Virtual power station monitoring system and method

Abstract

The invention discloses a virtual power station monitoring system and method, and the system comprises a virtual equipment model which is used for simulating the dynamic response of real equipment under various working conditions, and generating corresponding monitoring data; the virtual sensor is used for collecting monitoring data and transmitting the monitoring data to the data processing module and the virtual monitoring machine through the virtual network architecture; the virtual network architecture is used for realizing communication transmission in the system; the data processing module is used for storing the monitoring data, performing abnormal recognition on the monitoring data, generating a recognition result and feeding back the recognition result to the virtual monitoring machine; and the virtual monitoring machine is used for receiving the monitoring data and the identification result, interacting with the target user, receiving an input instruction of the target user, and issuing the input instruction through the virtual network architecture. According to the invention, the limitation of real equipment can be eliminated, the flexibility of the system is effectively improved, and the training effect and the operation and maintenance efficiency of operators are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of virtual technology, and in particular to a virtual power station monitoring system and method. Background Art

[0002] In modern power systems, equipment operation monitoring and fault diagnosis are the key to ensuring safe and reliable operation of power systems. However, existing power equipment monitoring systems mainly rely on physical equipment and physical monitoring centers, which have the following significant shortcomings:

[0003] (1) Lack of flexibility: Existing monitoring systems usually require operators to monitor and control through fixed physical devices, which lacks the flexibility in a virtualized environment. For different power equipment or usage environments, on-site testing and debugging are required, which increases the consumption of time and resources. In addition, the cost of deploying and maintaining physical equipment is very high, especially when it is necessary to test the responsiveness of equipment in various scenarios on a large scale, this inflexibility is even more exposed.

[0004] (2) Difficulty in conducting simulation tests in complex environments: Existing monitoring systems lack the ability to simulate power equipment under various complex or extreme conditions, such as overload, short circuit, equipment aging, etc. Therefore, it is difficult for operators to conduct comprehensive testing and verification of equipment in a safe environment, resulting in insufficient response capabilities in actual operations, affecting operation and maintenance efficiency and system reliability.

[0005] (3) Limited training and operation drills: As the existing monitoring system cannot flexibly simulate various equipment and fault scenarios in a virtual environment, the training and drills for operators can only rely on physical equipment, which makes it difficult to provide trainees with a sufficiently realistic and safe simulation environment. In addition, physical equipment cannot be repeatedly operated and practiced at any time, which affects the training effect of power industry operators. Summary of the invention

[0006] The purpose of the embodiments of the present invention is to provide a virtual power station monitoring system and method, which can eliminate the limitations of real equipment and enable users to perform remote signaling and remote measurement of virtual equipment models under various working conditions in a virtual environment, effectively improving the flexibility of the system and significantly improving the training effect and operation and maintenance efficiency of operators.

[0007] A first aspect of the present invention provides a virtual power station monitoring system, including: a virtual device model, a virtual sensor, a virtual network architecture, a data processing module and a virtual monitoring machine;

[0008] The virtual device model is used to simulate the dynamic response of the real device under various working conditions and generate corresponding monitoring data;

[0009] The virtual sensor is used to collect the monitoring data and transmit it to the data processing module and the virtual monitoring machine through the virtual network architecture;

[0010] The virtual network architecture is used to implement communication transmission within the system;

[0011] The data processing module is used to store the monitoring data, identify abnormalities in the monitoring data, generate identification results and feed them back to the virtual monitoring machine;

[0012] The virtual monitoring machine is used to receive the monitoring data and the identification result, interact with the target user, receive the input instruction of the target user, and issue the input instruction through the virtual network architecture.

[0013] Optionally, the system further comprises: a virtualization simulation platform;

[0014] The virtualization simulation platform is used to generate the virtual device model and the virtual network architecture.

[0015] The virtualization simulation platform includes: a network simulation unit, a device simulation unit and a simulation test unit;

[0016] The network simulation unit is used to establish a virtual network connection within the virtual power station and configure a communication protocol to obtain the virtual network architecture;

[0017] The device simulation unit is used to generate an initial virtual model according to the electrical structure, mechanical structure and material characteristics of the real device; and configure the initial virtual model according to the operating parameters of the real device to obtain the virtual device model that is a mirror image of the real device;

[0018] The simulation test unit is used to perform simulation tests on the virtual device model under various working conditions, and adjust the dynamic response of the virtual device model according to the operating data of the real device, so that the operating performance of the virtual device model is consistent with that of the real device under various working conditions.

[0019] The data processing module includes: a background database and an abnormality identification unit;

[0020] The backend database is used to receive and store the monitoring data of the virtual device model and the identification result of the abnormality identification unit to form device operation records, alarm logs and fault records;

[0021] The abnormality identification unit is used to input the monitoring data into the equipment abnormality identification model, obtain the identification result, and feed it back to the virtual monitoring machine; wherein the identification result includes: equipment abnormal conditions, potential failures and alarm information; the equipment abnormality identification model is configured with an alarm threshold.

[0022] The virtual network architecture comprises: a data transmission unit and an instruction transmission unit; wherein the instruction transmission unit is configured with a virtual control protocol with an embedded response mechanism;

[0023] The data transmission unit is used to sort and transmit the virtual data; wherein the virtual data at least includes: the monitoring data and the identification result;

[0024] The instruction transmission unit is used to obtain the input instructions transmitted by the virtual monitoring machine and forward them to the corresponding components in the system.

[0025] The input instructions include: control instructions and adjustment instructions;

[0026] The control instruction is used to control the virtual device model;

[0027] The adjustment instruction is used at least to adjust the operating parameters of the virtual device model, the alarm threshold in the data processing module and the network configuration in the virtual network architecture.

[0028] The virtual monitoring machine includes: a monitoring receiving unit and an instruction issuing unit;

[0029] The monitoring receiving unit is used to receive the monitoring data and the identification result;

[0030] The instruction input unit is used to obtain the input instruction of the target user.

[0031] The virtual monitoring machine also includes: a virtual monitoring interface;

[0032] The virtual monitoring interface is used to exchange information with the target user, display the monitoring data, and display the operating status of the virtual device model through different identifiers according to the recognition result; and provide an input interface for the instruction input unit.

[0033] The system further comprises: a user management module;

[0034] The user management module is used to assign different system access rights to users of different levels.

[0035] A second aspect of the present invention provides a virtual power station monitoring method, comprising:

[0036] The virtual equipment model is used to simulate the dynamic response of real equipment under various working conditions and generate corresponding monitoring data;

[0037] The monitoring data is collected based on virtual sensors and transmitted to a data processing module and a virtual monitoring machine through a virtual network architecture; wherein the virtual network architecture is used to realize communication transmission;

[0038] Based on the data processing module, the monitoring data is stored, and abnormalities are identified on the monitoring data, and an identification result is generated and fed back to the virtual monitoring machine;

[0039] Based on the virtual monitoring machine receiving the monitoring data and the identification result, and interacting with the target user, receiving the input instruction of the target user, and issuing the input instruction through the virtual network architecture.

[0040] Compared with the prior art, the embodiment of the present invention provides a virtual power station monitoring system and method, the system includes: a virtual device model, a virtual sensor, a virtual network architecture, a data processing module and a virtual monitoring machine; wherein the virtual device model is used to simulate the dynamic response of the real device under various working conditions and generate corresponding monitoring data; the virtual sensor is used to collect monitoring data and transmit it to the data processing module and the virtual monitoring machine through the virtual network architecture; the virtual network architecture is used to realize communication transmission within the system; the data processing module is used to store the monitoring data, identify abnormalities in the monitoring data, generate identification results and feed them back to the virtual monitoring machine; the virtual monitoring machine is used to receive the monitoring data and identification results, and interact with the target user, receive the input instructions of the target user, and issue the input instructions through the virtual network architecture. The present invention can eliminate the limitations of the real device, so that the user can perform remote signaling and telemetry on the virtual device model under various working conditions in a virtual environment, effectively improve the flexibility of the system, and significantly improve the training effect and operation and maintenance efficiency of the operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a structural schematic diagram of an embodiment of the virtual power station monitoring system provided by the present invention.

[0042] Figure 2 It is a flowchart of an embodiment of establishing a virtual device model and a virtual network architecture provided by the present invention;

[0043] Figure 3 It is a structural diagram of an embodiment of a virtual network architecture provided by the present invention;

[0044] Figure 4 It is a flow chart of an embodiment of collecting and identifying monitoring data of a virtual device model provided by the present invention;

[0045] Figure 5 It is a schematic diagram of a flow chart of an embodiment of transmitting monitoring data provided by the present invention;

[0046] Figure 6 It is a flow chart of an embodiment of the virtual power station monitoring method provided by the present invention. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this technical field without creative work are within the scope of protection of the present invention.

[0048] See also Figure 1 , is a structural diagram of an embodiment of a virtual power station monitoring system provided by the present invention.

[0049] The first aspect of the present invention provides a virtual power station monitoring system, including: a virtual device model 11, a virtual sensor 12, a virtual network architecture 13, a data processing module 14 and a virtual monitoring machine 14;

[0050] The virtual device model 11 is used to simulate the dynamic response of the real device under various working conditions and generate corresponding monitoring data;

[0051] The virtual sensor 12 is used to collect the monitoring data and transmit it to the data processing module 14 and the virtual monitoring machine 14 through the virtual network architecture 13;

[0052] The virtual network architecture 13 is used to implement communication transmission within the system;

[0053] The data processing module 14 is used to store the monitoring data, identify abnormalities in the monitoring data, generate identification results and feed them back to the virtual monitoring machine 14;

[0054] The virtual monitoring machine 14 is used to receive the monitoring data and the identification result, and interact with the target user, receive the input instruction of the target user, and issue the input instruction through the virtual network architecture 13.

[0055] It should be noted that the virtual device model 11 in the embodiment of the present invention can accurately simulate the dynamic response of real power equipment under different operating conditions (for example, normal operation, fault state and extreme operating environment) and generate corresponding monitoring data; wherein the monitoring data includes but is not limited to voltage, current, temperature and power; the virtual device model 11 includes but is not limited to circuit breakers, disconnectors and transformers.

[0056] The virtual sensor 12 simulates the function of a real sensor, can accurately capture the monitoring data generated by the virtual device model 11, and transmit it through the virtual network architecture 13.

[0057] The virtual network architecture 13 is equivalent to the neural network of the system, which is responsible for realizing data communication and transmission within the entire system, ensuring that the monitoring data can be quickly and stably transmitted to the data processing module 14 and the virtual monitoring machine 14, and supporting the transmission of input instructions.

[0058] The data processing module 14 is responsible for storing and analyzing monitoring data. Through a preset equipment abnormality identification model (such as that constructed by a preset intelligent algorithm or a threshold judgment method based on equipment performance), it promptly detects whether the virtual equipment model 11 is in an abnormal state or has potential problems, etc., and feeds back the corresponding identification results to the virtual monitoring machine 14.

[0059] The virtual monitoring machine 14 not only receives monitoring data and identification results, but also can interact directly with the target user and support user input instructions, so that the target user can control the system through the virtual monitoring machine 14, and send the input instructions to the corresponding internal components of the system, such as the virtual device model 11, through the virtual network architecture 13. The embodiment of the present invention can control the virtual device model 11 in various working conditions in real time in a virtual environment, and realize remote signaling and telemetry of the virtual device model 11 through the virtual sensor 12 and the virtual network architecture 13, which effectively improves the flexibility of the system and significantly improves the training effect and operation and maintenance efficiency of operators.

[0060] In an optional embodiment, the system further includes: a virtualization simulation platform;

[0061] The virtualization simulation platform is used to generate the virtual device model 11 and the virtual network architecture 13.

[0062] Furthermore, the virtualization simulation platform includes: a network simulation unit, a device simulation unit and a simulation test unit;

[0063] The network simulation unit is used to establish a virtual network connection within the virtual power station and configure a communication protocol to obtain the virtual network architecture 13;

[0064] The device simulation unit is used to generate an initial virtual model according to the electrical structure, mechanical structure and material characteristics of the real device; and configure the initial virtual model according to the operating parameters of the real device to obtain the virtual device model 11 that is a mirror image of the real device;

[0065] The simulation test unit is used to perform simulation tests on the virtual device model 11 under various working conditions, and adjust the dynamic response of the virtual device model 11 according to the operating data of the real device, so that the operating performance of the virtual device model 11 under various working conditions is consistent with that of the real device.

[0066] It should be noted that a virtual simulation platform is built through virtualization technology, which can simulate real equipment in the power system / power station, namely, primary equipment (such as circuit breakers, disconnectors and transformers, etc.) and secondary equipment, generate corresponding virtual equipment models 11; and build a virtual network connection in the virtual power station, and configure the communication protocol to obtain a virtual network architecture 13. By configuring the virtual network architecture 13 and the virtual equipment model 11 in the virtual environment, data interaction and instruction transmission between the virtual equipment model 11 and other components in the system can be ensured to form a complete virtual power station or a virtual power station monitoring system, such as Figure 2 shown.

[0067] The communication protocols configured in the virtual network architecture 13 include but are not limited to virtual control protocols and network protocols such as TCP / IP. The virtual control protocol allows users to send control instructions (such as device start and stop, switching, switch operation, obtaining device status and resetting devices, etc.) in a virtual environment through a standardized communication interface to operate the virtual device model 11 in real time. The control instructions are quickly and accurately transmitted to each virtual device model through the system programming interface (API). Figure 3 shown.

[0068] In the equipment simulation unit, based on the physical characteristics of the real power equipment, i.e. its electrical structure, mechanical construction and material characteristics, a detailed mathematical model is created using modeling software, i.e. an initial virtual model is generated. The initial virtual model can simulate the electrical characteristics of the equipment (such as the dynamic changes of parameters such as current, voltage, power, etc.), mechanical motion characteristics (such as switch action time, circuit breaker operating torque, disconnector motion path, etc.), and thermodynamic behavior (such as simulating the heating, heat dissipation and temperature rise characteristics of the real equipment), ensuring that the subsequent virtual equipment model 11 can accurately reflect the dynamic response process of the real equipment under various working conditions.

[0069] Specifically, in terms of electrical structure, the current level, voltage level and power range of the equipment are mainly analyzed to ensure that the electrical behavior of the equipment in normal operation and overload conditions can be captured. According to the electrical characteristics of the equipment, mathematical equations of parameters such as current, voltage and power changes are established to simulate the electrical response of the real equipment under different load conditions. These mathematical equations will perform circuit analysis and dynamic change simulation of electrical parameters based on the working characteristics of the real equipment to ensure that the subsequent virtualized equipment model can accurately reflect the operating characteristics of the equipment under various working conditions.

[0070] In terms of mechanical structure, it mainly includes the moving parts of the equipment, such as the operating mechanism of the circuit breaker, the moving mechanism of the disconnector, etc., and clarifies its working principle, mechanical characteristics and response speed. According to the mechanical motion characteristics, a kinematic model related to the operation of the equipment is established. For example, for a circuit breaker, it is necessary to build an accurate model of its switching action time, taking into account the mechanical motion path, springs and other operating parts of the mechanical properties. For disconnectors, it is necessary to build a detailed model of its motion path during the switching process to ensure that its accurate motion behavior can be simulated under different operating speeds and external influences.

[0071] In view of thermodynamic behavior, the heating and heat dissipation model of the equipment is established according to the material characteristics of the equipment and the heat dissipation condition characteristics of the material itself. For example, for high-current equipment, it is necessary to simulate its temperature rise process during operation and calculate the heat generation and dissipation rate of the equipment. Through these thermodynamic models, the temperature rise characteristics of the equipment under different ambient temperatures, working currents and other factors can be dynamically reflected to ensure that the temperature change of the equipment after long-term operation can be consistent with the actual situation.

[0072] After the initial virtual model is constructed, the actual operating parameters of the real device (such as rated current, rated voltage, switching action time, etc.) are imported into the initial virtual model, and it is finely configured to obtain the virtual device model 11 to ensure that the virtual device model 11 is consistent with the operating performance of the real device under various working conditions.

[0073] Specifically, the actual operating parameters of the real device are imported, such as the rated current, rated voltage, power factor, switch action time, operating torque and other key operating parameters of the device. Through the input of these actual operating parameters, the initial virtual model can be further refined to ensure that the virtual device model 11 performs consistently with the real device under various operating conditions. The determination and import of operating parameters are based on the specifications of the equipment and the data provided by the manufacturer. For example, for a circuit breaker, it is necessary to input information such as its rated current, the delay of the switch action, and the torque required for operation; for an isolating switch, it is necessary to input the switch switching time and its displacement path in different states. For transformers or other large equipment, specific parameters such as their rated load and temperature rise curve must also be considered. These operating parameters will directly affect the electrical characteristics, mechanical motion characteristics and thermodynamic behavior of the virtual device model 11.

[0074] In the simulation test unit, the constructed virtual device model 11 is subjected to multiple simulation tests in a virtual environment to simulate the device response under normal working conditions and extreme working conditions (such as overload, short circuit, and fault), and the dynamic response of the virtual device model 11 is adjusted to optimize its performance under different working conditions, ensuring that the virtual device model 11 can accurately reflect the dynamic behavior of the real device, and further ensuring that it has accurate simulation capabilities to meet different testing and training needs.

[0075] Specifically, after the operating parameters are imported, the virtual device model 11 is simulated and verified multiple times. First, the simulation is run under normal working conditions to observe the dynamic response of the virtual device model 11 under rated conditions, such as the fluctuation of current and voltage, the time and response speed of the switch action, etc.; and the performance of the model is tested under extreme working conditions to simulate the operating behavior of the device under overload, short circuit, etc., to ensure that the virtual device model 11 can correctly reflect the performance of the real device under fault or extreme conditions.

[0076] After each simulation test, the dynamic response of the virtual device model 11 is adjusted by comparing the simulation results with the operating data of the real device. Correct the inaccurate parameters and structures in the virtual device model 11, such as adjusting the delay of the switch action, the change of the operating force, or the adjustment of the electrical parameters, until the simulation results match the operation of the real device. After the dynamic response adjustment of the virtual device model 11 is completed, enter the fault state simulation, and verify whether the behavior of the device under fault conditions meets expectations by simulating common faults of the device (such as overload, short circuit, power failure, etc.).

[0077] After multiple simulations and adjustments, it is possible to ensure that the virtual device model 11 has accurate simulation capabilities, so that the final virtual device model 11 can cope with different working conditions, including normal operation and fault conditions, and meet different testing and training requirements. Through this series of refined configurations and repeated verifications, the obtained virtual device model 11 can provide users with reliable equipment simulation effects in the virtual monitoring system, and provide strong support for operation training, fault emergency drills and system optimization.

[0078] In an optional embodiment, the data processing module 14 includes: a background database and an abnormality identification unit;

[0079] The backend database is used to receive and store the monitoring data of the virtual device model 11 and the identification result of the abnormality identification unit to form equipment operation records, alarm logs and fault records;

[0080] The abnormality identification unit is used to input the monitoring data into the equipment abnormality identification model, obtain the identification result, and feed it back to the virtual monitoring machine 14; wherein the identification result includes: equipment abnormal conditions, potential failures and alarm information; the equipment abnormality identification model is configured with an alarm threshold.

[0081] It is worth noting that the embodiment of the present invention integrates multiple virtual sensors 12 to achieve the integration of telemetry information, that is, real-time acquisition of virtual device status information, including monitoring data such as current, voltage, temperature and power, which can simulate the dynamic changes of the device under normal operation and failure conditions. The virtual sensor 12 is transmitted to the virtual monitoring machine 14 (displaying monitoring data) and the background database (storing monitoring data) through the virtualized network architecture to ensure real-time update and timely feedback of the data.

[0082] It is worth noting that the data stored in the backend database includes: real-time monitoring data of virtual devices, device operation records, alarm logs and fault records, etc., which can ensure the integrity and reliability of the data and facilitate subsequent query and analysis. The backend database also adopts an efficient data management mechanism to ensure that data integrity and storage efficiency can be maintained in the case of high-frequency and multi-device data collection.

[0083] The abnormality recognition unit can analyze the collected monitoring data, and through a preset equipment abnormality recognition model (such as one constructed by a preset intelligent algorithm or a threshold judgment method based on equipment performance), quickly identify abnormal conditions and potential failures of the equipment, generate alarm information, and promptly feed back the recognition results to the virtual monitoring machine 14 so that the operator can make a timely response, thereby improving the safety and operation efficiency of the system. Figure 4For example, when the current of a virtual device (virtual device model 11) exceeds the normal threshold range, the abnormality identification unit will immediately identify it as an overload condition and further analyze its possible cause of failure. Similarly, abnormal fluctuations in temperature or power data can also be identified and alarmed through intelligent algorithms.

[0084] After identifying an abnormal condition or potential fault, the data processing module 14 will promptly feed back the identification results, including abnormal conditions of the equipment, potential faults and alarm information, to the virtual monitoring machine 14. The operator (target user) can view these alarm information in real time through the virtual monitoring machine 14, including the current status of the equipment, the type of fault, possible causes, etc., so that they can respond quickly and take necessary operation or maintenance measures. Such a feedback mechanism greatly improves the security and operation efficiency of the system, ensuring that the equipment can be handled in a timely manner when problems occur, avoiding more serious consequences or system interruptions caused by faults.

[0085] In an optional embodiment, the virtual network architecture 13 includes: a data transmission unit and an instruction transmission unit; wherein the instruction transmission unit is configured with a virtual control protocol with an embedded response mechanism;

[0086] The data transmission unit is used to sort and transmit the virtual data; wherein the virtual data at least includes: the monitoring data and the identification result;

[0087] The instruction transmission unit is used to obtain the input instructions transmitted by the virtual monitoring machine 14 and forward them to the corresponding components inside the system.

[0088] It should be noted that, first, different types of virtual sensors 12, such as current sensors, voltage sensors and temperature sensors, are arranged at key positions of the virtual device model 11 to ensure that the monitoring data (status information) of the device can be obtained in real time. These virtual sensors 12 simulate the working mechanism of real sensors and can accurately capture the monitoring data of the virtual device model 11 under different loads or operating conditions. Then, the virtual sensor 12 processes the collected monitoring data through the virtualized network architecture and sends it to the background database and the virtual monitoring machine 14. Exemplarily, each virtual sensor 12 packages the collected monitoring data into data frames and transmits them to the data exchange node in the virtual network architecture 13; during the data transmission process, the virtual network architecture 13 sorts, transmits and routes the data frames to ensure that different data frames can be efficiently transmitted and avoid data conflicts or losses. Finally, these data frames (such as data frames representing monitoring data) are transmitted to the virtual monitoring machine 14 and the background database through the virtual network architecture 13, that is, the virtual monitoring machine 14 and the background database receive the monitoring data of various virtual sensors 12 from the network nodes of the virtual network architecture 13, and summarize and analyze them; wherein, the data receiving process includes data packet verification, reorganization and decoding.

[0089] In addition, during the entire data transmission process, the system also continuously synchronizes the monitoring data of the virtual sensor 12 to ensure that the monitoring data fed back by the virtual sensor 12 can be updated at the millisecond level to meet the requirements of real-time monitoring of the power system. This design ensures that all status information of the virtual device model 11 can be accurately and quickly transmitted to the virtual monitoring machine 14 and the background database, realizing all-round monitoring of the device status in the virtual environment.

[0090] It is worth noting that the virtual network architecture 13 can also transmit the input instructions transmitted by the virtual monitoring machine 14 to the corresponding components in the system through the instruction transmission unit. For example, for the control instructions input by the target user, the virtual network architecture 13 supports standard communication protocols and virtual control protocols, allowing users to perform control operations (such as start, stop, switch, etc.) on the virtual device model 11, and ensure the fast and accurate transmission of instructions through network protocols such as TCP / IP; Among them, the virtual control protocol has an embedded response mechanism to ensure that the virtual device model 11 immediately feedbacks the current execution status after receiving the instruction, so that the user can monitor the operation effect in real time.

[0091] In an optional embodiment, the input instruction includes: a control instruction and an adjustment instruction;

[0092] The control instruction is used to control the virtual device model 11;

[0093] The adjustment instruction is used at least to adjust the operating parameters of the virtual device model 11 , the alarm threshold in the data processing module 14 , and the network configuration in the virtual network architecture 13 .

[0094] It should be noted that the input instructions of the target user in the embodiment of the present invention mainly include: control instructions and adjustment instructions. The adjustment instructions are generated by the flexible configuration options provided by the system, that is, the target user can freely adjust the parameters of various components in the system according to actual needs, including at least: the operating parameters of the virtual device model 11, the alarm threshold in the data processing module 14, and the network configuration in the virtual network architecture 13, so as to adapt to different application scenarios and operation requirements.

[0095] Specifically, the operator can issue adjustment instructions through the virtual monitoring interface in the subsequent virtual monitoring machine 14 to conveniently adjust the parameters of various components in the system to adapt to different operating scenarios. For example, the operating parameters of the virtual device model 11 can be adjusted according to different loads or environmental conditions; the alarm threshold in the data processing module 14 can be flexibly set according to the working status of the device to ensure that the system maintains the best alarm sensitivity in actual operation; the network configuration in the virtual network architecture 13 can be dynamically adjusted as needed to support network environments of different sizes and the number of devices, ensuring that the entire monitoring system operates stably and efficiently.

[0096] In an optional embodiment, the virtual monitoring machine 14 includes: a monitoring receiving unit and an instruction issuing unit;

[0097] The monitoring receiving unit is used to receive the monitoring data and the identification result;

[0098] The instruction input unit is used to obtain the input instruction of the target user.

[0099] Furthermore, the virtual monitoring machine 14 further includes: a virtual monitoring interface;

[0100] The virtual monitoring interface is used to exchange information with the target user, display the monitoring data, and display the operating status of the virtual device model 11 through different identifiers according to the recognition result; and provide an input interface for the instruction input unit.

[0101] It should be noted that the intuitive virtual monitoring interface is developed using interface design tools (such as HTML5, JavaScript, etc.). The interface displays the real-time status of the equipment (i.e., displaying real-time monitoring data), alarm information (provided by the recognition results) and historical data through a hierarchical layout, so that operators can quickly obtain key information and make decisions, such as Figure 5In addition, real-time communication technologies such as WebSocket are integrated into the virtual network architecture 13 to ensure that the data in the virtual monitoring machine 14 is continuously updated. When the virtual device model 11 changes state or fails, the operator can obtain the latest information from the virtual monitoring machine 14 and respond in the first place, thereby improving the efficiency of operation and the security of the system.

[0102] Specifically, the virtual monitoring interface can display the real-time status, alarm information and historical data of the equipment according to priority through a hierarchical information layout. The operating status of the virtual device model 11 (such as current, voltage, temperature and other monitoring data) is prominently displayed on the interface, and the operator can quickly distinguish whether the equipment is in a normal state or an abnormal state through different colors or icons. The alarm information in the identification results is displayed in a prominent position. For example, when the virtual device model 11 fails or operates abnormally, an alarm prompt will pop up immediately in the virtual monitoring interface, indicating the specific location and cause of the alarm.

[0103] The virtual monitoring interface can also exchange information with the target user, such as providing a historical data query function. The operator can issue historical data retrieval instructions according to needs, so that the operation history of the virtual device model 11 can be viewed on the virtual monitoring interface, and the trend can be analyzed or previous alarm records can be retrieved, thereby providing sufficient data support for decision-making. In addition, the virtual network architecture 13 also integrates real-time communication technologies such as WebSocket, so that the data in the virtual monitoring interface and the virtual monitoring machine 14 can be continuously updated in real time, ensuring that the data in the virtual monitoring machine 14 is consistent with that in the virtual device model 11 every second. Regardless of whether the state of the virtual device model 11 fluctuates slightly or suddenly fails, the system can instantly transmit the latest state information (monitoring data) to the virtual monitoring interface / virtual monitoring machine 14 through WebSocket technology. The operator can obtain the latest state and alarm information of the virtual device model 11 in the first time without manually refreshing the interface, and can respond quickly, thereby significantly improving the efficiency of the operation and reducing response delays.

[0104] In addition, the virtual monitoring interface is also highly interactive, and operators can use it to perform necessary control operations (input of control instructions) or make system setting adjustments (input of adjustment instructions), such as confirming alarms, viewing detailed data analysis reports, or adjusting equipment operating parameters. The interactive design of the virtual monitoring interface makes monitoring more flexible and effective, ensuring the safety and efficient operation of the entire system.

[0105] In an optional embodiment, the system further includes: a user management module;

[0106] The user management module is used to assign different system access rights to users of different levels.

[0107] It should be noted that the user management module ensures the overall security and flexibility of the system. It supports multi-user login and permission management, and allocates system access rights to users of different levels through a hierarchical mechanism to ensure the system's operational security and data confidentiality.

[0108] Specifically, the user management module divides the levels and permissions according to the roles or responsibilities of different users, and the system administrator can set the scope of permissions (permission level) for each user. Through this hierarchical mechanism, it is ensured that key operations and data are only accessible and modifiable by authorized personnel, thereby ensuring the confidentiality of system data and the security of operations. For example, ordinary users can only view operating data, while advanced users have the authority to modify the parameters of the virtual device model 11 or manage alarm thresholds. Such hierarchical management effectively avoids the risk of unauthorized operations to system operation.

[0109] See also Figure 6 , is a flow chart of an embodiment of the virtual power station monitoring method provided by the present invention.

[0110] A second aspect of the present invention provides a virtual power station monitoring method, which is applied to the virtual power station monitoring system described in any of the above embodiments. The method includes steps S1 to S4, which are as follows:

[0111] Step S1: simulating the dynamic response of the real equipment under various working conditions through the virtual equipment model and generating corresponding monitoring data;

[0112] Step S2: collecting the monitoring data based on the virtual sensor, and transmitting the monitoring data to the data processing module and the virtual monitoring machine through the virtual network architecture; wherein the virtual network architecture is used to realize communication transmission;

[0113] Step S3: storing the monitoring data based on the data processing module, identifying abnormalities in the monitoring data, generating an identification result and feeding it back to the virtual monitoring machine;

[0114] Step S4: Based on the virtual monitoring machine receiving the monitoring data and the identification result and interacting with the target user, receiving the input instruction of the target user, and issuing the input instruction through the virtual network architecture.

[0115] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A virtual power station monitoring system, characterized in that: include: Virtual device models, virtual sensors, virtual network architectures, data processing modules, and virtual monitoring machines; The virtual device model is used to simulate the dynamic response of the real device under various working conditions and generate corresponding monitoring data; The virtual sensor is used to collect the monitoring data and transmit it to the data processing module and the virtual monitoring machine through the virtual network architecture; The virtual network architecture is used to implement communication transmission within the system; The data processing module is used to store the monitoring data, identify abnormalities in the monitoring data, generate identification results and feed them back to the virtual monitoring machine; The virtual monitoring machine is used to receive the monitoring data and the identification result, interact with the target user, receive the input instruction of the target user, and issue the input instruction through the virtual network architecture.

2. The virtual power station monitoring system according to claim 1, characterized in that: The system also includes: a virtualization simulation platform; The virtualization simulation platform is used to generate the virtual device model and the virtual network architecture.

3. The virtual power station monitoring system according to claim 2, characterized in that: The virtualization simulation platform includes: a network simulation unit, a device simulation unit and a simulation test unit; The network simulation unit is used to establish a virtual network connection within the virtual power station and configure a communication protocol to obtain the virtual network architecture; The device simulation unit is used to generate an initial virtual model according to the electrical structure, mechanical structure and material characteristics of the real device; and configure the initial virtual model according to the operating parameters of the real device to obtain the virtual device model that is a mirror image of the real device; The simulation test unit is used to perform simulation tests on the virtual device model under various working conditions, and adjust the dynamic response of the virtual device model according to the operating data of the real device, so that the operating performance of the virtual device model is consistent with that of the real device under various working conditions.

4. The virtual power station monitoring system according to claim 1, characterized in that: The data processing module includes: a background database and an abnormality identification unit; The backend database is used to receive and store the monitoring data of the virtual device model and the identification result of the abnormality identification unit to form device operation records, alarm logs and fault records; The abnormality identification unit is used to input the monitoring data into the equipment abnormality identification model, obtain the identification result, and feed it back to the virtual monitoring machine; wherein the identification result includes: equipment abnormal conditions, potential failures and alarm information; the equipment abnormality identification model is configured with an alarm threshold.

5. The virtual power station monitoring system according to claim 1, characterized in that: The virtual network architecture comprises: a data transmission unit and an instruction transmission unit; wherein the instruction transmission unit is configured with a virtual control protocol with an embedded response mechanism; The data transmission unit is used to sort and transmit the virtual data; wherein the virtual data at least includes: the monitoring data and the identification result; The instruction transmission unit is used to obtain the input instructions transmitted by the virtual monitoring machine and forward them to the corresponding components in the system.

6. The virtual power station monitoring system according to claim 5, characterized in that: The input instructions include: control instructions and adjustment instructions; The control instruction is used to control the virtual device model; The adjustment instruction is used at least to adjust the operating parameters of the virtual device model, the alarm threshold in the data processing module and the network configuration in the virtual network architecture.

7. The virtual power station monitoring system according to claim 1, characterized in that: The virtual monitoring machine includes: a monitoring receiving unit and an instruction issuing unit; The monitoring receiving unit is used to receive the monitoring data and the identification result; The instruction input unit is used to obtain the input instruction of the target user.

8. The virtual power station monitoring system according to claim 7, characterized in that: The virtual monitoring machine also includes: a virtual monitoring interface; The virtual monitoring interface is used to exchange information with the target user, display the monitoring data, and display the operating status of the virtual device model through different identifiers according to the recognition result; and provide an input interface for the instruction input unit.

9. The virtual power station monitoring system according to claim 1, characterized in that: The system further comprises: a user management module; The user management module is used to assign different system access rights to users of different levels.

10. A virtual power station monitoring method, characterized in that: include: The virtual equipment model is used to simulate the dynamic response of real equipment under various working conditions and generate corresponding monitoring data; The monitoring data is collected based on virtual sensors and transmitted to a data processing module and a virtual monitoring machine through a virtual network architecture; wherein the virtual network architecture is used to realize communication transmission; Based on the data processing module, the monitoring data is stored, and abnormality identification is performed on the monitoring data, and an identification result is generated and fed back to the virtual monitoring machine; Based on the virtual monitoring machine receiving the monitoring data and the identification result, and interacting with the target user, receiving the input instruction of the target user, and issuing the input instruction through the virtual network architecture.

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