A distributed electric energy centralized supervision and auxiliary decision system based on internet of things

Abstract

The application discloses a kind of based on Internet of Things distributed electric energy centralized supervision and auxiliary decision system, including Internet of Things cloud platform processing unit, review decision system, supervision system and database, the output of Internet of Things cloud platform processing unit is electrically connected with the input of review decision system and supervision system, the present application can be connected with system by wireless sending module and wireless data acquisition module cooperation multiple front-end distributed electric energy nodes, and in the cooperation of monitoring unit and supervision system, the data of front-end distributed electric energy node can be preliminary analyzed and management instruction is made, replaces original manual operation, can be adapted to based on Internet of Things environment to the front-end distributed electric energy node of constantly expanding supervision, and under the action of review decision system, management instruction can also be simulated and reviewed, can reduce error instruction sending, it is favorable to improve the accuracy of front-end distributed electric energy node supervision.

Description

Technical Field

[0001] This invention belongs to the field of power regulation, specifically a distributed centralized power energy monitoring and auxiliary decision-making system based on the Internet of Things. Background Technology

[0002] The electricity metering system is an important component of the smart grid dispatch and control system. It is responsible for collecting, transmitting, processing, and monitoring electricity information at metering points of power plants, substations, and tie lines. It has application functions such as automatic collection of electricity information, monitoring of metering anomalies, statistical calculation, balance loss analysis and management, and dissemination of relevant information. With the development of communication technology, the number of distributed electricity front-end nodes based on networks and the Internet of Things is increasing. Due to the continuous expansion of front-end nodes, the existing electricity monitoring system can no longer meet the needs of use, resulting in increased workload and chaotic processes. At the same time, the existing monitoring system does not have auxiliary decision-making functions and cannot review and simulate management instructions, resulting in frequent erroneous instructions and reduced monitoring accuracy. Summary of the Invention:

[0003] The purpose of this invention is to provide a distributed power energy centralized monitoring and auxiliary decision-making system based on the Internet of Things to solve the above-mentioned problems, thus solving the problems mentioned in the background art.

[0004] To address the above problems, the present invention provides a technical solution:

[0005] A distributed energy centralized monitoring and auxiliary decision-making system based on the Internet of Things (IoT) includes an IoT cloud platform processing unit, a review and decision-making system, a monitoring system, and a database. The output of the IoT cloud platform processing unit is electrically connected to the inputs of the review and decision-making system and the monitoring system, and the output of the IoT cloud platform processing unit is electrically connected to the input of the database. The monitoring system includes a monitoring unit and a management unit. The output of the management unit is electrically connected to the input of the monitoring unit, and the output of the monitoring unit is electrically connected to the input of the review and decision-making system. The outputs of both the monitoring system and the review and decision-making system are electrically connected to the input of the database. The IoT cloud platform processing unit is used to connect to multiple front-end distributed energy nodes. The review and decision-making system is used to simulate the review of instructions from the monitoring system and also to modify the instructions. The monitoring unit is used to acquire data from the front-end distributed energy nodes and perform preliminary analysis. The management unit is used to perform in-depth analysis of the preliminarily analyzed data and issue control instructions. The database is used to store the data acquired by the review and decision-making system and the instructions issued by the monitoring system according to time nodes.

[0006] Preferably, the monitoring unit includes a wireless data acquisition module, a switch status detection module, a data parsing module, a voltage monitoring module, a current monitoring module, and a data uploading module. The output terminal of the wireless data acquisition module is electrically connected to the input terminal of the switch status detection module, the output terminal of the switch status detection module is electrically connected to the input terminal of the data parsing module, the output terminal of the data parsing module is electrically connected to the input terminal of the voltage monitoring module, the output terminal of the voltage monitoring module is electrically connected to the input terminal of the current monitoring module, and the output terminal of the current monitoring module is electrically connected to the input terminal of the data uploading module.

[0007] Preferably, the wireless data acquisition module is used to acquire various data from the front-end distributed energy nodes; the switch status detection module is used to determine whether the front-end distributed energy node switch is on based on the data values; the data parsing module is used to parse the various data; the voltage monitoring module is used to determine whether the voltage of the front-end distributed energy nodes is normal; the current monitoring module is used to determine whether the current of the front-end distributed energy nodes is normal; and the data uploading module is used to send the various data to the management unit.

[0008] Preferably, the data parsing module parses the scheduling protocol, Modbus protocol, and OPC protocol.

[0009] Preferably, the management unit includes a data receiving module, a feature vector extraction module, a comparison analysis module, a prediction analysis module, an instruction generation module, and an instruction uploading module. The output of the data receiving module is electrically connected to the input of the feature vector extraction module, the output of the feature vector extraction module is electrically connected to the input of the comparison analysis module, the output of the comparison analysis module is electrically connected to the input of the prediction analysis module, the output of the prediction analysis module is electrically connected to the input of the instruction generation module, and the output of the instruction generation module is electrically connected to the input of the instruction uploading module.

[0010] Preferably, the data receiving module receives data sent from the data uploading module; the feature vector extraction module extracts feature vector values ​​from each data item; the comparison analysis module compares the extracted feature vector values ​​with standard values; the prediction analysis module analyzes and predicts the impact of feature vector values ​​on the front-end distributed energy nodes; the instruction generation module generates adjustment instructions based on the comparison results between feature vector values ​​and standard values; and the instruction uploading module sends the adjustment instructions to the review decision system.

[0011] Preferably, the review decision-making system includes an instruction receiving module, an instruction review simulation module, a review analysis module, a result evaluation module, an instruction modification module, and a wireless transmission module. The output of the instruction receiving module is electrically connected to the input of the instruction review simulation module, and the output of the instruction review simulation module is electrically connected to the input of the review analysis module. The output of the review analysis module is electrically connected to the input of the result evaluation module, the output of the result evaluation module is electrically connected to the input of the instruction modification module, and the output of the instruction modification module is electrically connected to the input of the wireless transmission module.

[0012] Preferably, the instruction receiving module is used to receive adjustment instructions sent from the instruction uploading module; the instruction review and simulation module is used to perform review and simulation based on the uploaded instructions; the review and analysis module is used to analyze the data from the review and simulation; the result evaluation module is used to evaluate the rationality of the simulation results; the instruction modification module is used to make corresponding modifications based on the evaluation results and generate new instructions; and the wireless transmission module is used to send the new instructions to the front-end distributed energy nodes.

[0013] Preferably, the database includes a time node module, a classification module, and a storage module. The output of the time node module is electrically connected to the input of the classification module, and the output of the classification module is electrically connected to the input of the storage module.

[0014] Preferably, the time node module is used to record the time nodes of data input from the review decision system and the supervision system; the classification module is used to send the corresponding data to the corresponding storage module according to the time node; and the storage module is used to store and record the input data.

[0015] The beneficial effects of this invention are as follows: By combining the wireless transmission module and the wireless data acquisition module, multiple front-end distributed energy nodes can be connected to the system. With the cooperation of the monitoring unit and the supervision system, the data of the front-end distributed energy nodes can be preliminarily analyzed and management instructions can be issued, replacing the original manual operation. It can adapt to the supervision of the ever-expanding front-end distributed energy nodes in the Internet of Things environment. Moreover, under the role of the review and decision system, the management instructions can be simulated and reviewed, which can reduce the sending of erroneous instructions and improve the accuracy of the supervision of the front-end distributed energy nodes. Attached image description:

[0016] For ease of explanation, the present invention will be described in detail below with reference to specific embodiments and accompanying drawings.

[0017] Figure 1 This is the overall topology diagram of the present invention;

[0018] Figure 2 This is a topology diagram of the monitoring unit of the present invention;

[0019] Figure 3 This is a topology diagram of the management unit of this invention;

[0020] Figure 4 This is a topology diagram of the review decision system of this invention. Detailed implementation method:

[0021] like Figure 1-4 As shown, the specific implementation adopts the following technical solution:

[0022] Example:

[0023] A distributed power energy centralized monitoring and auxiliary decision-making system based on the Internet of Things (IoT) includes an IoT cloud platform processing unit, a review decision-making system, a monitoring system, and a database. The output of the IoT cloud platform processing unit is electrically connected to the inputs of the review decision-making system and the monitoring system, and the output of the IoT cloud platform processing unit is electrically connected to the input of the database. The monitoring system includes a monitoring unit and a management unit. The output of the management unit is electrically connected to the input of the monitoring unit, and the output of the monitoring unit is electrically connected to the input of the review decision-making system. The outputs of both the monitoring system and the review decision-making system are electrically connected to the input of the database. The IoT cloud platform processing unit is used to connect to multiple systems. The review decision-making system is used to simulate the review of instructions from the monitoring system, and also... The system allows for the modification of instructions; under the review and decision-making system, management instructions can be simulated and reviewed, reducing the issuance of erroneous instructions and improving the accuracy of monitoring front-end distributed energy nodes. The monitoring unit acquires data from front-end distributed energy nodes and performs preliminary analysis; the management unit performs in-depth analysis of the preliminary data and issues control instructions. With the cooperation of the monitoring unit and the supervision system, preliminary analysis of data from front-end distributed energy nodes can be performed and management instructions can be issued, replacing the original manual operation. This system is adaptable to the supervision of the ever-expanding front-end distributed energy nodes in an IoT environment. The database stores data acquired by the review and decision-making system and instructions issued by the supervision system according to time nodes.

[0024] The monitoring unit includes a wireless data acquisition module, a switch status detection module, a data parsing module, a voltage monitoring module, a current monitoring module, and a data upload module. The output of the wireless data acquisition module is electrically connected to the input of the switch status detection module, the output of the switch status detection module is electrically connected to the input of the data parsing module, the output of the data parsing module is electrically connected to the input of the voltage monitoring module, the output of the voltage monitoring module is electrically connected to the input of the current monitoring module, and the output of the current monitoring module is electrically connected to the input of the data upload module.

[0025] The system includes a wireless data acquisition module for acquiring various data from the front-end distributed energy nodes; a switch status detection module for determining whether the front-end distributed energy node switch is on based on the data values; a data parsing module for parsing the data; a voltage monitoring module for determining whether the voltage of the front-end distributed energy nodes is normal; a current monitoring module for determining whether the current of the front-end distributed energy nodes is normal; and a data upload module for sending the data to the management unit. This module can acquire and perform preliminary processing of the data from the front-end distributed energy nodes, facilitating subsequent assessment of their status.

[0026] The data parsing module parses content including scheduling protocols, Modbus protocols, and OPC protocols, which can avoid the problem of poor data interoperability between multiple protocols and interfaces in the power system, thereby preventing data loss.

[0027] The management unit includes a data receiving module, a feature vector extraction module, a comparison analysis module, a prediction analysis module, an instruction generation module, and an instruction uploading module. The output of the data receiving module is electrically connected to the input of the feature vector extraction module, the output of the feature vector extraction module is electrically connected to the input of the comparison analysis module, the output of the comparison analysis module is electrically connected to the input of the prediction analysis module, the output of the prediction analysis module is electrically connected to the input of the instruction generation module, and the output of the instruction generation module is electrically connected to the input of the instruction uploading module.

[0028] The system comprises the following modules: a data receiving module to receive data from the data uploading module; a feature vector extraction module to extract feature vector values ​​from various data points; a comparison analysis module to compare the extracted feature vector values ​​with standard values; a prediction analysis module to analyze and predict the impact of feature vector values ​​on front-end distributed energy nodes; an instruction generation module to generate adjustment instructions based on the comparison results between feature vector values ​​and standard values; and an instruction uploading module to send the adjustment instructions to the review and decision-making system. This system can perform secondary processing on the uploaded data to generate corresponding adjustment instructions, and can also replace the original management method, thus improving work efficiency.

[0029] The review decision-making system includes an instruction receiving module, an instruction review simulation module, a review analysis module, a result evaluation module, an instruction modification module, and a wireless transmission module. The output of the instruction receiving module is electrically connected to the input of the instruction review simulation module, and the output of the instruction review simulation module is electrically connected to the input of the review analysis module. The output of the review analysis module is electrically connected to the input of the result evaluation module, the output of the result evaluation module is electrically connected to the input of the instruction modification module, and the output of the instruction modification module is electrically connected to the input of the wireless transmission module.

[0030] The module comprises the following components: a command receiving module for receiving adjustment commands from the command uploading module; a command replay simulation module for performing replay simulations based on the uploaded commands; a replay analysis module for analyzing the data from the replay simulations; a result evaluation module for evaluating the rationality of the simulation results; a command modification module for making corresponding modifications and generating new commands based on the evaluation results; and a wireless transmission module for sending new commands to the front-end distributed energy nodes. This allows for simulation analysis and evaluation on the front-end distributed energy nodes based on the commands, avoiding the issuance of erroneous commands and improving the accuracy of front-end distributed energy node management.

[0031] The database includes a time node module, a classification module, and a storage module. The output of the time node module is electrically connected to the input of the classification module, and the output of the classification module is electrically connected to the input of the storage module.

[0032] The time node module records the time nodes of data input from the review decision system and the supervision system; the classification module sends the corresponding data to the corresponding storage module according to the time node; the storage module stores and records the input data, which can store data according to the time node, which helps to improve the organization of data within the database and facilitates subsequent retrieval.

[0033] Specifically, the system acquires various data from the front-end distributed energy nodes via a wireless data acquisition module. Based on the acquired data values, it determines the on / off status of the front-end distributed energy nodes. Then, the data parsing module parses the scheduling protocol, Modbus protocol, and OPC protocol of each data point. The voltage monitoring module checks if the voltage of the front-end distributed energy nodes is normal; if normal, uploading continues; if abnormal, a voltage error message is displayed. Similarly, the current monitoring module checks if the current of the front-end distributed energy nodes is normal; if normal, uploading continues; if abnormal, a current error message is displayed. The data upload module then sends all data to the data receiving module. The feature vector extraction module extracts the feature vector values ​​from each data point, and the comparison analysis module compares the extracted feature vector values ​​with standard values. If the comparison value is within a reasonable range, uploading continues; if the comparison result exceeds a threshold, an error message is displayed. Finally, the predictive analysis module uses the feature vector values ​​to predict the front-end distributed energy nodes. The impact of the points is analyzed and predicted. If the analysis results are reasonable, the regulatory process continues; if the analysis results are inconsistent, an error report is issued. The instruction generation module generates adjustment instructions based on the comparison between the feature vector values ​​and the standard values, and then sends the adjustment instructions to the instruction receiving module via the instruction uploading module. The instruction review and simulation module performs a review and simulation based on the uploaded instructions, and the review and analysis module analyzes the data during the review and simulation process. The result evaluation module evaluates the rationality of the simulation results. If the evaluation is reasonable, the instruction is sent to the front-end distributed energy node via the wireless transmission module. If the instruction is inconsistent, the instruction modification module makes corresponding modifications based on the evaluation results and generates a new instruction, which is then sent to the front-end distributed energy node via the wireless transmission module. The time node module records the time of data input from the review decision system and the regulatory system. At this time, the classification module sends the corresponding data to the corresponding storage module according to the time node, and the storage module can then store and record the input data.

[0034] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An Internet of Things based distributed electric energy centralized supervision and auxiliary decision system, characterized in that, The application relates to an intelligent power grid supervision system based on an Internet of Things cloud platform, which comprises an Internet of Things cloud platform processing unit, a review decision system, a supervision system and a database, wherein the output end of the Internet of Things cloud platform processing unit is electrically connected with the input end of the review decision system and the supervision system, the output end of the Internet of Things cloud platform processing unit is electrically connected with the input end of the database, the supervision system comprises a monitoring unit and a management unit, the input end of the management unit is electrically connected with the output end of the monitoring unit, the output end of the monitoring unit is electrically connected with the input end of the review decision system, and the output end of the supervision system and the review decision system is electrically connected with the input end of the database; the Internet of Things cloud platform processing unit is used for connecting with multiple front-end distributed power nodes; the review decision system is used for simulating review of instructions of the supervision system and is also used for modifying the instructions; the monitoring unit is used for acquiring front-end distributed power node data and performing preliminary analysis; the management unit is used for performing deep analysis on the preliminary analysis data and making control instructions; and the database is used for storing data acquired by the review decision system and the supervision system and instructions issued according to time nodes. The review decision system comprises an instruction receiving module, an instruction review simulation module, a review analysis module, a result evaluation module, an instruction modification module and a wireless sending module, the output end of the instruction receiving module is electrically connected with the input end of the instruction review simulation module, the output end of the instruction review simulation module is electrically connected with the input end of the review analysis module, the output end of the review analysis module is electrically connected with the input end of the result evaluation module, the output end of the result evaluation module is electrically connected with the input end of the instruction modification module, and the output end of the instruction modification module is electrically connected with the input end of the wireless sending module. The instruction receiving module is used for receiving adjustment instructions sent by an instruction uploading module; the instruction review simulation module is used for performing review simulation according to the uploaded instructions; the review analysis module is used for analyzing data of the review simulation; the result evaluation module is used for evaluating rationality of simulation results; the instruction modification module is used for making corresponding modifications and generating new instructions according to the evaluation results; and the wireless sending module is used for sending the new instructions to front-end distributed power nodes. 2.The centralized monitoring and auxiliary decision system based on the Internet of Things according to claim 1, wherein, The management unit comprises a data receiving module, a feature vector extraction module, a comparison analysis module, a prediction analysis module, an instruction generation module and an instruction uploading module, the output end of the data receiving module is electrically connected with the input end of the feature vector extraction module, the output end of the feature vector extraction module is electrically connected with the input end of the comparison analysis module, the output end of the comparison analysis module is electrically connected with the input end of the prediction analysis module, the output end of the prediction analysis module is electrically connected with the input end of the instruction generation module, and the output end of the instruction generation module is electrically connected with the input end of the instruction uploading module. 3.The centralized monitoring and auxiliary decision system based on the Internet of Things according to claim 2, wherein, The data receiving module is used for receiving data sent by the data uploading module; the feature vector extracting module is used for extracting feature vector values in each item of data; the comparative analysis module is used for comparing the extracted feature vector values with standard values; the prediction analysis module is used for analyzing and predicting the influence of the feature vector values on the front-end distributed power nodes; the instruction generating module is used for generating adjustment instructions according to the comparison results of the feature vector values and the standard values; and the instruction uploading module is used for sending the adjustment instructions to the review decision system. 4.The centralized monitoring and auxiliary decision system based on the Internet of Things according to claim 1, wherein, The database comprises a time node module, a classification module and a storage module, an output end of the time node module is electrically connected with an input end of the classification module, and an output end of the classification module is electrically connected with an input end of the storage module. 5.The centralized monitoring and auxiliary decision system based on the Internet of Things according to claim 4, wherein, The time node module is used for recording time nodes of data input from the review decision system and the supervision system; the classification module is used for sending corresponding data to corresponding storage modules according to the time nodes; and the storage module is used for storing and recording the input data.

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