CN117439274A

CN117439274A - State monitoring method based on energy management control system

Info

Publication number: CN117439274A
Application number: CN202311736486.0A
Authority: CN
Inventors: 陈志雄; 黄飞艳
Original assignee: Guangzhou Vensi Intelligent Technology Co ltd
Current assignee: Guangzhou Vensi Intelligent Technology Co ltd
Priority date: 2023-12-18
Filing date: 2023-12-18
Publication date: 2024-01-23
Anticipated expiration: 2043-12-18
Also published as: CN117439274B

Abstract

The state monitoring method based on the energy management control system can effectively determine whether energy allocation should be performed or not by evaluating the energy control parameters of the second management unit based on the equipment state data, if yes, the designated energy allocation node and the designated energy allocation scale configured by the first energy management equipment for the second management unit are acquired, the accuracy and timeliness of energy allocation are guaranteed, and the use efficiency of energy is optimized. In addition, according to the designated energy allocation node, the designated energy allocation scale and the related information of the first and second management units, an energy scheduling identification code is generated in the energy management control subsystem, so that the second energy management device can transfer the target energy resource to the first management unit on line. The determination of the target energy resource is determined by the energy allocation scale, and the second energy management device belongs to the second management unit, so that the safety and traceability of the energy allocation activity are ensured.

Description

State monitoring method based on energy management control system

Technical Field

The application relates to the technical field of energy management control systems, in particular to a state monitoring method based on an energy management control system.

Background

Currently existing solar energy management systems rely on traditional electricity market and dispatch models that typically include manual or semi-automatic monitoring and operational procedures. However, these methods often lack flexibility to accommodate rapidly changing market demands and complex supply chains. For example, existing systems may not be able to respond in time to energy demand changes caused by an incident, or to conduct real-time energy interactions and deployment among multiple management units.

In addition, the current energy allocation method also faces the problem of information island, different energy management devices often adopt different data standards and communication protocols, so that data exchange and integration are difficult, and the execution efficiency and accuracy of scheduling instructions are affected. The lack of a unified data interaction mechanism and a security verification system makes the energy allocation process easily threatened by security, thereby affecting the stable operation of the whole energy supply network.

Disclosure of Invention

In order to at least overcome the above-mentioned shortcomings in the prior art, an object of the present application is to provide a state monitoring method based on an energy management control system.

In a first aspect, the present application provides a state monitoring method based on an energy management control system, applied to an energy state monitoring system, the method including:

Collecting equipment state data recorded in an energy management control subsystem by first energy management equipment; the energy management control subsystem is embedded in a monitoring platform, and the monitoring platform aims at realizing real-time data interaction between the first management unit and M energy management devices subordinate to the first management unit; the M energy management devices include the first energy management device; the device state data reflects state information of the second management unit; the energy management control subsystem aims at coordinating energy flow between the first management unit and the second management unit;

the energy control parameters of the second management unit aiming at the first management unit are evaluated based on the equipment state data, and if the energy control parameters are normal energy control parameters, the designated energy allocation nodes and the designated energy allocation scale configured by the first energy management equipment for the second management unit are obtained;

generating an energy scheduling identification code in the energy management control subsystem based on the designated energy allocation node, the designated energy allocation scale, the first management unit and the second management unit; the energy scheduling identification code is used for the second energy management equipment to allocate the target energy resources to the first management unit on line based on the designated energy allocation node; the target energy resource is determined by an energy allocation scale, and the second energy management device is subordinate to the second management unit.

In a possible implementation manner of the first aspect, the collecting device state data entered by the first energy management device in the energy management control subsystem includes:

responding to an activation instruction of the first energy management equipment aiming at the energy management control subsystem, and presenting a query interface comprising an input field; the input field is used for guiding the first energy management equipment to record the state data of the second management unit;

responding to the data input behavior of the first energy management equipment in the input field, and determining that the state data submitted by the first energy management equipment through the data input behavior is equipment state data;

or, feeding back the operation of the first energy management equipment starting the energy management control subsystem, and displaying a query interface with an identification module; the identification module is used for assisting the first energy management equipment to input an operation code related to the first management unit through the identification module;

responding to the action of the first energy management equipment triggering identification module, and capturing a set operation code;

identifying other management units except the first management unit as second management units in the management unit group involved in the given operation code;

Collecting state data of the second management units, and outputting the state data of the second management units as the equipment state data;

the evaluating the energy control parameters of the second management unit for the first management unit based on the device state data includes:

acquiring equipment credential data corresponding to the equipment state data, and outputting the equipment state data and the equipment credential data as to-be-evaluated data of the second management unit;

generating evaluation guide information based on the data to be evaluated, and transmitting the data to be evaluated and the evaluation guide information to the first energy management equipment; the evaluation guide information is used for guiding the first energy management equipment to evaluate the data to be evaluated;

acquiring evaluation data of the first energy management equipment aiming at the data to be evaluated;

outputting the energy control parameters of the second management unit for the first management unit as normal energy control parameters if the evaluation data indicate that the result is correct;

outputting the energy control parameter of the second management unit for the first management unit as an abnormal energy control parameter if the evaluation data indicates that the result is wrong;

The obtaining the designated energy allocation node and the designated energy allocation scale configured by the first energy management device for the second management unit includes:

acquiring a basic energy allocation node sequence and a basic energy allocation scale; each basic energy allocation node in the basic energy allocation node sequence is an energy allocation node passing the credential verification;

issuing the basic energy allocation node sequence and the basic energy allocation scale to the first energy management equipment;

responding to a node screening instruction of the first energy management equipment aiming at the basic energy allocation node sequence, and outputting a basic energy allocation node screened by the node screening instruction as a designated energy allocation node configured by the first energy management equipment for the second management unit;

and responding to an updating instruction of the first energy management equipment aiming at the basic energy allocation scale, and outputting the energy allocation scale indicated by the updating instruction as a designated energy allocation scale configured by the first energy management equipment for the second management unit.

In a possible implementation manner of the first aspect, the method further includes:

Loading the energy scheduling identification code in an energy interaction space of a first energy end, and a transmission module aiming at the energy scheduling identification code; the first energy end reflects a management end corresponding to the first energy management equipment;

responding to a starting instruction of the first energy management equipment aiming at the transfer module, and outputting a list of associated energy management equipment; each associated energy management device in the associated energy management device list reflects an energy management device which has an energy supply association relationship with the first energy management device and a subordinate relationship with the second management unit in the monitoring platform;

responding to an equipment screening instruction of the first energy management equipment aiming at the associated energy management equipment list, and outputting associated energy management equipment screened by the equipment screening instruction as the second energy management equipment;

generating an energy scheduling guide instance aiming at the energy scheduling identification code, and transmitting the energy scheduling guide instance to the second energy management equipment; the energy scheduling guiding instance is used for guiding the second energy management equipment, enters the energy management control subsystem based on the energy scheduling guiding instance within a first set authorization period, and transfers the target energy resource to the first management unit on line based on the designated energy allocation node in the energy management control subsystem.

loading the energy scheduling identification code in an energy interaction space of a first energy end, and aiming at the energy scheduling identification code, a cache module; the first energy end reflects a management end corresponding to the first energy management equipment;

responding to a starting instruction of the first energy management equipment aiming at the cache module, generating an identification code snapshot containing the energy scheduling identification code, and caching the identification code snapshot;

when receiving a snapshot transmission instruction of the first energy management device aiming at the identification code snapshot, issuing the identification code snapshot to the second energy management device; the identification code snapshot is used for indicating the second energy management equipment to enter the energy management control subsystem through the identification loading action of the identification code snapshot in a second set authorization period, and the target energy resource is transferred to the first management unit on line based on the designated energy allocation node in the energy management control subsystem.

When the first management unit allocates the target energy resource, outputting an energy allocation path between the first management unit and the second management unit, the designated energy allocation node and the designated energy allocation scale as a target energy scheduling log for the target energy resource;

loading the target energy scheduling log into a scheduling log sequence of the first management unit to generate a target scheduling log sequence; and each energy scheduling log covered in the target scheduling log sequence is used for the first management unit to perform energy verification.

receiving a cancellation application of the first energy management device for the target energy scheduling log;

acquiring energy allocation end information and energy assignee end information of the target energy resource based on the cancellation application; the energy allocation end information belongs to the second management unit, and the energy assignee end information belongs to the first management unit; the energy allocation terminal information and the energy assignee terminal information both belong to the appointed energy allocation node;

And acquiring the target energy resource from the energy assigned end information, and returning the target energy resource to the energy allocation end information.

In a possible implementation manner of the first aspect, the energy management control subsystem performs data interaction with the first management unit based on a unit API of the first management unit; the unit API reflects a data interaction channel of a data monitoring module of the first management unit;

the loading the target energy scheduling log into the scheduling log sequence of the first management unit to generate a target scheduling log sequence comprises the following steps:

based on the unit API, sending an information retrieval instruction to a data monitoring module of the first management unit based on the unit API; the information retrieval instruction is used for requesting to acquire a scheduling log sequence of the first management unit;

receiving a scheduling log sequence of the first management unit returned by the data monitoring module according to the information retrieval instruction;

and loading the target energy scheduling log into a scheduling log sequence of the first management unit to generate a target scheduling log sequence.

Acquiring an energy scheduling instruction corresponding to the second energy management equipment;

acquiring target energy resources from the second management unit based on the energy scheduling instruction, and online transferring the target energy resources to the first management unit based on the energy scheduling node; the target energy resource is the energy resource indicated by the energy allocation scale;

the obtaining the energy scheduling instruction corresponding to the second energy management device includes:

receiving an energy scheduling guide instance which is sent by a first energy end and aims at the energy scheduling identification code; the energy scheduling guiding instance is used for guiding the second energy management equipment, entering the energy management control subsystem based on the energy scheduling guiding instance in a first set authorization period, and online transferring the target energy resource to the first management unit based on the designated energy allocation node in the energy management control subsystem;

loading the energy scheduling guide instance in a data interaction task; the data interaction task is used for carrying out data interaction between the first energy management device and the second energy management device;

responding to a starting instruction of the second energy management equipment aiming at the energy scheduling guide instance, and loading a verification module for confirming energy scheduling attribute data; the energy scheduling attribute data comprises the first management unit, the second management unit, the designated energy allocation node and the designated energy allocation scale;

Responding to the verification information of the second energy management equipment aiming at the verification module, and generating the energy scheduling instruction;

receiving an identification code snapshot which is sent by the first energy end and contains the energy scheduling identification code, wherein the identification code snapshot is used for indicating the second energy management equipment to enter the energy management control subsystem through the identification loading action of the identification code snapshot in a second set authorization period, and allocating the target energy resource to the first management unit on line based on the designated energy allocation node in the energy management control subsystem;

in a data interaction task, loading the identification code snapshot; the data interaction task is used for carrying out data interaction between the first energy management device and the second energy management device;

responding to the identification loading action of the second energy management equipment aiming at the identification code snapshot, and displaying a verification module for confirming energy scheduling attribute data; the energy scheduling attribute data comprises the first management unit, the second management unit, the designated energy allocation node and the designated energy allocation scale;

And responding to the verification information of the second energy management equipment aiming at the verification module, and generating the energy scheduling instruction.

In a possible implementation manner of the first aspect, the acquiring, based on the energy scheduling instruction, a target energy resource from the second management unit, and online transferring, based on the energy scheduling node, the target energy resource to the first management unit includes:

acquiring energy allocation end information and energy assignee end information of the target energy resource based on the energy scheduling instruction; the energy allocation end information belongs to the second management unit, and the energy assignee end information belongs to the first management unit; the energy allocation terminal information and the energy assignee terminal information both belong to the appointed energy allocation node;

and carrying out license verification on the second energy management equipment according to the energy allocation end information, acquiring the target energy resource from the energy allocation end when a license verification result is a license instruction, and online transferring the target energy resource to the energy assignee end.

In a second aspect, embodiments of the present application further provide an energy status monitoring system, where the energy status monitoring system includes a processor and a machine-readable storage medium, where the machine-readable storage medium stores a computer program, where the computer program is loaded and executed in conjunction with the processor to implement the status monitoring method based on the energy management control system of the first aspect above.

According to the technical scheme of any aspect, the embodiment of the application aims to improve energy flow coordination between the first management unit and the second management unit, and specifically covers acquisition of equipment state data recorded by the first energy management equipment in an energy management control subsystem embedded in the monitoring platform. The monitoring platform enables the first management unit to realize real-time data interaction with M subordinate energy management devices, wherein the first management unit comprises the first energy management device. The equipment state data reflects the state information of the second management unit, so that an accurate basis is provided for energy allocation.

By evaluating the energy control parameters of the second management unit based on the device status data, it can be effectively determined whether energy allocation should be performed. And when the energy control parameter is in the normal range, acquiring the designated energy allocation node and the designated energy allocation scale configured by the first energy management equipment for the second management unit. The process ensures the accuracy and timeliness of energy allocation, and further optimizes the use efficiency of energy.

In addition, an energy scheduling identification code is generated in the energy management control subsystem based on the specified energy allocation node, the specified energy allocation scale, and the information related to the first and second management units. This identification code enables the second energy management device to transfer the target energy resource online to the first management unit. The determination of the target energy resource is determined by the energy allocation scale, and the second energy management device belongs to the second management unit, so that the safety and traceability of the energy allocation activity are ensured.

Therefore, the method and the device can improve the automation level of energy management, reduce the risk of human misoperation, enhance the stability and reliability of energy supply, support more efficient energy distribution and utilization and provide economic benefits for users.

Drawings

For a clearer description of the technical solutions of the embodiments of the present application, reference will be made to the accompanying drawings, which are needed to be activated, for the sake of simplicity, and it should be understood that the following drawings only illustrate some embodiments of the present application and should therefore not be considered as limiting the scope, and that other related drawings can be obtained by those skilled in the art without the inventive effort.

Fig. 1 is a schematic flow chart of a state monitoring method based on an energy management control system according to an embodiment of the present application;

fig. 2 is a schematic functional block diagram of an energy status monitoring system for implementing the status monitoring method based on the energy management control system according to the embodiment of the present application.

Detailed Description

The following description is presented to enable one of ordinary skill in the art to make and use the application and is provided in the context of a particular application and its requirements. It will be apparent to those having ordinary skill in the art that various changes can be made to the disclosed embodiments and that the general principles defined herein may be applied to other embodiments and applications without departing from the principles and scope of the present application. Thus, the present application is not limited to the embodiments described, but is to be accorded the widest scope consistent with the claims.

Referring to fig. 1, the present application provides a state monitoring method based on an energy management control system, which includes the following steps.

Step S110, collecting equipment state data input by the first energy management equipment in the energy management control subsystem. The energy management control subsystem is embedded in a monitoring platform, and the monitoring platform aims to realize real-time data interaction between the first management unit and M energy management devices subordinate to the first management unit. The M energy management devices include the first energy management device. The device state data reflects state information of the second management unit. The energy management control subsystem is intended to coordinate the flow of energy between the first management unit and the second management unit.

The energy management control subsystem is an important component embedded in the monitoring platform, and is designed to realize real-time monitoring and control of the first management unit and M energy management devices subordinate to the first management unit. Through real-time data interaction with these devices, the subsystem is able to learn the status of each device and make corresponding management decisions accordingly.

The monitoring platform is used as a data integration and processing center of the whole system and collects real-time data from the first management unit and all subordinate energy management devices. Such data may include, but is not limited to, power generation, energy consumption, machine operating conditions, and the like. The monitoring platform provides a global view to the user using the data, allowing the user to track the performance of the overall system.

The first management unit may refer to an energy management system in a specific area (such as a solar power plant), and the M energy management devices are specific execution units under the system, such as each solar power generator. These devices participate directly in energy production or consumption and continuously report their status data to the monitoring platform.

The device status data not only relates to the situation inside the first management unit, but also includes a reflection of the status of the second management unit (e.g. regional grid operation center). Because the output of the first management unit needs to be matched with the requirement of the second management unit, the data of the first management unit can display whether the power supply requirement of the power grid is met or whether adjustment is needed to keep the power grid stable.

The main task of the energy management control subsystem is to coordinate the energy flow between the first management unit and the second management unit. This means that it has to analyze in real time whether the energy produced by the first management unit meets the requirements of the second management unit and make adjustments if necessary. If grid demand increases, the subsystem may instruct the solar farm to increase output; if grid demand decreases, the subsystem may instruct to decrease the output. This coordination ensures the balance of the grid and the reliability of the power supply.

The energy management control subsystem performs real-time data interaction with M energy management devices in the first management unit through the monitoring platform, and ensures that the energy production of the first management unit and the requirements of the second management unit are kept synchronous, so that effective energy flow and optimized energy management are realized.

For example, assume that there is one solar power generation field, which is a first energy management device composed of a plurality of solar power generators. This solar farm is designed to interact in real time with the energy management control subsystem. The energy management control subsystem is responsible for collecting real-time operation data of each solar generator, such as rotating speed, generating capacity and mechanical state, and transmitting the real-time operation data to the monitoring platform.

The monitoring platform not only receives the data of the first energy management device (solar generator) in real time, but also performs data interaction with other M energy management devices (possibly including solar panels, energy storage devices and the like). The monitoring platform executes the function through an embedded energy management control subsystem, so that the information of all devices is ensured to be integrated and analyzed.

In addition, these device status data also reflect status information of a second management unit (such as a regional grid operation center) connected to the solar farm. Thus, if the power production of the solar farm drops, this may mean that the grid demand is reduced or there is an excess of power.

Step S120, evaluating an energy control parameter of the second management unit for the first management unit based on the device status data, and if the energy control parameter is a normal energy control parameter, acquiring a designated energy allocation node and a designated energy allocation scale configured by the first energy management device for the second management unit.

For example, still taking the foregoing example as an example, on the basis of real-time data interaction between the solar farm and the monitoring platform, the energy management control subsystem may evaluate whether the energy control parameters of the second management unit to the first management unit are normal. The second management unit may be referred to as a regional power grid operation center, and is responsible for allocating power from the solar power generation field according to the energy requirements of the whole region.

For example, if the regional power grid requires more power to meet peak demand, the power generation of the solar farm should be increased. The energy management control subsystem will evaluate whether the current power generation meets this requirement and determine whether the output of the solar power generator needs to be adjusted in order to maintain the grid stable.

After the energy control parameters are determined to be normal, the energy management control subsystem acquires specific energy allocation nodes and scales from the solar power generation field so as to respond to the requirements of the power grid. For example, if the grid operation center predicts an increase in demand for a few hours in the future, the energy management control subsystem will select a particular solar generator (or set of generators) as the energy deployment node and determine the size of electricity that each generator should provide.

Assuming that the expected increase demand is 2000 kilowatt-hours, the solar farm can select its most efficient generator to meet this demand. The system will identify these generators and set the corresponding output targets, e.g., 5 generators are selected, each providing 400 kwh.

Step S130, generating an energy scheduling identification code in the energy management control subsystem based on the designated energy allocation node, the designated energy allocation scale, the first management unit and the second management unit. The energy scheduling identification code is used for the second energy management equipment to transfer the target energy resources to the first management unit on line based on the designated energy allocation node. The target energy resource is determined by an energy allocation scale, and the second energy management device is subordinate to the second management unit.

For example, the energy management control subsystem may now generate a unique energy schedule identifier for the upcoming energy allocation task. The energy scheduling identification code is used for identifying all relevant information of the energy scheduling, including a time stamp, a scheduling node identification and a scheduling scale.

Assuming that the deployment task is scheduled to be performed at 3 pm on 12 months 1, the solar generator sets involved are No. 5 to No. 9 sets in the north area, each providing 400 kwh, then the identification code may be: "202112011500-NORTH-0509-2000 kWh.

Once the energy scheduling identifier is generated, a second energy management device, possibly an advanced grid management system, located in the grid operation center will utilize this energy scheduling identifier to online allocate the power provided by the solar farm.

The grid management system will interpret the energy scheduling identification code and perform the corresponding deployment operation to ensure that the correct amount of power (2000 kilowatt-hours) is delivered from the designated generator set of the solar farm (No. 5 to No. 9 sets in north) to the place in the grid where it is needed at the designated time (12 months, 1 day, 3 pm). The allocation action is automatically completed without manual intervention, and allocation states can be tracked in real time so as to ensure balance and reliable power supply of the power grid.

Based on the above steps, the embodiment of the application aims to improve energy flow coordination between the first management unit and the second management unit, and specifically covers acquisition of equipment state data recorded by the first energy management equipment in an energy management control subsystem embedded in the monitoring platform. The monitoring platform enables the first management unit to realize real-time data interaction with M subordinate energy management devices, wherein the first management unit comprises the first energy management device. The equipment state data reflects the state information of the second management unit, so that an accurate basis is provided for energy allocation.

In one possible implementation, step S110 may include:

step S111, in response to the activation instruction of the first energy management device for the energy management control subsystem, presents a query interface including an input field. The input field is intended to direct the first energy management device to record status data of the second management unit.

Step S112, responding to the data input behavior of the first energy management device in the input field, and determining that the state data submitted by the first energy management device through the data input behavior is device state data.

For example, assuming a solar farm as the first energy management device, the embedded energy management control subsystem within the monitoring platform is responsible for processing the data for that farm and other energy management devices. This monitoring platform allows the solar farm (first energy management device) to interact in real time with the grid operation center (second management unit). When the solar power plant is started and an activation instruction is sent to the monitoring platform, the energy management control subsystem responds to the instruction and displays a query interface containing an input field to a solar power generator operator. This query interface is intended to guide the operator in entering relevant status data such as current power generation, rotational speed or maintenance requirements.

After the operator inputs data in the input field of the query interface, the energy management control subsystem confirms the data entry behaviors and determines the submitted information as the equipment state data of the solar generator. These device status data are then recorded and processed for subsequent analysis and decision making.

Alternatively, in other possible embodiments, step S113 provides feedback to the first energy management device to initiate operation of the energy management control subsystem, and presents a query interface with an identification module. The identification module assists the first energy management device in entering an operation code associated with the first management unit via the identification module.

Step S114, the first energy management device is responded to trigger the action of the identification module, and the established operation code is captured.

In step S115, among the management units involved in the predetermined operation code, other management units than the first management unit are identified as the second management unit.

Step S116, collecting the state data of the second management units, and outputting the state data of the second management units as the equipment state data.

For example, if an operator of the solar generator initiates operation of the launch energy management control subsystem instead of the automated system, the system will provide feedback and present a query interface with an identification module. This identification module assists the operator in entering an operation code associated with the first management unit (solar farm), such as a code for remotely adjusting the generator settings.

When the operator triggers the identification module and enters the operation codes, the energy management control subsystem captures these established operation codes. These codes may relate to specific generator regulation commands or other management tasks.

The energy management control subsystem identifies other management units than the first management unit in the management unit group as a second management unit (e.g., a regional power grid) according to the operation code. The system then starts to gather status data of the second management unit, such as grid load, demand fluctuations, etc.

The collected second management unit status data is output and marked as device status data. Therefore, the monitoring platform can integrate the data of the first energy management equipment (solar power plant) and the second management unit (power grid), so that the energy flow between the first energy management equipment (solar power plant) and the second energy management unit (power grid) is coordinated, the generated energy is optimized, and the stability of the power grid is guaranteed.

Each step of the above scene description is closely related to the real-time data exchange and management operation among the energy management control subsystem of the monitoring platform, the solar power generation field (first energy management device) and the power grid operation center (second management unit), so that the effective management of energy and the stability of a supply chain are ensured.

In step S120, evaluating energy control parameters of the second management unit for the first management unit based on the device status data, including:

step S121, acquiring device credential data corresponding to the device state data, and outputting both the device state data and the device credential data as to-be-evaluated data of the second management unit.

And step S122, generating evaluation guide information based on the data to be evaluated, and transmitting the data to be evaluated and the evaluation guide information to the first energy management equipment. The evaluation guide information is used for guiding the first energy management device to evaluate the data to be evaluated.

Step S123, acquiring evaluation data of the first energy management device for the data to be evaluated.

Step S124, if the evaluation data indicates that the result is correct, the energy control parameter of the second management unit for the first management unit is output as a normal energy control parameter.

Step S125 of outputting the energy control parameter of the second management unit for the first management unit as an abnormal energy control parameter if the evaluation data indicates that the result is erroneous.

For example, it is assumed that there is one solar power generation field (first management unit) including a plurality of solar power generators (first energy management devices). These solar generators need to be coordinated with a regional grid operation center (second management unit) to ensure power supply and demand balance.

The embedded energy management control subsystem of the monitoring platform firstly collects equipment state data such as the generated energy, the rotating speed and the like from the solar generator. At the same time, it also obtains device credential data corresponding to these status data, such as identity authentication information, maintenance records, and configuration parameters for each solar generator. Then, the subsystem integrates the two sets of data, namely the equipment state data and the equipment credential data, to form data to be evaluated, and outputs the data to the regional power grid operation center for subsequent evaluation.

Next, the energy management control subsystem generates evaluation guidance information based on the data to be evaluated. The guiding information contains the necessary instructions and advice for guiding the solar generator how to self-evaluate according to the current demand and expected change of the grid. And then, the monitoring platform sends the data to be evaluated and the evaluation guide information to each solar power generator together, so that the solar power generator evaluates whether the running condition of the monitoring platform meets the requirements of a power grid operation center according to the information.

After each solar power generator receives the data to be evaluated and the evaluation guide information, an internal algorithm is executed to judge whether the power generation efficiency, the mechanical state and the response capacity of the solar power generator meet the requirements of a power grid. Then, the solar generator feeds back the evaluation result of the solar generator as evaluation data to the energy management control subsystem.

If the evaluation data shows that the performance and response of the solar generator are matched with the energy control parameters of the power grid operation center, the current power generation condition is normal. The energy management control subsystem marks the evaluation result as 'correct result', and outputs the energy control parameter of the power grid operation center as 'normal energy control parameter'. This indicates that there is no need to adjust the operation of the solar generator.

Conversely, if the evaluation data indicates that certain aspects of the solar power generator do not meet the expectations of the grid operation center, such as too low a power generation or a response time delay, the energy management control subsystem marks this evaluation as "result error". In this case, it outputs the energy control parameter of the grid operation center as an "abnormal energy control parameter". This is a signal that prompts the monitoring platform to take further action, such as notifying a maintenance team to check the relevant solar generator or adjust the load distribution strategy of the grid.

Through the process, the monitoring platform ensures that the running condition of the solar power generation field is always consistent with the requirement of the power grid operation center, and efficient and reliable energy management is realized.

In a possible implementation manner, in step S120, obtaining a designated energy allocation node and a designated energy allocation scale configured by the first energy management device for the second management unit includes:

step S126, obtaining a basic energy allocation node sequence and a basic energy allocation scale. Each basic energy allocation node in the basic energy allocation node sequence is an energy allocation node passing the credential verification.

And step S127, issuing the basic energy allocation node sequence and the basic energy allocation scale to the first energy management equipment.

And step S128, responding to a node screening instruction of the first energy management equipment aiming at the basic energy allocation node sequence, and outputting the basic energy allocation node screened by the node screening instruction as a designated energy allocation node configured by the first energy management equipment for the second management unit.

Step S129, in response to the update instruction of the first energy management device for the basic energy allocation scale, outputting the energy allocation scale indicated by the update instruction as the designated energy allocation scale configured by the first energy management device for the second management unit.

For example, in the context of this technical content, the solar farm is still taken as the first energy management device, and the regional grid operation center is regarded as the second management unit. The following is a description of the steps in connection with these settings:

it is assumed that the energy management control subsystem embedded within the monitoring platform needs to configure sufficient power generation for the upcoming high demand period. First, it will acquire a basic energy deployment node sequence that includes all solar generators that pass credential verification, ensuring that only those authenticated devices can be used for deployment. At the same time, it also determines a base energy deployment scale, which is an initial power generation estimate to meet the anticipated grid demand.

And then, the energy management control subsystem transmits the basic energy allocation node sequence and the basic energy allocation scale to the solar power generation field. After the operation system of the solar power plant receives the information, a corresponding generator set can be prepared for generating tasks.

When the solar power plant receives the basic energy allocation node sequence, an operator may screen the sequence according to actual conditions (such as maintenance states of some generators or efficiency considerations), and send out a node screening instruction. The energy management control subsystem responds to the instruction and identifies the screened generators as designated energy distribution nodes, which are the generators that will ultimately be used for power production.

In addition, if the grid operation center notifies that the actual demand is greater or less than expected, the solar farm operator may issue an update command requesting adjustment of the base energy deployment scale. The energy management control subsystem receives the instruction and recalculates the instruction, and then outputs a new designated energy allocation scale, namely the adjusted generating capacity target.

For example, in order to prepare for the peak electricity period in hot summer, the energy management control subsystem identifies all the generators (base energy allocation node sequences) in the solar power plant that are subjected to maintenance and efficiency evaluation, and calculates a preliminary amount of electricity generation (base energy allocation scale). The system then communicates this information to the solar farm. After receiving the information, the operator finds that the generator located in the high-altitude area is selectively started as a designated energy allocation node due to the fact that the recent weather forecast shows strong wind, and updates the generating capacity target (designated energy allocation scale) according to the latest weather conditions and power grid requirements.

Through the steps, the energy management control subsystem cooperates with the first energy management equipment (solar power plant) and the second management unit (power grid), balance between energy supply and demand is ensured, and overall energy efficiency and reliability are improved.

In one possible embodiment, the method further comprises:

and step A110, loading the energy scheduling identification code in an energy interaction space of the first energy end, and a transmission module aiming at the energy scheduling identification code. The first energy source end reflects a management end corresponding to the first energy source management device.

And step A120, responding to the starting instruction of the first energy management equipment aiming at the transmission module, and outputting a list of associated energy management equipment. Each associated energy management device in the associated energy management device list reflects an energy management device in the monitoring platform having an energy supply association with the first energy management device and a subordinate relationship with the second management unit.

And step A130, responding to a device screening instruction of the first energy management device for the associated energy management device list, and outputting the associated energy management device screened by the device screening instruction as the second energy management device.

And step A140, generating an energy scheduling guide instance aiming at the energy scheduling identification code, and transmitting the energy scheduling guide instance to the second energy management equipment. The energy scheduling guiding instance is used for guiding the second energy management equipment, enters the energy management control subsystem based on the energy scheduling guiding instance within a first set authorization period, and transfers the target energy resource to the first management unit on line based on the designated energy allocation node in the energy management control subsystem.

Each step in the technical content may be described in detail with the following scenario, in conjunction with the previous examples:

scenario set-up, assuming that a solar farm (first management unit) is composed of a plurality of solar generators (first energy management devices) and requires energy deployment with a regional grid operation center (second management unit).

In the energy interaction space of the solar power generation field, the energy management control subsystem on the monitoring platform loads a specific energy scheduling identification code, and the identification code is used for marking the energy scheduling task to be executed. Meanwhile, the system is also loaded with a transmission module aiming at the energy scheduling identification code, and the module allows the solar power generation field to start and manage the energy scheduling process.

When the solar power generator operator or the automation system sends a start-up command to the transfer module, the energy management control subsystem responds to the command and outputs a list of associated energy management devices. This list contains all the energy management devices that have an energy supply relationship with the solar farm and are subordinate to the grid operation center, such as nearby solar power plants or energy storage facilities.

Based on the associated energy management device list, an operator or an automated system may issue device screening instructions to select the device that best suits the current energy demand situation. The energy management control subsystem determines and outputs the selected device as a second energy management device according to the screening instructions. For example, the solar generator set with the best performance is selected as the energy allocation node in the high-demand period.

The energy management control subsystem then generates an energy scheduling guidance instance, which is a set of guidance information and operating steps that direct the second energy management device to enter the system for energy allocation during the authorized period. For example, the lead-in instance will instruct the selected solar power generator set how to increase the power generation within a specified time window and ensure that these additional power is transferred online into the regional grid managed by the grid operation center, meeting the peak demand.

Through the steps, the energy management control subsystem of the monitoring platform not only ensures the coordination consistency between the solar power generation field and the power grid, but also optimizes the energy flow direction and the resource allocation, thereby improving the efficiency and the reliability of the whole system.

In one possible embodiment, the method further comprises:

and step B110, loading the energy scheduling identification code in an energy interaction space of the first energy end, and aiming at a cache module of the energy scheduling identification code. The first energy source end reflects a management end corresponding to the first energy source management device.

And step B120, responding to a starting instruction of the first energy management equipment aiming at the cache module, generating an identification code snapshot containing the energy scheduling identification code, and caching the identification code snapshot.

And step B130, when receiving a snapshot transmission instruction of the first energy management device aiming at the identification code snapshot, issuing the identification code snapshot to the second energy management device. The identification code snapshot is used for indicating the second energy management equipment to enter the energy management control subsystem through the identification loading action of the identification code snapshot in a second set authorization period, and the target energy resource is transferred to the first management unit on line based on the designated energy allocation node in the energy management control subsystem.

For example, in the context of this technical content, the solar farm continues to be used as a first energy management device and the regional grid operation center is considered as a second energy management device. Further, it is assumed that these devices interact through an energy management control subsystem to ensure that energy supply and scheduling is efficient and safe.

In the energy interaction space of the solar power generation field (the first energy end), a specific energy scheduling identification code is loaded by an energy management control subsystem embedded in the monitoring platform. Meanwhile, the subsystem is also provided with a cache module for storing related data and instructions. This energy schedule identifier is to ensure that only authorized personnel or devices can access and perform the energy schedule task.

When the solar power plant operator sends out an instruction for starting the cache module, the energy management control subsystem responds to the instruction and generates an identification code snapshot containing an energy scheduling identification code. The identification code snapshot is then saved in the cache module for ready access and use.

Next, when the solar farm needs to allocate the target energy resource to a specific first management unit (e.g., a specific solar generator set), the operator sends a snapshot transfer instruction. After receiving the instruction, the energy management control subsystem issues an identification code snapshot to a regional power grid operation center (second energy management equipment).

For example, the regional power grid operation center can safely enter the energy management control subsystem through the identification and loading actions of the identification code snapshot in a set authorized period. Once successfully authenticated, the grid operation center can allocate the target energy resources (electricity generated by the solar power plant) to the first management unit on line based on the designated energy allocation nodes (such as the selected solar power generator set), thereby ensuring effective allocation and use of energy.

Through the steps, the energy management control subsystem provides a safe and reliable energy interaction space between the first energy management equipment (solar power plant) and the second energy management equipment (power grid operation center). Thus, not only is the flexibility of energy allocation improved, but also the safety of the system is enhanced, because all key operations need to be verified through the correct identification code snapshot.

In one possible embodiment, the method further comprises:

and step C110, outputting an energy allocation path between the first management unit and the second management unit, the designated energy allocation node and the designated energy allocation scale as a target energy scheduling log aiming at the target energy resource when the first management unit allocates the target energy resource.

And step C120, loading the target energy scheduling log into the scheduling log sequence of the first management unit to generate a target scheduling log sequence. And each energy scheduling log covered in the target scheduling log sequence is used for the first management unit to perform energy verification.

For example, to further illustrate the technical content, a solar farm may be used as a first management unit, a regional grid operation center as a second management unit, and the previous examples continue to be used to embody each step:

When the solar power generation field (the first management unit) successfully allocates the target energy resource (such as electric power) to the regional power grid (the second management unit) according to the established designated energy allocation scale, the energy management control subsystem records the event. This includes the actual energy source flow path from the solar generator (designated energy deployment node) to the grid, the deployment scale used, and the associated detailed operational data. All of this information together constitutes a target energy dispatch log for the deployed target energy resource.

The target energy dispatch log is then loaded into a dispatch log sequence of a solar farm to form an updated target dispatch log sequence. This sequence is not only kept as a history, but is also used for the subsequent energy verification process. The energy verification refers to that a solar power plant checks and confirms whether the energy provided by the solar power plant to a power grid meets the agreed specification and quantity. For example, if 100 megawatts hours are expected to be sent to the grid, the solar farm will check through the target dispatch log sequence if the actual power sent matches this.

For example, solar farms need to provide additional power to high-load urban areas after a hot summer noon. The solar farm starts a plurality of optimally located solar generators that are selected as designated energy deployment nodes and increase power generation at a particular designated energy deployment scale. After this operation, the energy management control subsystem creates a target energy scheduling log containing all relevant information, such as power generation, transmission route, time stamp, etc. This log is then recorded in a target scheduling log sequence of the solar farm. And then, the solar power generation field utilizes the log sequence to verify the transmitted electric quantity, so that the electric quantity sent to the power grid is ensured to accord with the previous planning and scheduling, and the recording and verification of the whole energy allocation process are completed.

In one possible embodiment, the method further comprises:

and step D110, receiving a cancellation application of the first energy management device for the target energy scheduling log.

And step D120, based on the cancel application, acquiring the energy allocation end information and the energy assignee end information of the target energy resource. The energy allocation end information belongs to the second management unit, and the energy assignee end information belongs to the first management unit. The energy allocation terminal information and the energy receiving terminal information both belong to the appointed energy allocation node.

And step D130, acquiring the target energy resource from the energy assigned end information, and returning the target energy resource to the energy allocation end information.

For example, in the context of this technical content, the solar farm continues to be used as the first energy management device and the regional grid operation center is regarded as the second management unit. The energy resource allocation is performed between the two, but for some reasons, the already set energy scheduling plan may need to be canceled.

It is assumed that the operating system of the solar farm (first energy management device) detects that the amount of electricity actually generated cannot meet the energy allocation plan previously agreed with the regional grid operation center (second management unit) due to unpredictable weather changes. Thus, it sends a cancellation request intended to cancel the previous target energy dispatch log for a particular date and time period.

After receiving the cancellation application, the energy management control subsystem queries a related database or record to acquire detailed information of the related target energy resource. The obtained energy allocation end information belongs to an regional power grid operation center, and the energy receiving end information belongs to a solar power generation field. These two items of information describe the previously set energy deployment node and its corresponding responsibilities and interests.

The energy management control subsystem determines which target energy resources are planned to be transferred from the energy assignee information. Since the dispatch plan has been cancelled, the system needs to return these resources to the energy deployment site, that is, to adjust the power that would otherwise be delivered from the solar farm to the regional power grid back to the original state. This may include updating records of the energy market, informing related aspects of the adjustment of its power demand expectations, and revoking any associated financial or contractual obligations.

Through the steps, the energy management control subsystem ensures that all relevant energy resources can be correctly returned from the assigned end to the allocating end when the energy scheduling log is canceled, thereby avoiding potential loss or confusion caused by resource mismatching.

In one possible implementation, the energy management control subsystem performs data interaction with the first management unit based on a unit API of the first management unit. The unit API reflects a data interaction channel of the data monitoring module of the first management unit.

Step C120 may include:

step C121, based on the unit API, of sending an information retrieval instruction to the data monitoring module of the first management unit based on the unit API. The information retrieval instruction is configured to request to obtain a sequence of dispatch logs of the first management unit.

And step C122, receiving a scheduling log sequence of the first management unit returned by the data monitoring module according to the information retrieval instruction.

And step C123, loading the target energy scheduling log into the scheduling log sequence of the first management unit to generate a target scheduling log sequence.

For example, to elaborate the technical content, the previous solar farm and regional grid operation center may be continued to be used as examples. In this scenario, the solar farm (first management unit) performs data interaction with the energy management control subsystem through its data monitoring module.

The energy management control subsystem needs to acquire data such as the status and history of deployment operations from the solar farm (first management unit). The solar farm has a unit API, which is a programming interface for data exchange between external systems (e.g., energy management control subsystem) and the solar farm's data monitoring module. This unit API defines how to query the sequence of dispatch logs, update settings, or perform other data-related operations.

The energy management control subsystem sends an information retrieval instruction to the unit API of the solar power generation field. This instruction requests access to the solar farm's current dispatch log sequence, which may include past energy dispatch activities, equipment performance logs, and any associated fault reports.

The data monitoring module of the solar power generation field responds to the information retrieval instruction and returns the existing scheduling log sequence to the energy management control subsystem. Then, the system adds the latest target energy scheduling log to the sequence, creating an updated target scheduling log sequence. The newly generated sequence reflects the recently completed energy allocation tasks, including allocation paths, designated energy allocation nodes, designated energy allocation scales and other information.

For example, suppose a solar farm has just completed a task of supplying additional power to a high demand area. The detailed operation of the task is recorded in a target energy schedule log. The energy management control subsystem now needs to integrate this log into the scheduling log sequence of the solar farm for recording and verification. Firstly, an information retrieval instruction is sent to a data monitoring module through a unit API to acquire a current scheduling log sequence. The data monitoring module returns the existing log sequence, and the energy management control subsystem then adds a new target energy scheduling log to form a complete updated target scheduling log sequence. Thus, the solar power generation field can track and check each energy allocation activity, ensure that all operations are executed according to a preset plan, and facilitate future reference and audit.

In one possible embodiment, the method further comprises:

step E110, obtaining an energy scheduling instruction corresponding to the second energy management equipment.

And E120, acquiring target energy resources from the second management unit based on the energy scheduling instruction, and online transferring the target energy resources to the first management unit based on the energy scheduling node. The target energy resource is the energy resource indicated by the energy allocation scale.

For example, the solar farm is again considered as a first management unit, and the regional grid operation center is a second energy management device. The process described herein involves data interaction and energy resource allocation between the two.

The regional power grid operation center (second energy management equipment) receives the energy scheduling guide example sent by the solar power generation field (first energy end). The boot instance contains a specific energy scheduling identifier that is used to mark the energy scheduling task to be performed and to ensure that only authorized devices can access and perform the task.

And according to the received energy scheduling guide example, the regional power grid operation center enters an operation mode through the energy management control subsystem in a set authorized period. It will take power from a solar farm according to a predetermined energy deployment scale and distribute that power online to areas or facilities requiring additional energy supply, based on a designated energy deployment node, such as some solar generator sets.

Step E110 may include:

and E111, connecting an energy scheduling guide example which is sent by the first energy end and aims at the energy scheduling identification code. The energy scheduling guiding instance is used for guiding the second energy management equipment, enters the energy management control subsystem based on the energy scheduling guiding instance within a first set authorization period, and transfers the target energy resource to the first management unit on line based on the designated energy allocation node in the energy management control subsystem.

And E112, loading the energy scheduling guide instance in the data interaction task. The data interaction task is used for carrying out data interaction between the first energy management device and the second energy management device.

And E113, loading a verification module for confirming the energy scheduling attribute data in response to the starting instruction of the second energy management equipment for the energy scheduling guide instance. The energy scheduling attribute data comprises the first management unit, the second management unit, the designated energy allocation node and the designated energy allocation scale.

And E114, responding to the verification information of the second energy management equipment aiming at the verification module, and generating the energy scheduling instruction.

For example, to accomplish the above tasks, the regional power grid operation center loads the provided energy scheduling guidance instance in its data interaction tasks. This energy scheduling guidance instance serves as a guide to help the second energy management device perform data exchanges accurately, ensuring that the correct power is sent to the correct location.

Before energy allocation is executed, the regional power grid operation center responds to an instruction for starting an energy scheduling guide example, and a verification module is loaded. The verification module is used for confirming whether all key energy scheduling attribute data, such as the first management unit and the second management unit, the designated energy allocation node and the energy allocation scale meet expectations and regulations.

After the verification module checks all the information, if all the information meets the requirements, the regional power grid operation center generates an energy scheduling instruction. The command represents a formal command to trigger the solar farm to deliver power to the grid at the agreed scale and nodes.

Through the steps, the energy management control subsystem assists the first management unit and the second energy management equipment to efficiently and safely allocate energy, so that the stability and reliability of energy supply are ensured.

Alternatively, step E110 may include:

1. the method comprises the steps of receiving an identification code snapshot which is sent by a first energy end and contains an energy scheduling identification code, wherein the identification code snapshot is used for indicating second energy management equipment to enter an energy management control subsystem through identification loading actions of the identification code snapshot in a second set authorization period, and allocating target energy resources to a first management unit on line based on the designated energy allocation node in the energy management control subsystem.

2. And in the data interaction task, loading the identification code snapshot. The data interaction task is used for carrying out data interaction between the first energy management device and the second energy management device.

3. And responding to the identification loading action of the second energy management equipment aiming at the identification code snapshot, and displaying a verification module for confirming the energy scheduling attribute data. The energy scheduling attribute data comprises the first management unit, the second management unit, the designated energy allocation node and the designated energy allocation scale.

4. And responding to the verification information of the second energy management equipment aiming at the verification module, and generating the energy scheduling instruction.

For example, to illustrate the technical content, solar power generation fields (first management units) and regional grid operation centers (second management units) will continue to be used as scenarios. In this scenario, the solar farm performs energy scheduling with the regional power grid through the energy management control subsystem.

The solar farm (first energy source side) completes one energy scheduling task with the goal of delivering additional power to the regional grid for a specific period of time (second set authorized period). To begin this process, the solar farm sends an identification code snapshot containing the energy scheduling identification code to the regional power grid (second energy management device). The identification code snapshot enables the regional power grid to identify and load the snapshot during an authorized period, thereby accessing the energy management control subsystem in preparation for receiving power from the solar farm.

In the data interaction task, the system of the regional power grid is loaded with an identification code snapshot, which is necessary to perform the data interaction. The data interaction task ensures that information between the solar power generation field and the regional power grid can be smoothly transmitted, and the information comprises key information such as predicted power output, power transmission path, time and the like.

After the system of the regional power grid successfully loads the identification code snapshot, the system can display a verification module for confirming various attribute data of energy scheduling. These attribute data include the solar farm (first management unit), the regional power grid (second management unit), the designated solar generator (designated energy deployment node), and the corresponding power output scale (designated energy deployment scale).

Once the regional power grid system verifies that all the energy scheduling attribute data is correct through the verification module, it generates an energy scheduling instruction. This instruction formally instructs the system to receive power from the solar farm in accordance with the verified parameters and to transfer it online to the regional power grid. The energy scheduling instructions ensure compliance and correctness of the deployment actions, as well as record this operation for future review or tracking.

Through the steps, the energy management control subsystem assists the solar power generation field and the regional power grid to safely and efficiently allocate energy, and the reliability of energy supply and the transparency of system operation are ensured.

In one possible embodiment, step E120 may include:

and E121, acquiring energy allocation end information and energy receiving end information of the target energy resource based on the energy scheduling instruction. The energy allocation end information belongs to the second management unit, and the energy assignee end information belongs to the first management unit. The energy allocation terminal information and the energy receiving terminal information both belong to the appointed energy allocation node.

And E122, performing license verification on the second energy management equipment according to the energy allocation end information, and acquiring the target energy resource from the energy allocation end when a license verification result is a license instruction, and transferring the target energy resource to the energy assignee end on line.

For example, in the context of this technical content, the example of using a solar farm as the first management unit and a regional grid operation center as the second management unit is continued to describe in detail how to obtain the target energy resource from the second management unit based on the energy scheduling instruction and transfer it online to the first management unit.

The regional grid operation center (second management unit) receives an energy scheduling command that requires a specific amount of power to be obtained from the solar farm (first management unit). The energy scheduling instruction contains all necessary information, such as energy allocation end information and energy assignee end information. The energy allocation end information belongs to a regional power grid operation center and is responsible for transmitting electric power from a system to a designated place; the energy source receiving end information belongs to a solar power generation field, and is a starting point of electric power. Both of these information are associated with designated energy deployment nodes, i.e., those solar power generation units in the solar farm that are to generate and transmit power.

Prior to performing any energy deployment activities, regional grid operators need to license verification of solar farm equipment and systems to ensure that all operations are performed within a secure and authorized framework. License verification typically involves checking credentials, security protocols, and compliance. After verification is successful, the regional power grid operation center confirms that the equipment of the solar power generation field has authority to provide power and meets allocation conditions.

The regional grid operation center then takes the power from the solar farm and distributes the power online to other management units or end users via its network. This process may involve real-time energy market trading and regulating system operation to ensure that power is properly distributed and transmitted at predetermined times and scales.

In one example, assume that a large industrial park suddenly requires an emergency increase in power supply due to a special event. And the regional power grid operation center receives an energy scheduling instruction for additionally supplying power to the industrial park from the solar power generation field. The regional power grid first confirms that it has the right to obtain the required power from the solar farm. After verification, the system activates data connection with a solar power generation field, instructs a selected solar power generation set in the solar power generation field to increase the power generation amount, and then transmits the newly increased power to an industrial park through a power grid. In the whole process, the solar power generation field is used as an energy source receiving end to provide power, and the regional power grid operation center is used as an energy source allocation end to be responsible for power distribution and transmission.

Fig. 2 schematically illustrates an energy source condition monitoring system 100 that may be used to implement various embodiments described herein.

For one embodiment, FIG. 2 illustrates an energy state monitoring system 100, the energy state monitoring system 100 having a plurality of processors 102, a control module (chipset) 104 coupled to one or more of the processor(s) 102, a memory 106 coupled to the control module 104, a non-volatile memory (NVM)/storage device 108 coupled to the control module 104, a plurality of input/output devices 110 coupled to the control module 104, and a network interface 112 coupled to the control module 104.

Processor 102 may include a plurality of single-core or multi-core processors, and processor 102 may include any combination of general-purpose or special-purpose processors (e.g., graphics processors, application processors, baseband processors, etc.). In some alternative embodiments, the energy status monitoring system 100 can be configured as a server device such as a gateway as described in the embodiments herein.

In some alternative embodiments, the energy status monitoring system 100 may include a plurality of computer readable media (e.g., memory 106 or NVM/storage 108) having instructions 114 and a plurality of processors 102 combined with the plurality of computer readable media configured to execute the instructions 114 to implement the modules to perform the actions described in this disclosure.

For one embodiment, the control module 104 may include any suitable interface controller to provide any suitable interface to one or more of the processor(s) 102 and/or any suitable management end or component in communication with the control module 104.

The control module 104 may include a memory controller module to provide an interface to the memory 106. The memory controller modules may be hardware modules, software modules, and/or firmware modules.

The memory 106 may be used, for example, to load and store data and/or instructions 114 for the energy condition monitoring system 100. For one embodiment, memory 106 may comprise any suitable volatile memory, such as, for example, a suitable DRAM. In some alternative embodiments, memory 106 may comprise a double data rate type four synchronous dynamic random access memory.

For one embodiment, the control module 104 may include a plurality of input/output controllers to provide interfaces to the NVM/storage 108 and the input/output device(s) 110.

For example, NVM/storage 108 may be used to store data and/or instructions 114. NVM/storage 108 may include any suitable non-volatile memory (e.g., flash memory) and/or may include any suitable non-volatile storage(s).

NVM/storage 108 may include a storage resource that is physically part of the management side on which energy state monitoring system 100 is installed, or it may be accessible by the device, or it may not be necessary as part of the device. For example, NVM/storage 108 may be accessed via input/output device(s) 110 in connection with a network.

Input/output device(s) 110 may provide an interface for energy status monitoring system 100 to communicate with any other suitable management end, and input/output device 110 may include a communication component, pinyin component, sensor component, and the like. The network interface 112 may provide an interface for the energy state monitoring system 100 to communicate in accordance with a plurality of networks, and the energy state monitoring system 100 may communicate wirelessly with a plurality of components of a wireless network based on any of a plurality of wireless network standards and/or protocols, such as accessing a wireless network in accordance with a communication standard, such as WiFi, 2G, 3G, 4G, 5G, etc., or a combination thereof.

For one embodiment, one or more of the processor(s) 102 may be packaged together with logic of a plurality of controllers (e.g., memory controller modules) of the control module 104. For one embodiment, one or more of the processor(s) 102 may be packaged together with logic of multiple controllers of the control module 104 to form a system in package. For one embodiment, one or more of the processor(s) 102 may be integrated on the same die with logic of multiple controllers of the control module 104. For one embodiment, one or more of the processor(s) 102 may be integrated on the same die with logic of multiple controllers of the control module 104 to form a system-on-chip.

In various embodiments, the energy status monitoring system 100 may be, but is not limited to being: a desktop computing device or a mobile computing device (e.g., a laptop computing device, a handheld computing device, a tablet, a netbook, etc.), and the like. In various embodiments, the energy status monitoring system 100 may have more or fewer components and/or different architectures. For example, in some alternative embodiments, the energy status monitoring system 100 includes a plurality of cameras, a keyboard, a liquid crystal display screen (including a touch screen display), a non-volatile memory port, a plurality of antennas, a graphics chip, an application specific integrated circuit, and a speaker.

The foregoing has outlined rather broadly the more detailed description of the present application, wherein specific examples have been provided to illustrate the principles and embodiments of the present application, the description of the examples being provided solely to assist in the understanding of the method of the present application and the core concepts thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. A state monitoring method based on an energy management control system, characterized in that the method is applied to an energy state monitoring system, the method comprising:

2. The method for monitoring the state based on the energy management control system according to claim 1, wherein the step of collecting the device state data recorded by the first energy management device in the energy management control subsystem comprises the steps of:

3. The energy management control system-based condition monitoring method of claim 1, further comprising:

4. The energy management control system-based condition monitoring method of claim 1, further comprising:

5. The energy management control system-based condition monitoring method of claim 1, further comprising:

6. The energy management control system-based condition monitoring method of claim 5, further comprising:

7. The method for monitoring the state based on the energy management control system according to claim 5, wherein the energy management control subsystem performs data interaction with the first management unit based on a unit API of the first management unit; the unit API reflects a data interaction channel of a data monitoring module of the first management unit;

8. The energy management control system-based condition monitoring method of claim 1, further comprising:

9. The method for monitoring the state based on the energy management control system according to claim 8, wherein the obtaining, based on the energy scheduling instruction, a target energy resource from the second management unit, and the online transferring, based on the energy allocation node, the target energy resource to the first management unit includes:

10. An energy condition monitoring system comprising a processor and a machine-readable storage medium having stored therein machine-executable instructions loaded and executed by the processor to implement the energy management control system-based condition monitoring method of any one of claims 1-9.