833 results about "Emergency control" patented technology

The invention relates to the technical field of energy storage systems, in particular to a source network load storage coordination control method for multi-configuration network type energy storage coordination operation. According to the technical scheme, the source-network-load-storage coordinated control method for multi-construction-network-type energy storage coordinated operation comprises the following steps: generating a new energy output and load change trend through a dynamic prediction model based on historical power data, real-time load requirements and meteorological information; optimization is carried out to obtain a power generation plan containing a clean energy consumption target and economical efficiency constraints; decomposing the power generation plan into a photovoltaic power adjusting instruction, an energy storage charging and discharging instruction and a load control instruction according to the power grid safety priority, wherein the emergency control instruction is executed prior to the economic dispatching instruction; and controlling parallel operation of a plurality of pieces of networking type energy storage equipment, and realizing multi-machine power distribution and circulating current suppression through a virtual synchronous control technology. And through layered optimization scheduling and multi-machine cooperative control, the new energy consumption capability is remarkably improved, and the phenomenon of abandoning light and wind is reduced.

The invention provides an edge calculation traffic light emergency control method and device for a sudden traffic event. The method comprises the following steps: acquiring real-time traffic flow information of a target intersection; determining an emergency response area of the target intersection based on the position identifier of the sudden traffic event, and extracting a dynamic offset between a historical traffic flow feature and a current traffic flow feature in the emergency response area through an edge computing node; inputting the dynamic offset into a pre-trained traffic signal adaptive model, generating a traffic signal lamp control parameter set corresponding to the emergency response area, and sending a control instruction sequence to the traffic signal lamp of the target intersection according to the traffic signal lamp control parameter set, and the execution priority of the control instruction sequence is dynamically adjusted based on the real-time change trend of the vehicle density distribution data and the pedestrian movement track data. According to the invention, the intersection passing efficiency and the safety guarantee capability of traffic participants under the sudden traffic event can be improved.

The invention discloses an expressway emergency management and control method and system, and the method comprises the steps: building a multi-dimensional heterogeneous data fusion model through a time-space diagram neural network according to the traffic flow, meteorological data and accident reports collected by roadside sensing equipment, and carrying out the dynamic prediction of the risk level of a road segment, and obtaining a real-time risk level map of a whole road network; based on the real-time risk level map, outputting a dynamic shunting scheme containing variable lane marks and a speed limiting strategy; according to the dynamic shunting scheme, generating a vehicle trajectory optimization strategy; and outputting an anti-interference optimization control strategy based on a vehicle trajectory optimization strategy in combination with sudden obstacle data polled by the unmanned aerial vehicle in real time. According to the embodiment of the invention, rapid and accurate path adjustment and cooperative control can be carried out, and the emergency management level of the expressway is improved.

The invention discloses an offshore platform emergency control method based on a Beidou satellite system and related equipment, and relates to the technical field of Beidou satellites.The offshore platform emergency control method based on the Beidou satellite system comprises the steps that Beidou satellite time service signals and real-time meteorological data are obtained, the method comprises the following steps: synchronously acquiring structural deformation parameters, marine environment dynamic parameters and personnel positioning information of an offshore platform, and constructing multi-dimensional data of the offshore platform; fusing and analyzing the multidimensional data of the offshore platform, extracting space-time correlation characteristics through a pre-trained dynamic risk prediction model, constructing a multi-factor causal chain, and determining a platform risk level and accident type prediction result; and triggering graded emergency response according to the accident type prediction result, encrypting and transmitting a corresponding early warning instruction to a preset terminal through a Beidou short message, and executing a corresponding emergency control method. According to the invention, risk prediction and emergency response are carried out through the multi-dimensional data of time-space synchronization, so that the offshore platform can carry out timely emergency control.

The invention belongs to the technical field of digital twinning, and discloses a hydraulic engineering-oriented digital twinning model dynamic construction and risk assessment method, which comprises the steps of dividing a hydraulic engineering into a static basic component area and a dynamic response area, accessing historical hydraulic engineering data, combining BIM and a finite element analysis technology, and carrying out dynamic construction and risk assessment on a digital twinning model. Constructing a structure model of the static basic component area and an agent model of the dynamic response area; combining the structured model with the proxy model to obtain the hydraulic digital twin; state data in the water conservancy digital twinborn body operation process are collected, and a twinborn state sequence is generated; constructing a water conservancy semantic map, and carrying out semantic binding on the water conservancy digital twin, the real-time water conservancy data and the control logic; dynamically updating a twinning state sequence when the node state of the water conservancy semantic map changes by adopting an event-driven strategy; and the response time efficiency and the emergency regulation and control capability of the water conservancy project are further improved.

The invention relates to an intelligent safety protection management method and system. The method comprises the following steps: acquiring behavior data and position data of personnel in an industrial site; analyzing the behavior data and the position data by using a pre-trained personnel behavior model to obtain a behavior recognition result; according to the behavior recognition result and the current operation state of the target equipment, judging a risk level corresponding to the personnel behavior; based on the risk level, a corresponding safety response strategy is matched in the edge computing node, a control instruction is generated according to the safety response strategy, and the control instruction is used for driving the target device to execute a corresponding response action; and the voice interaction module is used for acquiring voice input of an on-site operator, performing semantic recognition on the voice input to obtain a voice recognition result, and executing corresponding emergency control operation to cover a current control instruction when the voice recognition result meets a preset emergency instruction condition. The method has the effect of improving the accuracy of intelligent safety management in the industrial environment.

The invention belongs to the technical field of unmanned aerial vehicle flight control, and particularly relates to an unmanned aerial vehicle intelligent dynamic obstacle avoidance method and system based on ultrasonic frequency self-adaption. The method comprises the following steps: 1, monitoring the position and distance of a static obstacle in real time, and adjusting the ultrasonic emission frequency; the neighborhood environment of the unmanned aerial vehicle is detected in real time through barometer equipment, the attitude, acceleration and angular velocity of the unmanned aerial vehicle are provided through an inertial sensor, and data are preprocessed after the surrounding environment of the unmanned aerial vehicle is comprehensively sensed; 2, performing a dual-stage mode of offline training and online updating through CNN-AE and LSTM decision engines, generating an obstacle avoidance path, and dynamically adjusting a flight strategy according to a real-time environment; 3, adaptively adjusting the reward weight according to the obstacle distance through a dynamic priority reward function, and guiding the unmanned aerial vehicle to make an optimal decision and path optimization in the flight process; and 4, through an emergency control module, triggering a local decision based on a Q value table when communication is interrupted, and ensuring that the unmanned aerial vehicle can still fly safely under an abnormal condition.

The invention discloses a self-adaptive control method for operation of a coupler unhooking robot under multiple working conditions, and relates to the technical field of coupler unhooking, and the method comprises the steps: obtaining a target unhooking robot, and collecting and obtaining an operation environment data flow and a coupler state data flow; working condition sensing and coupler recognition are conducted, and the current working condition and coupler feature information are obtained; performing traversal retrieval and adaptive adjustment in the unhooking strategy database, and determining target unhooking strategy parameters; and executing unhooking operation according to the target unhooking strategy parameters, and performing adaptive closed-loop control and abnormal emergency control on the target unhooking robot based on the unhooking operation state data flow. The technical problems that in the prior art, a car coupler unhooking robot is difficult to adapt to complex and various working conditions, and consequently the unhooking operation accuracy, safety and efficiency are poor are solved, accurate sensing of the working conditions of the car coupler unhooking robot is achieved, and the technical effect of improving the unhooking operation accuracy, safety and efficiency is achieved.

The invention provides a coordination control method and device for off-grid new energy hydrogen production, electronic equipment and a medium, and relates to the technical field of new energy hydrogen production. The coordination control method for off-grid new energy hydrogen production comprises the following steps: performing first coordination control on off-grid new energy hydrogen production based on a steady-state control mode under the condition that the actually measured current frequency of a system is within an adjustment dead zone range; under the condition that the current frequency of the system is not in the adjustment dead zone range, performing second coordination control based on the transient state control mode; after the second coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, third coordination control is carried out on off-network new energy hydrogen production based on the emergency control mode; and after the third coordination control, under the condition that the current frequency of the system is not in the adjustment dead zone range, determining a to-be-cut power value of off-grid new energy hydrogen production according to an overcut principle. According to the method, the load adjusting characteristic of the hydrogen production electrolytic cell is considered, source-load interaction is achieved, and the absorption rate of new energy is increased.

The invention discloses an intelligent emergency control system of an arrangement ship steering oar, and belongs to the technical field of arrangement ship steering oar control. An intelligent emergency control system of an arrangement ship steering oar comprises a main control module, a steering oar driving module and a steering oar control module. The problem that in the prior art, when a main steering system breaks down, a ship is prone to being out of control, colliding or other safety accidents are caused is solved, the steering oar driving module is used for conducting driving operation on the arrangement ship steering oar in an emergency mode, the state of the arrangement ship steering oar is monitored in real time, and the safety of the arrangement ship steering oar is improved. When potential problems and fault trends exist in the arrangement ship steering oar, a control instruction of the arrangement ship steering oar is adjusted so as to ensure safe operation of the arrangement ship steering oar, quick response can be made and an emergency mode can be started in emergency, dangerous situations such as out-of-control of the ship can be effectively avoided, remote monitoring and management can be achieved, and the safety of the arrangement ship steering oar is improved. Safety and management efficiency of the ship are improved, and safe driving of the ship is effectively guaranteed.

The present invention belongs to the field of smart power grids and power system automation control. Disclosed is a load emergency control method based on a dynamic event triggering mechanism, which method comprises: on the basis of an indicator of safe operation of a system, performing region division on a distribution network; proposing an adaptive load level division method based on user response willingness, and by taking the minimization of the system operation cost of the distribution network as an objective, establishing a precise load control model of the distribution network; and using a dynamic event triggering mechanism to reduce communication between substations and a master station of the distribution network, so as to realize effective exchange and precise execution of load control policy information. The method of the present invention can precisely realize precise control of a load, and can effectively alleviate communication transmission pressure of a distribution network, thereby ensuring the stability of a power grid and the continuous supply of critical loads.

The invention belongs to the field of unmanned aerial vehicle emergency control systems, and relates to a risk identification and emergency method when an unmanned aerial vehicle flies in an airspace adjacent to an expressway, and the method comprises the steps: obtaining the balance state of the unmanned aerial vehicle through constructing a six-degree-of-freedom dynamic model and incorporating environmental factors and control intentions; dynamically comparing the balance state with real-time data to obtain a state deviation, deducing the fault probability of the unmanned aerial vehicle according to the state deviation, and realizing sensitive early warning of possible faults of the unmanned aerial vehicle; besides, the method constructs a double-layer linkage framework of an electromagnetic safety boundary and a physical safety boundary, realizes safety risk identification in combination with a fault probability, and ensures that a safety area between the unmanned aerial vehicle and a motorcade on a highway can be represented by a risk value along with speed, motorcade density and interference intensity; the fault probability of the unmanned aerial vehicle flying in the air is considered, when the fault probability is larger than a preset threshold value, the out-of-control state of the unmanned aerial vehicle is judged, a corresponding control strategy is adopted, and the flight safety of the unmanned aerial vehicle during partial or comprehensive out-of-control is guaranteed.

The invention relates to the technical field of coal mining equipment, and discloses a mining roadway stability real-time monitoring and early warning system which comprises the following steps: S1, multi-source sensor network deployment, S2, data transmission and preprocessing, S3, stability index dynamic calculation, S4, fusion early warning model construction and S5, graded early warning triggering. Roadway surrounding rock deformation, stress, vibration and environmental parameters are collected in real time through a multi-source sensing network, efficient data transmission and preprocessing are achieved in combination with an industrial looped network, surrounding rock strain energy density, displacement convergence rate, support failure coefficient and other key indexes are dynamically calculated, a fusion early warning model is constructed based on machine learning, and the early warning accuracy is improved. According to the method, accurate evaluation of the stability level is achieved, grading alarm and emergency control are automatically triggered when a threshold value is reached, a'perception-analysis-decision-response 'closed loop is formed through the design, the real-time performance of roadway stability monitoring and the early warning reliability are remarkably improved, and accidents such as roof fall and wall caving are effectively prevented.

The invention discloses a reaction condition optimization control method and system for biological aviation kerosene production, and particularly relates to the field of biological aviation kerosene production. The method comprises the following steps: firstly, acquiring parameters such as temperature, pressure, flow, catalyst activity and raw material components of biological aviation kerosene in real time through a sensor module consisting of a temperature sensor, a pressure sensor, a flow sensor and the like, and then carrying out pretreatment operations such as median filtering and wavelet denoising on acquired data; constructing an LSTM-Transformer hybrid model based on the preprocessed data to predict the second-by-second value of each parameter in the future 10 minutes, correcting the predicted value according to a catalyst activity index formula, further optimizing the prediction model by using a shadow model, comparing the predicted value with a preset interval and a threshold value, judging the state of the predicted value, and determining the second-by-second value of each parameter in the future 10 minutes. And finally, generating a fixed fine-tuning, strengthening or emergency control strategy according to a judgment result. According to the method, the biological aviation kerosene production reaction conditions can be accurately predicted, regulated and controlled, and the production stability, safety and product quality are improved.

The invention discloses a source network load storage coordination control system and method for high-capacity multi-network energy storage combined transportation. The system comprises a master station layer which is responsible for receiving a superior scheduling instruction, issuing an emergency control instruction, and performing economic optimization scheduling and rapid coordination control on photovoltaic and energy storage resources; the substation layer is responsible for accessing photovoltaic, load and energy storage resource information and decomposing and issuing superior instructions to realize a local frequency voltage control function; and the terminal layer is used for receiving a generator tripping command or a power regulation command issued by the emergency state monitoring device. The system can effectively improve the network-related performance of a new energy station, enhance the stability and reliability of a power grid, improve the absorption capability of new energy, and optimize the economical efficiency of the system. Through combined operation of the network construction type energy storage equipment and the new energy, effective support for the power grid is realized, the problem of coordination control of parallel operation of multiple voltage sources is solved, oscillation and circulation are avoided, and the overall performance and the power supply guarantee capability of the system are improved.

The invention discloses an injection molding machine fault emergency safety protection control system, which belongs to the technical field of fault emergency processing, and comprises a sensor system, an intelligent data analysis module, a self-adaptive emergency control unit, an alarm and display module and a safety protection module. The sensor system collects operation data of key components of the injection molding machine in real time; the intelligent data analysis module performs data analysis and fault diagnosis by using machine learning; the self-adaptive emergency control unit automatically adjusts parameters according to a diagnosis result, and emergently stops or recovers equipment operation; the alarm and display module sends an alarm signal in time and displays related information; the safety protection module guarantees the safety of equipment and personnel through an emergency braking sub-module, a protective fence sub-module, a fire alarm sub-module, a fire extinguishing sub-module and the like. All the modules work cooperatively, faults are effectively monitored and diagnosed, safe and stable operation of the injection molding machine is ensured, the production efficiency is improved, and the occurrence probability of safety accidents is reduced.

The invention relates to the technical field of intelligent monitoring, in particular to a hydraulic engineering operation state monitoring method and system. The method comprises the following steps: monitoring corresponding water conservancy dam body stress-strain data, water conservancy dam body osmotic pressure data, water gate opening position data, water area water level data and water area flow velocity data in real time; the method comprises the following steps: acquiring regional meteorological data and regional landform data corresponding to the periphery of a water conservancy project, carrying out dam body displacement analysis and sluice opening statistics, and meanwhile, carrying out water area potential influence mining analysis to obtain corresponding meteorological potential factors and landform potential factors; and performing water conservancy operation risk monitoring and emergency early warning control on the operation facilities corresponding to the water conservancy project based on the water conservancy dam body seepage displacement and the water conservancy gate opening degree in combination with the meteorological potential factors and the terrain potential factors corresponding to the water area of the water conservancy project so as to generate an operation state emergency control plan corresponding to the water conservancy project. The overall operation level of the water conservancy project can be improved.

The invention relates to the technical field of electric power system control, and discloses an emergency control coordination method for power angle stability of an electric power system and related equipment, and by obtaining time domain simulation data of a system test fault and constructing a power angle stability margin, early warning can be performed before the power angle of the system is unstable. The early warning mechanism is helpful for taking measures in advance and preventing the system from entering an unstable state. And when the power angle of the system is indeed unstable, the effects of different control measures can be quickly predicted through the constructed power angle stable sample set and the trained convolutional neural network model, so that quick response is realized, and measures are taken. By constructing the emergency control optimization model considering the control sensitivity, the effects and the sensitivity of various control measures can be comprehensively considered, so that the optimal emergency control strategy is determined, and the control on the system stability is effectively improved according to the optimal emergency control strategy.

The invention discloses a data interaction self-adaptive method for a photovoltaic protocol converter, and particularly relates to the technical field of power grid dispatching cooperative control. The method comprises the following steps: monitoring and calculating a voltage instantaneous change rate of a grid-connected point of a power grid in real time, and comparing the voltage instantaneous change rate with a threshold value; when a threshold value is exceeded, synchronously collecting a current phase and generating a voltage and current phase difference change direction; extracting a voltage high-frequency component, analyzing frequency band energy distribution through wavelet packet decomposition, and calculating a Shannon entropy representing an energy concentration ratio; when the phase difference change direction accords with a preset power grid short-circuit fault feature and the Shannon entropy value is lower than a preset entropy threshold value, determining that a power grid transient event occurs; at the moment, a data caching mechanism of the protocol converter is stopped immediately, and a real-time stream transmission channel is activated; an emergency control instruction issued by a power grid dispatching system is directly transmitted to the photovoltaic inverter through the channel; and when the voltage instantaneous change rate is continuously lower than the preset threshold value for a preset duration, recovering the data caching mechanism of the protocol converter.

The invention provides a substation environment monitoring inspection control system and method, and relates to the technical field of power system monitoring. Comprising a holographic sensing subsystem and a data fusion control subsystem. The holographic sensing subsystem collects substation environment and equipment state data in real time and comprises a non-contact optical fiber sensor, a temperature and humidity sensor, a gas concentration sensor, an infrared camera, an ultraviolet camera, a visible light camera and a millimeter wave radar. The data fusion control subsystem carries out redundancy elimination, complementation and standardization processing on collected data, the intelligent analysis module carries out state analysis and fault prediction based on fused data, and the control instruction generation module generates an emergency control instruction according to an analysis result to realize closed-loop feedback control; the system improves the monitoring accuracy and response speed of the transformer substation through multi-sensor data fusion and intelligent analysis.

The invention relates to the technical field of underground coal mine safety, and discloses an underground coal mine early warning system and method. The method comprises the following steps: collecting multidimensional monitoring data of an underground coal mine environment; performing dynamic window division on the multi-dimensional monitoring data to generate a data fragment set; performing abnormal mode recognition based on the data fragment set, and extracting abnormal feature points exceeding a dynamic threshold in each data fragment; inputting the abnormal feature points into a pre-constructed space-time correlation model, and analyzing diffusion paths of the abnormal feature points in a time dimension and a space dimension; according to the diffusion path, generating an abnormal propagation map containing the propagation direction and the intensity attenuation gradient of the abnormal feature points; hierarchical clustering is carried out on the abnormal propagation atlas, and abnormal clusters with similar propagation characteristics are divided; generating an early warning signal containing a priority label by using the spatial and temporal distribution characteristics of the abnormal cluster; performing synchronous verification on the early warning signal and underground equipment state data, and screening out a target early warning signal needing to be responded; and triggering a corresponding emergency control instruction according to the target early warning signal.

The invention discloses a bidirectional self-adaptive inertia control method and device for an interconnected converter, and the method comprises a voltage source converter structure, a bidirectional inertia control method and self-adaptive inertia coefficient set.The bidirectional self-adaptive inertia control method and device are suitable for an AC-DC hybrid micro-grid so as to balance AC micro-grid frequency and DC micro-grid voltage dynamic response. Virtual synchronous motor control is adopted as a control outer ring to realize power adjustment and emergency control mode switching, an additional virtual capacitor control ring is designed to suppress the influence of high-frequency interference on a differential element, and the method can enable an IC to adjust a working mode to operate in a rectification or inversion state under a self-adaptive operation condition, so that the reliability of the IC is improved. The strategy enables the interconnection converter to smoothly adapt to three operation modes of grid connection, island power adjustment and island emergency control, thereby balancing the dynamic response characteristics of the two modes after disturbance, and achieving the improvement of the overall performance of the AC / DC micro-grid.

The invention relates to the technical field of transient frequency and emergency control, in particular to a power grid transient frequency emergency control method, device and equipment based on reinforcement learning, and the method comprises the steps: obtaining the current operation data of a power grid if the power grid is in a fault state; and inputting the current operation data to a target transient frequency emergency control model, so as to obtain an actual emergency control strategy from a plurality of emergency control strategy tables in the target transient frequency emergency control model through matching, the target transient frequency emergency control model being based on a power grid fault data sample, training by using a preset improved depth deterministic strategy gradient algorithm; and performing emergency stability control on the transient frequency of the power grid according to the actual emergency control strategy. Therefore, the problem of frequency fluctuation caused by large-scale power grid disturbance is solved, the reliability and economical efficiency of stable operation of the power grid are improved, generator tripping and load shedding online real-time emergency control strategies are quickly and accurately generated, and quick recovery of transient frequency stability after a fault is achieved.

The invention relates to the technical field of data perception control, and provides a building user big data and AI perception combined intelligent elevator automatic control method, which comprises the following steps: deploying a distributed network at a building, obtaining elevator perception data, encrypting, fusing and partitioning the elevator perception data, and obtaining a building user big data and AI perception combined intelligent elevator automatic control system. Feature extraction is carried out based on federated learning of secure multi-party calculation, and fused perception features are generated; a space-time diagram is constructed according to fused sensing features, elevator taking demand modes of different building types in different scenes are learned and predicted through a space-time diagram convolutional neural network and a generative adversarial network, operation areas are flexibly divided based on the building types and the scenes, and operation routes are dynamically planned through a partition scheduling strategy. The cross-regional collaborative scheduling of the elevator is realized; and elevator abnormal states including passenger overload, abnormal behaviors, elevator car environment abnormity and the like are detected in real time according to the fused sensing data, multi-stage abnormity classification is carried out, and a corresponding emergency control strategy is triggered based on a classification result.

The present application provides a decision-making method and system for emergency frequency control optimization in an off-grid process of a power distribution system, and relates to the technical field of frequency control of the power distribution system. An average system frequency response model of the power distribution system is established; a frequency deviation is approximated as a quadratic function under a reasonable assumption that an increase in active power generation of the system increases approximately linearly with time, to perform open-loop processing on the frequency response model, so as to obtain an open-loop model; decisions are made on control quantities of fast power control resources within the power distribution system, and an emergency frequency control optimization model of the power distribution system is established; and the emergency frequency control optimization model is solved to obtain a decision-making emergency control scheme with a minimum cost of emergency control measures.

The invention discloses a power grid air-ground cooperative emergency control system and method based on unmanned aerial vehicle multi-agent reinforcement learning, and belongs to the technical field of power system emergency control and intelligent cooperation. Comprising the following steps: a central coordination unit obtains a voltage state and a load importance degree of a power grid node and a position, energy and a communication state of an unmanned aerial vehicle cluster in real time, an emergency priority node is identified based on voltage recovery deviation and communication link quality, dynamic clustering is carried out, and a comprehensive communication demand priority of each node cluster is calculated; according to the method, the strong coupling optimization problem of power grid voltage recovery and emergency communication guarantee in a disaster environment is solved, the power supply reliability, the communication connectivity and the emergency response efficiency of the system are improved, the energy utilization of the unmanned aerial vehicle is optimized at the same time, and the energy utilization rate of the unmanned aerial vehicle is improved. The method is suitable for rapid recovery and cooperative scheduling of key infrastructures in extreme scenes such as earthquakes and typhoons.

The invention relates to the technical field of coal underground gasification control, in particular to a stable control method for the gasification process of deep coal passing through dirt band. The gas pressure distribution data and the pore change characteristic data of the deep coal gasification area are collected in real time through the distributed sensor array, the gas dynamic correction permeability is generated, the gas injection pressure is adjusted and dynamically corrected according to the gas dynamic correction permeability, and the gas pressure is kept stable; screening a potential risk area through a main stress direction deviation angle and a stress concentration coefficient in the dirt band layer, analyzing a shear stress threshold value of the potential risk area based on a stress-strain coupling model, and judging a stability evaluation index of the potential risk area; and when the stability evaluation index is lower than a threshold value, a multi-stage emergency regulation and control mechanism is triggered, and a dirt band layer reinforcement intervention scheme is generated. By means of multi-source data fusion and a dynamic feedback mechanism, the limitation of a traditional method for lagging response of the instability risk of the dirt band layer is broken through, and full-closed-loop intelligent stable control over the gasification process is achieved.

The invention relates to the technical field of sewage treatment automatic control, and discloses a control system for a sewage treatment plant, which comprises a multi-modal biosensing module, the multi-modal biosensing module is deployed in an anaerobic zone and an aerobic zone of a biochemical reaction tank, and a cloud edge collaborative data processing module comprises an edge calculation module and a cloud optimization platform. The edge calculation module preprocesses data collected by the multi-mode biosensing module and executes emergency control, the cloud optimization platform operates the multi-target dynamic optimization module and the digital twin model, and the self-adaptive decoupling controller receives control parameters output by the multi-target dynamic optimization module. By deploying the multi-modal biosensing modules in the anaerobic zone and the aerobic zone, the real-time acquisition of biochemical reaction parameters of each zone along the way is realized, and the microbial metabolic activity change in the biological reaction process can be accurately captured in combination with the pretreatment of the edge calculation module and the analysis of the cloud optimization platform.

The invention provides a novel power system multi-type resource coordination control method and system. The method comprises the steps that energy storage optimization arrangement of voltage stability of a novel power system and photovoltaic unit layout optimization arrangement are completed; after the optimization arrangement is completed, constructing a voltage stability index for capturing voltage fluctuation and safety margin in the system by utilizing approximate characteristics of a power flow Jacobian determinant; according to the voltage stability index, energy storage working state classification when the novel electric power system needs emergency control is judged, and output power control under different working states is determined; and load shedding parameters are calculated according to output power control in different states, and multi-type resource coordination control is realized by adopting a main-distribution layered emergency control strategy. Based on the method, the invention further provides a novel power system multi-type resource coordination control system. According to the method, the problem of fluctuation of the system after large-scale photovoltaic access is effectively solved through coordinated control of multiple transformer areas, and the stability and the recovery capability of the power grid are enhanced.

The invention discloses a tension leg type offshore wind power platform and a tendon dynamic balance adjusting method.The wind power platform comprises a center stand column, side buoys, a floating bridge and tendons, a plurality of ballast tanks are arranged in the floating bridge and the side buoys, and a plurality of emergency water inlets are formed in the bottom of the floating bridge and the tops and the bottoms of the side buoys; a ballast tank communicating opening which can be selectively communicated with the buoy ballast tank is formed in the lower part of the floating bridge ballast tank close to the buoy; and a ballast system is arranged in each ballast tank, and the ballast systems can be used for carrying out pressure discharge on the ballast tanks or selectively transferring water in any ballast tank to other ballast tanks. The internal ballast can be selectively adjusted through a natural flowing mode and / or a mechanical mode based on the tendon tension, the tendon failure position and the tendon failure number can be judged, an emergency control strategy is formulated according to the tendon failure condition, the service life of a mooring system is prolonged, and the safety of the mooring system is improved. And the self-storage performance of the tension leg platform can be improved when the mooring system breaks down.