283results about "Boiler indication operations" patented technology

The invention discloses a thermal power generating unit operation state detection method and system, and relates to the technical field of operation state detection, and the method comprises the steps: S100, building a working condition variable label; s200, carrying out statistics on correlation coefficients of sensors and faults under various working conditions in historical operation data of the thermal power generating unit, dynamically updating weights, and storing the weights in a working condition database; s300, based on the energy transfer chain of the thermal power generating unit, establishing a parameter incidence matrix between devices; according to the method, the data weights of different sensors are adaptively adjusted according to the real-time operation state of the equipment, the defect that the traditional multi-sensor fusion adopts fixed weight or simple weighted average and is difficult to adapt to the working condition change is overcome, a physical relationship network between the equipment is constructed, key associated parameters are identified in an energy transfer form, and the fault identification accuracy is improved. The robustness of anomaly monitoring under complex working conditions is improved, and the false alarm rate is reduced.

The invention belongs to the technical field of boiler monitoring, and particularly relates to a non-contact boiler expansion monitoring device capable of being movably installed. Comprising an expansion displacement measuring device, a movable installation assembly and a marker, the expansion displacement measuring device is fixedly arranged on the movable installation assembly, and the marker is directly or indirectly arranged on the outer wall of a boiler to be monitored. The expansion displacement measuring device is aligned with the marker during expansion monitoring operation; according to the invention, the monitoring points can be deployed conveniently and quickly without complex transformation of the boiler body, the boiler expansion data can be acquired in real time in a high-precision and non-contact manner, a precise basis is provided for boiler operation and maintenance, and the boiler operation safety and management efficiency are improved.

The invention discloses a thermal power plant boiler fault monitoring and early warning method and system, and the method comprises the steps: obtaining and analyzing the operation monitoring data of a thermal power plant boiler, and determining an abnormal operation parameter; performing data prediction on each abnormal operation parameter according to a preset prediction model to obtain corresponding abnormal prediction data, and performing analysis to determine abnormal features; evaluating the abnormal state of the thermal power plant boiler based on each abnormal feature to obtain an abnormal state evaluation value, and judging whether the thermal power plant boiler has a fault according to the abnormal state evaluation value; after the thermal power plant boiler is judged to have the fault, determining the fault type based on the abnormal operation parameters; and determining a fault level based on the fault type, and determining an early warning coping strategy according to the fault level. According to the invention, prediction is carried out by analyzing the operation monitoring data, the future change condition of the boiler is determined, and the fault is determined by evaluation based on the change condition, so that early warning is carried out, the fault risk can be effectively reduced, the safety, reliability and operation efficiency of the boiler are improved, and the production benefit is increased.

The invention discloses a boiler operation state intelligent monitoring method and system, and the method comprises the steps: collecting multi-source heterogeneous data in a boiler operation process, carrying out the cleaning and normalization processing of the multi-source heterogeneous data, extracting key features through wavelet transform, and obtaining standard multi-source heterogeneous data; modeling time series data in the standard multi-source heterogeneous data on the basis of an LSTM (Long Short-Term Memory) network, capturing a dynamic change trend of boiler operation to obtain time series characteristics, analyzing a hearth flame image and an infrared thermal image by using a CNN (Convolutional Neural Network), and extracting combustion state characteristics and thermal distribution characteristics; and based on the comprehensive state vector, a confidence interval of each feature dimension is calculated through a GMM Gaussian mixture model, an operation state deviation degree is analyzed and evaluated in combination with an entropy value, and when the deviation degree exceeds a preset threshold value, graded early warning is triggered. And the accuracy of boiler operation state intelligent monitoring is improved.

The invention relates to the technical field of boiler temperature measurement, and discloses a boiler furnace temperature field measurement system based on multi-sensor fusion. According to a temperature acquisition module of the system, a plurality of groups of infrared temperature measurement sensors and thermocouple sensors are arranged in preset space grids of a boiler hearth, and real-time temperature data of each space grid are synchronously acquired; the data fusion module performs time alignment and space registration on the acquired data to generate a space-time synchronous original temperature data set; the noise suppression module performs multi-scale decomposition on an original data set based on wavelet transform, extracts a high-frequency noise component and performs adaptive filtering, and outputs a temperature data sequence after noise reduction; the temperature field reconstruction module reconstructs a hearth three-dimensional temperature field distribution model through a radial basis function interpolation algorithm according to the denoised data sequence; and the dynamic compensation module calculates the heat conduction lag compensation amount of the temperature field distribution model according to the flowing speed of the flue gas in the hearth and the working condition parameters of the combustor, and generates a compensated dynamic temperature field model.

The invention discloses a boiler anti-leakage monitoring and positioning method and system, a product and a medium. The method comprises the following steps: when the dissolved hydrogen concentration variation of two or more monitoring units in a unit time period exceeds a preset rising or falling threshold value and one of the monitoring units periodically fluctuates, controlling to apply instantaneous electric pulse disturbance to all the monitoring units; collecting dissolved hydrogen response change values and capacitance change values before and after the pulse of each monitoring unit, and selecting the unit with the maximum dissolved hydrogen response change value as the unit with the maximum amplitude; and if the capacitance change value of the unit with the maximum amplitude has nonlinear offset or is lower than a threshold value, judging whether the change trend of the unit with the maximum amplitude is consistent with that of other units, and if so, pausing the alarm function of the unit with the maximum amplitude and continuing to monitor other units. By implementing the technical scheme provided by the invention, the accuracy of boiler leakage monitoring and positioning is improved.

The invention belongs to the technical field of cooking equipment, and discloses a steam generation assembly, a control method of the steam generation assembly, a steam box and an integrated cooker. According to the steam generation assembly, the water inlet of the heating disc is provided with the protruding part, the protruding part is higher than the water level in the water tank, the water temperature and / or the temperature rise rate of the position, close to the water inlet, of the water inlet pipe are / is monitored through the first temperature sensing element, and the water shortage state of the water tank can be rapidly judged due to the fact that the water amount is small and the temperature change is more remarkable. And after determining that the water inlet is lack of water, further judging whether the heating disc is in dry burning or not by combining the heating body temperature and / or the temperature rise rate monitored by the second temperature sensing element. And the accuracy and the reliability of judgment are improved through cooperative monitoring of the double temperature-sensing elements. In addition, by recognizing the water shortage of the water tank in advance, the temperature threshold T3 of the heating body in the dry burning state can be properly reduced, the logic judgment time is shortened, the dry burning duration is shortened, the heating disc is effectively protected, and the service life of the heating disc is prolonged.

The invention relates to a water level control method and device of a steam generator and computer equipment. The method comprises the steps that under the condition that it is detected that a main feed water valve of the steam generator has an upward floating fault, the feed water flow adjustment amount of the steam generator is determined according to the inlet and outlet water flow, the current water level value and the preset water level fixed value of the steam generator; determining an opening signal of a bypass valve based on a preset corresponding relation between the feed water flow and the opening signal of the bypass valve of the steam generator and the feed water flow adjustment amount; and the opening degree of the bypass valve is adjusted according to the opening degree signal, so that water level control over the steam generator is achieved. By the adoption of the method, disturbance to other steam generators can be avoided while the water level of the steam generator with the main water supply valve having the floating fault is adjusted to the stable state.

Devices, systems, and techniques relating to steam trap monitoring are described. These include battery-less steam trap monitors that run on power harvested from their environments, systems for acquiring steam trap monitor data for the traps in a facility or across multiple facilities, and techniques for processing steam trap monitor data to reliably determine the status of individual steam traps and potentially other system parameters.

A gas amount prediction method is a method of predicting an amount of gas generated in a plant, including: a generation amount calculation step in which a generation amount of gas that is actually usable is calculated using a learning model that learns a relationship between a generation amount of gas and a usage amount of gas in past operation data.

To stabilize the water quality of boiler water in a boiler, thereby preventing the generation of carry-over in which a large amount of boiler water is mixed into generated stream, corrosion of each part of a can body, and an overheat state of a heat transfer surface due to the adhesion of scale to a can wall surface.SOLUTION: A method of stabilizing the water quality of boiler water in a boiler is provided. A water supply pump for supplying the boiler water to the boiler is intermittently operated. Whenever the water supply pump is intermittently operated, blow operation for discharging the boiler water to the outside of a can is performed.SELECTED DRAWING: Figure 2

To provide a heat transfer surface cleaning system capable of making proper cleaning capacity act on a thickness of a deposit adhering to a heat transfer surface.SOLUTION: A heat transfer surface cleaning system comprises: an infrared camera that measures a surface temperature of a heat transfer surface by photographing the heat transfer surface exposed inside the boiler; a thermometer that measures a gas temperature in an internal space of the boiler; a cleaning device that cleans the heat transfer surface by injecting cleaning fluid; and a controller that controls an injection amount of the cleaning fluid. The controller performs machine learning of outputting the injection amount, acquiring state values including the measured surface temperature of the heat transfer surface and the gas temperature, acquiring a post-cleaning gas temperature measured by the thermometer after cleaning is performed by the cleaning device based on the injection amount, calculating a reward based on the post-cleaning gas temperature, and determining the injection amount to be output at current state values based on the injection amount, a state amount and the reward.SELECTED DRAWING: Figure 5

A method of integrating steam systems of first and second chemical plants, which includes transferring steam from at least one lower pressure steam header of a first steam production and transport system in the first plant to at least one lower pressure steam header of a second steam production and transport system in the second plant, such that steam produced by the first steam production and transport system is transferred to the second steam production and transport system in the second plant, which can reduce the GHG emissions of the combined first and second plants.

The invention relates to a thermal power plant electric steam boiler coupling spherical heat storage tank system and a peak regulation and frequency modulation method, and belongs to the technical field of novel energy storage. The system comprises a thermal power generating unit, a steam extraction outlet of the thermal power generating unit is connected with a first three-way valve, the first three-way valve is further connected with a second three-way valve and a first regulating valve, and the outlet end of the first regulating valve is connected with a steam heat storage spherical tank; a power supply outlet of the thermal power generating unit is electrically connected with an electric steam boiler and a frequency modulation control module, the output end of the electric steam boiler is connected with a second adjusting valve, and the output end of the second adjusting valve is connected with the steam heat storage spherical tank. The output end of the steam heat storage spherical tank is connected with an electric superheater, the output end of the electric superheater is connected with a second three-way valve, and the output end of the second three-way valve is externally connected with an industrial steam pipe network. The frequency modulation control module is further electrically connected with the first adjusting valve. Water in the electric steam boiler is heated to generate steam through thermal power flexible peak-shaving frequency-modulation surplus electric power, or steam is extracted from a steam turbine and fed into the steam heat storage spherical tank for heat storage and energy storage, and the peak-shaving frequency-modulation response capacity of the thermal power generating unit is improved.

Provided is a boiler capable of heating a fluid using a heating mechanism provided with a heating element inside a container, and capable of efficiently using heat generated by the heating element and heating the fluid appropriately according to various conditions. The boiler is provided with a heating element and a container provided with the heating element inside and capable of being filled with a gas having a specific heat capacity higher than that of air inside, and heats a fluid using heat generated by the heating element, wherein the boiler is provided with a controller that controls the amount of heat generated by the heating element in a state where the gas is supplied to the container.

The invention relates to the technical field of thermal power generation, and discloses a coal-fired power plant final-stage superheater wall temperature prediction method and system based on an improved wavelet time convolution network, and the method comprises the steps: obtaining the historical operation data of a plant-level monitoring information system, calculating the maximum information coefficient between each variable and the wall temperature, and obtaining the maximum information coefficient; selecting a variable with the maximum information coefficient greater than a preset threshold value as a key feature; constructing the key features and the wall temperature data at the current moment and the plurality of historical moments into model input features, and taking the wall temperatures at the plurality of future moments as model output features; constructing a wavelet time convolutional network model, wherein the wavelet time convolutional network model comprises an input layer, a wavelet decomposition layer, at least one hybrid expansion convolutional layer and an output layer which are connected in sequence; and training the wavelet time convolutional network model by using the model input features and the model output features to obtain a wall temperature prediction model. According to the method, the wall temperature of the final-stage superheater is predicted, an operator can take control measures in advance, and the overtemperature phenomenon is reduced.

The utility model relates to an ion rod for flame detection, which comprises an ion probe, a ceramic rod and a tail joint, the interior of the ceramic rod is hollow and is used for inserting the ion probe, the tail joint is arranged at the tail of the ceramic rod, the tail of the ion probe is provided with a thread part, the thread part is screwed and fixed with the tail joint, and the tail joint is connected with the ceramic rod. The whole ion probe is installed in a ceramic rod, a clamping sleeve connector is installed on the ceramic rod and can move on the ceramic rod to control the length of the ion rod entering a burner, a ceramic sleeve is further arranged in front of the ceramic rod and located on the ion probe in a sleeved mode, and a blocking piece is arranged in front of the ceramic sleeve and located on the ion probe. And the ceramic sleeve can be limited between the ceramic rod and the separation blade. The flame detector is simple and reasonable in structure, practical, safe and reliable, and can stably detect flame for a long time.

The present invention is a method for feeding a chemical to a steam system that controls the injection of a water treatment chemical to the steam system, the method being for feeding a chemical to the steam system that comprises: a pressure sensor, a temperature sensor, or a steam trap as a steam circulation detection means provided to the steam system; and a chemical feed pump for injecting the water treatment chemical to the steam system, said steam system controlling the injection of the water treatment chemical by means of the chemical feed pump in accordance with the steam circulation detection status of the steam circulation detection means.

The utility model discloses an intelligent boiler safety monitoring device which comprises a boiler, a sampling assembly and a monitoring mechanism, the sampling assembly is arranged on the side face of the boiler, and the sampling assembly and the boiler are mutually communicated or sealed; and the monitoring mechanism is arranged adjacent to the sampling assembly, is connected into the sampling assembly and is used for entering the sampling assembly for detection when the sampling assembly and the boiler are communicated with each other. When monitoring is needed, the sampling assembly and the boiler can be conducted, water in the boiler can enter the sampling assembly, then the monitoring mechanism can be controlled to enter the sampling assembly to detect the water quality, and therefore the situation that the monitoring mechanism is soaked in the boiler for a long time to cause erosion can be avoided, and it is ensured that the monitoring accuracy is higher.

The invention relates to the technical field of safety control of thermal equipment, in particular to a boiler self-checking system and a waste heat boiler, and the boiler self-checking system comprises a state recognition module and a dynamic logic verification module. A safety logic rule matched with the initial thermal state judged by the state recognition module is called, conformity verification is carried out on the real-time state or operation logic of related execution elements of the boiler, and when verification is not passed, a control instruction is output to limit the starting process or give out an alarm; according to the method, a closed loop of state recognition, dynamic logic matching and safety verification is constructed, dependence on human experience is reduced, safety accidents caused by human errors are effectively avoided, matching of safety measures and actual working conditions of the boiler is ensured through intelligent state self-adaption, and the starting and running safety of the boiler is improved.

The utility model discloses a waste heat boiler dense tube panel structure which comprises a plurality of tube panel sets arranged at intervals, a header assembly, an anti-vibration device and a connecting assembly, each tube panel set comprises a plurality of heat exchange tubes and a plurality of connecting tubes, the heat exchange tubes are sequentially arranged and communicated with one another, and the connecting tubes are used for being communicated with the heat exchange tubes in the same tube panel set. The anti-vibration device comprises first anti-vibration pieces arranged at the tops of the tube panel sets and at least one second anti-vibration piece arranged at the bottoms of the tube panel sets, and the connecting assembly comprises a plurality of first connecting plates arranged on the side faces of the tube panel sets in parallel and second connecting plates arranged at the bottoms of the tube panel sets. According to the utility model, the heat exchange efficiency and the heat economy can be improved, and the anti-vibration device which is convenient to disassemble is arranged, so that the efficiency of unit equipment can be prevented from being sacrificed during the maintenance operation, and the maintenance operation is convenient.

This invention relates to a novel method for controlling the silicon content in boiler water, belonging to the field of water chemistry technology for thermal power plants. The method dynamically determines the allowable silicon content in the boiler water under the current operating conditions based on the real-time boiler operating pressure and a preset negative correlation between boiler pressure and the allowable silicon content in the boiler water. The measured silicon content in the boiler water is compared with this dynamic allowable value, and boiler blowdown is only performed when the measured value exceeds the allowable value. This invention utilizes the physical characteristic that the solubility and carry-over coefficient of silicon in boiler water by saturated steam decreases with decreasing boiler pressure. Under low-load conditions, the control index for silicon content in boiler water is reasonably relaxed, thereby significantly reducing the frequency and amount of boiler blowdown while ensuring steam quality and turbine safe operation. This reduces boiler heat loss and demineralized water consumption, improving boiler thermal efficiency and overall unit economy.

The present invention provides a boiler operation support device and operation support method that can output combustion conditions that mitigate the corrosive environment of the boiler. [Solution] The system includes a processing circuit 11, which performs a chemical thermodynamic analysis for each of a plurality of combustion conditions using the elemental composition of the fuel, the air ratio included in the combustion conditions, the combustion reaction temperature, and a predetermined assumed temperature of the heat transfer tube surface to estimate the composition of the combustion gas phase and its generation amount on the heat transfer tube surface, as well as the composition of the corrosive condensed phase substance. Based on the composition of the combustion gas phase and its generation amount, it calculates the concentration of the corrosive gas. It generates point cloud data consisting of a collection of data including the composition of the corrosive condensed phase substance and the concentration of the corrosive gas corresponding to each combustion condition. From the point cloud data, it searches for data in which the composition of the corrosive condensed phase substance satisfies the conditions for suppressing corrosion on the heat transfer tube surface and the concentration of the corrosive gas is below a predetermined concentration, and performs an optimization calculation to output the combustion condition corresponding to that data.

The present invention provides a steam ablation device, including a steam generator, a water level detection device, an ion water detection device, a pressure detection device, a first temperature sensor, a second temperature sensor, a condensation device and a controller, wherein the ion water detection device is arranged between a water source and the water inlet of the steam generator, and the feedback end of the ion water detection device is electrically connected to the controller; the water level detection device is connected to the steam generator, and the feedback end of the water level detection device is electrically connected to the controller; the pressure detection device is connected to the interior of the steam generator, and the feedback end of the pressure detection device is electrically connected to the controller; the first temperature sensor is arranged in the steam generator, and the feedback end of the first temperature sensor is electrically connected to the controller; the second temperature sensor is connected between the condensation device and the steam outlet of the steam generator, and the feedback end of the second temperature sensor is electrically connected to the controller.

The application discloses a kind of water supply system control methods based on flow self-distribution, specifically related to water supply system technical field, including by using historical record to construct the probability density function of monitoring feature, and by sensor determines the actual situation of current monitoring feature, based on bayes formula determines water supply probability information, and by cross entropy adjusts the weight of monitoring feature, by monitoring the steam flow of each position in boiler pipeline, based on historical data determines the influence of each position steam flow variation on water supply system water supply decision, by logistic regression model, determines water supply deviation information, by the comprehensive analysis of water supply probability information and water supply deviation information, quantifies the influence degree of each time point on water supply system decision, by comprehensively considering steam flow, water supply flow and drum water level, construct neural network model, further optimize the regulation and control of water supply system, the application is helpful to accurately adjust water supply rate, improve boiler operating efficiency and safety.

The application discloses an industrial boiler fault detection method based on dynamic weighted differential principal component analysis, which comprises the following steps: setting a fixed length time window to expand the boiler sample points to obtain an expanded boiler sample set; finding the first neighbor in space and the neighbor set of the first neighbor of the expanded boiler sample set, performing weighted differential processing to solve the multi-modal problem of the boiler sample; establishing a PCA model based on the processed boiler sample data, and collecting online data pairs of the boiler operation; judging whether the collected current data is abnormal based on the established PCA model, so that the adverse effects of dynamic characteristics and multi-modal characteristics on the boiler fault detection are eliminated; and performing fault detection on the boiler system by using a traditional PCA model and the dynamic weighted differential principal component analysis respectively, wherein experiments prove that the dynamic weighted differential principal component analysis method can effectively improve the fault detection rate, and has important significance in the production practice of the boiler system.

The invention provides a coal-fired power plant boiler heating surface ash on-line monitoring system and a detection method thereof, and relates to the technical field of boiler combustion. The system comprises an operation data module used for obtaining operation data; the smoke exhaust temperature prediction module is used for inputting the operation data into a latest trained smoke exhaust temperature prediction model to obtain predicted smoke exhaust temperature; the actual smoke exhaust temperature module is used for acquiring the actual smoke exhaust temperature; the corrosion dust accumulation judging module is used for determining whether corrosion dust accumulation exists on the heating surface of the low-temperature area of the boiler or not; the first ash deposition scoring module is used for determining a first ash deposition score; the second ash deposition scoring module is used for determining a second ash deposition score according to the actual exhaust gas temperature and the predicted exhaust gas temperature; the heating surface ash condition module is used for determining the heating surface ash condition of the coal-fired power plant boiler; and the blowing-out cleaning operation judgment module is used for determining whether blowing-out cleaning operation needs to be carried out or not. According to the invention, the ash deposition condition of the heating surface of the boiler can be detected according to the corrosion ash deposition condition.

According to the present invention, a method for monitoring an operation state of a boiler 1 comprises: an exhaust gas collection step S1 for collecting exhaust gas generated by combustion of fuel fed into a combustion furnace 2 of the boiler 1; and an estimation step S2 for estimating the contained amount of alkali metals and / or chlorine on the basis of the contained amount of fine salt particles in the exhaust gas having been collected in the exhaust gas collection step S1.

The invention discloses a device and method for balancing inner and outer wall temperatures of a power station boiler diarrhea tube inlet header, and belongs to the technical field of power station boiler safety. The device comprises a diarrhea pipe inlet header, a heat preservation header, an adjusting pipeline and a temperature monitoring unit, wherein the heat preservation header is sleeved outside the diarrhea pipe inlet header and forms a closed cavity; the core of the method is that the temperature difference between the inner wall and the outer wall of the header is monitored in real time, when the temperature difference exceeds the limit, an adjusting pipeline is opened, a small amount of working medium in the header is controllably introduced into a heat preservation header cavity, the outer wall temperature of the header is actively adjusted through heat exchange, inner wall changes are dynamically tracked, and therefore the temperature difference is restrained within a safe range. Through closed-loop active control of taking the inner working medium and adjusting the outer wall temperature, the thick-wall thermal inertia is directly resisted, and the technical problems that the temperature difference between the inner wall and the outer wall of the header is large due to rapid load change, and transverse cracks are generated due to thermal stress concentration of a pipe connecting seat are solved.

The application relates to the technical field of water quality detection, and provides a water quality detection method, device, system and storage medium. The method comprises the following steps: synchronously acquiring water quality detection results of a feedwater pipeline section, a blowdown pipeline section, a drainage pipeline section and a circulating water pipeline section of an industrial boiler device during operation; based on the water quality detection results of the pipeline sections, determining water quality key detection points, water quality ordinary detection points and node correlation coefficients between the water quality key detection points and the water quality ordinary detection points corresponding to the pipeline sections, and based on the node correlation coefficients in the nodes corresponding to the pipeline sections, determining final water quality detection results of the pipeline sections; based on inter-node correlation coefficients between nodes between the water quality key detection points corresponding to the pipeline sections, distributing water treatment control strategies and / or water quality detection control strategies to water quality detection control points corresponding to the pipeline sections. The application can comprehensively, accurately and systematically monitor water quality of each key link of the industrial boiler device during operation.