Hydraulic engineering electromechanical equipment control system based on intelligent operation state detection

Abstract

The invention relates to the technical field of hydraulic engineering, in particular to a hydraulic engineering electromechanical equipment control system based on intelligent operation state detection. The detection module is used for periodically detecting a plurality of equipment operation parameters of target electromechanical equipment, environment information in a target region and a plurality of equipment operation parameters of regional electromechanical equipment; the state analysis module is used for acquiring the equipment operation indexes of the target electromechanical equipment and determining the operation state of the target electromechanical equipment based on the equipment operation parameters of the target electromechanical equipment; and the control adjustment module is used for determining a fault trend type of the target electromechanical equipment based on the environment information in the target area and the operation state of the target electromechanical equipment, and determining a control adjustment mode based on the fault trend type. The running state of the electromechanical equipment can be detected and adjusted in real time, and the service life of the electromechanical equipment is prolonged.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy projects, and particularly to a control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating states. Background Art

[0002] In the field of water conservancy projects, electromechanical equipment of water conservancy projects is a core component of the operation of water conservancy projects. Its operating state is directly related to the benefits and safety of water conservancy projects and is crucial for the rational allocation of water resources, flood control and disaster resistance, and hydropower generation.

[0003] Traditional electromechanical equipment of water conservancy projects mostly relies on manual inspections and simple sensor detections, making it difficult to accurately and timely grasp the operating state of the equipment. Manual inspections not only consume a large amount of manpower and material resources but also cannot achieve full-time monitoring. Potential equipment failures are difficult to detect in a timely manner. The existing sensor layout is limited, and the data collected by sensors is mainly used for simple threshold judgments. When the operating parameters of the equipment exceed the threshold, an alarm signal is sent. However, many equipment failures do not cause obvious parameter exceedances in the initial stage but are in a process of gradual deterioration. The existing system cannot capture such subtle changes in a timely manner and cannot give early warnings, resulting in the further development of failures, affecting the service life of electromechanical equipment. For some complex failures, the existing technology is difficult to accurately diagnose. The mutual influence between multiple components may lead to atypical failure manifestations. Relying only on simple threshold judgments and limited fault diagnosis algorithms, it is impossible to quickly locate the root cause of the failure, thus delaying the fault warning time and causing the equipment to continue operating in an abnormal state, reducing the service life of the equipment.

[0004] On the other hand, electromechanical equipment of water conservancy projects usually operates in complex field environments, such as harsh environmental conditions like high temperature, high humidity, dust, and salt fog. The existing technology may not be fully adapted to these environmental factors in terms of equipment design and protection. For example, in a high-humidity environment, electrical equipment is prone to moisture absorption, resulting in a decrease in insulation performance and causing faults such as short circuits; in areas with large amounts of dust, the lubrication system of mechanical equipment is easily contaminated, accelerating the wear of components. The existing control system has relatively limited monitoring and response measures for environmental factors and cannot adjust the operating parameters of the equipment or take protective measures in a timely manner according to environmental changes, thus affecting the service life of the equipment.

[0005] In summary, the following problems exist in the existing technology: the detection and abnormal judgment of the operating parameters of water conservancy project equipment are not timely, and the impact of environmental factors on the equipment cannot be considered, resulting in the equipment operating in an abnormal state, thereby reducing the service life of the equipment. Summary of the Invention

[0006] To this end, the present invention provides a control system for electro-mechanical equipment in water conservancy projects based on intelligent detection of operating states, so as to overcome the problems in the prior art that the detection and abnormal judgment of the operating parameters of water conservancy project equipment are not timely, and the influence of environmental factors on the equipment cannot be considered, resulting in the equipment operating in an abnormal state and thus reducing the service life of the equipment.

[0007] To achieve the above object, the present invention provides a control system for electro-mechanical equipment in water conservancy projects based on intelligent detection of operating states, including: An operation detection module for periodically detecting a plurality of equipment operating parameters of a target electro-mechanical equipment, environmental information in a target area, and a plurality of equipment operating parameters of regional electro-mechanical equipment; A state analysis module connected to the operation detection module for obtaining the equipment operation indexes of the target electro-mechanical equipment, and determining the associated electro-mechanical equipment of the target electro-mechanical equipment and the operation state of the target electro-mechanical equipment based on the respective equipment operating parameters of the target electro-mechanical equipment, including an idle state, a normal state, and an overload state; A control adjustment module connected to the state analysis module for determining the fault trend type of the target electro-mechanical equipment based on the environmental information in the target area and the operation state of the target electro-mechanical equipment during a target time period, and determining a control adjustment method based on the fault trend type, including, Determining a plurality of operating parameters to be adjusted based on the equipment operation indexes of the target electro-mechanical equipment and the respective equipment operating parameters of the target electro-mechanical equipment, and adjusting the operating parameters to be adjusted; Or, determining an environmental impact index based on the environmental information in the target area, and adjusting the respective equipment operating parameters based on the environmental impact index; Or, determining an associated characteristic coefficient based on the respective equipment operating parameters of the associated electro-mechanical equipment, and adjusting the respective equipment operating parameters based on the associated characteristic coefficient.

[0008] Further, the state analysis module includes: An index acquisition unit for acquiring the equipment operation indexes of the target electro-mechanical equipment; An operation analysis unit connected to the operation detection module for determining the target operation parameter value corresponding to the target electro-mechanical equipment based on the change situation of the respective equipment operating parameters of the target electro-mechanical equipment during a target time period, and determining the regional operation parameter value corresponding to each regional electro-mechanical equipment based on the change situation of the respective equipment operating parameters of each regional electro-mechanical equipment during the target time period; An associated equipment determination unit connected to the operation analysis unit for determining the associated electro-mechanical equipment corresponding to the target electro-mechanical equipment based on the comparison result between the target operation parameter value and the respective regional operation parameter values; An operating status determination unit, which is respectively connected to the index acquisition unit and the operation analysis unit, and is used to determine the operating status of the target electromechanical device based on the device operation indexes of the target electromechanical device and the comparison results of each device operation parameter.

[0009] Further, the control and adjustment module includes: An environment analysis unit, which is connected to the operation detection module, and is used to determine the environmental impact index of the target electromechanical device based on the environmental information in the target area during the target time period; A fault analysis unit, which is respectively connected to the environment analysis unit and the operating status determination unit, and is used to determine the fault trend type of the target electromechanical device based on the environmental impact index and the operating status of the target electromechanical device; An adjustment analysis unit, which is connected to the fault analysis unit, and is used to determine the control and adjustment method based on the fault trend type of the target electromechanical device.

[0010] Further, the fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating status of the target electromechanical device, including: If the operating status of the target electromechanical device is an overload status, then determine that the fault trend type of the target electromechanical device is the first fault trend.

[0011] Further, the fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating status of the target electromechanical device, and further includes: If the environmental impact index of the target electromechanical device is greater than the preset index threshold, and the operating status of the target electromechanical device is a normal status, then determine that the fault trend type of the target electromechanical device is the second fault trend.

[0012] Further, the fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating status of the target electromechanical device, and further includes: If the operating status of the target electromechanical device is an idle status, then determine that the fault trend type of the target electromechanical device is the third fault trend.

[0013] Further, the adjustment analysis unit determines the control and adjustment method based on the fault trend type of the target electromechanical device, including: If the fault trend type of the target electromechanical device is the first fault trend, then determine a number of operating parameters to be adjusted based on the device operation indexes of the target electromechanical device and each device operation parameter of the target electromechanical device, and adjust the operating parameters to be adjusted; If the failure trend type of the target electromechanical device is the second failure trend, determine the environmental impact index based on the environmental information in the target area, and adjust each device operation parameter based on the environmental impact index; If the failure trend type of the target electromechanical device is the third failure trend, determine the correlation characteristic coefficient based on the operation parameters of each associated electromechanical device, and adjust each device operation parameter based on the correlation characteristic coefficient.

[0014] Further, the adjustment analysis unit determines the parameter adjustment coefficient based on the comparison result between each operation parameter to be adjusted of the target electromechanical device and the device operation index, and adjusts the operation parameter to be adjusted based on the parameter adjustment coefficient.

[0015] Further, the adjustment analysis unit determines the correlation characteristic coefficient based on the comparison result between the operation parameters of each associated electromechanical device and the operation parameters of the target electromechanical device.

[0016] Further, the failure analysis unit determines the failure trend type of the target electromechanical device based on the environmental impact index and the operation state of the target electromechanical device, and further includes: If the environmental impact index of the target electromechanical device is less than or equal to the preset index threshold, and the operation state of the target electromechanical device is the normal state, determine that the failure trend type of the target electromechanical device is the potential failure trend.

[0017] Compared with the prior art, the beneficial effects of the present invention are as follows. By setting up the operation detection module, the present invention can detect the operation parameters of the target electromechanical device, the environmental information in the target area, and the operation parameters of the regional electromechanical devices in real time, realizing real-time detection of multi-dimensional data, providing comprehensive data support for subsequent analysis and control, and improving the accuracy of subsequent data analysis through regional device collaborative monitoring. By setting up the state analysis module to determine the associated electromechanical devices and the operation state of the target electromechanical device, single detection errors can be avoided. By setting up the control adjustment module to determine the failure trend type of the target electromechanical device based on the environmental information in the target area and the operation state of the target electromechanical device, the accuracy of the failure analysis of the target electromechanical device can be improved, avoiding untimely abnormal judgment and resulting in the device running in an abnormal state. Determining the control adjustment method based on the failure trend type can adjust the device operation parameters specifically, improve the device operation efficiency, and extend the service life of the target electromechanical device, avoiding abnormal device operation.

[0018] Furthermore, the state analysis module of the present invention sets up an index acquisition unit to obtain the equipment operation indexes of the target electromechanical equipment, providing accurate data support for subsequent operation state analysis and ensuring the accuracy and reliability of the analysis results. By setting up an operation analysis unit to analyze the changes in the equipment operation parameters of the target electromechanical equipment within the target time period and the changes in the equipment operation parameters of the electromechanical equipment in each region, it is possible to accurately analyze the changes in the equipment operation parameters of the target electromechanical equipment and the electromechanical equipment in each region, thereby respectively determining the target operation parameter values and the operation parameter values of each region, being able to quantify the change trend of the operation parameters of each equipment, and determining the associated electromechanical equipment of the target electromechanical equipment according to the comparison result, which can improve the accuracy of determining the associated electromechanical equipment. Determining the operation state of the target electromechanical equipment based on the equipment operation indexes of the target electromechanical equipment and the comparison result of each equipment operation parameter can accurately judge the operation state of the equipment and improve the accuracy of subsequent control adjustment.

[0019] Furthermore, the control adjustment module of the present invention sets up an environment analysis unit to determine the environmental impact index of the target electromechanical equipment based on the environmental information in the target area, quantifying the impact of environmental factors on the equipment, which helps to more intuitively understand the degree of influence of the environment on equipment operation. Through the analysis of the environmental impact index, it is possible to predict in advance the possible impact of environmental changes on the equipment, which helps to take preventive measures in advance and reduce equipment failures caused by environmental factors. By setting up a fault analysis unit to determine the fault trend type of the target electromechanical equipment based on the environmental impact index and the operation state of the target electromechanical equipment, it is possible to accurately judge the fault trend type of the equipment through a comprehensive analysis of equipment influencing factors, discover potential fault risks in advance, and reduce the possibility of sudden equipment failures. By setting up an adjustment analysis unit, according to the fault trend type of the equipment, a reasonable control adjustment method can be formulated to ensure that the equipment can operate stably under different environments and working conditions. By adjusting the operation parameters of the equipment, the operation performance of the equipment can be optimized, and the operation efficiency and service life of the equipment can be improved. Description of the Drawings

[0020] Figure 1 It is the structural block diagram of the water conservancy project electromechanical equipment control system based on operation state intelligent detection according to the embodiment of the present invention; Figure 2 It is the structural block diagram of the state analysis module according to the embodiment of the present invention; Figure 3 It is the structural block diagram of the control adjustment module according to the embodiment of the present invention; Figure 4 It is the logical judgment diagram for determining the fault trend type of the target electromechanical equipment according to the embodiment of the present invention. Detailed Embodiment

[0021] To make the objectives and advantages of the present invention more clear and understandable, the present invention will be further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0022] The preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and do not limit the protection scope of the present invention.

[0023] It should be noted that in the description of the present invention, the terms indicating directions or positional relationships such as "upper", "lower", "left", "right", "inner", "outer", etc. are based on the directions or positional relationships shown in the drawings. This is only for the convenience of description and does not indicate or imply that the device or component must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.

[0024] In addition, it should also be noted that in the description of the present invention, unless otherwise clearly specified and limited, the terms "installation", "connection", and "connection" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0025] Please refer to Figure 1 as shown, which is the structural block diagram of the water conservancy project electromechanical equipment control system based on intelligent operation status detection according to the embodiment of the present invention; The embodiment of the present invention provides a water conservancy project electromechanical equipment control system based on intelligent operation status detection, including: An operation detection module, which is used to periodically detect several equipment operation parameters of the target electromechanical equipment, environmental information in the target area, and several equipment operation parameters of the area electromechanical equipment; Specifically, the operation detection module includes: A first equipment detection unit, which includes several first sensor components and is used to detect the equipment operation parameters of the target electromechanical equipment; A second equipment detection unit, which includes several second sensor components and is used to detect the equipment operation parameters of the area electromechanical equipment; An environmental detection unit, which includes several third sensor components and is used to detect the environmental information in the target area.

[0026] In implementation, the target electromechanical equipment can be any electromechanical equipment for water conservancy projects. For example, water turbines, pumps, gates, power transmission and distribution equipment, etc. The regional electromechanical equipment refers to other electromechanical equipment in the target area corresponding to the target electromechanical equipment except the target electromechanical equipment. The equipment operation parameters can include, but are not limited to, equipment vibration amplitude and frequency, equipment temperature, equipment power, equipment voltage, etc. The environmental information includes environmental temperature, air humidity, air pressure, wind speed, rainfall, air quality, etc. Of course, for those skilled in the art, any other equipment operation parameters and environmental information suitable for this embodiment can be used as the selection basis for this embodiment.

[0027] It can be understood that the first sensor component includes sensors or devices for detecting each equipment operation parameter corresponding to the target electromechanical equipment, the second sensor component includes sensors or devices for detecting each equipment operation parameter corresponding to the regional electromechanical equipment, and the third sensor component includes sensors or devices for detecting the environmental information in the target area. All of these are prior arts and will not be elaborated here.

[0028] It can be understood that the number of the first sensor component, the second sensor component, and the third sensor component is not unique. By deploying multiple sensors or devices of the same type, not only the integrity and reliability of the detection data are ensured, but also the fault tolerance and maintainability of the system are improved. In the actual application process, the actual implementer can set the number of the first sensor component, the second sensor component, and the third sensor component according to the actual situation or the area of the target area and the influence degree of the equipment.

[0029] It can be understood that the target area can be determined according to the action range of the target electromechanical equipment. The actual implementer can set the detection period of periodic detection based on the actual situation. Preferably, the acquisition period is 3 min to 10 min.

[0030] A state analysis module, which is connected to the operation detection module, is used to obtain the equipment operation indicators of the target electromechanical equipment, and determine the associated electromechanical equipment of the target electromechanical equipment and the operation state of the target electromechanical equipment based on the various equipment operation parameters of the target electromechanical equipment, including idle state, normal state, and overload state; Please refer to Figure 2 as shown, which is the structural block diagram of the state analysis module in the embodiment of the present invention; specifically, the state analysis module includes: An index acquisition unit, which is used to obtain the equipment operation indicators of the target electromechanical equipment; In implementation, the equipment operation indicators of the target electromechanical equipment can be determined based on the mean values of the various equipment operation parameters of the target electromechanical equipment that pass the qualification test in the historical data.

[0031] an operation analysis unit connected to the operation detection module, configured to determine a target operation parameter value corresponding to the target electromechanical device based on changes in each device operation parameter of the target electromechanical device within a target time period, and to determine a regional operation parameter value corresponding to each regional electromechanical device based on changes in each device operation parameter of each regional electromechanical device within a target time period; During implementation, each device operating parameter of the target electromechanical equipment within the target time period and each device operating parameter of the electromechanical equipment in each region are normalized respectively, and the fluctuation degree value of each device operating parameter within the target time period is determined respectively. The target operating parameter value corresponding to the target electromechanical equipment is determined based on the average value of the fluctuation degree values corresponding to each device operating parameter of the target electromechanical equipment, and the regional operating parameter value corresponding to the regional electromechanical equipment is determined based on the average value of the fluctuation degree values corresponding to each device operating parameter of the regional electromechanical equipment.

[0032] In a specific embodiment, the device operating parameter set of the target electromechanical device in the target time period is C=(C1, C2, ..., C i ,…,C n ), the target electromechanical equipment i-th equipment operating parameter list C i =(C i,1 , C i,2 ,…,C i,j ,…,C i,m ), C i,j is the i-th device operating parameter of the target electromechanical equipment detected for the j-th time within the target time period, and C i,j Normalize: Y i,j =(C i,j -min(C i )) / (max(C i )-min(C i )), then after normalization, the equipment operating parameter set of the target electromechanical equipment in the target time period is Y=(Y1, Y2,…, Y i ,…,Y n ), the list of operating parameters of the target electromechanical equipment after normalization Y i =(Y i,1 , Y i,2 ,…,Y i,j ,…,Y i,m ), where i = 1, 2, ..., n, j = 1, 2, ..., m, n is the type of the target electromechanical equipment's equipment operating parameter, and m is the number of detections within the target time period. The fluctuation degree value P corresponding to the i-th equipment operating parameter of the target electromechanical equipment is i =(∑ m j=1 (Y i,j -avg(Yj )) 2 ) / m; The target operating parameter value MY corresponding to the target electromechanical device = (∑ n i=1 P i ) / n, where max() is a preset maximum value determination function, min() is a preset minimum value determination function, and avg() is a preset average value determination function. Those skilled in the art know that the method for determining the regional operating parameter value corresponding to the regional electromechanical device is the same as the above method and will not be elaborated here.

[0033] It can be understood that the actual implementer can set the target time period based on the actual situation. Preferably, the value range of the target time period is set to 2h to 5h.

[0034] The associated device determination unit, which is connected to the operation analysis unit, is used to determine the associated electromechanical device corresponding to the target electromechanical device based on the comparison result between the target operating parameter value and each regional operating parameter value; In implementation, if the ratio of the target operating parameter value to each regional operating parameter value meets the preset parameter standard, the regional electromechanical device corresponding to the preset parameter standard is determined as the associated electromechanical device.

[0035] It can be understood that the actual implementer can set the preset parameter standard based on the actual situation. Preferably, the preset parameter standard is set to (0.8, 1.2), that is, the ratio of the target operating parameter value to the regional operating parameter value greater than 0.8 and less than 1.2 meets the preset parameter standard.

[0036] The operation state determination unit, which is respectively connected to the index acquisition unit and the operation analysis unit, is used to determine the operation state of the target electromechanical device based on the comparison result between the device operation index of the target electromechanical device and each device operation parameter.

[0037] In implementation, if each device operation parameter of the target electromechanical device meets the corresponding device operation index, it is determined that the operation state of the target electromechanical device is the normal state. If there are device operation parameters of the target electromechanical device that exceed the corresponding device operation index, it is determined that the operation state of the target electromechanical device is the overload state. If there are device operation parameters of the target electromechanical device that are lower than the corresponding device operation index and there are no device operation parameters of the target electromechanical device that exceed the corresponding device operation index, it is determined that the operation state of the target electromechanical device is the idle state.

[0038] The device operation index acquisition unit of the state analysis module of the present invention acquires the device operation indexes of the target electromechanical device, providing accurate data support for subsequent operation state analysis and ensuring the accuracy and reliability of the analysis results. By setting the operation analysis unit to analyze the changes in the device operation parameters of the target electromechanical device within the target time period and the changes in the device operation parameters of the electromechanical devices in each area, it is possible to accurately analyze the changes in the device operation parameters of the target electromechanical device and the electromechanical devices in the area, thereby determining the target operation parameter values and the operation parameter values of each area respectively, quantifying the change trend of the operation parameters of each device, and determining the associated electromechanical devices of the target electromechanical device based on the comparison results, which can improve the accuracy of determining the associated electromechanical devices. Determining the operation state of the target electromechanical device based on the device operation indexes of the target electromechanical device and the comparison results of the device operation parameters can accurately judge the operation state of the device and improve the accuracy of subsequent control adjustment.

[0039] The control adjustment module, which is connected to the state analysis module, is used to determine the fault trend type of the target electromechanical device based on the environmental information in the target area and the operation state of the target electromechanical device during the target time period, and determine the control adjustment method based on the fault trend type, including Determining a number of operation parameters to be adjusted based on the device operation indexes of the target electromechanical device and the device operation parameters of the target electromechanical device, and adjusting the operation parameters to be adjusted; Or, determining an environmental impact index based on the environmental information in the target area, and adjusting the device operation parameters based on the environmental impact index; Or, determining an associated characteristic coefficient based on the device operation parameters of the associated electromechanical devices, and adjusting the device operation parameters based on the associated characteristic coefficient.

[0040] Please refer to Figure 3 as shown, which is the structural block diagram of the control adjustment module of the embodiment of the present invention; specifically, the control adjustment module includes: The environmental analysis unit, which is connected to the operation detection module, is used to determine the environmental impact index of the target electromechanical device based on the environmental information in the target area during the target time period; In implementation, normalize each environmental information, normalize data with different dimensions to the same dimension range, and determine the environmental impact index H of the target electromechanical device according to the following formula, H = ∑ h g=1 w g ×q g , where h is the type of environmental information, w g is the weight of the gth environmental information, and q g is the normalized value of the gth environmental information.

[0041] It can be understood that the actual implementers can assign weights to each environmental parameter according to the degree of influence of environmental information on the operation of the electromechanical equipment, or can specifically determine it based on expert systems, historical data analysis, or machine learning methods.

[0042] A fault analysis unit, which is respectively connected to the environmental analysis unit and the operation state determination unit, and is used to determine the fault trend type of the target electromechanical equipment based on the environmental impact index and the operation state of the target electromechanical equipment; Please refer to Figure 4 As shown, it is a logical judgment diagram for determining the fault trend type of the target electromechanical equipment in an embodiment of the present invention; specifically, the fault analysis unit determines the fault trend type of the target electromechanical equipment based on the environmental impact index and the operation state of the target electromechanical equipment, including: If the operation state of the target electromechanical equipment is an overload state, then determine that the fault trend type of the target electromechanical equipment is the first fault trend; If the environmental impact index of the target electromechanical equipment is greater than a preset index threshold, and the operation state of the target electromechanical equipment is a normal state, then determine that the fault trend type of the target electromechanical equipment is the second fault trend; In implementation, the actual implementers can set the preset index threshold according to the actual situation or the average value of the environmental impact index that passes the qualification test in historical data. Preferably, the value range of the preset index threshold is set to 0.9 - 0.95.

[0043] If the operation state of the target electromechanical equipment is an idle state, then determine that the fault trend type of the target electromechanical equipment is the third fault trend.

[0044] Specifically, the fault analysis unit determining the fault trend type of the target electromechanical equipment based on the environmental impact index and the operation state of the target electromechanical equipment further includes: If the environmental impact index of the target electromechanical equipment is less than or equal to the preset index threshold, and the operation state of the target electromechanical equipment is a normal state, then determine that the fault trend type of the target electromechanical equipment is a potential fault trend.

[0045] An adjustment analysis unit, which is connected to the fault analysis unit, and is used to determine the control adjustment method based on the fault trend type of the target electromechanical equipment.

[0046] Specifically, the adjustment analysis unit determining the control adjustment method based on the fault trend type of the target electromechanical equipment includes: If the failure trend type of the target electromechanical device is the first failure trend, determine a number of operating parameters to be adjusted based on the device operating indicators of the target electromechanical device and the operating parameters of the target electromechanical device, and adjust the operating parameters to be adjusted; Specifically, the adjustment analysis unit determines a parameter adjustment coefficient based on the comparison result between each operating parameter to be adjusted of the target electromechanical device and the device operating indicator, and adjusts the operating parameter to be adjusted based on the parameter adjustment coefficient.

[0047] In practice, if the operating state of the target electromechanical device is an overload state, it indicates that at least one of the operating parameters of the target electromechanical device exceeds the device operating indicator, and there is an overload risk. Continuing to operate may cause the device to be damaged due to overload operation, reducing the service life of the device. Therefore, it is necessary to adjust the corresponding operating parameters of the device to make it operate normally.

[0048] It can be understood that the device operating indicators of the target electromechanical device are compared with the operating parameters of the target electromechanical device, the operating parameters that exceed the device operating indicators are determined as the operating parameters to be adjusted, the first difference is determined based on the average value of the difference between the operating parameters to be adjusted and the corresponding device operating indicators, the adjustment coefficient to be adjusted is determined according to the ratio of the first difference to the corresponding device operating indicator, and the parameter adjustment coefficient is determined according to the average value of the adjustment coefficients to be adjusted corresponding to each operating parameter to be adjusted. The parameter adjustment amount is determined according to the product of the parameter adjustment coefficient and the current operating parameter of each operating parameter to be adjusted, and the adjusted operating parameter to be adjusted is determined based on the difference between the current operating parameter and the parameter adjustment amount.

[0049] If the failure trend type of the target electromechanical device is the second failure trend, determine the environmental impact index based on the environmental information in the target area, and adjust each operating parameter based on the environmental impact index; In practice, if the environmental impact index of the target electromechanical device is greater than the preset index threshold, and the operating state of the target electromechanical device is a normal state, it indicates that although the target electromechanical device is operating normally, the environmental conditions are relatively harsh, and the impact on the target electromechanical device is relatively large. There may be a risk that the environment affects the device operation. It is necessary to adjust the device operating parameters in a timely manner to reduce the adverse impact of environmental factors on the device operation and ensure the stable operation of the device in a normal state.

[0050] It can be understood that the adjusted device operating parameters are determined according to the product of the environmental impact index and each device operating parameter.

[0051] If the failure trend type of the target electromechanical device is the third failure trend, determine the associated characteristic coefficient based on the operating parameters of each associated electromechanical device, and adjust the operating parameters of each device based on the associated characteristic coefficient.

[0052] Specifically, the adjustment analysis unit determines the associated characteristic coefficient based on the comparison result between the operating parameters of each associated electromechanical device and the operating parameters of the target electromechanical device.

[0053] In practice, if the operating state of the target electromechanical device is the idle state, indicating that at least one of the operating parameters corresponding to the target electromechanical device is lower than the device operating index, there is hidden damage during equipment idling. By analyzing the parameter operation of the associated electromechanical device, it is possible to determine whether there is an abnormality in the operating state of the target electromechanical device. By analyzing the operating parameters of the associated electromechanical device, the associated characteristic coefficient is determined, realizing the collaborative optimization of the entire system, improving the operating efficiency and stability of the entire system. When the equipment is in the idle state, by adjusting the equipment operating parameters, it is possible to reasonably allocate system resources and avoid resource waste.

[0054] It can be understood that the associated operating parameter value is determined based on the change of the operating parameters of the associated electromechanical device, the associated characteristic coefficient is determined based on the ratio of the mean value of each associated operating parameter value to the target operating parameter value corresponding to the target electromechanical device, and the adjusted equipment operating parameter is determined based on the product of the associated characteristic coefficient and the current equipment operating parameter of the target electromechanical device.

[0055] In the present invention, the control adjustment module determines the environmental impact index of the target electromechanical device based on the environmental information in the target area by setting the environmental analysis unit, quantifies the impact of environmental factors on the device, which helps to more intuitively understand the degree of influence of the environment on the device operation. By analyzing the environmental impact index, it is possible to predict in advance the possible impact of environmental changes on the device, which helps to take preventive measures in advance and reduce equipment failures caused by environmental factors. By setting the failure analysis unit to determine the failure trend type of the target electromechanical device based on the environmental impact index and the operating state of the target electromechanical device, it is possible to accurately judge the failure trend type of the device by comprehensively analyzing the device influencing factors, discover potential failure risks in advance, and reduce the possibility of sudden equipment failures. By setting the adjustment analysis unit according to the failure trend type of the device, a reasonable control adjustment method can be formulated to ensure that the device can operate stably under different environments and working conditions. By adjusting the operating parameters of the device, the operating performance of the device can be optimized, and the operating efficiency and service life of the device can be improved.

[0056] Specifically, if the failure trend type of the target electromechanical device is the potential failure trend, do not adjust the operating parameters of each device of the target electromechanical device.

[0057] In implementation, the environmental impact index of the target electromechanical device is less than or equal to the preset index threshold, and the operating state of the target electromechanical device is normal, indicating that the operating state of the target electromechanical device is normal, and the current environment's impact on the device is within an acceptable range. Environmental factors will not significantly affect the normal operation of the device, and the operating parameters of the target electromechanical device can be temporarily not adjusted.

[0058] Through the setting of the operation detection module, the present invention can detect the operating parameters of the target electromechanical device, the environmental information in the target area, and the operating parameters of the regional electromechanical devices in real time, realizing real-time detection of multi-dimensional data and providing comprehensive data support for subsequent analysis and control. Through the collaborative monitoring of regional devices, the accuracy of subsequent data analysis can be improved. By setting the state analysis module to determine the associated electromechanical devices and operating states of the target electromechanical device, single detection errors can be avoided. By setting the control adjustment module to determine the fault trend type of the target electromechanical device based on the environmental information in the target area and the operating state of the target electromechanical device, the accuracy of fault analysis of the target electromechanical device can be improved, and the situation of untimely abnormal judgment, resulting in the device operating in an abnormal state, can be avoided. Based on the fault trend type to determine the control adjustment method, the operating parameters of the device can be adjusted targeted, improving the operating efficiency of the device and the service life of the target electromechanical device, and avoiding abnormal operation of the device.

[0059] So far, the technical solution of the present invention has been described in combination with the preferred embodiments shown in the drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will all fall within the protection scope of the present invention.

Claims

1. A control system for electromechanical equipment in water conservancy projects based on intelligent detection of operating status, characterized in that, Including: An operation detection module, used to periodically detect several device operation parameters of the target electromechanical device, environmental information in the target area, and several device operation parameters of the area electromechanical devices; A status analysis module, connected to the operation detection module, used to obtain the device operation indicators of the target electromechanical device, and determine the associated electromechanical devices of the target electromechanical device and the operation status of the target electromechanical device based on the respective device operation parameters of the target electromechanical device, including an idle state, a normal state, and an overload state; A control adjustment module, connected to the status analysis module, used to determine the fault trend type of the target electromechanical device based on the environmental information in the target area and the operation status of the target electromechanical device during a target time period, and determine the control adjustment method based on the fault trend type, including, Determining several operation parameters to be adjusted based on the device operation indicators of the target electromechanical device and the respective device operation parameters of the target electromechanical device, and adjusting the operation parameters to be adjusted; Or, determining an environmental impact index based on the environmental information in the target area, and adjusting the respective device operation parameters based on the environmental impact index; Or, determining an associated characteristic coefficient based on the respective device operation parameters of the associated electromechanical devices, and adjusting the respective device operation parameters based on the associated characteristic coefficient.

2. The control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 1, characterized in that, The status analysis module includes: An index acquisition unit, used to acquire the device operation indicators of the target electromechanical device; An operation analysis unit, connected to the operation detection module, used to determine the target operation parameter value corresponding to the target electromechanical device based on the change situation of the respective device operation parameters of the target electromechanical device during a target time period, and determine the area operation parameter value corresponding to each area electromechanical device based on the change situation of the respective device operation parameters of each area electromechanical device during a target time period; An associated device determination unit, connected to the operation analysis unit, used to determine the associated electromechanical devices corresponding to the target electromechanical device based on the comparison result between the target operation parameter value and each area operation parameter value; An operation status determination unit, respectively connected to the index acquisition unit and the operation analysis unit, used to determine the operation status of the target electromechanical device based on the comparison result between the device operation indicators of the target electromechanical device and the respective device operation parameters.

3. The control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 2, characterized in that, The control adjustment module includes: An environmental analysis unit, connected to the operation detection module, used to determine the environmental impact index of the target electromechanical device based on the environmental information in the target area during a target time period; A fault analysis unit, respectively connected to the environmental analysis unit and the operation status determination unit, used to determine the fault trend type of the target electromechanical device based on the environmental impact index and the operation status of the target electromechanical device; An adjustment analysis unit, connected to the fault analysis unit, used to determine the control adjustment method based on the fault trend type of the target electromechanical device.

4. The control system for the electromechanical equipment of the water conservancy project based on intelligent detection of the operating state according to claim 3, characterized in that, The fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operation status of the target electromechanical device, including: If the operating state of the target electromechanical device is an overload state, then determine that the fault trend type of the target electromechanical device is the first fault trend.

5. The control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 4, characterized in that, The fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating state of the target electromechanical device, and further includes: If the environmental impact index of the target electromechanical device is greater than the preset index threshold and the operating state of the target electromechanical device is a normal state, then determine that the fault trend type of the target electromechanical device is the second fault trend.

6. The control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 5, characterized in that, The fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating state of the target electromechanical device, and further includes: If the operating state of the target electromechanical device is an idle state, then determine that the fault trend type of the target electromechanical device is the third fault trend.

7. The control system for the electromechanical equipment of the water conservancy project based on intelligent detection of the operating state according to claim 6, characterized in that, The adjustment analysis unit determines the control adjustment method based on the fault trend type of the target electromechanical device, including: If the fault trend type of the target electromechanical device is the first fault trend, then determine a number of operating parameters to be adjusted based on the device operating index of the target electromechanical device and the operating parameters of each device of the target electromechanical device, and adjust the operating parameters to be adjusted. If the fault trend type of the target electromechanical device is the second fault trend, then determine the environmental impact index based on the environmental information in the target area, and adjust the operating parameters of each device based on the environmental impact index. If the fault trend type of the target electromechanical device is the third fault trend, then determine the correlation characteristic coefficient based on the operating parameters of each device of the associated electromechanical device, and adjust the operating parameters of each device based on the correlation characteristic coefficient.

8. The control system for the electromechanical equipment of a water conservancy project based on intelligent detection of the operating state according to claim 7, wherein The adjustment analysis unit determines the parameter adjustment coefficient based on the comparison result between the operating parameters to be adjusted of the target electromechanical device and the device operating index, and adjusts the operating parameters to be adjusted based on the parameter adjustment coefficient.

9. The control system for electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 8, characterized in that, The adjustment analysis unit determines the correlation characteristic coefficient based on the comparison result between the operating parameters of each device of the associated electromechanical device and the operating parameters of the target electromechanical device.

10. The control system for the electromechanical equipment of water conservancy projects based on intelligent detection of operating status according to claim 9, wherein The fault analysis unit determines the fault trend type of the target electromechanical device based on the environmental impact index and the operating state of the target electromechanical device, and further includes: If the environmental impact index of the target electromechanical device is less than or equal to the preset index threshold and the operating state of the target electromechanical device is a normal state, then determine that the fault trend type of the target electromechanical device is a potential fault trend.

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