Dynamic monitoring method and device based on simulation modeling, equipment, medium and product

Abstract

The invention relates to the technical field of computers, and discloses a dynamic monitoring method and device based on simulation modeling, equipment, a medium and a product, the method comprises the following steps: obtaining preset data of first equipment, the preset data comprising data for quantitatively describing the first equipment, and the preset data being used for constructing simulation modeling; according to preset data, a target model after simulation modeling is obtained, and the target model comprises a first device, a second device, a data acquisition device and a data transmission device; acquiring a monitoring signal of the first equipment based on the second equipment; inputting the monitoring signal of the first device into a data acquisition device of the target model for data signal conversion to obtain monitoring data; and transmitting the monitoring data to a main control center through a data transmission device for data preprocessing and data reprocessing to obtain a target state after the target model is dynamically monitored. According to the invention, three-dimensional visualization of the target model and real-time monitoring feedback of the target model can be realized, and manual dependence is reduced.

Description

Technical Field

[0001] The present disclosure relates to the field of computer technologies, and particularly to a dynamic monitoring method, apparatus, device, medium, and product based on simulation modeling. Background Art

[0002] As an important part of a nuclear power plant, the containment structure is one of the most important structures in a nuclear power plant. To ensure that the performance of the containment meets the design requirements during the in-service period of the nuclear power plant and can withstand accident conditions such as design pressure, it is necessary to ensure that the containment is in a healthy state.

[0003] Related technologies are limited by monitoring means and computer hardware, and mostly use regular inspections to evaluate the state of the containment. For example, a pressure test of the containment is carried out once every ten years. Data on the overall deformation, concrete strain, and prestress of prestressed steel tendons of the containment are collected and exported through the containment structure instrumentation system, and whether the containment is in a healthy state is evaluated through manual data analysis. The above methods have the following limitations: (1) Monitoring data cannot be visually and intuitively expressed. It is necessary to transfer the monitoring data to a third-party service agency for data analysis to give an evaluation result, resulting in high time and economic costs; (2) The state of the containment cannot be monitored and fed back in real time. Data monitoring cannot be carried out during the construction stage, and abnormal states occurring during the period between two inspections cannot be fed back in time; (3) It is overly dependent on manual work. After obtaining the monitoring data, it still strongly relies on technicians to calculate and analyze the data, and finally give an evaluation result.

[0004] Therefore, related technologies have problems in the monitoring of the containment state, such as the inability to visually and intuitively express monitoring data, the inability to monitor and feed back the state of the containment in real time, and over-reliance on manual work. Summary of the Invention

[0005] In view of this, the present disclosure provides a dynamic monitoring method, apparatus, device, medium, and product based on simulation modeling to solve the problems in related technologies in the monitoring of the containment state, such as the inability to visually and intuitively express monitoring data, the inability to monitor and feed back the state of the containment in real time, and over-reliance on manual work.

[0006] In a first aspect, the present disclosure provides a dynamic monitoring method based on simulation modeling, the method comprising:

[0007] Obtaining preset data of a first device, wherein the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model;

[0008] Obtaining a target model after simulation modeling according to the preset data, wherein the target model includes a first device, a second device, a data acquisition device, and a data transmission device;

[0009] Based on the second device, obtain the monitoring signal of the first device;

[0010] Input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data;

[0011] Transmit the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain the target state after dynamically monitoring the target model.

[0012] In the embodiments of the present disclosure, by obtaining the preset data of the first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model; according to the preset data, obtain the target model after simulation modeling, where the target model includes the first device, the second device, the data acquisition device, and the data transmission device; based on the second device, obtain the monitoring signal of the first device; input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data; transmit the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain the target state after dynamically monitoring the target model. Since the embodiments of the present disclosure perform simulation modeling according to the preset data to obtain the target model, realizing the three-dimensional visualization and intuitive expression of the target model, thereby saving time costs and economic costs; obtaining the monitoring signal of the first device based on the second device, converting the monitoring signal into monitoring data through the data acquisition device, and transmitting the monitoring data to the main control center through the data transmission device to realize the dynamic monitoring and real-time feedback of the target model; reducing the manual dependence in the monitoring process of the target model by using the main control center to perform data preprocessing and data reprocessing on the monitoring data.

[0013] In an alternative embodiment, transmitting the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain the target state after dynamically monitoring the target model includes:

[0014] Determine the state of the second device according to the monitoring data and the first preset rule, where the state of the second device is included in the target state;

[0015] When the state of the second device is the first preset state, send an alarm notification to the main control center;

[0016] When the state of the second device is the second preset state, input the first monitoring data and the second monitoring data into the analysis module.

[0017] In the embodiments of the present disclosure, by sending an alarm notification to the master control center when the second device state is in the first preset state, the dynamic monitoring of the second device state is realized. By inputting the first monitoring data and the second monitoring data into the analysis module when the second device state is in the second preset state, the abnormal data detected by the data preprocessing is eliminated, and the normal data is input into the analysis module.

[0018] In an alternative embodiment, the analysis module includes a data analysis module and a simulation analysis module. Inputting the first monitoring data and the second monitoring data into the analysis module includes:

[0019] Inputting the first monitoring data into the data analysis module;

[0020] Inputting the second monitoring data into the simulation analysis module.

[0021] In the embodiments of the present disclosure, by inputting the first monitoring data into the data analysis module and the second monitoring data into the simulation analysis module, the required monitoring data is provided for the data analysis module and the simulation analysis module for subsequent data processing respectively.

[0022] In an alternative embodiment, after inputting the first monitoring data and the second monitoring data into the analysis module, the method further includes:

[0023] After inputting the first monitoring data into the data analysis module, determining the first state of the first device according to the first monitoring data and the second preset rule;

[0024] After inputting the second monitoring data into the simulation analysis module, determining the second state of the first device according to the second monitoring data and the third preset rule.

[0025] In the embodiments of the present disclosure, by using the data analysis module to determine the first state of the first device according to the first monitoring data and the second preset rule, and using the simulation analysis module to determine the second state of the first device according to the second monitoring data and the third preset rule, the manual dependence in the monitoring process of the target model is reduced.

[0026] In an alternative embodiment, the method further includes:

[0027] Determining the first device state according to the first state of the first device and the second state of the first device, where the first device state is included in the target state;

[0028] Inputting the first device state into the security evaluation module.

[0029] In the embodiments of the present disclosure, by determining the first device state according to the first state of the first device and the second state of the first device, and inputting the first device state into the security evaluation module, the dynamic monitoring of the first device state is realized.

[0030] In an alternative embodiment, the method further includes:

[0031] After the security assessment module receives the first device state, a security assessment result is obtained according to the first device state;

[0032] The security assessment result is input into the security alarm module;

[0033] In the case where the security assessment result is a preset result, an alarm notification is sent to the main control center.

[0034] In the embodiments of the present disclosure, by using the security assessment module to obtain a security assessment result according to the first device state, and in the case where the security assessment result is a preset result, using the security alarm module to send an alarm notification to the main control center, real-time feedback of the first device state is achieved.

[0035] In a second aspect, the present disclosure provides a dynamic monitoring device based on simulation modeling, and the device includes:

[0036] A first acquisition module, configured to acquire preset data of a first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model;

[0037] A first obtaining module, configured to obtain a target model after simulation modeling according to the preset data, where the target model includes a first device, a second device, a data acquisition device, and a data transmission device;

[0038] A second acquisition module, configured to acquire a monitoring signal of the first device based on the second device;

[0039] A second obtaining module, configured to input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data;

[0040] A third obtaining module, configured to transmit the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamic monitoring of the target model.

[0041] In a third aspect, the present disclosure provides a computer device, including: a memory and a processor, which are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to execute the dynamic monitoring method based on simulation modeling according to the first aspect or any corresponding embodiment thereof.

[0042] Fourthly, the present disclosure provides a computer-readable storage medium, on which computer instructions are stored, and the computer instructions are used to cause a computer to execute the dynamic monitoring method based on simulation modeling according to the first aspect or any corresponding embodiment thereof described above.

[0043] Fifthly, the present disclosure provides a computer program product, including computer instructions, and the computer instructions are used to cause a computer to execute the dynamic monitoring method based on simulation modeling according to the first aspect or any corresponding embodiment thereof described above. Description of the Drawings

[0044] In order to more clearly illustrate the specific embodiments of the present disclosure or the technical solutions in the prior art, the following will briefly introduce the drawings required to be used in the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present disclosure. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0045] Figure 1 is a schematic flowchart of the dynamic monitoring method based on simulation modeling according to an embodiment of the present disclosure;

[0046] Figure 2 is a schematic diagram of a target model obtained by simulation modeling according to an embodiment of the present disclosure;

[0047] Figure 3 is a schematic flowchart of the dynamic monitoring method based on simulation modeling according to another embodiment of the present disclosure;

[0048] Figure 4 is a system architecture diagram of the dynamic monitoring method based on simulation modeling according to an embodiment of the present disclosure;

[0049] Figure 5 is a structural block diagram of the dynamic monitoring device based on simulation modeling according to an embodiment of the present disclosure;

[0050] Figure 6 is a schematic hardware structure diagram of a computer device according to an embodiment of the present disclosure. Detailed Embodiments

[0051] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present disclosure with reference to the drawings in the embodiments of the present disclosure. Obviously, the described embodiments are some, but not all, of the embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present disclosure.

[0052] As an important part of a nuclear power plant, the containment structure is one of the most important structures in a nuclear power plant. To ensure that the performance of the containment meets the design requirements during the in-service period of the nuclear power plant and can withstand accident conditions such as design pressure, it is necessary to ensure that the containment is in a healthy state.

[0053] Limited by monitoring means and computer hardware, related technologies mostly use regular inspections to evaluate the status of the containment. For example, the containment undergoes a pressure test every ten years. Data on the overall deformation, concrete strain, and prestress of prestressed steel tendons of the containment are collected and exported through the containment structure instrumentation system, and whether the containment is in a healthy state is evaluated through manual data analysis. However, the above methods have problems in the monitoring of the containment status, such as the inability to visually and vividly express monitoring data, the inability to monitor and feedback the containment status in real time, and over-reliance on manual work.

[0054] To solve the above problems, according to the embodiments of the present disclosure, an embodiment of a dynamic monitoring method based on simulation modeling is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0055] In this embodiment, a dynamic monitoring method based on simulation modeling is provided. As Figure 1 shown, Figure 1 is a schematic flowchart of the dynamic monitoring method based on simulation modeling according to the embodiments of the present disclosure. This process can be applied to a server and includes the following steps:

[0056] Step S101, obtain the preset data of the first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model.

[0057] Optionally, as Figure 2 shown, in the embodiments of the present disclosure, the first device is a containment (corresponding to Figure 2 label 1), and the preset data includes data for quantitatively describing the first device, such as the geometric data (height, diameter, etc.) and material data (building materials, performance parameters, etc.) of the containment.

[0058] Step S102, according to the preset data, obtain the target model after simulation modeling, where the target model includes the first device, the second device, the data acquisition device, and the data transmission device.

[0059] Optionally, as Figure 2 shown, in the embodiments of the present disclosure, the server (corresponding to Figure 2Label 7) in it obtains the target model after simulation modeling according to the preset data. Among them, the server includes a collection server, an application server, a storage server, and a computing server. The second device is a sensor, including four types: a containment fiber Bragg grating sensor (corresponding to Figure 2 Label 2) in it, a containment temperature and pressure sensor (corresponding to Figure 2 Label 3) in it, a containment strain sensor (corresponding to Figure 2 Label 4) in it, and a containment deformation sensor (corresponding to Figure 2 Label 5) in it. The data acquisition device includes three types: a collector, a demodulator, and a serial server, and the data transmission device includes two types: a switch and an industrial computer (the data acquisition device and the data transmission device correspond to Figure 2 Label 6) in it.

[0060] Specifically, the containment fiber Bragg grating sensor is used to monitor the prestress value of the prestressed steel strands of the containment along the length direction by using the change of the fiber Bragg grating wavelength. The containment temperature and pressure sensor is used to monitor the change of the temperature and pressure values inside the containment, and focuses on monitoring the scenarios under accident conditions of the containment. The containment strain sensor is used to monitor the concrete strain, the steel bar strain, and the steel lining strain. The containment deformation sensor is used to monitor the full-field displacement of the containment.

[0061] It should be noted that the target model can be obtained through simulation modeling by using REVIT or other BIM model modeling software, and the target model can be imported into the UNITY3D software development platform to complete the development of functions such as model roaming, model sectioning, model rotation, and model movement.

[0062] Step S103, based on the second device, obtain the monitoring signal of the first device.

[0063] Optionally, as Figure 2 shown, in the embodiment of the present disclosure, the server obtains the monitoring signal of the containment based on the sensor. Among them, the monitoring signal includes four types: a containment fiber Bragg grating signal, a containment temperature and pressure signal, a containment strain signal, and a containment deformation signal.

[0064] Specifically, the server obtains the containment fiber Bragg grating signal based on the containment fiber Bragg grating sensor, and the containment fiber Bragg grating signal is an optical signal; obtains the containment temperature and pressure signal based on the containment temperature and pressure sensor, and the containment temperature and pressure signal is an electrical signal; obtains the containment strain signal based on the containment strain sensor, and the containment strain signal is an electrical signal; obtains the containment deformation signal based on the containment deformation sensor, and the containment deformation signal is a mechanical signal.

[0065] Step S104: Input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data.

[0066] Optionally, as Figure 2 shown, in the embodiments of the present disclosure, the server inputs four monitoring signals of the containment into the corresponding data acquisition devices for data signal conversion to obtain monitoring data. Among them, the monitoring data includes four categories: containment fiber Bragg grating data, containment temperature and pressure data, containment strain data, and containment deformation data.

[0067] Specifically, the server inputs the containment fiber Bragg grating signal into a demodulator to obtain containment fiber Bragg grating data; inputs the containment temperature and pressure signal into a serial server to obtain containment temperature and pressure data; inputs the containment strain signal into a collector to obtain containment strain data; and inputs the containment deformation signal into a collector to obtain containment deformation data.

[0068] Step S105: Transmit the monitoring data to the main control center through a data transmission device for data preprocessing and data reprocessing to obtain the target state after dynamically monitoring the target model.

[0069] Optionally, as Figure 2 shown, in the embodiments of the present disclosure, the server transmits the four types of monitoring data to the main control center through the corresponding data transmission devices respectively, and the main control center performs data preprocessing and data reprocessing on the monitoring data to obtain the target state after dynamically monitoring the target model.

[0070] Specifically, the server transmits the containment fiber Bragg grating signal, the containment temperature and pressure signal, and the containment strain signal to the main control center through a switch, and transmits the containment deformation signal to the main control center through a switch and an industrial computer.

[0071] In the embodiments of the present disclosure, by obtaining preset data of a first device, where the preset data includes data for quantitatively describing the first device and is used to construct a simulation model; according to the preset data, a target model after simulation modeling is obtained, where the target model includes the first device, the second device, a data acquisition device, and a data transmission device; based on the second device, a monitoring signal of the first device is obtained; the monitoring signal of the first device is input into the data acquisition device of the target model for data signal conversion to obtain monitoring data; the monitoring data is transmitted to a main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model. Since the embodiments of the present disclosure perform simulation modeling according to the preset data to obtain the target model, realizing three-dimensional visualization and intuitive expression of the target model, thereby saving time costs and economic costs; based on the second device, the monitoring signal of the first device is obtained, the monitoring signal is converted into monitoring data through the data acquisition device, and the monitoring data is transmitted to the main control center through the data transmission device to realize dynamic monitoring and real-time feedback of the target model; by using the main control center to perform data preprocessing and data reprocessing on the monitoring data, the manual dependence in the monitoring process of the target model is reduced.

[0072] In some alternative embodiments, transmitting the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain the target state after dynamically monitoring the target model includes:

[0073] Determining a second device state according to the monitoring data and a first preset rule, where the second device state is included in the target state;

[0074] When the second device state is a first preset state, sending an alarm notification to the main control center;

[0075] When the second device state is a second preset state, inputting first monitoring data and second monitoring data into an analysis module.

[0076] Optionally, in the embodiments of the present disclosure, the first preset rule refers to the law of abnormal monitoring data acquisition, such as empty acquired data, no data fluctuation for a long time, and data jump points. The second device state is the sensor state and is included in the target state. The first preset state is the sensor abnormal state, and the second preset state is the sensor normal state. The first monitoring data includes containment fiber grating data, containment temperature and pressure data, containment strain data, and containment deformation data, and the second monitoring data includes containment temperature and pressure data.

[0077] Specifically, when the monitoring data conforms to the first preset rule, the second device status is the first preset status, that is, the sensor status is the sensor abnormal status, and the server sends an alarm notification to the main control center; when the monitoring data does not conform to the first preset rule, the second device status is the second preset status, that is, the sensor status is the sensor normal status, and the server inputs the first monitoring data and the second monitoring data into the analysis module, that is, eliminates the abnormal data detected by the data preprocessing, and inputs the normal data into the analysis module.

[0078] In the embodiment of the present disclosure, by sending an alarm notification to the main control center when the second device status is the first preset status, the dynamic monitoring of the second device status is realized. By inputting the first monitoring data and the second monitoring data into the analysis module when the second device status is the second preset status, the abnormal data detected by the data preprocessing is eliminated, and the normal data is input into the analysis module.

[0079] In some optional embodiments, the analysis module includes a data analysis module and a simulation analysis module. Inputting the first monitoring data and the second monitoring data into the analysis module includes:

[0080] Inputting the first monitoring data into the data analysis module;

[0081] Inputting the second monitoring data into the simulation analysis module.

[0082] Optionally, in the embodiment of the present disclosure, the server inputs the first monitoring data into the data analysis module and inputs the second monitoring data into the simulation analysis module. Among them, the analysis module for data reprocessing includes a data analysis module and a simulation analysis module.

[0083] In the embodiment of the present disclosure, by inputting the first monitoring data into the data analysis module and inputting the second monitoring data into the simulation analysis module, the required monitoring data is provided for the data analysis module and the simulation analysis module for subsequent data processing respectively.

[0084] In some optional embodiments, after inputting the first monitoring data and the second monitoring data into the analysis module, the method further includes:

[0085] After inputting the first monitoring data into the data analysis module, determining the first state of the first device according to the first monitoring data and the second preset rule;

[0086] After inputting the second monitoring data into the simulation analysis module, determining the second state of the first device according to the second monitoring data and the third preset rule.

[0087] Optionally, in the embodiments of the present disclosure, the data analysis module includes data curve analysis and data correlation analysis. Among them, the data curve analysis analyzes the first monitoring data by plotting the first monitoring data into a curve, and the data correlation analysis is used to analyze the correlation between the first monitoring data. The simulation analysis module includes thermal-mechanical coupling pre-simulation analysis and real-time elastic simulation analysis. Among them, the thermal-mechanical coupling pre-simulation analysis calculates the ABAQUS finite element model of each stage through the second monitoring data and displays it in the form of a three-dimensional stress nephogram and a time history chart. The real-time elastic simulation analysis calculates the second monitoring data and quickly obtains the simulation result of the containment at the current moment.

[0088] It should be noted that the first device state includes the first state of the first device and the second state of the first device. Among them, the first state of the first device refers to the containment state obtained by data analysis, and the second state of the first device refers to the containment state obtained by simulation analysis. The second preset rule refers to the normal data rules of the data analysis module, including data curve rules and data correlation rules. The third preset rule refers to the normal simulation rules of the simulation analysis module, including thermal-mechanical coupling pre-simulation rules and real-time elastic simulation rules.

[0089] Specifically, the server uses the data analysis module to determine the first state of the first device, that is, the containment state obtained by data analysis, according to the first monitoring data and the second preset rule; uses the simulation analysis module to determine the second state of the first device, that is, the containment state obtained by simulation analysis, according to the second monitoring data and the third preset rule.

[0090] In the embodiments of the present disclosure, by using the data analysis module to determine the first state of the first device according to the first monitoring data and the second preset rule, and using the simulation analysis module to determine the second state of the first device according to the second monitoring data and the third preset rule, the manual dependence in the monitoring process of the target model is reduced.

[0091] In some alternative embodiments, the method further includes:

[0092] Determine the first device state according to the first state of the first device and the second state of the first device, where the first device state is included in the target state;

[0093] Input the first device state into the safety assessment module.

[0094] Optionally, in the embodiments of the present disclosure, the first device state is the containment state and is included in the target state.

[0095] Specifically, the server determines the state of the first device, i.e., the containment state, based on the first state and the second state of the first device, and then inputs the containment state into the safety assessment module. Among them, when either the first state or the second state of the first device is an abnormal state, the state of the first device is an abnormal state; when both the first state and the second state of the first device are normal states, the state of the first device is a normal state.

[0096] In the embodiments of the present disclosure, by determining the state of the first device based on the first state and the second state of the first device and inputting the state of the first device into the safety assessment module, dynamic monitoring of the state of the first device is achieved.

[0097] In some alternative embodiments, the method further includes:

[0098] After the safety assessment module receives the state of the first device, a safety assessment result is obtained based on the state of the first device;

[0099] The safety assessment result is input into the safety alarm module;

[0100] In the case where the safety assessment result is a preset result, an alarm notification is sent to the main control center.

[0101] Optionally, in the embodiments of the present disclosure, the safety assessment result is used to characterize whether the containment is in a healthy state, and the preset result refers to an abnormal state of the containment state.

[0102] It should be noted that when the state of the first device is an abnormal state, the safety assessment result is a preset result; when the state of the first device is a normal state, the safety assessment result is not a preset result.

[0103] Specifically, the server uses the safety assessment module to obtain a safety assessment result based on the state of the first device, i.e., whether the containment is in a healthy state, and then inputs the safety assessment result into the safety alarm module. In the case where the safety assessment result is a preset result, i.e., the case where the containment state is abnormal, an alarm notification is sent to the main control center; in the case where the safety assessment result is not a preset result, i.e., the case where the containment state is normal, no alarm notification is sent to the main control center.

[0104] In the embodiments of the present disclosure, by using the safety assessment module to obtain a safety assessment result based on the state of the first device and using the safety alarm module to send an alarm notification to the main control center in the case where the safety assessment result is a preset result, real-time feedback of the state of the first device is achieved.

[0105] In some alternative embodiments, as Figure 3 shown, Figure 3It is a schematic flowchart of another dynamic monitoring method based on simulation modeling according to an embodiment of the present disclosure. First, the server obtains preset data of the first device, obtains a target model through simulation modeling based on the preset data, obtains monitoring signals of the first device based on the second device, obtains monitoring data through a data acquisition device, and transmits the monitoring data to the main control center through a data transmission device. Then, in the data preprocessing stage, the server determines whether the monitoring data conforms to the first preset rule through the main control center. When the monitoring data conforms to the first preset rule, the state of the second device is the first preset state, and an alarm notification is sent to the main control center; when the monitoring data does not conform to the first preset rule, the state of the second device is the second preset state, and the monitoring data is input into the analysis module. Next, in the data reprocessing stage, the server inputs the first monitoring data into the data analysis module, determines the first state of the first device according to the first monitoring data and the second preset rule; inputs the second monitoring data into the simulation analysis module, determines the second state of the first device according to the second monitoring data and the third preset rule, determines the state of the first device according to the first state and the second state of the first device, and inputs the state of the first device into the security evaluation module. Then, in the security evaluation stage, the server obtains a security evaluation result according to the state of the first device and inputs the security evaluation result into the security alarm module. Finally, in the security alarm module, the server determines whether the security evaluation result is a preset result. When the security evaluation result is a preset result, an alarm notification is sent to the main control center; when the security evaluation result is not a preset result, no alarm notification is sent to the main control center.

[0106] In some alternative embodiments, such as Figure 4 shown, Figure 4It is a system architecture diagram of a dynamic monitoring method based on simulation modeling according to an embodiment of the present disclosure. The basic layer includes monitoring hardware and a server. The monitoring hardware includes sensors, collectors, demodulators, serial port servers, switches, and industrial computers. The server includes a collection server, an application server, a data server, and a computing server. Among them, the collection server is mainly responsible for collecting and processing monitoring signals. The application server is mainly used for the deployment and access of the monitoring system. The data server is mainly used for data storage of the monitoring system. The computing server mainly supports the simulation analysis function of the monitoring system. The data processing layer includes data acquisition signal conversion, data transmission, data storage, data preprocessing, and data anomaly determination. The function layer includes a 3D model module, a data analysis module, a simulation analysis module, a security assessment module, and an early warning and alarm module. Among them, the 3D model module includes model roaming, model sectioning, model rotation, and model movement. The data analysis module includes data curve analysis, data correlation analysis, and data export. Among them, data export can export data files in.csv and.txt formats for data analysis. The simulation analysis module includes thermal-mechanical coupling pre-simulation analysis, real-time elastic simulation analysis, and data feedback. The security assessment module includes a security assessment algorithm, security assessment calculation, and security assessment display. The early warning and alarm module includes early warning threshold setting, alarm record, and alarm handling. The interaction layer includes a monitoring user interface and a management module. Among them, the monitoring user interface includes 3D visualization roaming, real-time viewing of monitoring data, real-time data processing, real-time viewing of the containment status, early warning pop-up windows, and early warning handling. The management module includes user permission management and project document management. Among them, project document management is mainly used to store files and materials related to the project implementation process, including: picture materials, Word files, and video files.

[0107] In this embodiment, a dynamic monitoring device based on simulation modeling is also provided. This device is used to implement the above-mentioned embodiments and preferred implementation manners, and those that have been described will not be repeated. As used hereinafter, the term "module" can be a combination of software and / or hardware that can achieve a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and contemplated.

[0108] This embodiment provides a dynamic monitoring device based on simulation modeling, as Figure 5 shown, including:

[0109] A first acquisition module 501, configured to acquire preset data of a first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model;

[0110] The first obtaining module 502 is configured to obtain a target model after simulation modeling according to preset data, where the target model includes a first device, a second device, a data acquisition device, and a data transmission device;

[0111] The second obtaining module 503 is configured to obtain a monitoring signal of the first device based on the second device;

[0112] The second obtaining module 504 is configured to input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data;

[0113] The third obtaining module 505 is configured to transmit the monitoring data to a main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model.

[0114] In an embodiment of the present disclosure, by obtaining preset data of a first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model; according to the preset data, a target model after simulation modeling is obtained, where the target model includes a first device, a second device, a data acquisition device, and a data transmission device; based on the second device, a monitoring signal of the first device is obtained; the monitoring signal of the first device is input into the data acquisition device of the target model for data signal conversion to obtain monitoring data; the monitoring data is transmitted to a main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model. Since the embodiment of the present disclosure performs simulation modeling according to preset data to obtain a target model, realizing three-dimensional visualization and intuitive expression of the target model, thereby saving time costs and economic costs; obtaining a monitoring signal of the first device based on the second device, converting the monitoring signal into monitoring data through the data acquisition device, and transmitting the monitoring data to the main control center through the data transmission device to realize dynamic monitoring and real-time feedback of the target model; by using the main control center to perform data preprocessing and data reprocessing on the monitoring data, reducing the manual dependence in the monitoring process of the target model.

[0115] In some optional embodiments, the third obtaining module 505 includes:

[0116] The first determining unit is configured to determine a second device state according to the monitoring data and a first preset rule, where the second device state is included in the target state;

[0117] The first sending unit is configured to send an alarm notification to the main control center when the second device state is a first preset state;

[0118] The first input unit is configured to input first monitoring data and second monitoring data into an analysis module when the second device state is a second preset state.

[0119] In some alternative embodiments, the first input unit includes:

[0120] A first input sub-module for inputting first monitoring data into a data analysis module;

[0121] A second input sub-module for inputting second monitoring data into a simulation analysis module.

[0122] In some alternative embodiments, the device further includes:

[0123] A first determination module for determining a first state of a first device according to the first monitoring data and a second preset rule after inputting the first monitoring data into the data analysis module;

[0124] A second determination module for determining a second state of the first device according to the second monitoring data and a third preset rule after inputting the second monitoring data into the simulation analysis module.

[0125] In some alternative embodiments, the first determination module and the second determination module include:

[0126] A second determination unit for determining a first device state according to the first state of the first device and the second state of the first device, wherein the first device state is included in a target state;

[0127] A second input unit for inputting the first device state into a safety assessment module.

[0128] In some alternative embodiments, the second determination unit and the second input unit include:

[0129] A first obtaining sub-module for obtaining a safety assessment result according to the first device state after the safety assessment module receives the first device state;

[0130] A third input sub-module for inputting the safety assessment result into a safety alarm module;

[0131] A first sending sub-module for sending an alarm notification to a main control center when the safety assessment result is a preset result.

[0132] The further function descriptions of the above-mentioned respective modules and units are the same as those in the corresponding above embodiments, and will not be elaborated herein.

[0133] The dynamic monitoring device based on simulation modeling in this embodiment is presented in the form of functional units. Here, the unit refers to an ASIC (Application Specific Integrated Circuit) circuit, a processor and a memory that execute one or more software or fixed programs, and / or other devices that can provide the above functions.

[0134] This embodiment of the present disclosure also provides a computer device having the above-mentioned Figure 5 dynamic monitoring device based on simulation modeling shown.

[0135] Please refer to Figure 6 , Figure 6 which is a schematic structural diagram of a computer device provided by an alternative embodiment of the present disclosure. As shown in Figure 6 , the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting various components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or installed in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (such as an array of servers, a set of blade servers, or a multi-processor system). Figure 6 In

[0136] FIG. 14, one processor 10 is taken as an example.

[0137] The memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiment.

[0138] The memory 20 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device and the like. In addition, the memory 20 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 may optionally include a memory remotely disposed relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above-mentioned network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0139] The memory 20 may include volatile memory, for example, random access memory; the memory may also include non-volatile memory, for example, flash memory, a hard disk, or a solid-state drive; the memory 20 may further include a combination of the above types of memory.

[0140] The computer device further includes a communication interface 30 for the computer device to communicate with other devices or a communication network.

[0141] The embodiments of the present disclosure also provide a computer-readable storage medium. The methods according to the embodiments of the present disclosure can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented as computer code originally stored in a remote storage medium or a non-transitory machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the methods described herein can be stored in such software processes on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium may also include a combination of the above types of memory. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code, and when the software or computer code is accessed and executed by the computer, the processor, or the hardware, the methods shown in the above embodiments are implemented.

[0142] A part of the present disclosure can be applied as a computer program product, for example, computer program instructions, which, when executed by a computer, can call or provide the methods and / or technical solutions according to the present disclosure through the operations of the computer. Those skilled in the art should understand that the forms in which computer program instructions exist in a computer-readable medium include but are not limited to source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0143] Although the embodiments of the present disclosure have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present disclosure, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A dynamic monitoring method based on simulation modeling, characterized in that The method includes: Obtaining preset data of a first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model; Obtaining a target model after simulation modeling according to the preset data, where the target model includes the first device, a second device, a data acquisition device, and a data transmission device; Obtaining a monitoring signal of the first device based on the second device; Inputting the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data; Transmitting the monitoring data to a main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model.

2. The method according to claim 1, wherein The step of transmitting the monitoring data to the main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model includes: Determining a state of the second device according to the monitoring data and a first preset rule, where the state of the second device is included in the target state; Sending an alarm notification to the main control center when the state of the second device is a first preset state; Inputting first monitoring data and second monitoring data into an analysis module when the state of the second device is a second preset state.

3. The method according to claim 2, wherein The analysis module includes a data analysis module and a simulation analysis module. The step of inputting the first monitoring data and the second monitoring data into the analysis module includes: Inputting the first monitoring data into the data analysis module; Inputting the second monitoring data into the simulation analysis module.

4. The method according to claim 3, characterized in that After inputting the first monitoring data and the second monitoring data into the analysis module, the method further includes: After inputting the first monitoring data into the data analysis module, determining a first state of the first device according to the first monitoring data and a second preset rule; After inputting the second monitoring data into the simulation analysis module, determining a second state of the first device according to the second monitoring data and a third preset rule.

5. The method according to claim 4, wherein The method further includes: Determining a state of the first device according to the first state and the second state of the first device, where the state of the first device is included in the target state; Inputting the state of the first device into a safety assessment module.

6. The method according to claim 5, wherein The method further includes: After the safety assessment module receives the state of the first device, obtaining a safety assessment result according to the state of the first device; Inputting the safety assessment result into a safety alarm module; Sending the alarm notification to the main control center when the safety assessment result is a preset result.

7. A dynamic monitoring device based on simulation modeling, characterized in that, The device includes: A first acquisition module, configured to obtain preset data of a first device, where the preset data includes data for quantitatively describing the first device, and the preset data is used to construct a simulation model; A first obtaining module, configured to obtain a target model after simulation modeling according to the preset data, where the target model includes the first device, a second device, a data acquisition device, and a data transmission device; A second acquisition module, configured to acquire a monitoring signal of the first device based on the second device; A second obtaining module, configured to input the monitoring signal of the first device into the data acquisition device of the target model for data signal conversion to obtain monitoring data; A third obtaining module, configured to transmit the monitoring data to a main control center through the data transmission device for data preprocessing and data reprocessing to obtain a target state after dynamically monitoring the target model.

8. A computer device, characterized in that, Comprising: A memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the dynamic monitoring method based on simulation modeling according to any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, Computer instructions are stored on the computer-readable storage medium, and the computer instructions are used to cause a computer to execute the dynamic monitoring method based on simulation modeling according to any one of claims 1 to 6.

10. A computer program product, characterized in that, Comprising computer instructions, and the computer instructions are used to cause a computer to execute the dynamic monitoring method based on simulation modeling according to any one of claims 1 to 6.

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