New energy power monitoring system based on three-dimensional data model

Through a new energy power monitoring system based on three-dimensional data model, a three-dimensional data model of electricity and power information is constructed, and the operating status of each data acquisition feature point is analyzed, which solves the problem of difficult to deal with regional abnormalities in the new energy power generation system in the existing technology. Efficient power monitoring and early warning are achieved.

CN119482915APending Publication Date: 2025-02-18INFORMATION & COMM CO OF STATE GRID XINJIANG ELECTRIC POWER CO LTD +1
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Patent Information

Application Number
CN202411298715.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-18
Publication Date
2025-02-18

AI Technical Summary

Technical Problem

When monitoring abnormal data, it is difficult for existing new energy power generation systems to effectively handle the impact between various monitoring points, making regional abnormalities difficult to detect and deal with in a timely manner.

Method used

Using a new energy power monitoring system based on three-dimensional data model, a three-dimensional data model of electricity information and power information is constructed through data acquisition module, database module, data processing module, data analysis module, model construction module and monitoring and early warning module, a three-dimensional data model of electricity information and power information is analyzed, and each data is analyzed. Collect the electrical energy and power operation status of characteristic points and generate early warning information.

Benefits of technology

A comprehensive analysis and early warning of the operating status of the power and power of each data acquisition characteristic point of the new energy power generation system is realized, which enhances the correlation between the data acquisition points and ensures the independence and accuracy of data analysis.

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Patent Text Reader

Abstract

The invention discloses a new energy power monitoring system based on a three-dimensional data model. The system comprises a data acquisition module, a database module, a data processing module, a data analysis module, a model construction module and a monitoring and early warning module which communicate with a power management center. According to the method, the correlation degree among the data acquisition feature points is enhanced to a certain extent, and the independence in the data analysis process is also ensured.
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Description

Technical Field

[0001] The present invention relates to the field of electric power monitoring, and in particular to a new energy electric power monitoring system based on a three-dimensional data model. Background Art

[0002] With the development of society and the improvement of people's living standards, people's demand for electricity is increasing. With the rapid development of new energy power generation technology, the requirements for its safety performance are also getting higher and higher. If manual maintenance and monitoring are used, it will be a great waste of human and material resources. Therefore, it is necessary to set up an intelligent new energy power monitoring system.

[0003] At present, in the process of monitoring abnormal data, the corresponding new energy power generation system sets up corresponding monitoring points and analyzes them independently to obtain the power abnormal data of the corresponding monitoring points; however, in the process of the new energy power generation system, an abnormality in one place may cause an abnormality in an entire area. Therefore, how to monitor each point while processing the impact of the surrounding data has become an urgent problem to be solved. Summary of the invention

[0004] The object of the present invention is to provide a new energy power monitoring system based on a three-dimensional data model, comprising a data acquisition module, a database module, a data processing module, a data analysis module, a model building module and a monitoring and early warning module that communicate with a power management center;

[0005] The data acquisition module is used to collect monitoring data information of multiple data acquisition feature points of power management area data, and transmit it to the database module and the data analysis module;

[0006] The database module pre-stores reference data information corresponding to each data acquisition feature point;

[0007] The database module constructs a three-dimensional data model based on the reference data information and the received monitoring data information;

[0008] The data analysis module analyzes the monitoring data information and the reference data information, determines the power operation status and the power operation status of each data collection feature point, and sends them to the model building module;

[0009] The model building module builds a three-dimensional data model of electric energy information and a three-dimensional data model of electric power information based on the three-dimensional data model, the electric energy operation status of each data acquisition feature point, and the electric power operation status, and transmits them to the monitoring and early warning module;

[0010] The monitoring and early warning module determines the early warning level of the corresponding data collection feature point according to the three-dimensional data model of electric energy information and the three-dimensional data model of power information, and generates corresponding early warning information.

[0011] Further, the data acquisition module includes an equipment placement unit and a data monitoring unit;

[0012] The equipment placement unit obtains historical monitoring data information in the power management area, and performs analysis and processing to determine data collection feature points in the power management area;

[0013] The steps for analyzing and processing the historical monitoring data information are as follows: obtaining the high load points and equipment failure warning points of the corresponding power management area, obtaining the frequency data of the high load points and equipment failure warning points at the corresponding positions in the corresponding power management area, and setting the data collection feature points according to the frequency data; the data collection feature points are high-incidence locations in the power management area that can exhibit power characteristics.

[0014] The data monitoring unit is installed at each data collection feature point to collect monitoring data information.

[0015] Furthermore, the monitoring data information includes electric energy data information, power data information and environmental data information, as well as data collection feature point marks.

[0016] Further, the database module includes a data preprocessing unit and a data storage unit;

[0017] The data preprocessing unit constructs a corresponding three-dimensional data model according to the data acquisition feature points and the corresponding new energy power generation equipment and transmission lines;

[0018] The three-dimensional data model includes the distribution of different new energy power equipment and detection equipment in three-dimensional space;

[0019] The data storage unit obtains a three-dimensional data model within the power management area, sets a corresponding distributed transmission channel and a data storage space according to the three-dimensional data model, associates the data collection feature points, the data storage space and the corresponding distributed transmission channel, and transmits the collected monitoring data information to the data storage space through the distributed transmission channel for storage;

[0020] Furthermore, the reference data information includes historical environmental parameter information, historical electric energy data information, standard electric energy data information, new energy electric energy loss constants and new energy electric energy abnormality constants corresponding to each data collection feature point.

[0021] Furthermore, the data analysis module analyzes the monitoring data information and the reference data information, and the step of determining the power operation state of the data collection feature point includes:

[0022] The data processing unit extracts historical electric energy data information from the reference data information, and sets corresponding time series and standard power supply information intervals and standard user load information intervals;

[0023] The time series is the standard power supply information interval and the standard user load information interval corresponding to different time periods, which is used to prevent the setting of a single standard interval from affecting the analysis and processing of corresponding data information in different time periods. The data processing unit compares the power supply information and user load information in the power data information with the standard power supply information interval and the standard user load information interval to determine the power operation status information.

[0024] Furthermore, the data analysis module analyzes the monitoring data information and the reference data information to determine the power operation status of the data collection feature point, including:

[0025] The data processing unit extracts environmental data information from the reference data information, matches it with the historical environmental parameter information, and obtains corresponding standard power data according to the matching result;

[0026] The data processing unit sets a normal power operation state interval, an abnormal power operation state interval and a seriously abnormal power operation state interval based on the matched standard power data, the new energy power loss constant and the new energy power abnormal constant;

[0027] The data processing unit matches the power data information in the monitoring data information with each power operation status interval to determine the power operation status of the current data collection feature point; the power operation status includes normal power operation, abnormal power operation and serious abnormal power operation.

[0028] Further, the model building module constructs the three-dimensional data model of electric energy information and the three-dimensional data model of electric power information based on the three-dimensional data model, the electric energy operation state of each data acquisition feature point, and the electric power operation state, respectively, including the following steps:

[0029] The model building module obtains the corresponding three-dimensional data model, the power operation status information of each data acquisition feature point, and the power operation status information of the corresponding power generation equipment;

[0030] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0031] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0032] Further, the monitoring and early warning module includes a monitoring and early warning unit;

[0033] The monitoring and early warning unit is provided with a plurality of early warning levels according to the three-dimensional data model of power information and the three-dimensional data model of electric energy information; each early warning level corresponds to a comprehensive early warning data interval;

[0034] The monitoring and early warning unit obtains the power operation status of the selected data collection feature points based on the three-dimensional data model of power information;

[0035] If the power operation state is an abnormal power operation state or a seriously abnormal power operation state, the abnormal power operation state of the data collection feature point adjacent to the selected data collection feature point is obtained;

[0036] The monitoring and early warning unit sets an abnormality coefficient corresponding to an abnormal power operation state and a serious abnormal power operation state;

[0037] The monitoring and early warning unit counts the number of selected data collection feature points, abnormal power operation states and serious abnormal power operation states of all data collection feature points, and multiplies them by corresponding abnormal coefficients respectively to obtain comprehensive early warning data of the power operation state of the selected data collection feature points, thereby determining the early warning level;

[0038] The monitoring and early warning unit obtains the power operation status information of the selected data collection feature points based on the three-dimensional data model of power information;

[0039] The monitoring and early warning unit sets a correlation radius to obtain the power operation status and early warning level of all data collection feature points within the correlation radius with the selected data collection feature point as the center;

[0040] The monitoring and early warning unit sets a corresponding weight factor according to the electric energy operation status information and the early warning level of the electric power operation status of the corresponding data collection feature point, obtains the dispatching early warning data of the corresponding power equipment, determines the dispatching early warning level, and then generates early warning information including the early warning level and the dispatching early warning level.

[0041] The dispatch warning levels are divided into level one dispatch warning, level two dispatch warning and level three dispatch warning.

[0042] Furthermore, the monitoring and early warning module also includes an early warning processing unit;

[0043] The warning processing unit generates warning processing prompt information based on the warning level and the scheduling warning level, and sends it to the user.

[0044] Furthermore, the power management center is used to obtain the corresponding area of ​​the power system, and according to the power supply and demand of each area, set the corresponding power management area, and mark each power management area;

[0045] The power management center analyzes and processes the data in the power management area according to the marking results, and receives and manages the analysis results from the corresponding data analysis modules of each power management area.

[0046] The technical effect of the present invention is unquestionable. The present invention collects relevant power data information by setting corresponding data collection feature points to obtain the power operation status at the corresponding position. In the process of analyzing it, the power operation status information around the data collection feature points that may affect it is also analyzed to obtain the corresponding power warning level, thereby enhancing the correlation between the various data collection feature points to a certain extent and ensuring the independence of the data analysis process. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] Figure 1 This is the schematic diagram of the new energy power monitoring system based on the three-dimensional data model. DETAILED DESCRIPTION

[0048] The present invention is further described below in conjunction with the embodiments, but it should not be understood that the above subject matter of the present invention is limited to the following embodiments. Without departing from the above technical ideas of the present invention, various substitutions and changes are made according to the common technical knowledge and customary means in the art, which should all be included in the protection scope of the present invention.

[0049] Embodiment 1:

[0050] See also Figure 1 , a new energy power monitoring system based on a three-dimensional data model, including a data acquisition module communicating with a power management center, a database module, a data processing module, a data analysis module, a model building module and a monitoring and early warning module;

[0051] The data acquisition module is used to collect monitoring data information of multiple data acquisition feature points of power management area data, and transmit it to the database module and the data analysis module;

[0052] The database module pre-stores reference data information corresponding to each data acquisition feature point;

[0053] The database module constructs a three-dimensional data model based on the reference data information and the received monitoring data information;

[0054] The data analysis module analyzes the monitoring data information and the reference data information, determines the power operation status and the power operation status of each data collection feature point, and sends them to the model building module;

[0055] The model building module builds a three-dimensional data model of electric energy information and a three-dimensional data model of electric power information based on the three-dimensional data model, the electric energy operation status of each data acquisition feature point, and the electric power operation status, and transmits them to the monitoring and early warning module;

[0056] The monitoring and early warning module determines the early warning level of the corresponding data collection feature point according to the three-dimensional data model of electric energy information and the three-dimensional data model of power information, and generates corresponding early warning information.

[0057] The data acquisition module includes an equipment placement unit and a data monitoring unit;

[0058] The equipment placement unit obtains historical monitoring data information in the power management area, and performs analysis and processing to determine data collection feature points in the power management area;

[0059] The steps for analyzing and processing the historical monitoring data information are as follows: obtaining the high load points and equipment failure warning points of the corresponding power management area, obtaining the frequency data of the high load points and equipment failure warning points at the corresponding positions in the corresponding power management area, and setting the data collection feature points according to the frequency data; the data collection feature points are high-incidence locations in the power management area that can exhibit power characteristics.

[0060] The data monitoring unit is installed at each data collection feature point to collect monitoring data information.

[0061] The monitoring data information includes electric energy data information, power data information and environmental data information, as well as data collection feature point marks.

[0062] The database module includes a data preprocessing unit and a data storage unit;

[0063] The data preprocessing unit constructs a corresponding three-dimensional data model according to the data acquisition feature points and the corresponding new energy power generation equipment and transmission lines;

[0064] The three-dimensional data model includes the distribution of different new energy power equipment and detection equipment in three-dimensional space;

[0065] The data storage unit obtains a three-dimensional data model within the power management area, sets a corresponding distributed transmission channel and a data storage space according to the three-dimensional data model, associates the data collection feature points, the data storage space and the corresponding distributed transmission channel, and transmits the collected monitoring data information to the data storage space through the distributed transmission channel for storage;

[0066] The reference data information includes historical environmental parameter information, historical electric energy data information, standard electric energy data information, new energy electric energy loss constants and new energy electric energy abnormality constants corresponding to each data collection feature point.

[0067] The data analysis module analyzes the monitoring data information and the reference data information, and the step of determining the power operation state of the data collection feature point includes:

[0068] The data processing unit extracts historical electric energy data information from the reference data information, and sets corresponding time series and standard power supply information intervals and standard user load information intervals;

[0069] The time series is the standard power supply information interval and the standard user load information interval corresponding to different time periods, which is used to prevent the setting of a single standard interval from affecting the analysis and processing of corresponding data information in different time periods. The data processing unit compares the power supply information and user load information in the power data information with the standard power supply information interval and the standard user load information interval to determine the power operation status information.

[0070] The data analysis module analyzes the monitoring data information and the reference data information, and the step of determining the power operation status of the data collection feature point includes:

[0071] The data processing unit extracts environmental data information from the reference data information, matches it with the historical environmental parameter information, and obtains corresponding standard power data according to the matching result;

[0072] The data processing unit sets a normal power operation state interval, an abnormal power operation state interval and a seriously abnormal power operation state interval based on the matched standard power data, the new energy power loss constant and the new energy power abnormal constant;

[0073] The data processing unit matches the power data information in the monitoring data information with each power operation status interval to determine the power operation status of the current data collection feature point; the power operation status includes normal power operation, abnormal power operation and serious abnormal power operation.

[0074] The model building module constructs the electric energy information three-dimensional data model and the electric power information three-dimensional data model based on the three-dimensional data model, the electric energy operation state of each data acquisition feature point, and the electric power operation state, respectively, including the following steps:

[0075] The model building module obtains the corresponding three-dimensional data model, the power operation status information of each data acquisition feature point, and the power operation status information of the corresponding power generation equipment;

[0076] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0077] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0078] The monitoring and early warning module includes a monitoring and early warning unit;

[0079] The monitoring and early warning unit is provided with a plurality of early warning levels according to the three-dimensional data model of power information and the three-dimensional data model of electric energy information; each early warning level corresponds to a comprehensive early warning data interval;

[0080] The monitoring and early warning unit obtains the power operation status of the selected data collection feature points based on the three-dimensional data model of power information;

[0081] If the power operation state is an abnormal power operation state or a seriously abnormal power operation state, the abnormal power operation state of the data collection feature point adjacent to the selected data collection feature point is obtained;

[0082] The monitoring and early warning unit sets an abnormality coefficient corresponding to an abnormal power operation state and a serious abnormal power operation state;

[0083] The monitoring and early warning unit counts the number of selected data collection feature points, abnormal power operation states and serious abnormal power operation states of all data collection feature points, and multiplies them by corresponding abnormal coefficients respectively to obtain comprehensive early warning data of the power operation state of the selected data collection feature points, thereby determining the early warning level;

[0084] The monitoring and early warning unit obtains the power operation status information of the selected data collection feature points based on the three-dimensional data model of power information;

[0085] The monitoring and early warning unit sets a correlation radius to obtain the power operation status and early warning level of all data collection feature points within the correlation radius with the selected data collection feature point as the center;

[0086] The monitoring and early warning unit sets a corresponding weight factor according to the electric energy operation status information and the early warning level of the electric power operation status of the corresponding data collection feature point, obtains the dispatching early warning data of the corresponding power equipment, determines the dispatching early warning level, and then generates early warning information including the early warning level and the dispatching early warning level.

[0087] The dispatch warning levels are divided into level one dispatch warning, level two dispatch warning and level three dispatch warning.

[0088] The monitoring and early warning module also includes an early warning processing unit;

[0089] The warning processing unit generates warning processing prompt information based on the warning level and the scheduling warning level, and sends it to the user.

[0090] The power management center is used to obtain the corresponding area of ​​the power system, and set the corresponding power management area according to the power supply and demand of each area, and mark each power management area;

[0091] The power management center analyzes and processes the data in the power management area according to the marking results, and receives and manages the analysis results from the corresponding data analysis modules of each power management area.

[0092] Embodiment 2:

[0093] A new energy power monitoring system based on a three-dimensional data model includes a data acquisition module, a database module, a data processing module, a data analysis module, a model building module and a monitoring and early warning module that communicate with a power management center;

[0094] The data acquisition module is used to collect monitoring data information of multiple data acquisition feature points of power management area data, and transmit it to the database module and the data analysis module;

[0095] The database module pre-stores reference data information corresponding to each data acquisition feature point;

[0096] The database module constructs a three-dimensional data model based on the reference data information and the received monitoring data information;

[0097] The data analysis module analyzes the monitoring data information and the reference data information, determines the power operation status and the power operation status of each data collection feature point, and sends them to the model building module;

[0098] The model building module builds a three-dimensional data model of electric energy information and a three-dimensional data model of electric power information based on the three-dimensional data model, the electric energy operation status of each data acquisition feature point, and the electric power operation status, and transmits them to the monitoring and early warning module;

[0099] The monitoring and early warning module determines the early warning level of the corresponding data collection feature point according to the three-dimensional data model of electric energy information and the three-dimensional data model of power information, and generates corresponding early warning information.

[0100] Embodiment 3:

[0101] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as that of Example 2, further, the data acquisition module includes an equipment placement unit and a data monitoring unit;

[0102] The equipment placement unit obtains historical monitoring data information in the power management area, and performs analysis and processing to determine data collection feature points in the power management area;

[0103] The steps for analyzing and processing the historical monitoring data information are as follows: obtaining the high load points and equipment failure warning points of the corresponding power management area, obtaining the frequency data of the high load points and equipment failure warning points at the corresponding positions in the corresponding power management area, and setting the data collection feature points according to the frequency data; the data collection feature points are high-incidence locations in the power management area that can exhibit power characteristics.

[0104] The data monitoring unit is installed at each data collection feature point to collect monitoring data information.

[0105] Embodiment 4:

[0106] A new energy power monitoring system based on a three-dimensional data model, the technical content of which is the same as any one of Examples 2-3, and further, the monitoring data information includes electric energy data information, power data information and environmental data information, as well as data collection feature point markers.

[0107] Embodiment 5:

[0108] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as any one of embodiments 2-4, further, the database module includes a data preprocessing unit and a data storage unit;

[0109] The data preprocessing unit constructs a corresponding three-dimensional data model according to the data acquisition feature points and the corresponding new energy power generation equipment and transmission lines;

[0110] The data storage unit obtains a three-dimensional data model within the power management area, sets a corresponding distributed transmission channel and a data storage space according to the three-dimensional data model, associates the data collection feature points, the data storage space and the corresponding distributed transmission channel, and transmits the collected monitoring data information to the data storage space through the distributed transmission channel for storage;

[0111] Embodiment 6:

[0112] A new energy power monitoring system based on a three-dimensional data model, the technical content of which is the same as any one of Examples 2-5, and further, the reference data information includes historical environmental parameter information, historical electric energy data information, standard electric energy data information, new energy power loss constants and new energy power abnormality constants corresponding to each data collection feature point.

[0113] Embodiment 7:

[0114] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as any one of embodiments 2-6, further, the data analysis module analyzes the monitoring data information and the reference data information, and the step of judging the power operation state of the data collection feature point includes:

[0115] The data processing unit extracts historical electric energy data information from the reference data information, and sets corresponding time series and standard power supply information intervals and standard user load information intervals;

[0116] The time series is the standard power supply information interval and the standard user load information interval corresponding to different time periods, which is used to prevent the setting of a single standard interval from affecting the analysis and processing of corresponding data information in different time periods. The data processing unit compares the power supply information and user load information in the power data information with the standard power supply information interval and the standard user load information interval to determine the power operation status information.

[0117] Embodiment 8:

[0118] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as any one of embodiments 2-7, further, the data analysis module analyzes the monitoring data information and the reference data information, and the step of judging the power operation state of the data collection feature point includes:

[0119] The data processing unit extracts environmental data information from the reference data information, matches it with the historical environmental parameter information, and obtains corresponding standard power data according to the matching result;

[0120] The data processing unit sets a normal power operation state interval, an abnormal power operation state interval and a seriously abnormal power operation state interval based on the matched standard power data, the new energy power loss constant and the new energy power abnormal constant;

[0121] The data processing unit matches the power data information in the monitoring data information with each power operation status interval to determine the power operation status of the current data collection feature point; the power operation status includes normal power operation, abnormal power operation and serious abnormal power operation.

[0122] Embodiment 9:

[0123] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as any one of embodiments 2-8, further, the model construction module is based on the three-dimensional data model, the power operation state of each data acquisition feature point, and the power operation state, and the steps of constructing the three-dimensional data model of electric energy information and the three-dimensional data model of power information respectively include:

[0124] The model building module obtains the corresponding three-dimensional data model, the power operation status information of each data acquisition feature point, and the power operation status information of the corresponding power generation equipment;

[0125] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0126] The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information;

[0127] The data collection feature points are also the distribution of the corresponding monitoring equipment in the three-dimensional space, and the corresponding data collection feature points are marked as marks corresponding to the distribution positions of the corresponding monitoring equipment in the three-dimensional space;

[0128] The three-dimensional data model shows the distribution of different new energy power equipment and detection equipment in three-dimensional space.

[0129] Embodiment 10:

[0130] A new energy power monitoring system based on a three-dimensional data model, the technical content is the same as any one of embodiments 2-9, further, the monitoring and early warning module includes a monitoring and early warning unit;

[0131] The monitoring and early warning unit is provided with a plurality of early warning levels according to the three-dimensional data model of power information and the three-dimensional data model of electric energy information; each early warning level corresponds to a comprehensive early warning data interval;

[0132] The monitoring and early warning unit obtains the power operation status of the selected data collection feature points based on the three-dimensional data model of power information;

[0133] If the power operation state is an abnormal power operation state or a seriously abnormal power operation state, the abnormal power operation state of the data collection feature point adjacent to the selected data collection feature point is obtained;

[0134] The monitoring and early warning unit sets an abnormality coefficient corresponding to an abnormal power operation state and a serious abnormal power operation state;

[0135] The monitoring and early warning unit counts the number of selected data collection feature points, abnormal power operation states and serious abnormal power operation states of all data collection feature points, and multiplies them by corresponding abnormal coefficients respectively to obtain comprehensive early warning data of the power operation state of the selected data collection feature points, thereby determining the early warning level;

[0136] The monitoring and early warning unit obtains the power operation status information of the selected data collection feature points based on the three-dimensional data model of power information;

[0137] The monitoring and early warning unit sets a correlation radius to obtain the power operation status and early warning level of all data collection feature points within the correlation radius with the selected data collection feature point as the center;

[0138] The monitoring and early warning unit sets a corresponding weight factor according to the electric energy operation status information and the early warning level of the electric power operation status of the corresponding data collection feature point, obtains the dispatching early warning data of the corresponding power equipment, determines the dispatching early warning level, and then generates early warning information including the early warning level and the dispatching early warning level.

[0139] Embodiment 11:

[0140] A new energy power monitoring system based on a three-dimensional data model, the technical content of which is the same as any one of Embodiments 2-10, and further, the monitoring and early warning module also includes an early warning processing unit;

[0141] The warning processing unit generates warning processing prompt information based on the warning level and the scheduling warning level, and sends it to the user.

[0142] Example 12:

[0143] A new energy power monitoring system based on a three-dimensional data model, the technical content of which is the same as any one of embodiments 2-11, further, the power management center is used to obtain the corresponding area of ​​the power system, and according to the power supply and demand of each area, set the corresponding power management area, and mark each power management area;

[0144] The power management center analyzes and processes the data in the power management area according to the marking results, and receives and manages the analysis results from the corresponding data analysis modules of each power management area.

[0145] Embodiment 12:

[0146] A new energy power monitoring system based on a three-dimensional data model includes a power management center, wherein the power management center is communicatively connected with a data acquisition module, a database module, a data processing module, a data analysis module, a model building module and a monitoring and early warning module;

[0147] The data acquisition module is used to set corresponding data acquisition feature points for the relevant power management area and install a monitoring device, and obtain data information at the corresponding location through the monitoring device;

[0148] The database module is used to store the collected data information and corresponding reference data information, and to construct a three-dimensional data model;

[0149] The data processing module is used to determine the power operation status at the corresponding position according to the corresponding data information, and send it to the model building module;

[0150] The data analysis module is used to determine the power operation status at the corresponding location according to the corresponding data information, and send it to the model building module;

[0151] The model building module is used to build corresponding electric energy information three-dimensional data models and electric power information three-dimensional data models according to the three-dimensional data model and the electric energy operation status and electric power operation status at the corresponding positions, and send the built models to the monitoring and early warning module;

[0152] The monitoring and early warning module obtains the early warning level at the corresponding position according to the operating status at the corresponding position in the energy information three-dimensional data model and the power information three-dimensional data model, generates corresponding early warning information and processes it.

[0153] The data collection module sets corresponding data collection feature points for the relevant power management area and installs a monitoring device, and the process of acquiring data information at the corresponding position through the monitoring device includes:

[0154] The data acquisition module is provided with a device placement unit and a data monitoring unit;

[0155] The equipment placement unit is used to place monitoring devices in the relevant power management area; obtain historical data information in the corresponding power management area; analyze and process the historical data information, obtain data collection feature points in the power management area, and install corresponding monitoring devices according to the obtained data collection feature points;

[0156] The data monitoring unit is used to collect corresponding data information according to the installed monitoring device, obtain corresponding electric energy data information, power data information and environmental data information, and mark the collected data information according to corresponding data collection feature points.

[0157] The database module stores the collected data information and the corresponding reference data information, and the process of constructing a three-dimensional data model includes:

[0158] The data acquisition module is provided with a data preprocessing unit and a data storage unit;

[0159] The data preprocessing unit is used to construct a corresponding three-dimensional data model according to the set data acquisition feature points and the corresponding new energy power generation equipment and transmission lines;

[0160] The data storage unit obtains a three-dimensional data model within the corresponding power management area, sets a corresponding distributed transmission channel and data storage space according to the obtained three-dimensional data model, associates the corresponding data acquisition feature points and data storage space with the corresponding distributed transmission channel, and transmits the collected data information to the data storage space through the distributed transmission channel for storage; the data storage unit is also provided with a parameter storage space; the parameter storage space is used to store the historical environmental parameter information of the corresponding position of the corresponding data acquisition feature point and its corresponding standard power data.

[0161] The process of the data processing module determining the power running state at the corresponding position according to the corresponding data information includes:

[0162] The data processing unit is used to obtain corresponding electric energy data information, which includes corresponding power supply information and user load information; obtain historical electric energy data information stored in the corresponding power generation equipment; set the corresponding time series and its corresponding standard power supply information interval and standard user load information interval according to the historical electric energy data information; analyze and process the power supply information and user load information respectively with the standard power supply information interval and the standard user load information interval to determine the electric energy operation status information of the corresponding power equipment.

[0163] The process of the data analysis module determining the power operation status at the corresponding location according to the corresponding data information includes:

[0164] The data analysis module obtains corresponding power data information and environmental data information; matches the obtained environmental data information with the corresponding historical environmental parameter information, and obtains the corresponding standard power data according to the matching result, wherein a new energy power loss constant and a new energy power abnormality constant are also provided; according to the management between the standard power data and the new energy power loss constant and the new energy power abnormality constant, a power operation normal state interval, a power operation abnormal state interval and a power operation serious abnormal state interval are set; the obtained power data information is matched with each power operation state interval, and the operation state of the corresponding data collection feature point is obtained according to the interval to which it belongs, and the power operation state information is generated according to the operation state and sent to the model construction module.

[0165] The process of the model building module building a corresponding electric energy information three-dimensional data model and a power information three-dimensional data model according to the three-dimensional data model and the electric energy operation state and the power operation state at the corresponding position includes:

[0166] The model building module obtains the corresponding three-dimensional data model, the power operation status information of each data acquisition feature point, and the power operation status information of the corresponding power generation equipment;

[0167] According to the power operation status information at the corresponding position of each data collection feature point in the three-dimensional data model and its abnormality degree, a corresponding color mark is set to construct a three-dimensional data model of power information;

[0168] According to the power operation status information of each power generation equipment in the three-dimensional data model and its abnormality degree, color marking is set to construct a three-dimensional data model of power information;

[0169] The obtained three-dimensional data model of electric power information and three-dimensional data model of electric energy information are sent to the monitoring and early warning module.

[0170] The monitoring and early warning module obtains the early warning level at the corresponding position according to the operating status at the corresponding position in the energy information three-dimensional data model and the power information three-dimensional data model, and generates the corresponding early warning information in the process including:

[0171] The monitoring and early warning module is provided with a monitoring and early warning unit and an early warning processing unit;

[0172] The monitoring and early warning unit is used to set a corresponding early warning level according to the corresponding three-dimensional data model of power information and the three-dimensional data model of electric energy information;

[0173] Obtain the power operation state corresponding to the corresponding data collection feature point in the three-dimensional data model of power information. If it is an abnormal power operation state or a serious abnormal power operation state, obtain the abnormal power operation state of the data collection feature point adjacent to the data collection feature point; obtain the number of abnormal power operation states and serious abnormal power operation states, and set corresponding abnormal coefficients for the abnormal power operation state and the serious abnormal power operation state respectively; multiply the obtained number by the corresponding abnormal coefficient to obtain the comprehensive early warning data of the power operation state of the data collection feature point, and obtain its early warning level according to the comprehensive early warning data;

[0174] Obtain the electric energy operation status information of the corresponding electric energy equipment in the three-dimensional data model of electric energy information; set the correlation radius, and obtain the electric energy operation status and its warning level of the corresponding data collection feature point in the three-dimensional data model of electric energy information within the corresponding range in the three-dimensional data model of electric energy information according to the correlation radius; set the corresponding weight factor according to the electric energy operation status information and the warning level of the electric energy operation status of the corresponding data collection feature point, obtain the dispatch warning data of the corresponding electric energy equipment, and obtain its dispatch warning level according to the dispatch warning data;

[0175] The monitoring and early warning unit generates corresponding early warning information according to the corresponding early warning level and the dispatching early warning level and sends it to the early warning processing unit.

[0176] The process of the monitoring and early warning module processing the corresponding early warning information includes:

[0177] The warning processing unit is used for related staff to take corresponding measures according to the obtained warning information and dispatch warning information.

Claims

1. A new energy power monitoring system based on a three-dimensional data model, characterized in that: It includes a data acquisition module that communicates with the power management center, a database module, a data processing module, a data analysis module, a model building module and a monitoring and early warning module. The data acquisition module is used to collect monitoring data information of multiple data acquisition feature points of the power management area data, and transmit it to the database module and the data analysis module. The database module pre-stores reference data information corresponding to each data acquisition feature point; The database module constructs a three-dimensional data model based on the reference data information and the received monitoring data information; The data analysis module analyzes the monitoring data information and the reference data information, determines the power operation status and the power operation status of each data collection feature point, and sends them to the model building module; The model building module builds a three-dimensional data model of electric energy information and a three-dimensional data model of electric power information based on the three-dimensional data model, the electric energy operation status of each data acquisition feature point, and the electric power operation status, and transmits them to the monitoring and early warning module; The monitoring and early warning module determines the early warning level of the corresponding data collection feature point according to the three-dimensional data model of electric energy information and the three-dimensional data model of power information, and generates corresponding early warning information.

2. A new energy power monitoring system based on a three-dimensional data model according to claim 1, characterized in that: The data acquisition module includes an equipment placement unit and a data monitoring unit; The equipment placement unit obtains historical monitoring data information in the power management area, and performs analysis and processing to determine data collection feature points in the power management area; The steps of analyzing and processing the historical monitoring data information are: obtaining high load points and equipment failure warning points in the corresponding power management area, obtaining frequency data of the high load points and equipment failure warning points at corresponding positions in the corresponding power management area, and setting data collection feature points according to the frequency data; The data monitoring unit is installed at each data collection feature point to collect monitoring data information. The monitoring data information includes electric energy data information, power data information and environmental data information, as well as data collection feature point marks.

3. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The power management center is used to obtain the corresponding area of ​​the power system, and set the corresponding power management area according to the power supply and demand of each area, and mark each power management area; The power management center analyzes and processes the data in the power management area according to the marking results, and receives and manages the analysis results from the corresponding data analysis modules of each power management area.

4. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The database module includes a data preprocessing unit and a data storage unit; The data preprocessing unit constructs a corresponding three-dimensional data model according to the data acquisition feature points and the corresponding new energy power generation equipment and transmission lines; The three-dimensional data model includes the distribution of different new energy power equipment and detection equipment in three-dimensional space; The data storage unit obtains a three-dimensional data model within the power management area, sets corresponding distributed transmission channels and data storage space according to the three-dimensional data model, associates data collection feature points, data storage space and corresponding distributed transmission channels, and transmits the collected monitoring data information to the data storage space through the distributed transmission channel for storage.

5. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The reference data information includes historical environmental parameter information, historical electric energy data information, standard electric energy data information, new energy electric energy loss constants and new energy electric energy abnormality constants corresponding to each data collection feature point.

6. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The data analysis module analyzes the monitoring data information and the reference data information, and the step of determining the power operation state of the data collection feature point includes: The data processing unit extracts historical electric energy data information from the reference data information, and sets corresponding time series and standard power supply information intervals and standard user load information intervals; the time series is the standard power supply information intervals and standard user load information intervals corresponding to different time periods. The data processing unit compares the power supply information and the user load information in the power data information with the standard power supply information interval and the standard user load information interval respectively to determine the power operation status information.

7. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The data analysis module analyzes the monitoring data information and the reference data information, and the step of determining the power operation status of the data collection feature point includes: The data processing unit extracts environmental data information from the reference data information, matches it with the historical environmental parameter information, and obtains corresponding standard power data according to the matching result; The data processing unit sets a normal power operation state interval, an abnormal power operation state interval and a seriously abnormal power operation state interval based on the matched standard power data, the new energy power loss constant and the new energy power abnormal constant; The data processing unit matches the power data information in the monitoring data information with each power operation status interval to determine the power operation status of the current data collection feature point; the power operation status includes normal power operation, abnormal power operation and serious abnormal power operation.

8. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The model building module constructs the electric energy information three-dimensional data model and the electric power information three-dimensional data model based on the three-dimensional data model, the electric energy operation state of each data acquisition feature point, and the electric power operation state, respectively, including the following steps: The model building module obtains the corresponding three-dimensional data model, the power operation status information of each data acquisition feature point, and the power operation status information of the corresponding power generation equipment; The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information; The model building module sets a mark for representing the degree of abnormality at a corresponding position of each data collection feature point in the three-dimensional data model according to the power operation status information, thereby building a three-dimensional data model of power information.

9. The new energy power monitoring system based on a three-dimensional data model according to claim 1 is characterized in that: The monitoring and early warning module includes a monitoring and early warning unit; The monitoring and early warning unit is provided with a plurality of early warning levels according to the three-dimensional data model of power information and the three-dimensional data model of electric energy information; each early warning level corresponds to a comprehensive early warning data interval; The monitoring and early warning unit obtains the power operation status of the selected data collection feature points based on the three-dimensional data model of power information; If the power operation state is an abnormal power operation state or a seriously abnormal power operation state, the abnormal power operation state of the data collection feature point adjacent to the selected data collection feature point is obtained; The monitoring and early warning unit sets an abnormality coefficient corresponding to an abnormal power operation state and a serious abnormal power operation state; The monitoring and early warning unit counts the number of selected data collection feature points, abnormal power operation states and serious abnormal power operation states of all data collection feature points, and multiplies them by corresponding abnormal coefficients respectively to obtain comprehensive early warning data of the power operation state of the selected data collection feature points, thereby determining the early warning level; The monitoring and early warning unit obtains the power operation status information of the selected data collection feature points based on the three-dimensional data model of power information; The monitoring and early warning unit sets a correlation radius to obtain the power operation status and early warning level of all data collection feature points within the correlation radius with the selected data collection feature point as the center; The monitoring and early warning unit sets a corresponding weight factor according to the electric energy operation status information and the early warning level of the electric power operation status of the corresponding data collection feature point, obtains the dispatch early warning data of the corresponding power equipment, determines the dispatch early warning level, and then generates early warning information including the warning level and the dispatch early warning level; the dispatch early warning level is divided into first-level dispatch early warning, second-level dispatch early warning and third-level dispatch early warning.

10. A new energy power monitoring system based on a three-dimensional data model according to claim 9, characterized in that: The monitoring and early warning module also includes an early warning processing unit; The warning processing unit generates warning processing prompt information based on the warning level and the scheduling warning level, and sends it to the user.