The invention discloses a real-time intelligent fuel system for a water transport coal-fired power plant. The hardware equipment of the system includes a bucket wheel stacker-reclaimer automatic control system, a real-time coal check system, a coal temperature detecting device, a server, and the like; the hardware equipment of the system includes a system platform, an intelligent coal blending combustion system, a fuel intelligent dispatching management system, a fuel intelligent operation management system, a boiler real-time operation management system, a data analysis system and the like. Under the framework of an intelligent power plant, the data gaps of the whole process of fuel management are bridged through the fully automatic bucket wheel capable of accurate three-dimension positioning; intelligent coal stacking and in-boiler coal intelligent blending and combustion are realized through a combustion characteristic prediction-based intelligent coal blending technology; the automatic correlation of the types and quality of coal which is combusted real time in a boiler can be realized through a coal bunker intelligent layering technology; and an automatic coal blending technology, a plurality of metering devices used in a whole process, and an in-boiler coal type-based sampling technology are adopted to realize the intelligent balanced analysis of the coal quantity and coal quality in the whole process of fuel management.

Real-time intelligent fuel system for water transport coal-fired power plant

The invention discloses a data screening method and device for a thermal power generating unit and a computer device. The method comprises the steps of calculating a first distance between a first feature vector in a working condition section data set and a second feature vector in each clustering working condition data set; and calculating the sum of the distances of the first distances; respectively calculating the specific gravity of each first distance in the distance sum; calculating the information entropy of the working condition segment data set corresponding to the first feature vector according to each specific gravity; calculating a mean square error of an information entropy set composed of the information entropies; obtaining a probability distribution curve of each information entropy and a judgment interval on the probability distribution curve based on each information entropy, the mean square error and a predetermined judgment coefficient; and screening the informationentropy corresponding to the exceeding judgment interval, and taking the working condition segment data set corresponding to the screened information entropy as an abnormal data set. According to themethod, the screening process of mass data of the thermal power generating unit is optimized, and the selection difficulty, the time cost and the screening precision are reduced.

Data screening method and device for thermal power generating unit and computer device

The invention provides a model training method for combustion control. The model training method comprises the steps of acquiring combustion state parameters and control action parameters in historical data at multiple moments; inputting the combustion state parameter at a previous moment into a strategy network to obtain an action forecast parameter at the current moment; inputting the combustionstate parameter and the control action parameter at the previous moment and the combustion state parameter and the action forecast parameter at the current moment to a combustion process simulation forecast network to obtain a state forecast parameter at a next moment; and training the strategy network according to the state forecast parameter and an actual combustion state parameter at the nextmoment. The invention also discloses a model training device for combustion control, electronic equipment and a computer readable storage medium.

Model training method and device for combustion control, electronic equipment and medium

The invention discloses a water valve control method, a control system and an intelligent water valve used for avoiding a flood. The method comprises the following steps of acquiring water pressure data in a preset range; calculating maximum water pressure under a safe use condition in a predetermined range according to the obtained water pressure data, and taking the calculated maximum water pressure as standard water pressure; monitoring real-time water pressure in a preset range and comparing with the standard water pressure; and when the real-time water pressure exceeds the standard waterpressure, making the water valve be closed. Through real-time data, whether there is the risk of flooding in the home of a user is analyzed, a potential flood threat is effectively processed and life,property and other security threats are avoided. The standard water pressure is obtained based on the water pressure data of each user home, and a condition that the data is not accurate due to the different living habits of different users is not generated, and misjudgment is prevented.

Water valve control method, control system and intelligent water valve used for avoiding flood

The invention provides an online real-time combustion optimization technology method for a coal-fired power plant boiler. The online real-time combustion optimization technology is characterized in that the online real-time combustion optimization technology is an open-loop online combustion optimization guidance method and does not affect the normal operation of the DCS, and a new combustion adjustment method is recommended on the basis of statistics and calculation analysis of operating data. The operating personnel of a unit adopt the new adjustment method provided by the invention throughintuitive data and picture comparison, so that the combustion organization of the boiler is relatively optimized, and thus, the economical efficiency of the unit is improved in operation. The online real-time combustion optimization technology method relates to the technical field of combustion adjustment of a coal-fired power plant, and can be used as a guide for combustion optimization in the daily operation of the unit. The online real-time combustion optimization technology method enables the combustion organization of the boiler to be optimized in the operation process by counting the main operation adjustment methods of the boiler combustion, and recommending the new operation adjustment method in combination with online real-time data analysis, achieves the purpose of improving theeconomical efficiency of the unit in the operation process, and is relatively conducive to the operation performance monitoring, energy saving, emission reduction and the like of coal-fired power plant equipment.

Online real-time combustion optimization technology method for coal-fired power plant boiler

The invention discloses a coal-fired unit running state real time estimation method and a system thereof in the electric power engineering field; the method comprises the following steps: determiningcoal-fired unit running state estimation feature parameters, and gathering history feature parameter data and real time feature parameter data; carrying out cluster analysis for the history feature parameter data, and building a probability-based Gaussian mixture model according to the clustering result; calculating the parameters of the Gaussian mixture model corresponding to the maximum probability of the history feature parameter data, and building a comparison Gaussian mixture model; calculating the similarity between the real time feature parameter data and a desired value of the comparison Gaussian mixture model, and using the similarity value with the maximum similarity as the coal-fired unit real time estimation value. The method can provide an integration evaluation index for determining the coal-fired unit running state real time, and can provide basis for the power grid to make scheduling strategies, thus better realizing energy saving scheduling and safety scheduling.

Coal-fired unit running state real time estimation method and system thereof

The invention relates to the field of thermal power plant modeling analysis evaluation, and discloses an intelligent blended coal combustion optimizing method and system. The boiler efficiency is improved, the production cost is lowered, the coal source structure is optimized, and data support is provided for scientific fuel purchasing. The intelligent blended coal combustion optimizing method comprises the steps of selecting a to-be-blended coal matching mode, predicting a blended coal property index, screening to-be-blended matching and generating an optimal coal blending scheme.

Intelligent blended coal combustion optimizing method and system

The invention discloses a prevention and control method for cascading failures of a coal-fired unit. The method comprises the steps of acquiring a health degree, failure maintenance cost and failure load transferring cost of each coal-fired unit; computing the failure rate of the coal-fired unit via the health degree, and computing the risk factor of the same through combining with the failure maintenance cost; building a multi-target function by using minimization of the risk factor and failure load transferring cost as targets; solving a health degree threshold by using Pareto of a multi-target particle swarm optimization algorithm via the multi-target function; and when the health degree is more than the health degree threshold, keeping the running state of the coal-fired unit, and otherwise, transferring load. According to the method provided by the invention, the health degree threshold is analyzed according to the running state of the coal-fired unit, the health degree of the unit is compared with the health degree threshold to find the running state exception or equipment exception of the unit in time, the electric grid is guided to be scheduled and adjusted in real time, when the failure occurs in the unit, the load shedding and load transferring schemes are provided for stopping spread of the failure, and thus the whole security performance of the large electric grid is improved.

Prevention and control method for cascading failures of coal-fired unit

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Coal-fired unit running state real time estimation method and system thereof

Intelligent blended coal combustion optimizing method and system

Prevention and control method for cascading failures of coal-fired unit