14results about How to "Avoid running risks" patented technology

The invention relates to the technical field of boiler combustion control, in particular to a boiler intelligent combustion precise air distribution online monitoring system which comprises a combustion state sensing module, a combustion state sensing module, an execution adjusting module, an online monitoring feedback module and a data storage and visualization module. According to the boiler intelligent combustion precise air distribution online monitoring system, through fusion of multi-dimensional combustion state perception and a deep learning algorithm, intelligent self-adaptive optimization of an air distribution scheme is achieved, a traditional manual experience adjustment and single parameter control mode is abandoned, and the intelligent combustion precise air distribution online monitoring system is high in practicability. Key information in the combustion process is comprehensively captured by multiple types of sensors such as infrared thermal imaging and flue gas analysis, air volume, air speed and air temperature adjusting instructions of primary air, secondary air and tertiary air are accurately output through data preprocessing and fusion model operation, and complex working conditions such as fuel type change and load fluctuation can be dynamically adapted; real-time decision making and regulation can be completed without manual intervention, and the intelligent level of boiler combustion control is improved.

The invention discloses a refrigerant adjusting method, device and system. The method comprises the steps that the current refrigerant temperature difference between the first refrigerant temperature of an inlet of the air-cooled condenser and the second refrigerant temperature of an outlet of the air-cooled condenser is obtained; the current deviation between the current refrigerant temperature difference and the temperature difference reference value is determined; under the condition that the current deviation is not within the first range, a feedback control model based on a real-time error is called, the opening degree of a first adjusting valve is adjusted according to the current deviation, so that the deviation between the adjusted refrigerant temperature difference between the inlet and the outlet of the air-cooled condenser and the temperature difference reference value is within the first range, and the first adjusting valve communicates with the air-cooled condenser; according to the scheme, the fluctuation of the key heat exchange parameter (temperature difference) is actively restrained within a set reasonable range, system performance degradation or operation risks caused by large drifting of parameters are effectively avoided, stable and reliable operation of the whole system is guaranteed, and the technical problem that the operation stability of an evaporation cold and heat pump unit system is low can be solved.

This invention discloses a method for generating operation and maintenance schemes for deep-water explosive containers based on generative adversarial networks (CGANs), relating to the field of deep-water explosive container safety operation and maintenance technology. Based on the maximum strain prediction value output by the optimal GRU strain prediction model, the fuzziness of material performance parameters is first processed using a fuzzy interval reliability model to obtain a reliability interval. Then, using this reliability interval as input, a random interval hybrid reliability model is combined to fuse the randomness of the predicted strain, calculating a reliability index η used to quantify the container's safety status. This invention generates virtual data that conforms to the real distribution and has physical rationality through conditional generative adversarial networks (CGANs), effectively compensating for the lack of historical data under extreme conditions such as high explosive dosage and high water pressure, enhancing the generalization ability of data-driven models, and significantly improving strain prediction accuracy in scarce sample intervals.

This invention discloses an automated terminal equipment operation status monitoring device and method, belonging to the field of power distribution automation equipment monitoring technology. The device consists of an MCU, a current signal acquisition module, a voltage signal acquisition module, a temperature acquisition module, an A / D converter module, a power supply module, an alarm module, a communication recording module, a data storage module, and a display module. Each module is electrically connected according to a preset configuration to form a complete monitoring architecture. Based on this device, the method sequentially executes the following steps: system initialization self-calibration, multi-source signal synchronous acquisition and preprocessing, fault judgment threshold dynamic correction, multi-dimensional feature fusion fault analysis, hierarchical linkage response and data partitioning storage, and cyclic monitoring. This invention improves the accuracy of fault detection and analysis, can quickly locate faults and respond hierarchically, significantly shortens repair time, effectively improves the operation and maintenance management capabilities of terminal equipment, and ensures the safety of power distribution networks and equipment.

The invention relates to the technical field of magnetic suspension phase change air conditioners, in particular to a load matching control method for an evaporative cooling magnetic suspension phase change air conditioner, which comprises the following steps: acquiring outdoor wet bulb temperature and system refrigeration load, and comparing with a preset threshold to start different working modes; whether refrigeration output is matched with the requirement or not is judged by comparing the actual temperature with a temperature threshold value in different working modes; if not, calculating the initial adjusting quantity of the key component according to the temperature difference; the current of the key component is sampled in real time, the mutation rate is calculated and compared with a threshold value, the initial adjusting quantity is corrected according to a comparison result, and therefore adjustment and control over all the components are completed. According to the method, multi-dimensional fusion and self-adaptive matching of the load demand, the environmental condition and the equipment state are realized, and the operation risk caused by too fast adjustment or equipment abnormity is effectively avoided while the energy efficiency of the system is improved.

The invention relates to a power failure prevention device of a multi-energy hybrid power electric propulsion ship. The power failure prevention device comprises a main electric propulsion assembly, a slave electric propulsion assembly and a switching assembly. The device comprises a main power supply state and an emergency power supply state, when the device is in the main power supply state, a first wire and a second wire are powered on, a moving mechanism is attracted to an electromagnet, and the middle of a third wire is disconnected; when the device is in an emergency power supply state, the main power supply is powered off, the wiring terminal is matched and connected with the joints of the third wire and the fourth wire, and the third wire is connected with the fourth wire. Compared with the prior art, the system has the advantages that the master electric propulsion assembly and the slave electric propulsion assembly cooperate with each other, double electric propulsion guarantee is constructed, redundant supply of ship propulsion electric power is achieved, the operation risk after single power supply outage can be avoided, rapid and automatic switching can be achieved, the recovery time of propulsion power in the fault state is greatly shortened, and the ship propulsion efficiency is improved. And continuous output of ship propulsion power is guaranteed.

The invention provides a control method and device of a net-forming type flexible direct current converter. And calculating the phase angle of the grid-connected point according to the active power actual value of the grid-forming flexible direct-current converter and the voltage actual value of the grid-connected point. And calculating the current reference value feed-forward quantity of the net-forming flexible direct-current converter according to the direct-current voltage actual value of the net-forming flexible direct-current converter. And according to the phase angle of the grid-connected point and the current reference value feed-forward quantity, controlling the grid-forming type flexible direct current converter. According to the technical scheme provided by the invention, stable control of alternating-current side current sharing and direct-current side voltage sharing of the multiple converter valve groups can be ensured, and automatic and accurate power distribution of the converter valve groups can be realized without manual intervention under complex working conditions such as random fluctuation of new energy power generation power, that is, the disturbance resistance is strong, and the efficiency is high. Wide-range stable control of the power grid intensity can be realized, the reliability is high, and the reliability of the flexible direct-current power transmission system is further improved.

The application discloses a kind of control strategy determination method, device and electronic equipment of power distribution system.Therein, the method comprises: receiving and responding to the splitting event signal of power distribution system, obtaining the full amount operating state information corresponding to power distribution system;According to full amount operating state information, the on-off state of controllable line is combined, and power distribution system is divided into multiple initial island sets;According to local operating state information, a multi-agent dynamic frequency response model is constructed;Solving multi-agent dynamic frequency response model, according to the initial total loss value and initial control strategy corresponding to the multiple initial island sets respectively, the updated island set is obtained by updating, and the loss value and control strategy operation are determined iteratively until the target condition, to obtain the target control strategy corresponding to the target island set.The application solves the technical problem that the strategy loss is high when determining the control strategy corresponding to multiple island systems in the related art under the splitting condition.

The application discloses a microcomputer bus protection interval maintenance method and device, interval maintenance pressing plates are arranged for each interval, the maintenance state of the interval is effectively identified by switching on and off the interval maintenance pressing plates, the interval is exited from the protection function logic calculation when the maintenance is effective, and the complicated operation mode of exiting the interval current from the protection function logic by opening the AC circuit in the existing operation mode is replaced. The method and device of the application bring great convenience for the interval maintenance on the basis of ensuring the operation reliability, can greatly improve the efficiency of the bus protection interval maintenance, and reduce the operation burden of the operation and maintenance personnel.

This invention discloses an automatic patching device for down jacket fabric, relating to the technical field of down jacket patching devices. It includes a support frame and an arc-shaped concave plate and a spherical protrusion mounted on the support frame. The support frame is equipped with a flipping mechanism, which includes a flipping frame rotatably mounted on the support frame for flipping the down jacket fabric. The flipping frame is respectively equipped with two sets of upper concave frames and two sets of lower concave frames, each with two sets of limiting plates. Through its designed flipping mechanism, the flipping frame, in conjunction with a side motor structure, can automatically flip the clamped fabric 180 degrees, replacing manual flipping to complete double-sided patching, simplifying the process and avoiding the inefficiency caused by manual intervention. Combined with a lifting hydraulic rod, the clamping distance can be adjusted according to the fabric thickness. Simultaneously, the flipping mechanism, in conjunction with a pushing hydraulic cylinder, achieves automatic feeding, conveying, and flipping, realizing integrated operation of double-sided patching.

The invention provides a Saggoc new energy large-base scheduling method considering transmission capacity of internal and external lines, and the method comprises the steps: taking the minimization of the total operation cost of a system as a target function, and constructing an optimal scheduling model which considers the transmission capacity constraint of an internal power transmission network of a large base and the transmission capacity constraint of an extra-high voltage outgoing DC channel at the same time; and solving the optimal scheduling model by using a mixed integer quadratic programming algorithm to generate a scheduling plan considering both security and economy. According to the method, the stability, the robustness and the comprehensive operation benefit of the large-base power delivery system are improved.

This invention provides a two-stage optimization control method and system for coordinating peak shaving and absorption in green power parks, relating to the technical field of power system dispatching and control. The control method includes the following steps: acquiring operational data of the green power park; based on the operational data, determining the comprehensive regulation power, assessing peak shaving capacity, and determining the self-absorption rate; classifying the operational mode into mode A or mode B according to the assessment results; responding to mode A, executing a two-stage optimization model: the first stage aims to minimize the peak-valley difference of the comprehensive regulation power; if the optimization result of the first stage meets the peak shaving requirements, executing the second stage aims to maximize the self-absorption rate as the second objective; based on the results of the operational mode classification and the two-stage optimization model, determining the reserve capacity that the external power grid needs to configure. This invention solves the technical problems of the separation of peak shaving and absorption objectives, the lack of adaptability of the coordinated optimization strategy, and the unreasonable method of determining the power grid reserve capacity.

The present application belongs to the technical field of industrial equipment state monitoring and fault diagnosis, and specifically relates to a plate evaporator fouling state online monitoring and early warning system, which comprises a data acquisition module, a data processing module, an abnormal reason judgment module and a risk early warning module. Through preset logical rules, the present application can effectively distinguish different performance abnormal causes of fouling, non-condensable gas accumulation and mechanical changes. The present application has the abilities of localized abnormal positioning and multi-factor intelligent tracing, and can significantly reduce misjudgment. The actual heat transfer efficiency and the resistance along the way are calculated, a comprehensive abnormal value is constructed through the super-threshold degree, linear weighted fusion is carried out, the time sequence change trend is combined, visual support for the fouling degree classification and development trend is provided, and the operator can scientifically plan the shutdown cleaning time according to the fouling development trend.

The present disclosure provides a log collection method and device for GPU virtualization driver, and a medium, relating to the technical field of GPU virtualization. The method comprises: constructing an isolated and efficient log transmission channel by allocating an independent shared memory area for each guest virtual machine on the host side and completing address mapping; at the same time, starting an independent log reading thread and reading the log in the shared memory on demand based on a configurable log collection mode, while recording the log generated on the host side, realizing the synchronous collection of double-end logs, keeping the system at low overhead during normal operation, and obtaining complete context information when an exception occurs; by comprehensively analyzing the first driving operation log from the shared memory and the second driving operation log on the host side, the running behavior link across the host and the virtual machine can be associated and restored, the accuracy and efficiency of abnormal diagnosis are improved, and the resource occupation and maintenance complexity caused by additional components are reduced.