric equipment of each Internet of things.

S120, the edge server determines an electric equipment grouping result corresponding to the plurality of electric equipment of the Internet of things based on the electric equipment information corresponding to the plurality of electric equipment of the Internet of things and a preset electric equipment grouping strategy.

The grouping result of the electric equipment comprises a plurality of sub-grouping results of the electric equipment.

In this embodiment, after the information of the electric devices of each internet of things electric device in the intelligent industrial park is obtained in the edge server, a local preset electric device grouping strategy can be combined to determine electric device grouping results corresponding to the plurality of internet of things electric devices, and after the grouping of each internet of things electric device in the intelligent industrial park is completed, more intelligent power supply control can be performed on each grouped internet of things electric device.

In one embodiment, as shown in fig. 3, step S120 includes:

s121, aiming at each of the plurality of Internet of things electric devices, acquiring electric device information of the Internet of things electric device, and determining electric device characteristic data corresponding to the electric device information;

s122, acquiring a plurality of preset electric equipment characteristic data in the electric equipment grouping strategy and a sub-grouping result corresponding to each preset electric equipment characteristic data;

S123, matching the electric equipment characteristic data corresponding to the electric equipment of the Internet of things with a plurality of preset electric equipment characteristic data in the electric equipment grouping strategy to obtain a target sub-grouping result corresponding to the electric equipment of the Internet of things;

And S124, summarizing target sub-grouping results corresponding to a plurality of electric equipment of the Internet of things to obtain the electric equipment grouping result.

In this embodiment, in order to implement rapid grouping of the electric devices of the internet of things in the edge server, corresponding electric device feature data may be determined based on the electric device information of each electric device of the internet of things, then the electric device feature data of the electric devices of the internet of things is compared and matched with a plurality of preset electric device feature data in an electric device grouping policy, preset electric device feature data having the same feature data as the electric device feature data of the electric devices of the internet of things is determined, and a sub-grouping result corresponding to the preset electric device feature data is used as a target sub-grouping result corresponding to the electric devices of the internet of things. And after determining the target sub-grouping result corresponding to each electric equipment of the Internet of things, carrying out data summarization processing to obtain the electric equipment grouping result.

When the characteristic data of the electric equipment is determined based on the electric equipment information of the electric equipment of the Internet of things, the information to be obtained at the very core is the type of the electric equipment, the area to which the electric equipment belongs and the AC/DC power utilization priority information of the electric equipment, and the characteristic data of the electric equipment of the Internet of things can be obtained by processing the three information.

In one embodiment, step S121 includes:

acquiring the type of the electric equipment, the area of the electric equipment and the AC/DC power utilization priority information of the electric equipment in the electric equipment information, and determining a first identification value corresponding to the type of the electric equipment, a second identification value corresponding to the area of the electric equipment and a third identification value corresponding to the AC/DC power utilization priority information;

An identification value vector is formed by the first identification value, the second identification value and the third identification value, and is used as electric equipment characteristic data corresponding to the electric equipment information;

Step S123 includes:

If the electric equipment characteristic data corresponding to the electric equipment of the Internet of things is identical to one of the preset electric equipment characteristic data, acquiring a sub-grouping result corresponding to the corresponding preset electric equipment characteristic number to serve as a target sub-grouping result corresponding to the electric equipment of the Internet of things.

In this embodiment, it is determined that the characteristic data of the electric equipment corresponding to the electric equipment of the internet of things is taken as an example, after the type of the electric equipment of the internet of things, the area to which the electric equipment belongs and the ac/dc power utilization priority information of the electric equipment are obtained, a first identification value corresponding to the type of the electric equipment, a second identification value corresponding to the area to which the electric equipment belongs and a third identification value corresponding to the ac/dc power utilization priority information are respectively determined, for example, an industrial production equipment corresponding identification value of 1, a lighting equipment corresponding identification value of 2, an air conditioner and ventilation equipment corresponding identification value of 3, a security protection equipment corresponding identification value of 4, a fire protection equipment corresponding identification value of 5, an office equipment corresponding identification value of 6 and a life service equipment corresponding identification value of 7 are preset, a production area corresponding to identification value of 1, a living area corresponding to identification value of 2, a storage area corresponding to identification value of 3 are preset, a compatible ac/dc corresponding to identification value of 2, a compatible ac/dc corresponding to identification value of 3, and a compatible ac/dc corresponding to ac priority corresponding to identification value of 4 are preset. When the type of the electric equipment of the Internet of things is known to be industrial production equipment, the area of the electric equipment belongs to a production area, and the AC/DC power utilization priority information of the electric equipment is only used for communication, the corresponding characteristic data of the electric equipment can be expressed as [1, 4].

And because a plurality of electric equipment characteristic data are preset in the electric equipment grouping strategy of the edge server, and the sub-grouping result to which each preset electric equipment characteristic data belongs is correspondingly set for each preset electric equipment characteristic data, when the electric equipment characteristic data corresponding to the electric equipment of the Internet of things is identical to one of the preset electric equipment characteristic data, the electric equipment of the Internet of things can be divided into the sub-grouping results corresponding to the preset electric equipment characteristic data. By the method, the target sub-grouping results corresponding to the electric equipment of the Internet of things are determined and summarized, and the electric equipment grouping results can be obtained.

And S130, if the edge server detects the current day electricity planning instruction, determining energy supply sub-control strategies respectively corresponding to a plurality of electric equipment sub-grouping results in the electric equipment grouping result based on the first equipment parameter of the photovoltaic module, the second equipment parameter of the energy storage module, the electric equipment grouping result and a preset energy supply control strategy, and sending the energy supply sub-control strategies to the control module.

In this embodiment, after the intelligent quick grouping of the electric devices of the internet of things in the intelligent industrial park is completed in the edge server, the checking of the electric devices of the internet of things in the intelligent industrial park can be understood as being completed. Steps S110 and S120 can be understood to be performed only after the construction of the intelligent industrial park and the deployment and initialization of the electric devices of the internet of things are completed, and then need not be performed again. The edge server can determine energy supply sub-control strategies corresponding to a plurality of electric equipment sub-grouping results in the electric equipment grouping result respectively based on the first equipment parameter of the photovoltaic module, the second equipment parameter of the energy storage module, the electric equipment grouping result and a preset energy supply control strategy when the electric equipment planning instruction of the current day is detected every day. For example, a timing automatic execution task may be set in the edge server, so as to generate a current solar electricity planning instruction at multiple times per day (for example, after the current solar electricity planning instruction is detected in the edge server each time per day 00: 01、1:01、2:01、3:01、4:01、5:01、6:01、7:01、8:01、9:01、10:01、11:01、12:01、13:01、14:01、15:01、16:01、17:01、18:01、19:01、20:01、20:01、21:01、22:01、23:01）., an equipment parameter acquisition instruction is sent to the photovoltaic module and the energy storage module respectively, so as to acquire a first equipment parameter of the photovoltaic module and acquire a second equipment parameter of the energy storage module, where the first equipment parameter at least includes solar average photovoltaic power generation amount and solar average photovoltaic power generation power of the photovoltaic equipment, a current period of time predicts photovoltaic power generation amount (generally corresponds to a current period of time from a current time of generation time of the photovoltaic module to a next time of generation time of the current solar electricity planning instruction, and a photovoltaic power generation amount estimated formula of the photovoltaic power generation amount is e=a photovoltaic module's photovoltaic power generation maximum area, an equivalent peak value is small, a conversion efficiency (1-photovoltaic power generation amount) of the photovoltaic module is calculated by using a photovoltaic module, a current period of time is calculated by combining the current illumination intensity data of the current period of the photovoltaic module and a preset photovoltaic power generation amount estimated formula, a current period of time is calculated by combining the current period of time, and the photovoltaic power generation amount estimated formula is a current period of time, and the photovoltaic power generation loss is calculated by using a current average power consumption of the photovoltaic module is calculated by the photovoltaic module and the current energy loss of the photovoltaic module is calculated by a current power consumption of the photovoltaic module.

The grouping results of the electric equipment corresponding to the electric equipment of the plurality of Internet of things in the intelligent industrial park are currently known, and the energy supply sub-control strategies respectively corresponding to the grouping results of the electric equipment can be determined by combining a plurality of preset energy supply sub-control strategies and feature screening conditions corresponding to each preset energy supply sub-control strategy.

In one embodiment, as shown in fig. 4, step S130 includes:

s131, aiming at each electric equipment sub-grouping result in the electric equipment grouping result, acquiring preset electric equipment characteristic data corresponding to the electric equipment sub-grouping result;

s132, obtaining the estimated photovoltaic power generation amount in the current time period in the first equipment parameter of the photovoltaic module and the current residual electric quantity in the current day in the second equipment parameter of the energy storage module, and forming an energy supply sub-feature corresponding to the electric equipment sub-grouping result by preset electric equipment feature data corresponding to the electric equipment sub-grouping result;

s133, obtaining characteristic screening conditions respectively corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy;

s134, acquiring target feature screening conditions which are met by the energy supply sub-features in a plurality of feature screening conditions, and taking a preset energy supply sub-control strategy corresponding to the target feature screening conditions as an energy supply sub-control strategy of the electric equipment sub-grouping result.

In this embodiment, because the estimated photovoltaic power generation amount and the current remaining power of the day in the current time periods respectively corresponding to the photovoltaic module and the energy storage module in the different time periods of the day in the intelligent industrial park are different, in order to adopt a more flexible energy supply sub-control strategy, the preset electric equipment characteristic data corresponding to the electric equipment sub-grouping result can be obtained for each electric equipment sub-grouping result in the electric equipment grouping result. Then, for example, taking the example that the preset electric equipment characteristic data corresponding to the electric equipment sub-grouping result is obtained, and then the energy supply sub-characteristic is obtained, combining the preset electric equipment characteristic data with the estimated photovoltaic power generation amount in the current time period in the first equipment parameter of the photovoltaic module and the current residual electric quantity in the current day in the second equipment parameter of the energy storage module to obtain the energy supply sub-characteristic. And then, respectively judging whether the energy supply sub-feature is matched with feature screening conditions respectively corresponding to a plurality of preset energy supply sub-control strategies, so as to screen out target feature screening conditions. And finally, taking a preset energy supply sub-control strategy corresponding to the target feature screening condition as the energy supply sub-control strategy of the electric equipment sub-grouping result. Therefore, the process combines the acquisition and matching of the energy supply sub-features, and the energy supply sub-control strategy for quickly determining the sub-grouping result of the electric equipment is realized.

In one embodiment, step S134 includes:

And if the characteristic screening conditions of the characteristic screening conditions corresponding to the preset energy supply sub-control strategies in the energy supply control strategy are determined to be matched with the energy supply sub-characteristics, taking the corresponding characteristic screening conditions as target characteristic screening conditions.

In this embodiment, for example, for a powered device sub-grouping result 1, an identification value corresponding to ac/dc power utilization priority information in corresponding preset powered device feature data1 is2, a feature screening condition 1 of one preset energy supply sub-control policy among feature screening conditions respectively corresponding to multiple preset energy supply sub-control policies in the energy supply control policy is set to be that a photovoltaic power generation amount estimated in a current time period is larger than a first preset estimated photovoltaic power generation amount, a current day remaining power is larger than a first preset energy storage module remaining power, and an identification value corresponding to ac/dc power utilization priority information is2, a photovoltaic power generation amount is estimated in the current time period in the powered device sub-grouping result 1 in combination with the current day remaining power in a first device parameter of the photovoltaic module, the feature screening condition 1 in a second device parameter of the energy storage module meets the feature screening condition 1 (that the feature screening condition 1 is matched with the energy supply sub-feature 1 at this time), and the feature screening condition 1 can be used as a target feature screening condition, and the power supply sub-control policy corresponding to the target feature screening condition is used as the powered device sub-control policy. For example, the energy source supply sub-control strategy is provided with first priority power supply of the energy storage module, second priority power supply of the photovoltaic module and third priority power supply of the mains supply, and when the second priority power supply of the photovoltaic module is performed, the electric energy generated by the photovoltaic module is transmitted to the direct current distribution module for alternating current-direct current conversion, then is input to the electric equipment of the internet of things, and then the electric energy generated by the photovoltaic module is directly transmitted to the electric equipment of the internet of things. The above process describes a specific process of determining the power supply sub-control strategy of the sub-group result of one electric device, and the specific process of the power supply sub-control strategy of the sub-group result of other electric devices can also refer to the above process.

The current time period in the first equipment parameter of the photovoltaic module predicts the photovoltaic power generation amount, the current residual quantity of the current day in the second equipment parameter of the energy storage module has different value conditions in different time periods, and the energy supply sub-control strategy aiming at the sub-grouping result of the same electric equipment can also have different conditions in different time periods, so that the flexible adjustment of the electric equipment power supply strategy aiming at the Internet of things is realized.

And S140, the control module controls the photovoltaic module and/or the energy storage module to supply power to the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping result based on the energy supply sub-control strategy respectively corresponding to the electric equipment sub-grouping result.

In this embodiment, after the energy supply sub-control policies corresponding to the sub-grouping results of the electric devices respectively in the current time period are obtained in the edge server, the photovoltaic module and/or the energy storage module may be correspondingly controlled to supply power to the electric devices of the internet of things in the corresponding sub-grouping results of the electric devices. For example, in the energy supply sub-control strategy, only the energy storage module is limited to supply power to the electric equipment of the internet of things in the corresponding electric equipment sub-grouping result, and then the energy supply sub-control strategy is specifically executed to supply power to the electric equipment of the internet of things in the electric equipment sub-grouping result through the energy storage module by the direct current distribution module. Therefore, the intelligent power supply to the electric equipment of the Internet of things in the sub-grouping result of each electric equipment is realized through the mode.

In one embodiment, as shown in fig. 5, step S140 includes:

S141, aiming at each electric equipment sub-grouping result in the plurality of electric equipment sub-grouping results, acquiring an energy supply sub-control strategy corresponding to the electric equipment sub-grouping result, and determining current power supply priority information corresponding to the energy supply sub-control strategy;

s142, determining the power supply sequence of the photovoltaic module, the energy storage module and the power supply of the access mains supply based on the power supply equipment type sequence included in the current power supply priority information, and correspondingly controlling the energy storage module, the photovoltaic module and the power supply of the access mains supply to supply power to all the electric equipment of the Internet of things in the electric equipment sub-grouping result.

In this embodiment, for example, still referring to the above example, in the electrical equipment sub-grouping result 1, the energy supply sub-control policy corresponding to the current time period is that the energy storage module first preferentially supplies power, the photovoltaic module second preferentially supplies power, and the mains supply is connected to the third preferentially supplies power, and when the photovoltaic module second preferentially supplies power, the electrical energy generated by the photovoltaic module photovoltaic power is transmitted to the direct current distribution module for ac-dc conversion, then is input to the electrical equipment of the internet of things, and then the electrical energy generated by the photovoltaic module photovoltaic power is directly transmitted to the electrical equipment of the internet of things. In this example, a specific power supply procedure is as follows:

1) The energy storage module is controlled to supply power to all the electric devices of the Internet of things in the electric device sub-grouping result, and if the current time period is an evening time period with weak illumination intensity, the energy storage module can be charged by electric energy generated by photovoltaic power generation of the photovoltaic module;

2) When the electric quantity in the energy storage module is lower than a preset minimum electric quantity threshold value, switching to the state that the electric energy generated by the photovoltaic module is transmitted to the direct current distribution module for alternating current-direct current conversion treatment, and then inputting the electric energy to the electric equipment of the Internet of things for power supply;

3) When the current photovoltaic power generation power of the photovoltaic module is lower than the lowest photovoltaic power generation power threshold, the current photovoltaic power generation power is switched to be connected with the mains supply to supply power to the electric equipment of the Internet of things.

In one embodiment, after step S140, the method further includes:

If the control module detects that the electric equipment sub-grouping result has an abnormal electric utilization state, abnormal electric utilization prompt information corresponding to the electric equipment sub-grouping result is generated, and the abnormal electric utilization prompt information is sent to the edge server, so that the edge server sends the abnormal electric utilization prompt information to a corresponding receiving terminal.

In this embodiment, because the electricity consumption of the internet of things electric device in the unit time length in each electric device sub-grouping result can be uploaded to the control module for analysis, when at least one electric device of the internet of things has an abnormal electricity consumption state in at least one electric device sub-grouping result (for example, when the electricity consumption rate in the past minute exceeds 200% compared with the electricity consumption rate in the previous minute, the abnormal electricity consumption state of the internet of things electric device can be determined), the unique number of the electric device of the internet of things electric device and the area to which the electric device belongs can be obtained and filled into a preset message template, abnormal electricity consumption prompt information is generated, and the abnormal electricity consumption prompt information is sent to the edge server, so that the edge server sends the abnormal electricity consumption prompt information to a corresponding receiving terminal. Therefore, by the method, the abnormal electricity utilization prompt information corresponding to the sub-grouping result of the corresponding electric equipment can be generated for the electric equipment of the Internet of things with the abnormal state in the intelligent industrial park in time, and the abnormal state can be removed in time by sending the abnormal electricity utilization prompt information to the receiving terminal used by the maintenance personnel through the edge server.

Therefore, after the embodiment of the method is implemented, after the electric equipment of the Internet of things in the intelligent industrial park is automatically grouped in the edge server based on the electric equipment information, the corresponding energy supply sub-control strategy is intelligently determined according to different electric equipment sub-grouping results and the first equipment parameters of the photovoltaic module and the second equipment parameters of the energy storage module, and the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping results is intelligently controlled according to the energy supply sub-control strategy.

Fig. 1 is a schematic block diagram of an intelligent control system for industrial park electricity based on optical storage direct-softening internet of things, which is provided by the embodiment of the invention. As shown in fig. 1, the invention further provides an intelligent control system for industrial park electricity based on the optical storage direct-softening internet of things, which corresponds to the intelligent control method for industrial park electricity based on the optical storage direct-softening internet of things. This intelligent control system for industrial park electricity based on direct soft thing networking of optical storage is applied to intelligent industrial park, be provided with edge server 10, control module 20, photovoltaic module 30, energy storage module 40, direct current distribution module 50 and a plurality of thing networking consumer 60 in the intelligent industrial park, photovoltaic module 30 with energy storage module 40 reaches direct current distribution module 50 is connected, energy storage module 40 with direct current distribution module 50 is connected, direct current distribution module 50 with a plurality of thing networking consumer 60 are connected, control module 20 with photovoltaic module 30 energy storage module 40 direct current distribution module 50 with a plurality of thing networking consumer 60 all communication connection control module 20 still with edge server 10 communication connection, edge server 10 still is connected with cloud server communication. The photovoltaic module 30 may be implemented by a solar photovoltaic power generation device, the energy storage module 40 may be implemented by a lithium battery (a charging pile disposed in an intelligent industrial park may also be used as one of the energy storage modules and may be used for charging an electric vehicle), and the dc power distribution module 50 may be implemented by a low-voltage dc power distribution system.

The control module 20 is configured to obtain, in response to an instruction for grouping the electric devices of the internet of things, information about the electric devices sent by the electric devices of the internet of things, and send the information to an edge server.

The edge server 10 is configured to determine a grouping result of the electric devices corresponding to the electric devices of the internet of things based on the electric device information respectively corresponding to the electric devices of the internet of things and a preset electric device grouping policy.

In one embodiment, the edge server 10 is specifically configured to:

Aiming at each Internet of things electric device of the plurality of Internet of things electric devices, acquiring electric device information of the Internet of things electric devices, and determining electric device characteristic data corresponding to the electric device information;

Acquiring a plurality of preset electric equipment characteristic data in the electric equipment grouping strategy and a sub-grouping result corresponding to each preset electric equipment characteristic data;

Matching the electric equipment characteristic data corresponding to the electric equipment of the Internet of things with a plurality of preset electric equipment characteristic data in the electric equipment grouping strategy to obtain a target sub-grouping result corresponding to the electric equipment of the Internet of things;

And summarizing target sub-grouping results corresponding to the electric equipment of the Internet of things to obtain the electric equipment grouping result.

In an embodiment, the obtaining the information of the electric equipment of the internet of things and determining the characteristic data of the electric equipment corresponding to the information of the electric equipment include:

matching the electric equipment characteristic data corresponding to the electric equipment of the Internet of things with a plurality of preset electric equipment characteristic data in the electric equipment grouping strategy, and obtaining a target sub-grouping result corresponding to the electric equipment of the Internet of things comprises the following steps:

The edge server 10 is further configured to determine, if the current day power consumption planning instruction is detected, an energy supply sub-control policy corresponding to each of the plurality of power consumption device sub-grouping results in the power consumption device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power consumption device grouping result, and a preset energy supply control policy, and send the energy supply sub-control policy to the control module.

In this embodiment, after the intelligent quick grouping of the electric devices of the internet of things in the intelligent industrial park is completed in the edge server, the process can be understood as completing the checking of the electric devices of the internet of things in the intelligent industrial park, and the above process can be understood as being executed only after the construction of the intelligent industrial park and the deployment and initialization stages of the electric devices of the internet of things are completed, and then the execution is not needed again. The edge server can determine energy supply sub-control strategies corresponding to a plurality of electric equipment sub-grouping results in the electric equipment grouping result respectively based on the first equipment parameter of the photovoltaic module, the second equipment parameter of the energy storage module, the electric equipment grouping result and a preset energy supply control strategy when the electric equipment planning instruction of the current day is detected every day. For example, a timing automatic execution task may be set in the edge server, so as to generate a current solar electricity planning instruction at multiple times per day (for example, after the current solar electricity planning instruction is detected in the edge server each time per day 00: 01、1:01、2:01、3:01、4:01、5:01、6:01、7:01、8:01、9:01、10:01、11:01、12:01、13:01、14:01、15:01、16:01、17:01、18:01、19:01、20:01、20:01、21:01、22:01、23:01）., an equipment parameter acquisition instruction is sent to the photovoltaic module and the energy storage module respectively, so as to acquire a first equipment parameter of the photovoltaic module and acquire a second equipment parameter of the energy storage module, where the first equipment parameter at least includes solar average photovoltaic power generation amount and solar average photovoltaic power generation power of the photovoltaic equipment, a current period of time predicts photovoltaic power generation amount (generally corresponds to a current period of time from a current time of generation time of the photovoltaic module to a next time of generation time of the current solar electricity planning instruction, and a photovoltaic power generation amount estimated formula of the photovoltaic power generation amount is e=a photovoltaic module's photovoltaic power generation maximum area, an equivalent peak value is small, a conversion efficiency (1-photovoltaic power generation amount) of the photovoltaic module is calculated by using a photovoltaic module, a current period of time is calculated by combining the current illumination intensity data of the current period of the photovoltaic module and a preset photovoltaic power generation amount estimated formula, a current period of time is calculated by combining the current period of time, and the photovoltaic power generation amount estimated formula is a current period of time, and the photovoltaic power generation loss is calculated by using a current average power consumption of the photovoltaic module is calculated by the photovoltaic module and the current energy loss of the photovoltaic module is calculated by a current power consumption of the photovoltaic module.

In one embodiment, the edge server 10 is further specifically configured to:

Aiming at each electric equipment sub-grouping result in the electric equipment grouping result, acquiring preset electric equipment characteristic data corresponding to the electric equipment sub-grouping result;

Obtaining the estimated photovoltaic power generation amount in the current time period in the first equipment parameter of the photovoltaic module and the current residual electric quantity on the current day in the second equipment parameter of the energy storage module, and forming the energy supply sub-feature corresponding to the electric equipment sub-grouping result by preset electric equipment feature data corresponding to the electric equipment sub-grouping result;

acquiring characteristic screening conditions respectively corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy;

And acquiring target feature screening conditions which are met by the energy supply sub-features in a plurality of feature screening conditions, and taking a preset energy supply sub-control strategy corresponding to the target feature screening conditions as an energy supply sub-control strategy of the electric equipment sub-grouping result.

In an embodiment, the obtaining the target feature screening condition that the energy supply sub-feature satisfies in the plurality of feature screening conditions includes:

The control module 20 is further configured to control the photovoltaic module and/or the energy storage module to supply power to the electric device of the internet of things in the corresponding electric device sub-grouping result based on the energy supply sub-control policies respectively corresponding to the plurality of electric device sub-grouping results.

In one embodiment, the control module 20 is further specifically configured to:

Aiming at each electric equipment sub-grouping result in the plurality of electric equipment sub-grouping results, acquiring an energy supply sub-control strategy corresponding to the electric equipment sub-grouping result, and determining current power supply priority information corresponding to the energy supply sub-control strategy;

And determining the power supply sequence of the photovoltaic module, the energy storage module and the power supply of the access mains supply based on the type sequence of the power supply equipment included in the current power supply priority information, and correspondingly controlling the energy storage module, the photovoltaic module and the power supply of the access mains supply to supply power to all the electric equipment of the Internet of things in the electric equipment sub-grouping result.

In this embodiment, for example, still referring to the above example, in the electrical equipment sub-grouping result 1, the energy supply sub-control policy corresponding to the current time period is that the energy storage module first preferentially supplies power, the photovoltaic module second preferentially supplies power, and the mains supply is connected to the third preferentially supplies power, and when the photovoltaic module second preferentially supplies power, the electrical energy generated by the photovoltaic module photovoltaic power is transmitted to the direct current distribution module for ac-dc conversion, then is input to the electrical equipment of the internet of things, and then the electrical energy generated by the photovoltaic module photovoltaic power is directly transmitted to the electrical equipment of the internet of things.

In an embodiment, the control module 20 in the intelligent control system for industrial park electricity consumption based on the optical storage direct soft internet of things is further configured to:

If the abnormal electricity utilization state exists in the electric equipment sub-grouping result, abnormal electricity utilization prompt information corresponding to the electric equipment sub-grouping result is generated, and the abnormal electricity utilization prompt information is sent to the edge server, so that the edge server sends the abnormal electricity utilization prompt information to the corresponding receiving terminal.

Therefore, after the embodiment of the system is implemented, after the electric equipment of the Internet of things in the intelligent industrial park is automatically grouped in the edge server based on the electric equipment information, the corresponding energy supply sub-control strategy is intelligently determined according to different electric equipment sub-grouping results and the first equipment parameters of the photovoltaic module and the second equipment parameters of the energy storage module, and the electric equipment of the Internet of things in the corresponding electric equipment sub-grouping results is intelligently controlled according to the energy supply sub-control strategy.

Those of ordinary skill in the art will appreciate that the elements and algorithm steps described in connection with the embodiments disclosed herein may be embodied in electronic hardware, in computer software, or in a combination of the two, and that the elements and steps of the examples have been generally described in terms of function in the foregoing description to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the device embodiments described above are merely illustrative. For example, the division of each unit is only one logic function division, and there may be another division manner in actual implementation. For example, multiple units or components may be combined or may be integrated into another system, or some features may be omitted, or not performed.

The steps in the method of the embodiment of the invention can be sequentially adjusted, combined and deleted according to actual needs. The units in the device of the embodiment of the invention can be combined, divided and deleted according to actual needs. In addition, each functional unit in the embodiments of the present invention may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The integrated unit may be stored in a storage medium if implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, the technical solution of the present invention is essentially or a part contributing to the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a terminal, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention.

While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.

Claims

1. An intelligent power control method for an industrial park based on photovoltaic, direct current, flexible storage and the Internet of Things, applied to a smart industrial park, characterized in that an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of Internet of Things power-consuming devices are provided in the smart industrial park, the photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of Internet of Things power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of Internet of Things power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to a cloud server; the intelligent power control method for an industrial park based on photovoltaic, direct current, flexible storage and the Internet of Things comprises:

The control module responds to the IoT power-consuming device grouping instruction, obtains the power-consuming device information respectively sent by the plurality of IoT power-consuming devices, and sends it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the region to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device;

The edge server determines the power device grouping results corresponding to the multiple IoT power devices based on the power device information respectively corresponding to the multiple IoT power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results;

If the edge server detects the daily electricity consumption planning instruction, it determines the energy supply sub-control strategies corresponding to the multiple electric device sub-grouping results in the electric device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the electric device grouping result and the preset energy supply control strategy, and sends them to the control module;

The control module controls the photovoltaic module and/or the energy storage module to supply power to the IoT power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

2. The method according to claim 1, characterized in that the determining of the power device grouping results corresponding to the plurality of IoT power devices based on the power device information respectively corresponding to the plurality of IoT power devices and a preset power device grouping strategy comprises:

For each of the plurality of IoT power-consuming devices, acquiring power-consuming device information of the IoT power-consuming device, and determining power-consuming device characteristic data corresponding to the power-consuming device information;

Acquire multiple preset electric device characteristic data in the electric device grouping strategy, and sub-grouping results corresponding to each preset electric device characteristic data;

Matching the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things;

The target sub-grouping results corresponding to multiple IoT electrical devices are aggregated to obtain the electrical device grouping result.

3. The method according to claim 2, characterized in that the obtaining of the electrical equipment information of the IoT electrical equipment and determining the electrical equipment characteristic data corresponding to the electrical equipment information comprises:

Obtain the type of electric device, the area to which the electric device belongs, and the AC and DC power usage priority information of the electric device in the electric device information, and determine a first identification value corresponding to the type of electric device, a second identification value corresponding to the area to which the electric device belongs, and a third identification value corresponding to the AC and DC power usage priority information;

The first identification value, the second identification value and the third identification value form an identification value vector as the electric device characteristic data corresponding to the electric device information;

The matching of the electric device characteristic data corresponding to the electric device of the Internet of Things with a plurality of preset electric device characteristic data in the electric device grouping strategy to obtain a target sub-grouping result corresponding to the electric device of the Internet of Things includes:

If it is determined that the power device characteristic data corresponding to the Internet of Things power device is the same as one of the preset power device characteristic data, then the sub-grouping result corresponding to the corresponding preset power device characteristic number is obtained as the target sub-grouping result corresponding to the Internet of Things power device.

4. The method according to claim 3, characterized in that if the daily power consumption planning instruction is detected, then based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power device grouping result and the preset energy supply control strategy, the energy supply sub-control strategy corresponding to the multiple power device sub-grouping results in the power device grouping result is determined, including:

For each electric device sub-grouping result in the electric device grouping result, obtaining preset electric device characteristic data corresponding to the electric device sub-grouping result;

Obtain the estimated photovoltaic power generation in the current time period from the first device parameter of the photovoltaic module and the current remaining power of the day from the second device parameter of the energy storage module, and form the energy supply sub-feature corresponding to the sub-grouping result of the electrical equipment with the preset electrical equipment feature data corresponding to the sub-grouping result of the electrical equipment;

Obtaining characteristic screening conditions corresponding to a plurality of preset energy supply sub-control strategies in the energy supply control strategy;

A target feature screening condition satisfied by the energy supply sub-feature among multiple feature screening conditions is obtained, and a preset energy supply sub-control strategy corresponding to the target feature screening condition is used as the energy supply sub-control strategy of the electrical equipment sub-grouping result.

5. The method according to claim 4, characterized in that the step of obtaining the target feature screening condition satisfied by the energy supply sub-feature among a plurality of feature screening conditions comprises:

If it is determined that the feature screening conditions corresponding to the multiple preset energy supply sub-control strategies in the energy supply control strategy have feature screening conditions that match the energy supply sub-features, the corresponding feature screening conditions are used as target feature screening conditions.

6. The method according to claim 1, characterized in that the energy supply sub-control strategies corresponding to the plurality of power-consuming device sub-grouping results respectively control the photovoltaic module and/or the energy storage module to supply power to the IoT power-consuming devices in the corresponding power-consuming device sub-grouping results, comprising:

For each of the plurality of electric device sub-grouping results, obtaining an energy supply sub-control strategy corresponding to the electric device sub-grouping result, and determining current power supply priority information corresponding to the energy supply sub-control strategy;

Based on the order of power supply equipment types included in the current power supply priority information, the power supply order of the photovoltaic module, the energy storage module and the mains power supply is determined, and the energy storage module, the photovoltaic module and the mains power supply are controlled accordingly to supply power to each IoT power-consuming device in the power-consuming device sub-grouping result.

7. The method according to claim 1 is characterized in that after the step of controlling the photovoltaic module and/or the energy storage module to supply power to the IoT power consumer in the corresponding power consumer sub-grouping results based on the energy supply sub-control strategies respectively corresponding to the multiple power consumer sub-grouping results, the method further comprises:

If the control module detects that an abnormal power usage state exists in the power-using device sub-grouping result, it generates abnormal power usage prompt information corresponding to the power-using device sub-grouping result, and sends the abnormal power usage prompt information to the edge server, so that the edge server sends the abnormal power usage prompt information to the corresponding receiving terminal.

8. An intelligent control system for power consumption in an industrial park based on photovoltaic, direct current, storage and the Internet of Things, which is applied to a smart industrial park, characterized in that an edge server, a control module, a photovoltaic module, an energy storage module, a DC distribution module and a plurality of Internet of Things power-consuming devices are arranged in the smart industrial park, the photovoltaic module is connected to the energy storage module and the DC distribution module, the energy storage module is connected to the DC distribution module, the DC distribution module is connected to the plurality of Internet of Things power-consuming devices, the control module is communicatively connected to the photovoltaic module, the energy storage module, the DC distribution module and the plurality of Internet of Things power-consuming devices, the control module is also communicatively connected to the edge server, and the edge server is also communicatively connected to the cloud server;

The control module is used to respond to the IoT power-consuming device grouping instruction, obtain the power-consuming device information respectively sent by the multiple IoT power-consuming devices, and send it to the edge server; wherein the power-consuming device information at least includes the unique number of the power-consuming device, the type of the power-consuming device, the area to which the power-consuming device belongs, the AC and DC power priority information of the power-consuming device, and the power consumption of the power-consuming device;

The edge server is used to determine the power device grouping results corresponding to the multiple Internet of Things power devices based on the power device information respectively corresponding to the multiple Internet of Things power devices and the preset power device grouping strategy; wherein the power device grouping result includes multiple power device sub-grouping results;

The edge server is further configured to determine, if a daily power consumption planning instruction is detected, energy supply sub-control strategies corresponding to the plurality of power consumption device sub-grouping results in the power consumption device grouping result based on the first device parameter of the photovoltaic module, the second device parameter of the energy storage module, the power consumption device grouping result and the preset energy supply control strategy, and send the energy supply sub-control strategies to the control module;

The control module is also used to control the photovoltaic module and/or the energy storage module to supply power to the Internet of Things power users in the corresponding power user sub-grouping results based on the energy supply sub-control strategies corresponding to the multiple power user sub-grouping results.

9. The intelligent control system for power consumption in industrial parks based on solar-storage-direct-flexible and Internet of Things according to claim 8 is characterized in that the power consumption information corresponding to the multiple Internet of Things power consumption devices and the preset power consumption device grouping strategy are used to determine the power consumption device grouping results corresponding to the multiple Internet of Things power consumption devices, including:

10. The intelligent control system for power consumption in industrial parks based on solar-storage-direct-flexible and Internet of Things according to claim 9 is characterized in that the step of obtaining power consumption information of the power consumption equipment of the Internet of Things and determining power consumption characteristic data corresponding to the power consumption information comprises: