CN116664337A - Intelligent management system for hydropower station - Google Patents
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Abstract
The invention discloses an intelligent management system of a hydropower station, which comprises a basic function management module, a dam safety management module, a water energy management module and an intelligent alarm module which are mutually coupled, wherein the basic function management module is used for managing basic information, roles, personnel and data backup of the system; the dam safety management module is used for performing dam front water level monitoring, dam water inlet floater monitoring, gate/ecological flow state monitoring, dam face and two-side mountain condition monitoring, multidimensional label retrieval and real-time image broadcasting monitoring management; the water energy management module is used for managing water energy information, generator set load and leakage flow; the intelligent alarm module is used for alarming the water level in front of the dam, floating objects at the water inlet, ecological flow, unit output conditions, power generation water consumption rate, personnel conditions in a monitoring area and abnormal conditions of camera use. The invention can realize comprehensive and efficient management of the hydropower station and improve the management benefit of the hydropower station.
Description
Technical Field
The invention relates to the technical field of hydropower station management, in particular to an intelligent hydropower station management system.
Background
With the development of economy and society, annual energy production in China is continuously improved. In the Chinese energy consumption structure, the energy consumption position of hydroelectric power generation is second. With the emphasis of the national energy structure adjustment, the annual energy production of hydroelectric power generation is also continuously improved. Directly related to hydropower is a hydropower station.
Hydropower stations are comprehensive engineering facilities capable of converting water energy into electric energy. Generally comprises a reservoir formed by a water retaining and draining building (dam), a hydropower station diversion system, a power generation plant, electromechanical equipment and the like. The high-water level water of the reservoir flows into a factory building through a water diversion system to push a water-turbine generator set to generate electric energy, and then is input into a power grid through a step-up transformer, a switching station and a power transmission line.
The current China is distributed with a plurality of hydropower stations with large and small sizes, mainly distributed in eastern coastal areas and Yangtze river drainage areas of yellow river, is complex in distribution, is remote in site, enhances safety supervision and water energy management of hydropower station dams, and is a main work of hydropower station management. However, in the prior art, a hydropower station management system for comprehensively and efficiently managing a hydropower station is not available, and at present, management of the hydropower station is mainly performed by manual timing inspection, so that on one hand, a large amount of manpower and fund input is needed, on the other hand, timeliness is low, and the safety condition of a reservoir is difficult to effectively master.
Therefore, how to design a set of intelligent management system of the hydropower station to realize comprehensive and efficient management of the hydropower station is a problem to be solved at present.
Disclosure of Invention
The invention aims at solving at least one of the technical problems in the prior art, and particularly creatively provides an intelligent management system for a hydropower station, which can realize comprehensive and efficient management of the hydropower station, effectively strengthen the monitoring of the utilization of hydropower energy of the hydropower station, improve the utilization rate of the hydropower energy, increase the power generation income of the hydropower station and improve the management benefit of the hydropower station.
In order to achieve the above object of the present invention, the present invention provides an intelligent management system for a hydropower station, comprising a basic function management module, a dam safety management module, a water energy management module and an intelligent alarm module coupled to each other, wherein,
the basic function management module is used for managing basic information, roles, personnel and data backup of the system;
the dam safety management module is used for performing dam front water level monitoring, dam water inlet floater monitoring, gate/ecological flow state monitoring, dam face and two-side mountain condition monitoring, multidimensional label retrieval and real-time image broadcasting monitoring management;
the water energy management module is used for managing water energy information, generator set load and discharging flow;
the intelligent alarm module is used for alarming the water level in front of the dam, floating objects at the water inlet, ecological flow, unit output conditions, power generation and water consumption rate, personnel conditions in a monitoring area and abnormal conditions of camera use.
Preferably, the intelligent management system of the hydropower station further comprises an auxiliary decision-making module for automatically generating auxiliary decision-making suggestions according to real-time monitoring data of the hydropower station.
Preferably, the intelligent management system of the hydropower station further comprises a system self-checking module, which is used for monitoring working states of a server, a communication network, storage equipment, computing resources and cameras of the system and starting a preset abnormal condition processing strategy when abnormal conditions are monitored.
Preferably, the basic function management module includes:
the system configuration management unit is used for configuring the system basic information;
the role management unit is used for configuring a corresponding role for the user according to the identity information of the user and associating corresponding authority information for the role;
the personnel management unit is used for adding users, deleting users, setting basic information of the users and changing roles associated with the users; and
the data backup management unit is used for configuring a data backup management strategy and starting and closing a data backup function according to the configured data backup management strategy.
Preferably, the dam security management module includes:
the dam front water level monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition according to the video pictures to obtain the current dam front water level of the dam, comparing the current dam front water level with a preset water level height alarm threshold value, and generating corresponding water level early warning information when the current dam front water level reaches the preset water level height alarm threshold value;
the dam water inlet floater monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition and feature extraction according to the video pictures to obtain a water inlet floater image of a preset area, calculating the floater coverage area in the water inlet floater image, and generating corresponding floater early warning information when the floater coverage area reaches a preset coverage area warning threshold;
the gate/ecological flow state monitoring unit is used for acquiring video pictures of dam monitoring and carrying out image recognition according to the video pictures to obtain the opening and closing states of the gate of the dam;
the dam face and two-side mountain condition monitoring unit is used for carrying out image recognition according to the video pictures by collecting the video pictures monitored by the dam, and judging whether the dam face has personnel accumulation, whether the dam face has structures abnormal and whether the two-side mountain is abnormal according to the image recognition result;
the multi-dimensional label searching unit is used for carrying out classified searching according to different labels input by a user, selecting a corresponding split screen mode according to the searching result and displaying the searching result; and
the real-time monitoring image spot broadcasting unit is used for realizing split screen mode switching, picture snapshot, polling switching of displayed images, video playback, double code stream automatic switching and video picture zooming when a user performs image spot broadcasting.
Preferably, the water energy management module comprises:
the water energy information statistical analysis unit is used for carrying out statistical analysis on incoming water flow, power generation water quantity, water discarding quantity, flood discharge quantity, rainfall, water consumption rate and upstream and downstream water levels to form a water energy information statistical analysis report presented in a report form or a curve form;
the generator set load analysis unit is used for calculating the warehouse-in flow according to the warehouse capacity change information and the downward leakage flow, and analyzing and obtaining the generator set recommended load according to the warehouse-in flow, the generator set water content and the generator set actual load; and
the lower drainage flow management unit is used for constructing a gate opening-lower drainage flow relation curve, calculating the current ecological flow according to the current water flow, the current gate opening and the gate opening-lower drainage flow relation curve, and generating ecological flow cutoff early warning information according to the calculated previous ecological flow.
Preferably, the intelligent warning module is specifically configured to automatically and correspondingly generate real-time warning information according to the early warning information generated by the dam safety management module and the water energy management module, and send the real-time warning information to a preconfigured contact person.
Preferably, the auxiliary decision module comprises:
the optimal operation suggestion generation unit is used for generating a current optimal operation suggestion according to real-time monitoring data of the hydropower station and a pre-constructed expert knowledge base model, wherein the real-time monitoring data at least comprises water level, warehouse-in flow, power generation reference flow, discharging flow, generator set operation state number and gate opening, and the current optimal operation suggestion at least comprises the current optimal generator set output number;
the alarm statistics unit is used for classifying and statistically analyzing the history alarm records to form a visual report form and carrying out transverse comparison;
the dangerous case level management unit is used for grading dangerous case levels of reservoirs, dams, hydropower station production processes and hydropower station perimeters, automatically judging the dangerous case levels according to monitoring data, determining a release range and outputting corresponding response information;
the storage capacity information prompting unit is used for calculating current storage capacity information according to the current water level and a pre-constructed storage capacity-water level curve and outputting corresponding storage capacity prompting information according to the current storage capacity information;
the abnormal water discarding prompting unit is used for judging whether the water is abnormally discarded according to the current gate opening, the gate opening-downward drainage flow relation curve, the warehouse-in flow, the unit power generation reference flow and the running state of the generator unit, and outputting corresponding abnormal water discarding prompting information if the water is abnormally discarded; and
the power generation power prompting unit is used for calculating the current power generation power according to the current unit power generation reference flow and a pre-constructed reference flow-power generation power relation curve.
Preferably, the dam security management module further comprises:
a flood discharge gate downstream water area monitoring unit for controlling the plurality of unmanned aerial vehicles to patrol in a preset period before flood discharge according to the received flood discharge early warning information so as to monitor whether people exist in a preset river area range downstream of the flood discharge gate, if so,
and controlling the unmanned aerial vehicle to send a flood discharge early warning prompt broadcast close to a target person, establishing communication connection with a telecom operator, and sending a flood discharge reminding short message or dialing a flood discharge reminding telephone to a user mobile phone within a preset river channel region range at the downstream of the flood discharge gate through the telecom operator so as to remind the person within the preset river channel region range at the downstream of the flood discharge gate to withdraw the flood discharge dangerous region in time.
According to the scheme, the intelligent management system for the hydropower station is provided, through the basic function management module, the dam safety management module, the water energy management module and the intelligent alarm module which are mutually coupled, and the corresponding functions of the modules, comprehensive and efficient management of the hydropower station can be realized, the monitoring of the water energy utilization of the hydropower station is effectively enhanced, the water energy utilization rate is improved, the power generation income of the hydropower station is increased, the management benefit of the hydropower station is improved, and the problems that a large amount of manpower and fund are needed in the management process of the hydropower station mainly due to manual timing inspection in the prior art, the timeliness is low, and the safety condition of a reservoir is difficult to master effectively are effectively solved.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The foregoing and/or additional aspects and advantages of the invention will become apparent and may be better understood from the following description of embodiments taken in conjunction with the accompanying drawings in which:
FIG. 1 is a system architecture diagram of a hydropower station intelligent management system in accordance with a preferred embodiment of the present invention;
FIG. 2 is a graph of reservoir capacity versus water level for a hydropower station according to an embodiment of the invention;
FIG. 3 is a graph of reference flow versus generated power for two hydropower stations in accordance with one embodiment of the invention;
FIG. 4 is a schematic diagram of a server performance monitoring architecture for monitoring server performance of a system according to an embodiment of the present invention;
FIG. 5 is a schematic diagram of an alert interface in accordance with an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
It will be understood by those skilled in the art that all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs unless defined otherwise. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the prior art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The invention provides an intelligent management system of a hydropower station, the system architecture of the intelligent management system of the hydropower station is shown in figure 1, the intelligent management system comprises an acquisition layer, an application layer and a dam safety and water energy management system layer, wherein the dam safety and water energy management system layer comprises a basic function management module, a dam safety management module, a water energy management module and an intelligent alarm module which are mutually coupled, wherein,
the basic function management module is used for managing basic information, roles, personnel and data backup of the system;
the dam safety management module is used for performing dam front water level monitoring, dam water inlet floater monitoring, gate/ecological flow state monitoring, dam face and two-side mountain condition monitoring, multidimensional label retrieval and real-time image broadcasting monitoring management;
the water energy management module is used for managing water energy information, generator set load and leakage flow;
the intelligent alarm module is used for alarming the water level in front of the dam, floating objects at the water inlet, ecological flow, unit output conditions, power generation water consumption rate, personnel conditions in a monitoring area and abnormal conditions of camera use.
According to the scheme, the intelligent management system for the hydropower station is provided, through the basic function management module, the dam safety management module, the water energy management module and the intelligent alarm module which are mutually coupled, and the corresponding functions of the modules, comprehensive and efficient management of the hydropower station can be achieved, the monitoring of the water energy utilization of the hydropower station is effectively enhanced, the water energy utilization rate of the hydropower station is improved, the power generation income of the hydropower station is increased, the management benefit of the hydropower station is improved, and the problems that a large amount of manpower and fund are needed in the management process of the hydropower station mainly due to manual timing inspection in the prior art are effectively solved, the timeliness is low, and the safety condition of a reservoir is difficult to be effectively mastered.
In one embodiment, the intelligent hydropower station management system further comprises an auxiliary decision module for automatically generating an auxiliary decision suggestion according to real-time monitoring data of the hydropower station. Specifically, in this embodiment, the auxiliary decision module includes:
the optimal operation suggestion generation unit is used for generating a current optimal operation suggestion according to real-time monitoring data of the hydropower station and a pre-constructed expert knowledge base model, wherein the real-time monitoring data at least comprises water level, warehouse-in flow, power generation reference flow, discharging flow, generator set operation state number and gate opening, and the current optimal operation suggestion at least comprises the current optimal generator set output number;
specifically, in this embodiment, the method for constructing the expert knowledge base model includes the following steps:
combining the suggestion and experience of the hydropower expert, forming an expert knowledge base in the system;
classifying and analyzing the expert knowledge base, classifying according to different situation types, and forming an initial expert knowledge base model of the corresponding situation type;
and optimizing the initial expert knowledge base model according to feedback information in the using process to obtain a final expert knowledge base model, so that the obtained optimal operation suggestion is more effective and accurate.
The alarm statistics unit is used for classifying and statistically analyzing the history alarm records to form a visual report form and carrying out transverse comparison; therefore, the safety condition of the power station environment can be mastered by the manager in time, and an auxiliary basis is provided for the decision of the manager.
The dangerous case level management unit is used for grading dangerous case levels of reservoirs, dams, hydropower station production processes and hydropower station perimeters, automatically judging the dangerous case levels according to monitoring data, determining a release range and outputting corresponding response information; in this embodiment, specifically, the dam and water energy information such as the dam water level, the water inlet floating object, the weather information, the hydrologic information and the like can be monitored by arranging the cameras or the sensors at the corresponding positions, and the dangerous case classification is performed according to a preset dangerous case classification mechanism according to the monitoring result, so that multiple early warning functions such as dam water level early warning, water inlet floating object early warning, ecological flow early warning, personnel gathering early warning, warehouse entry flow early warning and the like are performed, and automatic and continuous monitoring and early warning are realized.
The storage capacity information prompting unit is used for calculating current storage capacity information according to the current water level and a pre-constructed storage capacity-water level curve and outputting corresponding storage capacity prompting information according to the current storage capacity information; specifically, as shown in fig. 2, the reservoir capacity-water level curve is a curve representing the relationship between the water level of the reservoir and its corresponding reservoir capacity, and is drawn by taking the water level (which may also be expressed by an elevation) as an ordinate and the reservoir capacity as an abscissa.
The abnormal water discarding prompting unit is used for judging whether the water is abnormally discarded according to the current gate opening, the gate opening-downward drainage flow relation curve, the warehouse-in flow, the unit power generation reference flow and the running state of the generator unit, and outputting corresponding abnormal water discarding prompting information if the water is abnormally discarded; specifically, when the opening of the gate is greater than the preset ecological drainage opening, the dam is used for discharging or discarding water, and at the moment, if the warehouse-in flow is greater than the power generation reference flow of the unit and the unit is full, the flood discharge is judged, and abnormal water discarding prompt information is not output; otherwise, the warehouse-in flow is smaller than the power generation reference flow of the unit, and the corresponding abnormal water discarding prompt information is output for water discarding.
The power generation power prompting unit is used for calculating the current power generation power according to the current unit power generation reference flow and a pre-constructed reference flow-power generation power relation curve, so that data support is provided for economic operation of the hydropower station. Specifically, as shown in fig. 3, reference flow-power relationship curves of two hydropower stations in a specific example are shown, wherein two graphs on the left side and the rear side in fig. 3 respectively represent reference flow-power relationship curves of two different hydropower stations.
In one embodiment, the intelligent hydropower station management system further comprises a system self-checking module, which is used for monitoring working states of a server, a communication network, storage equipment, computing resources and cameras of the system, and starting a preset abnormal situation processing strategy when abnormal situations are monitored.
Specifically, in this embodiment, the system self-checking module uses a combination of grafana+promethaus+node_exporter to monitor the performance of the server. A specific implementation architecture is shown in fig. 4. The whole set of self-checking schemes are all dock integrated deployment, and operation and maintenance staff does not need to know technical details in the dock integrated deployment and only needs to care about the quality condition of platform operation. The indexes mainly focused by operation staff are as follows: CPU usage, memory usage, partition usage, disk reading, disk writing, upstream and downstream bandwidth, etc. If an alarm condition is triggered, the relevant technician can be notified to process.
Specifically, in this embodiment, the system self-checking module monitors the working state of the communication network according to a set monitoring period, where main monitoring indexes are as follows: the network connection and disconnection, uploading bandwidth, downloading bandwidth, network delay, network connection number and the like. The system self-checking module can generate a corresponding monitoring chart according to the monitoring index, wherein the main chart comprises: traffic per hour, network bandwidth usage per second, network Socket connection statistics. In addition, the system self-checking module supports configuration of a network detection threshold, and when the detected index breaks through the threshold, the system self-checking module can inform maintenance personnel; the system self-checking module supports various alarm notification modes, including: mail notifications, spike notifications, webhook notifications, etc.
Specifically, in this embodiment, the system self-checking module monitors the working state of the storage device according to a set monitoring period, where main monitoring indexes are as follows: disk usage, disk reads, disk writes, etc. The system self-checking module can generate a corresponding monitoring chart according to the monitoring index, wherein the main chart comprises: the method comprises the steps of overall total disk and overall average disk utilization trend, available space tables of all partitions, disk read-write capacity per second, disk utilization trend, disk read-write speed trend, I/O operation time consumption ratio per 1 second and time consumption of each IO read-write. The system self-checking module supports configuration and storage of a detection threshold, and when the detected index breaks through the threshold, the system can inform maintenance personnel. The system supports various alarm notification modes, including: mail notifications, spike notifications, webhook notifications, etc.
Specifically, in this embodiment, the system self-checking module further monitors the key service status, and when a service abnormality occurs, the system self-checking module can automatically recover. The method for monitoring and recovering the key service is as follows:
writing a script to periodically perform keep-alive detection on key services of the system, and periodically responding to the script by the system, wherein if the script detects keep-alive failure, a restart service instruction can be called to enable the services to be recovered to be normal; meanwhile, the docker starting file is configured, the restarting strategy is configured as an always, and if the container encounters an impossible downtime, the restarting recovery service can be tried. After restarting the key service, maintenance personnel can be immediately notified to process, and meanwhile, a dump is made on the whole memory when the fault occurs for subsequent problem analysis.
Specifically, in this embodiment, the system self-checking module monitors the working state of the computing resource according to a set monitoring period, monitors the CPU and the memory regularly, and has main monitoring indexes: CPU utilization, memory utilization, swap partition utilization, etc. The system self-checking module can generate a corresponding monitoring chart according to the monitoring index, wherein the main chart comprises: overall total load and overall average CPU utilization trend, overall total memory and overall average memory utilization trend, CPU utilization trend, memory utilization trend, system average load, number of context switches per second, file descriptor opened. The system self-checking module supports configuration of a computing resource detection threshold, and when the detected index breaks through the threshold, the system can inform maintenance personnel. The system supports various alarm notification modes, including: mail notifications, spike notifications, webhook notifications, etc.
Specifically, in this embodiment, the system self-checking module monitors the working state of the camera, including power failure, network failure, hardware failure, and the situation that the camera can communicate but has no video stream, and when the failure is found, immediately alarms. The warning mode is that popup window prompt is carried out on the platform, and meanwhile operation and maintenance personnel are informed to process in time. Specifically, when no video stream is detected on the camera, on one hand, the operation and maintenance personnel are notified to timely process the camera fault, on the other hand, the related staff are notified to manually monitor the responsibility area of the camera, manual monitoring, such as monitoring the camera of the floating object at the water inlet, can be arranged according to the situation, when the floating object at the monitoring area before the fault reaches 90% of the threshold value, manual monitoring can be arranged, that is, if the monitoring target before the camera fault reaches a certain ratio of the threshold value, manual monitoring/inspection is arranged until the fault is eliminated. Meanwhile, the system self-checking module can generate a corresponding statistical chart for the overall monitoring condition of the camera, and the main icons are as follows: the statistics of the accumulated alarm times, the statistics of the power failure frequency, the statistics of the network failure frequency and the statistics of the camera hardware failure frequency. The system self-checking module also supports key cameras to carry out key monitoring, and for the cameras configured with key monitoring, the system self-checking module can carry out monitoring display in one area independently and has higher notification and processing priority for alarms of the key monitoring cameras.
In one embodiment, the basic function management module includes:
the system configuration management unit is used for configuring the system basic information; specifically, the system base information may include video polling switch interval time, server address, alert prompt, and the like.
The role management unit is used for configuring a corresponding role for the user according to the identity information of the user and associating corresponding authority information for the role; specifically, different people have different roles, and different roles are associated with different rights.
The personnel management unit is used for adding users, deleting users, setting basic information of the users and changing roles associated with the users;
the data backup management unit is used for configuring a data backup management strategy and starting and closing a data backup function according to the configured data backup management strategy. In particular, the data backup management policy may be a timed backup or an event-triggered backup.
In one embodiment, the dam security management module comprises:
the dam front water level monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition according to the video pictures to obtain the current dam front water level of the dam, comparing the current dam front water level with a preset water level height alarm threshold value, and generating corresponding water level early warning information when the current dam front water level reaches the preset water level height alarm threshold value;
the dam water inlet floater monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition and feature extraction according to the video pictures to obtain a water inlet floater image of a preset area, calculating a floater coverage area in the water inlet floater image, and generating corresponding floater early warning information when the floater coverage area reaches a preset coverage area warning threshold;
the gate/ecological flow state monitoring unit is used for acquiring video pictures of dam monitoring and carrying out image recognition according to the video pictures to obtain the opening and closing states of the gate of the dam;
the dam face and the mountain condition monitoring units on two sides are used for carrying out image recognition according to the video pictures by collecting the video pictures of dam monitoring, and judging whether the dam face has personnel accumulation, whether the dam face has structures abnormal and whether the mountain on two sides has abnormalities (such as landslide, mud-rock flow and the like) according to the image recognition result;
the multi-dimensional label searching unit is used for carrying out classified searching according to different labels input by a user, selecting a corresponding split screen mode according to the searching result and displaying the searching result; for example, the power station name, the scene name (dam face, dam front water level, gate, ecological flow, etc.), the monitoring name, etc. are classified and searched, and after the search result comes out, the search result can be presented according to the search result in various forms such as 4 split screens, 9 split screens or 16 split screens, etc.
The real-time monitoring image spot broadcasting unit is used for realizing split screen mode switching, picture snapshot, polling switching of displayed images, video playback, double code stream automatic switching and video picture zooming when a user performs image spot broadcasting.
Specifically, in this embodiment, the real-time monitoring image on-demand unit supports window layouts of multiple screen division numbers such as 1, 4, 6, 8, 9, 10, 13, 14, 16, etc., and the user can set the screen division number by using a screen division option button; when a user watches real-time video or video, the user can intercept a required picture through a real-time monitoring image spot broadcasting unit; the user automatically performs polling switching of the current display image according to the time set by the user by setting the automatic switching time and monitoring the image spot broadcasting unit in real time; the real-time monitoring image on-demand unit supports video playback in a real-time monitoring window so as to compare real-time video with video; the real-time monitoring image spot-seeding unit can automatically switch double code streams according to the current network bandwidth, when the network environment is better and the bandwidth is higher, a main code stream with a high code rate is used to obtain a clearer picture, and when the network environment is worse and the bandwidth is low, an auxiliary code stream with a low code rate is used to obtain a smooth picture; the real-time monitoring image on-demand unit supports digital scaling of videos of real-time monitoring and video playback, achieves a zooming function of pictures, and facilitates users to view more picture details.
In one embodiment, the water energy management module comprises:
the water energy information statistical analysis unit is used for carrying out statistical analysis on incoming water flow, power generation water quantity, water discarding quantity, flood discharge quantity, rainfall, water consumption rate and upstream and downstream water levels to form a water energy information statistical analysis report presented in a report form or a curve form;
the generator set load analysis unit is used for calculating the warehouse-in flow according to the warehouse capacity change information and the downward leakage flow, and analyzing and obtaining the generator set recommended load according to the warehouse-in flow, the generator set water content and the generator set actual load;
the lower drainage flow management unit is used for constructing a gate opening-lower drainage flow relation curve, calculating the current ecological flow according to the current water flow, the current gate opening and the gate opening-lower drainage flow relation curve, and generating ecological flow cutoff early warning information according to the calculated previous ecological flow.
In one embodiment, the intelligent warning module is specifically configured to automatically generate real-time warning information according to the early warning information generated by the dam safety management module and the water energy management module, and send the real-time warning information to a preconfigured contact person. The user can also view the historical alarm information at the intelligent alarm module. The alarm interface of the intelligent alarm module is shown in fig. 5.
Specifically, when the water level in front of the dam exceeds the set threshold, a real-time alarm is automatically generated and automatically notified to contacts configured by the system. And when the water inlet floater is identified to exceed the set threshold, automatically generating a real-time alarm and automatically notifying the contact configured by the system. And when the ecological flow is identified to be cut off, automatically generating a real-time alarm and automatically notifying contacts configured by the system. When the gate is opened to discharge flood, but the unit is not fully opened or the output does not reach 95% of the rated output, a real-time alarm is automatically generated and automatically notified to contacts configured by the system. The power generation water consumption rate refers to the amount of water flowing through a water turbine when one kilowatt of power is generated, and for a through-flow type unit, the rated water head is low, so that the influence of the water level of an upstream water level and the water level of a downstream reservoir area is great, and only statistics of the water consumption rate is carried out and no alarm is given; for other hydropower stations with medium and high water heads, the influence of the water level change in a reservoir area on the generating water head of the unit is very slight and can be ignored, so that the water consumption rate index needs to be monitored, and when the generating tax rate exceeds the limit, an alarm is given to help an operator to adjust the unit under a relatively optimal working condition. The intelligent alarm module can detect abnormal personnel aggregation conditions in the monitoring area, and when abnormal conditions are found, the system actively triggers an alarm to avoid safety accidents. The intelligent alarm module also polls the dam industrial television video periodically, the polling period can be flexibly configured according to the needs, and when no response, no video picture and other conditions exist in polling, alarm information is automatically generated and actively pushed to related responsible persons.
The intelligent alarm module also carries out the following alarm according to the early warning information generated by the dam safety management module and the water energy management module:
alarming when water is passed through the surface of the grid of the bottom grid barrier dam power station and the output of the unit does not reach the standard; sending a gate opening instruction, and alarming that the gate opening is incorrect; sending a gate closing instruction, and alarming that the gate opening is incorrect; emergency warning of the water gate; alarming when the front-rear pressure difference of the drain grating of the water intake exceeds a set value; alarming when reaching a heavy storm level (namely, daily rainfall is more than 100 mm); and a plurality of units run simultaneously, and the load rate is lower than a set value to give an alarm.
In one embodiment, the dam security management module further comprises:
and the flood discharge gate downstream water area monitoring unit is used for controlling the plurality of unmanned aerial vehicles to patrol in a preset period before flood discharge according to the received flood discharge early warning information so as to monitor whether people exist in a preset river area range at the downstream of the flood discharge gate, if so, controlling the unmanned aerial vehicles to send flood discharge early warning prompt broadcasting close to target personnel, establishing communication connection with a telecom operator, and sending a flood discharge prompt message or dialing a flood discharge prompt telephone to a user mobile phone in the preset river area range at the downstream of the flood discharge gate through the telecom operator so as to remind the personnel in the preset river area range at the downstream of the flood discharge gate to timely withdraw the flood discharge dangerous area. Therefore, by combining unmanned aerial vehicle inspection with communication connection established with telecom operators, personnel safety in a preset river channel area range of the downstream of the flood discharge gate before flood discharge of the dam is rapidly and efficiently ensured.
The present invention may also be implemented by implementing all or part of the procedures of the methods executed by the modules in the system of the above embodiments, or by instructing the relevant hardware by a computer program, where the computer program may be stored in a computer readable storage medium, and the computer program may implement the steps of the method embodiments when executed by a processor. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a Read-only memory (ROM), a random access memory (RAM, randomAccessMemory), an electrical carrier signal, a telecommunication signal, a software distribution medium, and so forth. It should be noted that the computer readable medium contains content that can be appropriately scaled according to the requirements of jurisdictions in which such content is subject to legislation and patent practice, such as in certain jurisdictions in which such content is subject to legislation and patent practice, the computer readable medium does not include electrical carrier signals and telecommunication signals.
Those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An intelligent management system of a hydropower station is characterized by comprising a basic function management module, a dam safety management module, a water energy management module and an intelligent alarm module which are mutually coupled, wherein,
the basic function management module is used for managing basic information, roles, personnel and data backup of the system;
the dam safety management module is used for performing dam front water level monitoring, dam water inlet floater monitoring, gate/ecological flow state monitoring, dam face and two-side mountain condition monitoring, multidimensional label retrieval and real-time image broadcasting monitoring management;
the water energy management module is used for managing water energy information, generator set load and discharging flow;
the intelligent alarm module is used for alarming the water level in front of the dam, floating objects at the water inlet, ecological flow, unit output conditions, power generation and water consumption rate, personnel conditions in a monitoring area and abnormal conditions of camera use.
2. The intelligent hydropower station management system of claim 1, further comprising an auxiliary decision module for automatically generating auxiliary decision advice based on real-time monitoring data of the hydropower station.
3. The intelligent hydropower station management system according to claim 2, further comprising a system self-checking module for monitoring the working states of a server, a communication network, a storage device, a computing resource and a camera of the system, and starting a preset abnormal situation processing strategy when an abnormal situation is detected.
4. A hydropower station intelligent management system according to claim 3, wherein the basic function management module comprises:
the system configuration management unit is used for configuring the system basic information;
the role management unit is used for configuring a corresponding role for the user according to the identity information of the user and associating corresponding authority information for the role;
the personnel management unit is used for adding users, deleting users, setting basic information of the users and changing roles associated with the users; and
the data backup management unit is used for configuring a data backup management strategy and starting and closing a data backup function according to the configured data backup management strategy.
5. The intelligent hydropower station management system according to claim 1, wherein the dam safety management module includes:
the dam front water level monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition according to the video pictures to obtain the current dam front water level of the dam, comparing the current dam front water level with a preset water level height alarm threshold value, and generating corresponding water level early warning information when the current dam front water level reaches the preset water level height alarm threshold value;
the dam water inlet floater monitoring unit is used for acquiring video pictures of dam monitoring, carrying out image recognition and feature extraction according to the video pictures to obtain a water inlet floater image of a preset area, calculating the floater coverage area in the water inlet floater image, and generating corresponding floater early warning information when the floater coverage area reaches a preset coverage area warning threshold;
the gate/ecological flow state monitoring unit is used for acquiring video pictures of dam monitoring and carrying out image recognition according to the video pictures to obtain the opening and closing states of the gate of the dam;
the dam face and two-side mountain condition monitoring unit is used for carrying out image recognition according to the video pictures by collecting the video pictures monitored by the dam, and judging whether the dam face has personnel accumulation, whether the dam face has structures abnormal and whether the two-side mountain is abnormal according to the image recognition result;
the multi-dimensional label searching unit is used for carrying out classified searching according to different labels input by a user, selecting a corresponding split screen mode according to the searching result and displaying the searching result; and
the real-time monitoring image spot broadcasting unit is used for realizing split screen mode switching, picture snapshot, polling switching of displayed images, video playback, double code stream automatic switching and video picture zooming when a user performs image spot broadcasting.
6. The intelligent hydropower station management system according to claim 5, wherein the water energy management module comprises:
the water energy information statistical analysis unit is used for carrying out statistical analysis on incoming water flow, power generation water quantity, water discarding quantity, flood discharge quantity, rainfall, water consumption rate and upstream and downstream water levels to form a water energy information statistical analysis report presented in a report form or a curve form;
the generator set load analysis unit is used for calculating the warehouse-in flow according to the warehouse capacity change information and the downward leakage flow, and analyzing and obtaining the generator set recommended load according to the warehouse-in flow, the generator set water content and the generator set actual load; and
the lower drainage flow management unit is used for constructing a gate opening-lower drainage flow relation curve, calculating the current ecological flow according to the current water flow, the current gate opening and the gate opening-lower drainage flow relation curve, and generating ecological flow cutoff early warning information according to the calculated previous ecological flow.
7. The intelligent hydropower station management system according to claim 6, wherein the intelligent warning module is specifically configured to automatically generate real-time warning information according to the early warning information generated by the dam safety management module and the hydropower station management module, and send the real-time warning information to a preconfigured contact.
8. The intelligent hydropower station management system according to claim 2, wherein the auxiliary decision module comprises:
the optimal operation suggestion generation unit is used for generating a current optimal operation suggestion according to real-time monitoring data of the hydropower station and a pre-constructed expert knowledge base model, wherein the real-time monitoring data at least comprises water level, warehouse-in flow, power generation reference flow, discharging flow, generator set operation state number and gate opening, and the current optimal operation suggestion at least comprises the current optimal generator set output number;
the alarm statistics unit is used for classifying and statistically analyzing the history alarm records to form a visual report form and carrying out transverse comparison;
the dangerous case level management unit is used for grading dangerous case levels of reservoirs, dams, hydropower station production processes and hydropower station perimeters, automatically judging the dangerous case levels according to monitoring data, determining a release range and outputting corresponding response information;
the storage capacity information prompting unit is used for calculating current storage capacity information according to the current water level and a pre-constructed storage capacity-water level curve and outputting corresponding storage capacity prompting information according to the current storage capacity information;
the abnormal water discarding prompting unit is used for judging whether the water is abnormally discarded according to the current gate opening, the gate opening-downward drainage flow relation curve, the warehouse-in flow, the unit power generation reference flow and the running state of the generator unit, and outputting corresponding abnormal water discarding prompting information if the water is abnormally discarded; and
the power generation power prompting unit is used for calculating the current power generation power according to the current unit power generation reference flow and a pre-constructed reference flow-power generation power relation curve.
9. The intelligent hydropower station management system according to claim 5, wherein the dam safety management module further comprises:
a flood discharge gate downstream water area monitoring unit for controlling the plurality of unmanned aerial vehicles to patrol in a preset period before flood discharge according to the received flood discharge early warning information so as to monitor whether people exist in a preset river area range downstream of the flood discharge gate, if so,
and controlling the unmanned aerial vehicle to send a flood discharge early warning prompt broadcast close to a target person, establishing communication connection with a telecom operator, and sending a flood discharge reminding short message or dialing a flood discharge reminding telephone to a user mobile phone within a preset river channel region range at the downstream of the flood discharge gate through the telecom operator so as to remind the person within the preset river channel region range at the downstream of the flood discharge gate to withdraw the flood discharge dangerous region in time.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117185376A (en) * | 2023-09-12 | 2023-12-08 | 河北省水利工程局集团有限公司 | River course's treatment system |
| CN117855107A (en) * | 2024-03-06 | 2024-04-09 | 上海朋熙半导体有限公司 | Water system monitoring and processing method, system and readable medium |
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117185376A (en) * | 2023-09-12 | 2023-12-08 | 河北省水利工程局集团有限公司 | River course's treatment system |
| CN117185376B (en) * | 2023-09-12 | 2024-04-26 | 河北省水利工程局集团有限公司 | River course's treatment system |
| CN117855107A (en) * | 2024-03-06 | 2024-04-09 | 上海朋熙半导体有限公司 | Water system monitoring and processing method, system and readable medium |
| CN117855107B (en) * | 2024-03-06 | 2024-06-11 | 上海朋熙半导体有限公司 | Water system monitoring and processing method, system and readable medium |
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