Monitoring-based power plant dust remover structure safety degree evaluation method and device
By conducting real-time load and stress monitoring of key structural components of power plant dust collectors, calculating stress response capabilities and judging health status, the problem of reduced safety in long-term operation is solved, and accurate early warning and stable operation are achieved.
Patent Information
- Application Number
- CN202411634706.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-15
- Publication Date
- 2025-03-07
- Estimated Expiration
- 2044-11-15
AI Technical Summary
Equipment such as dust collectors and ash buckets in power plants face structural deformation, potential collapse risks, corrosion and material fatigue during long-term operation, resulting in reduced safety. Frequent collapse accidents pose a threat to equipment operation and personnel safety.
By real-time monitoring of the load changes and stress changes of columns, side and corner columns in the dust collector, the stress response capabilities of each key structural component are calculated, and the health status of the dust collector is determined layer by layer. When the health warning value is lower than the preset health threshold, the system will issue a warning in a timely manner.
It realizes accurate early warning and real-time monitoring of dust collectors in the power plant, significantly improving the safety and operation efficiency of equipment, effectively ensuring the stable operation of the power plant and the safety of personnel.
Smart Images

Figure CN119574161A_ABST
Abstract
Description
Technical Field
[0001] The invention relates to the field of steel structure safety monitoring and assessment, and in particular to a monitoring-based method and device for assessing the structural safety of a power plant dust collector. Background Art
[0002] During long-term operation, equipment such as electrostatic precipitators and ash hoppers in power plants face multiple challenges, which lead to the gradual deterioration of structural health. First, as the load on the precipitator increases, the stress on the equipment gradually increases, which may exceed its design load-bearing capacity, causing structural deformation and potential collapse risks. Secondly, the equipment is affected by corrosion and natural aging during operation, which will accelerate material fatigue and further reduce the safety of the structure. In addition, the equipment manufacturer may have problems with substandard quality during the supply process, making it difficult for the installed equipment to meet actual operating requirements.
[0003] In daily operations, inadequate inspection and maintenance, and omissions in operation inspections can also lead to potential problems that are not discovered and handled in a timely manner. These factors together have led to frequent collapse accidents, which not only affect the normal operation of the unit, but also pose a threat to the safety of equipment operators, resulting in personal injury incidents. More seriously, the economic losses caused by these accidents have had a profound impact on the development of society and enterprises.
[0004] Therefore, it is particularly important to monitor and evaluate the structural health of equipment such as electrostatic precipitators and ash hoppers. By establishing an effective health calculation model and combining parameters such as load changes, stress analysis, and material aging, we can dynamically evaluate the health status of the equipment. This evaluation does not only rely on static maintenance records, but also timely discovers potential hidden dangers through real-time monitoring and data analysis, thereby improving the safety of the equipment. For example, real-time monitoring of load changes can help us understand the load-bearing capacity of the equipment under different operating conditions, while stress analysis can reveal the fatigue of the material during operation. Monitoring the degree of material aging provides us with a prediction of the life of the equipment and ensures that maintenance measures are taken in a timely manner. Through these comprehensive evaluations, scientific maintenance plans can be formulated to reduce the risk of accidents, ensure the stable operation of the power plant and the safety of personnel. At the same time, a good monitoring and evaluation system can also provide reliable data support for the long-term development of the power plant, promote the intelligent and refined management of equipment, and ultimately achieve the optimal allocation of resources and the improvement of economic benefits. Summary of the invention
[0005] In a first aspect of the present disclosure, a method for evaluating the structural safety of a power plant dust collector based on monitoring is provided, comprising the following steps:
[0006] The stress response capacity of the dust collector column is calculated by the load change and stress change of the dust collector column, and the health warning value of the dust collector column is calculated according to the stress response capacity. If the health warning value of the dust collector column is lower than the preset health threshold, it is determined that the dust collector is in an unhealthy state.
[0007] If the health warning value of the dust collector center column is not lower than its preset health threshold, the stress response capacity of the dust collector side center column is calculated by the load change and stress change of the dust collector side center column, and the health warning value of the dust collector side center column is calculated according to the stress response capacity of the dust collector side center column. If the health warning value of the dust collector side center column is lower than its preset health threshold, it is determined that the dust collector is in an unhealthy state;
[0008] If the health warning value of the side center column of the dust collector is not lower than its preset health threshold, the stress response capacity of the dust collector corner column is calculated by the load change and stress change of the dust collector corner column, and the health warning value of the dust collector corner column is calculated according to the stress response capacity of the dust collector corner column. If the health warning value of the dust collector corner column is lower than its preset health threshold, the dust collector is determined to be in an unhealthy state; otherwise, the dust collector is determined to be in a healthy state.
[0009] In combination with the first aspect, the stress response capacity of the dust collector column is calculated by the load change and stress change of the dust collector column, including the following formula:
[0010]
[0011] Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
[0012] In combination with the first aspect, the stress response capacity of the dust collector side column is calculated by the load change and stress change of the dust collector side column, including the following formula:
[0013]
[0014] Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
[0015] In combination with the first aspect, the stress response capacity of the dust collector corner column is calculated by the load change and stress change of the dust collector corner column, including the following formula:
[0016]
[0017] Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
[0018] A second aspect of the present disclosure provides a monitoring-based power plant dust collector structure safety assessment device, comprising:
[0019] A first calculation module is used to calculate the stress response capacity of the dust collector column through the load change and stress change of the dust collector column, and calculate the health warning value of the dust collector column according to the stress response capacity;
[0020] A first determination module, configured to determine that the dust collector is in an unhealthy state if the health warning value of the dust collector column is lower than a preset health threshold value;
[0021] A second calculation module is used to calculate the stress response capacity of the dust collector side middle column by the load change and stress change of the dust collector side middle column if the health warning value of the dust collector side middle column is not lower than its preset health threshold, and calculate the health warning value of the dust collector side middle column according to the stress response capacity of the dust collector side middle column;
[0022] A second determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the side center column of the dust collector is lower than its preset health threshold;
[0023] A third calculation module is used to calculate the stress response capacity of the dust collector corner column by the load change and stress change of the dust collector corner column if the health warning value of the dust collector side center column is not lower than its preset health threshold, and calculate the health warning value of the dust collector corner column according to the stress response capacity of the dust collector corner column;
[0024] The third determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the dust collector corner column is lower than its preset health threshold, otherwise determine that the dust collector is in a healthy state.
[0025] In conjunction with the second aspect, the first calculation module specifically calculates the stress response capability using the following formula:
[0026]
[0027] Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
[0028] In conjunction with the second aspect, the second calculation module specifically calculates the stress response capability using the following formula:
[0029]
[0030] Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
[0031] In combination with the second aspect, the third calculation module specifically calculates the stress response capability through the following formula:
[0032]
[0033] Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
[0034] According to a third aspect of the present disclosure, an electronic device is provided, including:
[0035] one or more processors;
[0036] A storage unit is used to store one or more programs, which, when executed by the one or more processors, can enable the one or more processors to implement any of the above-mentioned power plant dust collector structure safety assessment methods based on monitoring.
[0037] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, any of the above-mentioned methods for evaluating the structural safety of a power plant dust collector based on monitoring can be implemented.
[0038] Beneficial effects: The monitoring-based power plant dust collector structural safety assessment method and device of the present invention performs real-time monitoring of the load changes and stress changes of the center column, side center column and corner column of the dust collector, calculates the stress response capability of each key structural component, and thus determines the health status of the dust collector layer by layer. When the health warning value is lower than the preset health threshold, the system will issue a warning in time to help identify structural abnormalities and facilitate maintenance personnel to make accurate decisions. This method realizes accurate early warning and real-time monitoring of power plant dust collectors, significantly improves the safety and operating efficiency of the equipment, and effectively ensures the stable operation of the power plant. BRIEF DESCRIPTION OF THE DRAWINGS
[0039] Figure 1 It is a flow chart of a method for evaluating the structural safety of a power plant dust collector based on monitoring according to an embodiment of the present disclosure;
[0040] Figure 2 It is a schematic diagram of the structure of an electronic device according to an embodiment of the present disclosure. DETAILED DESCRIPTION
[0041] Here, exemplary embodiments are described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the embodiments of the present disclosure.
[0042] The terms used in the disclosed embodiments are only for the purpose of describing specific embodiments and are not intended to limit the disclosed embodiments. The singular forms of "a", "said" and "the" used in the disclosed embodiments and the appended claims are also intended to include plural forms unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.
[0043] like Figure 1 FIG. 1 is a flow chart of a method for evaluating the structural safety of a power plant dust collector based on monitoring according to an embodiment of the present disclosure, comprising:
[0044] S101: Calculate the stress response capacity of the dust collector column by the load change and stress change of the dust collector column, and calculate the health warning value of the dust collector column according to the stress response capacity. If the health warning value of the dust collector column is lower than the preset health threshold, it is determined that the dust collector is in an unhealthy state.
[0045] S102: If the health warning value of the dust collector center column is not lower than its preset health threshold, the stress response capacity of the dust collector side center column is calculated by the load change and stress change of the dust collector side center column, and the health warning value of the dust collector side center column is calculated according to the stress response capacity of the dust collector side center column. If the health warning value of the dust collector side center column is lower than its preset health threshold, it is determined that the dust collector is in an unhealthy state.
[0046] S103: If the health warning value of the side center column of the dust collector is not lower than its preset health threshold, the stress response capacity of the dust collector corner column is calculated by the load change and stress change of the dust collector corner column, and the health warning value of the dust collector corner column is calculated according to the stress response capacity of the dust collector corner column. If the health warning value of the dust collector corner column is lower than its preset health threshold, the dust collector is determined to be in an unhealthy state, otherwise, the dust collector is determined to be in a healthy state.
[0047] Specifically, step S101: first check the center column. As the core supporting component of the dust collector, the center column bears the main load. Step S102: If the center column is healthy, then check the side center columns. The side center columns support the center column and bear the secondary load to enhance the overall structural stability of the dust collector. Step S103: If the side center columns are healthy, then check the corner columns. The corner columns are the outermost supporting structures. Their health status directly affects the stability and safety of the entire dust collector.
[0048] Calculation of load change and stress response capacity: The system first monitors the load change and stress change of the center column, and calculates the stress response capacity of the center column using a predetermined mathematical formula. This capacity reflects the responsiveness and bearing capacity of the center column when it is affected by external loads and environmental factors.
[0049] Setting of health warning value: Based on the stress response capacity of the middle column, the system calculates the health warning value of the middle column, which reflects the structural safety status of the middle column. If the health warning value is lower than the health threshold set by the system (set according to operating experience and design limits), it indicates that the middle column is in a dangerous or critical state.
[0050] Judgment result: If the health warning value of the middle column is lower than the threshold, the system will determine that the dust collector is "unhealthy" and needs to be repaired or replaced immediately. If the middle column is healthy, continue to test the side middle column.
[0051] Monitoring and calculation of side and center columns: If the center column is healthy, the system will further monitor the load and stress changes of the side and center columns and calculate their stress response capabilities. This detection step is mainly to verify whether the side and center columns can remain robust in long-term operation.
[0052] Calculation of health warning value of side and middle columns: Similar to the middle column, the health warning value of the side and middle columns is calculated based on their stress response capacity. This health warning value reflects the current load bearing and safety status of the side and middle columns.
[0053] Judgment result: If the health warning value of the side column is lower than its health threshold, the dust collector is judged to be in an unhealthy state. If the health warning value of the side column is above the threshold, it means that its structure is robust and the detection of the corner column can continue.
[0054] Corner column monitoring calculation: If the center column and side center column are in a healthy state, the system will then detect the corner column. Corner columns usually bear smaller loads, but their stability affects the overall support structure of the dust collector.
[0055] Calculation of corner column health warning value: By monitoring the load and stress changes of the corner column, the system calculates its stress response capacity and obtains the health warning value. If the health warning value is lower than the threshold, the system will determine that the dust collector is in an unhealthy state.
[0056] Overall health status judgment: If the health warning value of the corner column meets the threshold, the system determines that the dust collector is in a healthy state.
[0057] Beneficial effects: This method can reflect the status of each key component of the dust collector in real time, and achieve accurate judgment through threshold comparison, reducing the possibility of misjudgment. When the health status of any key component is lower than the set threshold, the system can immediately issue an early warning, so that maintenance personnel can take maintenance measures as soon as possible. Layer-by-layer detection can gradually identify potential problems, ensure the structural safety from the core to the periphery, effectively extend the service life of the equipment, and avoid overall failure caused by local structural problems.
[0058] The stress response capacity of the dust collector column is calculated by the load change and stress change of the dust collector column, including the following formula:
[0059]
[0060] Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
[0061] The stress response capacity of the dust collector side column is calculated by the load change and stress change, including the following formula:
[0062]
[0063] Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
[0064] The stress response capacity of the dust collector corner column is calculated by the load change and stress change, including the following formula:
[0065]
[0066] Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
[0067] Based on the same inventive concept, the embodiment of the present disclosure also provides a monitoring-based power plant dust collector structure safety assessment device, comprising:
[0068] The first calculation module is used to calculate the stress response capacity of the dust collector center column through the load change and stress change of the dust collector center column, and calculate the health warning value of the dust collector center column according to the stress response capacity.
[0069] Specifically, the first calculation module calculates the stress response capability by the following formula:
[0070]
[0071] Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
[0072] The first determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the column in the dust collector is lower than its preset health threshold.
[0073] The second calculation module is used to calculate the stress response capacity of the dust collector side center column through the load change and stress change of the dust collector side center column if the health warning value of the dust collector side center column is not lower than its preset health threshold, and calculate the health warning value of the dust collector side center column according to the stress response capacity of the dust collector side center column.
[0074] Specifically, the second calculation module calculates the stress response capability by the following formula:
[0075]
[0076] Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
[0077] The second determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the side center column of the dust collector is lower than its preset health threshold.
[0078] The third calculation module is used to calculate the stress response capacity of the dust collector corner column through the load change and stress change of the dust collector corner column if the health warning value of the dust collector side center column is not lower than its preset health threshold, and calculate the health warning value of the dust collector corner column according to the stress response capacity of the dust collector corner column.
[0079] Specifically, the third calculation module calculates the stress response capability by the following formula:
[0080]
[0081] Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
[0082] The third determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the dust collector corner column is lower than its preset health threshold, otherwise determine that the dust collector is in a healthy state.
[0083] The monitoring-based power plant dust collector structural safety assessment device of this embodiment can reflect the status of each key component of the dust collector in real time, and achieve accurate judgment through threshold comparison, reducing the possibility of misjudgment. When the health status of any key component is lower than the set threshold, the system can immediately issue an early warning to facilitate maintenance personnel to take maintenance measures as soon as possible. Layer-by-layer detection can gradually identify potential problems, ensure structural safety from the core to the periphery, effectively extend the service life of the equipment, and avoid overall failure due to local structural problems.
[0084] The electronic device 200 may be a desktop computer, a notebook, a PDA, a cloud server, or other electronic device. The electronic device 200 may include, but is not limited to, a processor 201 and a memory 202. Those skilled in the art will appreciate that Figure 2 It is only an example of the electronic device 200 and does not constitute a limitation of the electronic device 200. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.
[0085] The processor 201 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.
[0086] The memory 202 may be an internal storage unit of the electronic device 200, for example, a hard disk or memory of the electronic device 200. The memory 202 may also be an external storage device of the electronic device 200, for example, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 200. Further, the memory 202 may also include both an internal storage unit of the electronic device 200 and an external storage device. The memory 202 is used to store the computer program 203 and other programs and data required by the electronic device. The memory 202 may also be used to temporarily store data that has been output or is to be output.
[0087] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present disclosure. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.
[0088] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0089] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this disclosure.
[0090] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and should all be included in the protection scope of the present disclosure.
Claims
1. A monitoring-based method for evaluating the structural safety of a power plant dust collector, characterized in that: The following steps are involved: The stress response capacity of the dust collector column is calculated by the load change and stress change of the dust collector column, and the health warning value of the dust collector column is calculated according to the stress response capacity. If the health warning value of the dust collector column is lower than the preset health threshold, it is determined that the dust collector is in an unhealthy state. If the health warning value of the dust collector center column is not lower than its preset health threshold, the stress response capacity of the dust collector side center column is calculated by the load change and stress change of the dust collector side center column, and the health warning value of the dust collector side center column is calculated according to the stress response capacity of the dust collector side center column. If the health warning value of the dust collector side center column is lower than its preset health threshold, it is determined that the dust collector is in an unhealthy state; If the health warning value of the side center column of the dust collector is not lower than its preset health threshold, the stress response capacity of the dust collector corner column is calculated by the load change and stress change of the dust collector corner column, and the health warning value of the dust collector corner column is calculated according to the stress response capacity of the dust collector corner column. If the health warning value of the dust collector corner column is lower than its preset health threshold, the dust collector is determined to be in an unhealthy state; otherwise, the dust collector is determined to be in a healthy state.
2. The monitoring-based power plant dust collector structure safety assessment method according to claim 1 is characterized in that: The stress response capacity of the dust collector column is calculated by the load change and stress change, including the following formula: Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
3. The method for evaluating the structural safety of a power plant dust collector based on monitoring according to claim 1, characterized in that: The stress response capacity of the dust collector side column is calculated by the load change and stress change, including the following formula: Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
4. The method for evaluating the structural safety of a power plant dust collector based on monitoring according to claim 1, characterized in that: The stress response capacity of the dust collector corner column is calculated by the load change and stress change, including the following formula: Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
5. A monitoring-based power plant dust collector structure safety assessment device, characterized in that: include: A first calculation module is used to calculate the stress response capacity of the dust collector column through the load change and stress change of the dust collector column, and calculate the health warning value of the dust collector column according to the stress response capacity; A first determination module, configured to determine that the dust collector is in an unhealthy state if the health warning value of the dust collector column is lower than a preset health threshold value; A second calculation module is used to calculate the stress response capacity of the dust collector side middle column by the load change and stress change of the dust collector side middle column if the health warning value of the dust collector side middle column is not lower than its preset health threshold, and calculate the health warning value of the dust collector side middle column according to the stress response capacity of the dust collector side middle column; A second determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the side center column of the dust collector is lower than its preset health threshold; A third calculation module is used to calculate the stress response capacity of the dust collector corner column by the load change and stress change of the dust collector corner column if the health warning value of the dust collector side center column is not lower than its preset health threshold, and calculate the health warning value of the dust collector corner column according to the stress response capacity of the dust collector corner column; The third determination module is used to determine that the dust collector is in an unhealthy state if the health warning value of the dust collector corner column is lower than its preset health threshold, otherwise determine that the dust collector is in a healthy state.
6. The monitoring-based power plant dust collector structure safety assessment device according to claim 5, characterized in that: The first calculation module specifically calculates the stress response capability using the following formula: Among them, ΔQ is the load change of the column in the dust collector, and Δσ is the stress change of the column in the dust collector.
7. The monitoring-based power plant dust collector structure safety assessment device according to claim 5, characterized in that: The second calculation module specifically calculates the stress response capability using the following formula: Among them, ΔQ is the load change of the center column of the dust collector side, and Δσ is the stress change of the center column of the dust collector side.
8. The monitoring-based power plant dust collector structure safety assessment device according to claim 5, characterized in that: The third calculation module specifically calculates the stress response capability using the following formula: Among them, ΔQ is the load change of the corner column of the dust collector, and Δσ is the stress change of the corner column of the dust collector.
9. An electronic device, characterized in that: include: one or more processors; A storage unit for storing one or more programs, which, when executed by the one or more processors, enables the one or more processors to implement the power plant dust collector structure safety assessment method based on monitoring according to any one of claims 1 to 4.
10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it can implement the method for evaluating the structural safety of a power plant dust collector based on monitoring according to any one of claims 1 to 4.
Citation Information
Patent Citations
Derrick stress monitoring method, device and system, computer equipment and storage medium
CN112326071A
Safety monitoring system and monitoring method for dust remover of coal-fired power plant
CN116558790A
Bolt tightening state monitoring system, method and device and medium
CN116754121A
Power station dust remover steel structure stress state monitoring method
CN117367635A
Bridge health intelligent monitoring method and assessment system
CN117648734A