323 results about "Emergency control" patented technology

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 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 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 discloses a power system cascading failure chain modeling and blocking method, device and system considering source-load double-end uncertainty, and a medium. The method comprises the steps of constructing source-load uncertainty input distribution (wind power introduces Weibull distribution based on a wind speed segmented power model, photovoltaic introduces Beta distribution based on an irradiance output model, and a load side introduces a normal distribution fluctuation model); an MSFF method is adopted to construct a unified source-load stochastic power flow model, and a multi-scene power flow state set is obtained; introducing a power flow out-of-limit criterion and a hidden fault probability function, building a cascading fault propagation model fusing wind-solar load uncertainty, and dynamically simulating fault chain evolution; and formulating a staged collaborative blocking strategy (cutting off non-critical load emergency control, quickly responding a battery energy storage system and dynamically adjusting a critical line protection constant value) to realize real-time fault suppression. Simulation shows that the method is suitable for power system security defense in a high-proportion new energy penetration scene, and has good engineering adaptability and dynamic control performance.

The invention discloses a multi-modal deep reinforcement learning gas leakage decision optimization method based on optical flow, and the method comprises the steps: carrying out the constraint and correction based on a pixel motion field in combination with wind speed estimation, and obtaining an optical flow reconstruction wind field; based on plume probability distribution, combining with an image intensity and radiation transmission model, obtaining concentration field estimation, fusing gas concentration data and an optical flow reconstruction wind field, and forming full-field state description; establishing a convective diffusion model, predicting the concentration field at the next moment through the convective diffusion model based on the full-field state, establishing a convective diffusion model, and predicting the concentration field at the next moment through the convective diffusion model based on the full-field state. According to the technical scheme of the invention, the dynamic evolution precision of gas leakage can be effectively improved by introducing the wind field reconstruction method of the optical flow and the scatter-free constraint, the prediction stability is improved, the physical consistency of the wind field and the concentration distribution is ensured, and stronger data support is provided for emergency control.

The invention discloses an emergency control method and an emergency control system considering network construction type energy storage power fast regulation, and belongs to the technical field of power systems and automation thereof. Operation information of a tie line is collected in real time, energy storage adjustable capacity is evaluated, when it is detected that the tie line is broken due to a fault, power vacancy is calculated based on an equal-capacity cutting-off principle, and the energy storage power fast regulation is completed. For a power receiving system, network construction type energy storage is preferentially called to carry out power fast adjustment, and load removal is carried out cooperatively when the energy storage capability is insufficient; and for a power delivery system, the new energy unit with the corresponding capacity is directly cut off. Through issuing a power adjusting instruction and an emergency control instruction, energy storage is driven to execute large-step fast adjustment and self-response fine adjustment, and finally fast and stable operation of the isolated network is realized. According to the method, the problem of frequency stability when the high-proportion new energy is connected to the isolated grid for operation is effectively solved, and the toughness and the safe operation level of the high-proportion new energy connected to the grid are remarkably improved.

The invention relates to the technical field of power system operation and control, in particular to a safety operation and maintenance scheduling device and method for a wind, light and storage integrated system, and the device comprises a field sensing unit which is used for collecting the real-time operation data of wind, light and storage equipment; the edge calculation and autonomous control unit is used for local data processing, short-time prediction and emergency control when communication is abnormal or a safety index is out of limit; the central optimization and safety management platform is used for fusing and standardizing the data, evaluating the safety state of the system based on a double-domain safety redundancy index, evaluating energy storage life consumption through a coupling model, generating a scheduling instruction considering economical efficiency, safety and life by adopting opportunity constraint optimization, and sending the scheduling instruction to the central optimization and safety management platform; security verification and stable execution of the instruction are guaranteed through shadow simulation, strategy progressive switching and a security instruction shielding module; and the man-machine interaction application unit is used for visual monitoring, strategy recommendation and history redisk.

The invention discloses a self-adaptive regulation and control method, device and equipment for external characteristics of a new energy station in a network, and a medium, and the method comprises the steps: obtaining sensor parameters of the new energy station, an energy storage system and a flexible DC converter station, and constructing external characteristic parameters of the network; aiming at an alternating current side, performing outer-loop control and inner-loop control of the virtual synchronous machine based on a droop coefficient, a short-circuit ratio and voltage stiffness; for the energy storage system and the new energy field station, the output fluctuation condition of the new energy field station and the charge state of the energy storage system are determined according to sensor parameters, and in combination with the equivalent inertia and the droop coefficient, a combined frequency modulation strategy based on energy storage priority and a charge balance control strategy acting on an inner ring of an inverter are adopted for power distribution; through voltage fault detection, when a voltage fault occurs, an emergency control mode is entered and differential control is implemented according to a fault type; and parameter adaptive optimization is carried out according to the fault data of the historical record. According to the invention, the system control precision and the system stability are effectively improved.

The invention relates to the technical field of hydrogen energy storage and transportation safety, and discloses a hydrogen leakage high-precision detection system based on multistage sensing fusion. Comprising a multi-stage sensor data acquisition module, a data preprocessing module, a data analysis module, a hydrogen leakage risk assessment module, a self-adaptive adjustment module, an emergency risk processing module, an execution control module and a closed-loop monitoring feedback module, the data pre-processing module pre-processes the collected data; the data analysis module performs three-level risk value calculation based on the pre-processed data; the hydrogen leakage risk assessment module performs grading rating; the self-adaptive adjustment module generates a self-adaptive control instruction; the execution control module receives and executes the control instruction, the closed-loop monitoring feedback module carries out real-time monitoring and effect evaluation on an instruction execution result of the execution control module, and if the instruction execution result does not reach the standard, a secondary disposal process is triggered.

The invention belongs to the technical field of power batteries, and provides a power battery thermal management method and system and application, and the method comprises the steps: dividing a power battery into a plurality of monitorable areas along a cooling medium flow channel, collecting the real-time state data of each area in real time, and synchronously calculating the temperature change rate; dynamically calculating the thermodynamic weight coefficient of each region through a fusion weight calculation model; calculating a theoretical flow demand value of the corresponding region according to the proportion of the thermodynamic weight coefficient of each region in the total weight; a valve opening control instruction is generated and executed, so that the actual flow of the cooling medium in each area tracks the theoretical flow demand value; and the above steps are periodically returned to update the thermodynamic weight coefficient and the valve opening control instruction, and when it is detected that the temperature of any area is abnormal, an emergency regulation and control mode is triggered. The problem that a traditional thermal management system cannot dynamically respond to local temperature abnormity can be solved, battery temperature unbalance is avoided, and the service life is prolonged.

The invention discloses a meeting place people flow analysis, statistics and prediction system, and relates to the technical field of intelligent people flow management, and the system comprises a face recognition verification terminal, a people flow statistics terminal, a prediction control terminal, an early warning prompt module, an emergency control module, a data storage module and a visualization module. Statistical errors caused by repeated entering and exiting are avoided, the number of people in the museum is calibrated in real time, the problems of identity confusion and insufficient precision existing in traditional manual statistics and single sensor counting are solved, the accuracy and reliability of people flow statistics are improved, and a high-quality data basis is provided for subsequent prediction and control. Historical activity data, real-time reservation information and environment variable factors are fused, a prediction model is constructed to pre-judge the peak period and the peak scale of people flow in advance, the management and control lagging risk caused by a traditional afterward response mechanism is reduced, and intelligent conversion from passive interception to active dredging is achieved in combination with a gate flow limiting and shunting guide strategy.

The invention relates to the technical field of robots, in particular to a visual perception-based real-time abnormal event recognition method for a quadruped robot, which comprises the following steps of: acquiring body motion data and an environment image sequence of the robot in real time through an inertial measurement unit and a visual sensor; predicting and generating a short-term expected movement track based on the data and the control instruction; meanwhile, estimating an actual motion track of the robot by utilizing a visual odometer technology; fusing the deviation value of the expected trajectory and the actual trajectory with the optical flow statistical features extracted from the dense optical flow field to form a multi-modal fusion feature vector; and calculating a real-time abnormal confidence coefficient score by adopting a pre-trained long-short-term memory network model. Multi-mode sensing information is effectively fused, limitation of a single sensor is overcome, high-precision and real-time recognition and classification of abnormities such as foot slipping, collision and terrain abrupt change are achieved, corresponding emergency control strategies can be triggered, and autonomy and reliability of the quadruped robot in a complex environment are improved.

The application belongs to the technical field of cold storage supervision, and particularly relates to a cold storage real-time monitoring alarm system based on an internet of things, which comprises a water immersion and fire condition detection unit, an environment harmfulness detection and analysis unit, a cold storage storage effect influence analysis unit, an intelligent emergency control unit and a cold storage management response end; the application can automatically switch to a standby power source when power interruption occurs, so as to ensure continuous operation of the cold storage; and the application can monitor key parameters such as ground water, fire condition, harmful gas concentration, access control state and temperature fluctuation in the cold storage in real time, so as to ensure that potential safety hazards can be found and handled in time, storage loss and personnel injury caused by water immersion, fire, harmful gas exceeding the standard or abnormal temperature maintenance factors can be effectively prevented, the reliability and safety of the cold storage are enhanced, the intelligentization and automation degree are high, and the supervision difficulty of the cold storage is significantly reduced.

The path confirmation section (28) sets the attention region (45) in the region expanded to the position farther than the safety distance (42) and between the moving obstacle (46) and the host vehicle (40) by the attention region setting section (286) in the case where there is the moving obstacle (46) moving around the periphery of the host vehicle (40). Also, the path selection section (285) selects the travel plan in the generated travel plans that travels in such a manner that the moving obstacle (46) does not intrude into the set attention region (45). When the moving obstacle (46) intrudes into the set attention region (45), the travel control ECU (31) is controlled by the emergency control section (282) to implement at least either one of deceleration control and steering control of the host vehicle (40) to expand the distance from the moving obstacle (46).

The invention relates to a risk early warning method and device based on new energy output fluctuation and a storage medium, which are applied to the technical field of power system dispatching, and comprise the following steps: obtaining the output deviation level of a generator set under a dispatching output plan through historical data, quantifying behavior deviation and incorporating the behavior deviation into a risk model, the risk assessment result is closer to the physical reality and market environment, and the accuracy and reliability of imbalance risk early warning are remarkably improved; accurate risk early warning is provided before a scheduling plan is executed, so that scheduling personnel can identify potential system imbalance risks in advance and have sufficient time to take preventive control measures, and therefore, occurrence of large-scale imbalance events can be effectively avoided, and safe and stable operation of a power grid can be guaranteed; accurate risk early warning helps to reduce unnecessary standby capacity configuration and emergency control cost, avoids sharp fluctuation of spot market price caused by large-scale output deviation at the same time, and helps to maintain stable and economical and efficient operation of the power market.

Emergency notification procedure for technical installations, preferably accessible technical installations, in particular wind turbines (10), wherein, in the event of an emergency in the area of ​​the installation (10), an emergency notification or emergency message is sent by a person (15, 16) to a central location, in particular an emergency control center, by means of a mobile communication device, in particular a mobile phone, to alert emergency and / or rescue services for the emergency, in particular fire brigade and / or rescue service and / or police and / or technical personnel, at least one human-readable and / or machine-readable emergency code (19) arranged in the area of ​​the installation (10) is read out for the identification of the installation (10) when the emergency notification is sent to the central location, characterized in thatthat the machine-readable emergency code (19) is read by means of the mobile communication device or mobile device and that access to a walk-in interior and / or exterior area of ​​the facility (10) is at least temporarily granted when the machine-readable emergency code (19) is read and / or when the emergency message is sent to rescue services.

This invention discloses a transient stability emergency control method based on the masking of actions in the dominant instability mode, belonging to the field of power system control technology. The method includes: constructing an action space based on control actions after masking illegal actions; inputting a decision-making agent to generate continuous action distribution parameters and a tripping ratio vector; interacting with a reinforcement learning environment based on the tripping ratio vector to obtain tripping decisions and constructing an experience pool; iteratively optimizing the agent based on the mapped state sequence, the control actions after masking illegal actions, and the reward function determined by the tripping decisions, collecting current operating condition data and current fault data, and determining whether the current dominant instability mode has changed; selecting a trained decision-making agent based on the current dominant instability mode, outputting the tripping decision, and executing emergency control. This invention solves the problem that existing methods generate illegal or invalid control actions under different instability modes, affecting control performance and even damaging system stability.

The application relates to the technical field of parking management, and discloses an intelligent parking space lock management system based on shared reservation and emergency control, which comprises the following modules: a reservation token module, which is used for generating a revocable reservation token and writing the token into a local strategy table; a presence lock-lowering module, which is used for lowering the lock when a reservation is valid and a parking space is idle; an emergency priority module, which is used for determining an emergency request priority and freezing or revoking a reservation token; a conflict migration module, which is used for determining a migration parking space and rebuilding a reservation when a reservation conflicts; a mutual exclusion safety module, which is used for performing mutual exclusion and safety checking on a lock-lowering control command; an online settlement module, which is used for completing usage duration and fee calculation based on an event sequence; and a timeout rollback module, which is used for performing multistage rollback release processing when an emergency release is timed out. The application realizes deterministic control and traceable management of parking space usage in a shared reservation and emergency control parallel scene.

The invention relates to a power system and a vehicle. The power system comprises a fuel module, a power module and an emergency control module. The fuel module is provided with a storage box and a pumping device, power supply of the pumping device is cut off through the emergency control module to stop fuel conveying, and the internal combustion engine is shut down due to fuel exhaustion; the power module synchronously disconnects the power battery from the electric driving device by using a positive electrode switch and a negative electrode switch in a power supply loop so as to realize complete electrical isolation of a high-voltage system; according to the emergency control module, an emergency switch directly controls connection and disconnection of a control loop, then the power supply state of a storage battery to the pumping device, a positive electrode switch and a negative electrode switch is controlled, it is guaranteed that fuel cut-off and high-voltage power failure can be synchronously triggered under the emergency working conditions such as brake failure, and the effect of rapid energy-cut braking of the vehicle is achieved.

The present application belongs to the field of road vehicle control system, and relates to a windshield shelter stripping and vehicle emergency control method. The method accurately identifies the material and adhesion state of the shelter, combines the material stripping difficulty factor, shelter coverage area and current environment to assess the stripping feasibility of the shelter. When the shelter meets the stripping conditions, the system actively performs static electricity elimination and vehicle posture control to remove the shelter and quickly restore the driver's vision. When the shelter cannot be stripped, the system automatically switches to the emotion soothing, control management and vehicle-road collaborative compensation mode to guide the driver to perform the side parking operation. This double-path design of "treating the symptoms when the shelter can be stripped and treating the root cause when the shelter cannot be stripped" covers all possible working conditions of the highway foreign object sheltering scene and avoids the limitations of the "one-size-fits-all" alarm of the prior art.

The invention discloses an emergency rescue control method and system based on an electric control type automatic escape door and window lock, and the method comprises the steps: collecting the smoke concentration, temperature change rate and flame light sensation data in an environment in real time, and generating a fire risk grade evaluation signal through a time sequence analysis algorithm; based on the fire risk grade evaluation signal, generating an emergency control instruction of a corresponding grade through a grading response decision module; according to the linkage unlocking instruction, the electromagnetic-mechanical integrated lock is controlled to execute the unlocking action of the electric control type automatic escape door and window lock, and a feedback signal of the unlocked state of the lock is generated; and according to the feedback signal of the unlocking state of the lock, the field audible and visual alarm is started, and the unlocking time, the position information and the fire risk level are synchronously uploaded to the fire control center platform. According to the embodiment of the invention, the rapid response of the whole process from early fire early warning to automatic unlocking escape can be realized, and the cooperative efficiency and accuracy of fire rescue are improved.

The invention relates to the technical field of load adjustment, in particular to a high-proportion renewable energy power system operation state evaluation method. The method comprises the following steps: analyzing and extracting dominant voltage-reactive sensitivity by using random sampling consistency regression, generating a positive correlation indication bit through sensitivity polarity, analyzing differential fluctuation characteristics of a fitting deviation sequence, and determining an impedance characteristic weight; and correcting the periodic active sequence in combination with the impedance characteristic weight to obtain an active income value, and introducing a risk penalty term based on voltage urgency to obtain an effective load shedding value to generate a load shedding control strategy. According to the method, the decoupling identification model based on the voltage-reactive micro-response mechanism is constructed, so that accurate evaluation of the feeder line source load attributes is realized, the identification robustness is improved, and the safety and the accuracy of emergency control of the power system are improved.

The application relates to the technical field of energy storage safety, and discloses a multi-scale multi-physical-field energy storage emergency space twin modeling method, which comprises the following steps: presetting macro low-dimensional and micro high-dimensional models in an edge computing device, measuring residual computing power, setting a concurrent threshold, calculating space-time gradient characteristics by using a macro model based on annular buffer data to mark a candidate region, calculating a thermodynamic urgency index, sorting the candidate region, and screening out an activated region, calling historical data to drive a micro model to perform super-real-time operation, completing internal state initialization, establishing a heterogeneous model physical boundary bidirectional coupling by using flux impedance matching, outputting a fault evolution prediction result, and generating a fixed-point emergency control instruction. By means of thermodynamic urgency scheduling and boundary coupling technology, the application solves the high-fidelity simulation problem under the condition of limited computing power on the edge side, and improves the prediction accuracy and response speed of the multi-scale multi-physical-field energy storage emergency space twin modeling.

The application discloses a kind of emergency closing gate front backwater peak estimation method of gated channel, comprising the following steps: S1, one-dimensional unsteady flow simulation model of channel is constructed;S2, determine typical working condition of emergency control;S3, according to the simulation model in step S1, the typical working condition in step S2 is simulated, and the gate front backwater peak value of typical working condition is determined;S4, according to the gate front backwater peak value of typical working condition in step S3, draw gate front backwater peak value curve cluster;S5, according to the gate front backwater peak value curve cluster in step S4, determine the range of gate front backwater peak value when emergency disposal;S6, according to the gate front backwater peak value curve cluster in step S4, determine the accurate gate front backwater peak value when emergency disposal.The application has high estimation accuracy, is convenient and fast to use, can quickly and accurately estimate the gate front backwater peak value under different gate initial flow and gate flow amplitude, can not only simply and quickly estimate the range of gate front backwater peak value, but also can more accurately determine the gate front backwater peak value.

The invention provides a remote emergency control system and method, and the method comprises the steps: enabling a rear-end optical transmitter and receiver to collect a switching signal after a rear-end emergency control box presses a scram button, converting an electric signal into an optical signal, transmitting the optical signal to a receiving optical transmitter and receiver in each region at the front end through an optical fiber, converting the optical signal into an electric signal through the receiving optical transmitter and receiver, and transmitting the electric signal to the rear-end emergency control box; according to the invention, the power supply of the relay DO signal transfer box can be cut off remotely under the condition of front and rear end network faults, and after the transfer box is powered off, the power supply of the relay DO signal transfer box is switched off, the power supply of the relay DO signal transfer box can be switched off, and the power supply of the relay DO signal transfer box can be switched off after the power supply of the transfer box is cut off. And when the internal relay is in a power-off state, the DO signal cannot be output, and the electromagnetic valve restores to an initial state, so that the system is in a stable working condition, and the task reliability and the product safety are improved.

The invention relates to the technical field of automobile part machining, and discloses an automobile brake disc comprehensive grinding device which comprises a machine body, a shell, at least two grinding modules working independently, a three-axis moving assembly, a clamping workpiece and a control part. The control part comprises an acquisition module, a preprocessing module, a double-module independent motion control module, a polishing parameter self-adaptive adjustment module, a dust removal linkage control module and a safety monitoring and emergency control module, and clamping pressure, position, surface roughness and temperature data are acquired in real time through multiple sensors; after processing, the motion trails, the polishing parameters and the operation state of the dust removal system of the double modules are dynamically adjusted, and closed-loop control and safety monitoring are achieved; synchronous and efficient grinding of the surface and the side face of the brake disc is achieved, the self-adaptive adjusting capacity is achieved, and the grinding precision, efficiency and operation safety are effectively improved.

The present application relates to control valve technical field, especially in an emergency switching flow and pressure regulating system and control method based on pulse control, including the following steps: receiving signal, judging emergency situation, identifying emergency opening valve or emergency closing valve, and sending corresponding emergency control instruction; executing emergency opening valve control step or emergency closing valve control step; emergency opening valve control step includes: sending emergency opening valve control instruction to electric ball valve B, water flow from water outlet cavity enters into the lower cavity of pressure cavity through electric ball valve B; sending emergency opening valve control instruction to electric ball valve A, water flow in the upper cavity of pressure cavity is discharged to the atmosphere outside through electric ball valve A, and the valve is opened; emergency closing valve control step includes: sending emergency closing valve control instruction to electric ball valve A, water flow from water inlet cavity enters into the upper cavity of pressure cavity through electric ball valve A; sending emergency closing valve control instruction to electric ball valve B, water flow in the lower cavity of pressure cavity is discharged to the atmosphere outside through electric ball valve B, and the valve is closed.

This application relates to the field of wastewater treatment technology, specifically disclosing a multi-flow stabilization control system for internal and external recirculation pump sets. It aims to solve the problem of insufficient flexibility caused by the single recirculation mode and lack of emergency control measures in existing systems. The system includes: a first and second biological tank series equipped with key variable frequency pumps, a multi-functional fluid switching network, and an intelligent stabilization module. The switching network connects the two pump series across series via interconnected pipes and valve groups; the intelligent stabilization module controls the valves and pump frequency according to real-time operating conditions, enabling flexible switching between venting, emergency water distribution, rapid recovery, and cross-recirculation modes. This application breaks through the limitations of traditional single-line operation, significantly improving the system's resilience, load-bearing capacity, and nitrogen and phosphorus removal efficiency, while reducing operating costs.

The utility model discloses a glass kiln combustion emergency control system which comprises a kiln combustion chamber, a natural gas pipeline, a combustion-supporting gas pipeline and a smoke exhaust pipeline, the combustion-supporting gas pipeline and the natural gas pipeline are both connected with the kiln combustion chamber, and the outer end of the combustion-supporting gas pipeline is connected with an air supply assembly. The natural gas pipeline and the combustion-supporting gas pipeline are respectively provided with a stop valve, the smoke exhaust pipeline is connected with a smoke exhaust port of a kiln combustion chamber, the pressure sensor and the control module are connected, the control module is used for controlling the stop valves to work, the pressure sensor is arranged on the combustion-supporting gas pipeline, and the control module is connected with the stop valves. Combustion-supporting air and natural gas can be synthesized into mixed gas through a pipeline and enter the kiln for sufficient combustion according to a required proportion, and if the problem of auxiliary air occurs, the control module immediately collects abnormal air pressure data and automatically cuts off the output of the natural gas and the combustion-supporting air to the kiln for combustion control; environmental protection data and waste gas are effectively and rapidly controlled to meet indexes, and the problem that online environmental protection data exceed the standard is avoided.

The invention relates to the technical field of emergency control in a new energy scene, and discloses a machine learning method-based emergency control method, system and device for section power in a new energy scene, and a medium, and the method comprises the steps: building a section power emergency control strategy prediction model, and enabling the power change in the new energy scene to be quickly responded, thereby achieving the emergency control of the section power in the new energy scene. And the problem of power overload of the section of the power grid caused by intermittency and uncertainty of new energy is effectively solved. According to the method, a machine learning algorithm is utilized to learn the complex relation between new energy output and the power grid operation state from a large amount of historical data, and the defects that a traditional emergency control strategy is slow in response, difficult to adapt to the complex power grid operation state and high in calculation complexity are overcome.