209 results about "Unit load" patented technology

In an intelligent pollution and carbon reduction method based on combustion control and load distribution, a data processing layer, a multi-unit load distribution and operation optimization layer and a single-unit boiler multi-objective combustion optimization layer are used. The data processing layer, the multi-unit load distribution and operation optimization layer and the single-unit boiler multi-objective combustion optimization layer are embedded in a power plant information system in the form of modules. A load distribution and operation optimization method for a multi-source fuel blending combustion unit with economy as an objective is provided to overcome the operation optimization difficulty of the key production process of a multi-source fuel blending combustion cogeneration unit, such as sludge drying-steam distribution.

The invention belongs to the technical field of rolling linear guide rail pair tests. According to the service life and rated dynamic load test bed for the rolling linear guide rail pair and the working method, a guide rail is installed on a bed body, and a guide sliding block is slidably connected to the guide rail in a matched mode; the loading measurement assembly comprises a workbench, a quick-change tool and a to-be-measured guide rail, and the to-be-measured guide rail is installed on the workbench through the quick-change tool; the dragging assembly is fixed to one end of the lathe bed, a movable part of the dragging assembly is connected with the workbench, and the workbench is installed on the guide sliding block and can slide along the guide sliding rail under driving of the dragging assembly. The portal frame is arranged on the upper portion of the lathe bed, and the loading unit and the measuring unit of the loading measuring assembly are arranged on the portal frame. The device is simple in structure and high in stability, the reciprocating motion of the loading test assembly is strong, the loading requirement is met, stable measurement of loading force and dragging force is achieved, real-time measurement of temperature and vibration in the measurement process is achieved, and the measurement precision is guaranteed.

The invention discloses a hydropower station AGC intelligent optimization control method and system based on multi-unit dynamic load distribution and prediction and early warning, and relates to the technical field of AGC control, and the method comprises the steps: initializing system parameters, including a unit power range and upper and lower limits of a vibration region, and designing a dynamic vibration region crossing control algorithm, a prediction model and a multi-unit intelligent load distribution algorithm; acquiring real-time load and operation data, inputting the real-time load and operation data into the prediction model to obtain a prediction result, and triggering a load adjustment or early warning mechanism according to the prediction result; calling a vibration area crossing algorithm, and adjusting the unit power to a safe range; and a multi-unit intelligent load distribution algorithm is used, multi-unit loads are dynamically distributed, a control instruction is output, and real-time adjustment is completed. The method reduces manual intervention, improves the operation efficiency, prolongs the service life of equipment, reduces the operation cost through the optimization model, improves the economic benefits of a power plant, adapts to various working conditions, is short in response time, and adapts to complex scheduling scenes.

The invention provides a method for improving unit load splicing capacity, and relates to the technical field of power system load optimization, and the method comprises the steps: determining a calculation boundary condition of a power grid system in a preset region and an operation mode of a power plant unit based on the information of the power grid system; dividing the power plant units into fast adjusting units and slow adjusting units based on the adjusting time of the power plant units; dividing output gears of the power plant units based on the unit capacities of the rapid adjustment unit and the slow adjustment unit; based on the predetermined health state level of the power plant unit, optimizing the output gear of the power plant unit; in each operation mode, stability checking is carried out based on the output gear of the power plant unit; constructing an optimization model taking active power maximization of the load station as a target function; introducing stability check as a constraint condition of the optimization model; the optimization model is solved through an optimization algorithm, the maximum value of the power plant unit load connection is obtained, and the unit load connection capacity can be fully exerted after the large-capacity thermal power unit is put into operation.

The invention relates to the technical field of power generation environmental protection control, and discloses a model prediction control and real-time optimization pollution reduction and carbon reduction control method and system. The method comprises the steps that unit load fluctuation data and combustion parameters are acquired, efficiency characteristic differences of all units are extracted, and coupling relation mapping between the units is constructed; based on the efficiency characteristic difference and the coupling relation mapping, adopting an optimization algorithm to generate a multi-unit cooperative adjustment scheme and determining a dynamic target value; control parameters are adjusted through simulation and prediction, a refining control parameter set is obtained, a control instruction is updated, and the combustion state is fed back in real time to correct the coupling relation; and analyzing the influence of load fluctuation on parameter regulation and control, generating and executing an intelligent strategy adjustment path, obtaining a power generation efficiency index, comparing the power generation efficiency index with a preset reference, and judging whether re-optimization is needed or not. According to the method, multi-unit collaborative combustion optimization, load adaptability adjustment and fuel utilization rate improvement can be achieved, coal consumption and emission are remarkably reduced, and the overall operation efficiency and environmental protection performance of a power plant are improved.

The invention provides special equipment for group replacement of high-speed railway turnouts and a construction method, and belongs to the technical field of railway engineering. Comprising a heavy rail car, a container type rail welding car, a plurality of special turnout transportation flatcars, a container type rail welding car and a heavy rail car which form a whole-column special marshalling used for integrated operation of transportation, replacement, welding and recovery of grouped rail pieces. A rail welding vehicle folding arm crane, a flash welding machine, rail welding vehicle auxiliary supporting legs and the like are carried on the container type rail welding vehicle; at least two flatcar folding arm cranes, flatcar auxiliary supporting legs, a lifting handrail and a special loading tool are installed on the special turnout transportation flatcar. Special equipment and a construction method are used for achieving integrated operation of the high-speed railway turnout from bulk material pre-assembly to group transportation, replacement, welding and old turnout recycling, the problem that group replacement of an existing high-speed railway turnout is completed at a skylight point is solved, and the defects of a group replacement operation technology of the high-speed railway turnout are overcome.

The invention discloses a multi-unit multi-mode cogeneration power station load distribution method based on an improved Harlisia eagle optimization algorithm, and belongs to the technical field of energy management and optimization. The method comprises the specific steps that an HPHHO model is established, and characteristic equations of units in different heat supply modes (single extraction, absorption heat pump and cylinder switching) are analyzed; fitting an energy consumption characteristic polynomial of each unit through variable working condition calculation; taking the minimum total coal consumption as an objective function, and constructing an electric heating load balance constraint and a unit operation domain non-balance constraint; and optimizing multi-unit load distribution by using HPHHO. The method is compatible with the thermoelectric coupling relation of a multi-mode unit, the optimization problem under complex constraints is effectively solved, and it is ensured that a load distribution result meets external requirements and is in a feasible operation domain. Experiments show that compared with traditional HHO, the improved algorithm has higher convergence speed and stability, the total coal consumption of the system is remarkably reduced, and the economical efficiency and the operation efficiency of the combined heat and power generation power station are improved.

The invention discloses an intelligent load distribution system and method for a centrifugal compressor unit. The system comprises a data sensing module, an intelligent decision-making module, an instruction execution module and a model updating module. The method comprises the steps that operation parameters of multiple parallel centrifugal compressors are synchronously collected in a high-precision mode through an industrial real-time network supporting hardware timestamps, and time-aligned system state observation data are obtained; constructing a state vector based on the data and a load prediction result, inputting a deep reinforcement learning agent fused with compressor physical characteristic constraints, and generating a load distribution instruction and a unit start-stop suggestion; after safety boundary verification is conducted on the original action, the guide vane opening degree is adjusted through a feedforward speed planning and fuzzy self-adaption PID composite servo control algorithm, and starting and stopping operation is executed; meanwhile, empirical data are collected online, and model parameters are periodically and finely adjusted. According to the invention, efficient, safe, accurate and self-evolution compressor group control is realized.

The invention discloses a parallel operation control system for multiple fuel generator units, and relates to the technical field of parallel operation control, the system collects unit operation data in real time through a sensor, and an operation steady state data set is obtained after data preprocessing; calculating an operation steady-state function index ywt based on the operation steady-state data set, and performing parallel operation conformity evaluation on the operation steady-state function index ywt and a preset operation steady-state safety threshold Z; calculating a load distribution index fhf and the actual output power sjg of the unit when the parallel operation requirement is met; performing unit load evaluation according to the load execution rate zxl, and judging whether the load state is abnormal or not; and when the unit load is abnormal, the off-line decision module determines whether to execute off-line and parallel operation instructions by combining the total demand load to of the industrial area and the residual unit load capacity sf. According to the system, through multi-module collaborative optimization, the parallel operation stability and the load management efficiency are improved, and the reliability and the economical efficiency of the power generation system are ensured.

Device for transporting unit loads and in particular containers (10) or packages, comprising a feed device (2) suitable for feeding the unit loads along at least one first feed path (Z) to a distribution area (B), and a discharge device (4) suitable for selectively discharging the unit loads along at least one first discharge path (A1) or a second discharge path (A2), wherein the device has a first distribution device (6) movable between at least two positions (P1, P2), wherein the first distribution device (6) is suitable and designed to push the unit loads to the first discharge path (A1) when the distribution device (6) is in the first position (P1) and to push or guide the unit loads to the second discharge path when the first distribution device (6) is in the second position (P2).

The invention discloses a plant-level multi-unit load optimal distribution method based on unit characteristic difference. The method comprises the following steps: establishing a plant-level digital twinborn model comprising a gas generation system, a gas storage system and a gas energy supply system; establishing a gas volume production prediction model of the gas generation system, obtaining a gas volume production prediction value in each time period, analyzing the gas volume production prediction value, the total consumed gas volume of the gas energy supply system in each time period and the gas storage and release amount of the gas storage system, and determining the total value of the gas volume of the gas energy supply system in each time period; simulation experiment analysis is carried out based on a plant-level digital twin model, load performance characteristic models of all boilers and turbines are established, and performance index differences of all the gas generator sets under all the consumed gas volumes are obtained; establishing an optimal distribution model of the gas volume of the upper-layer gas generator set, and optimally distributing the total value of the gas volume to each gas generator set; and establishing a lower-layer gas production-storage and release optimization model, and performing optimization control on a gas generation system and a gas storage system.

The invention discloses a method for constructing a real-time prediction model for the loading capacity of a coal power unit based on machine learning. The method comprises the following steps: acquiring and preprocessing historical operation data of the coal power unit; constructing the data into time sequence samples, wherein each sample comprises an input sequence formed by a feature vector sequence and a corresponding future unit loading capacity target vector; and constructing a long-short-term memory network model, and training the model by using the sample to accurately predict the future load capacity of the unit. Furthermore, a unit load capacity real-time evaluation model is constructed to determine a current safe operation boundary, and the predicted future load capacity is combined with the boundary to provide decision support for unit operation. The invention further provides a construction system comprising the corresponding function modules. According to the method, the prediction accuracy is improved, the combination of prediction and a real-time security boundary is realized, and an optimal operation strategy can be generated.

This system provides a setup system for a parts supply unit that automates the loading process of inserting parts containers into the parts supply unit, as well as related tasks before and after this process. [Solution] The setup system for a parts supply unit includes a unit storage unit that stores multiple parts supply units used when supplying parts stored in parts containers, a container loader that loads parts containers into the parts supply units, an unloading station for unloading unloaded parts supply units which are parts supply units loaded with the parts containers required by the parts mounting machine, a unit transport robot that transports parts supply units between the unit storage unit and the unloading station, and a setup control unit that controls the unit transport robot to move the unloaded parts supply unit from the unit storage unit to the unloading station, omitting the loading operation by the container loader if an unloaded parts supply unit is stored in the unit storage unit.

Device for conveying unit loads with a base body and a conveyor chain arranged on it for conveying the unit load along a conveyor path, wherein the conveyor chain has a plurality of pivotally connected support elements, of which at least a minority of the support elements are designed and configured to hold the unit load, with a drive device for generating a conveying movement of the conveyor chain with a first guide device that deflects the conveying movement of the conveyor chain by at least two deflection axes spaced parallel to each other, and with a second guide device for the translational movement guidance of the conveyor chain along at least one conveyor path section extending between the deflection axes, characterized by the fact that the first guide device (20) has guide means (32) arranged on at least a minority of the support members (10) and guide means (34) arranged rotatably in a circumferential direction to the deflection axis (22, 24) on at least one of the deflection axes (22, 24), which are designed and configured to interact with each other for the deflecting movement guidance of the support member (10) about the deflection axis (22, 24), and the second guide device (26) has guide means (38) arranged on at least a minority of the support members (10) and guide means (38) arranged on the base body (4), which are designed and configured to interact with each other for translational, in particular linear, movement guidance of the support member (10), such that the guide means (38) of the second guide device (20) arranged on the respective support member (10) determine the movement guidance of the conveyor chain (6) in the conveyor path section (28, 30) when passing through the conveyor path section (28, 30).

The application provides a coupling system and a control method for improving the variable load rate of a secondary reheat unit integrated with a medium-temperature energy storage, wherein the medium-temperature energy storage system is connected with the high-pressure cylinder outlet through a high-pressure cylinder outlet steam extraction valve during the energy storage process, is connected with the deaerator outlet through a pressure relief valve, is connected with the feed water pump outlet through a deaerator outlet regulating valve during the energy release process, and is connected with the boiler feed water inlet through a pipeline, so as to form a secondary reheat unit integrated with the medium-temperature energy storage; and a load splitting method is provided, which splits the whole unit load instruction into a medium-temperature energy storage system load instruction and a secondary reheat unit boiler coordination system load instruction, and the medium-temperature energy storage system load instruction is realized through high-pressure cylinder exhaust valve opening degree control and deaerator outlet regulating valve opening degree control in the load decreasing and increasing processes; through the coupling system and the load splitting method, the time-space transfer of the unit energy in the variable load process is realized, the variable load rate of the secondary reheat unit is improved, and the flexibility of the unit is enhanced.

The present invention discloses a primary air pressure automatic control system and method. Based on the study of the primary air pressure response characteristics, the dynamic feedforward prediction technology is adopted to make the primary air fan output respond in advance during the load change process, thereby accelerating the boiler response speed. At the same time, the fuzzy control theory is adopted to correct the primary air pressure by adopting different main steam pressure deviation functions according to the different load changes, so as to reduce the variation amplitude of the main parameters of the unit in the load change process to a certain extent, which is conducive to the rapid stabilization of the unit; a correction loop for the main steam pressure deviation to the primary air pressure setting value is added to ensure the rapid response of the main steam pressure and reduce the disturbance of the main parameters of the unit; the primary air pressure setting reference value is given by the average coal amount of the running coal feeder through a function converter, and at the same time, the correction of the primary air pressure setting value by the unit load instruction is added to ensure the rationality of the primary air pressure in the full load section, realize the automatic control of the primary air pressure in all working conditions, and meet the requirements of the unit for rapid load change and energy saving and consumption reduction.

The invention discloses a dynamic operation control method for a slurry circulating pump based on load segmentation. The method comprises the following steps: collecting unit load, SO2 concentration of inlet flue gas, pH value of slurry in an absorption tower, slurry density and vibration value of the slurry circulating pump in real time; the unit load is divided into a low load section (450-600MW), a medium load section (600-800MW) and a high load section (800-1030MW), and the SO2 concentration of inlet flue gas is divided into three grades of less than or equal to 1800mg / m < 3 >, 1800mg / m < 3 >-2000mg / m < 3 > and more than 2000mg / m < 3 >; according to the method, outlet SO2 < = 35 mg / m < 3 > is taken as a core hard constraint, and the problem of short-time standard exceeding caused by response lag in the traditional technology is thoroughly solved through a 15-second feed-forward pre-control mechanism (for example, a pump is started in advance when the load change rate is larger than 8% / min) of load segmentation and SO2 concentration grading and emergency logic of strengthening adjustment after the standard exceeds 30 seconds. In practical application, the standard reaching rate of export SO2 is increased to 99.8% or above from 90%-95% in the prior art, and the latest environmental protection standard requirements are completely met.

The application discloses a kind of insulator hanging direction judgment method and system in strain insulator string, equipment, it is related to power transmission engineering technical field, it includes according to line parameter data to judge the control operating condition of overhead line;Calculate the hanging point tension of considering string weight under corresponding control operating condition;The hanging point tension of considering string weight is judged, if hanging point tension does not comply with preset requirement, then relax the safety factor of overhead line, until hanging point tension complies with preset requirement, then calculate the inclination angle of midpoint of strain insulator string considering string weight under average temperature operating condition;The hanging direction of insulator is judged according to the inclination angle of midpoint of strain insulator string considering string weight under average temperature operating condition.The application can consider the influence of strain string unit load on sag and tension, calculate the tension of overhead line under non-uniform load, and judge the hanging direction of insulator in strain insulator string, to achieve more accurate calculation, ensure the accuracy and safety of design.

The application discloses a kind of weak steady-state energy conservation's coal-fired boiler calorific value correction method and device, the method includes the following steps: extracting weak steady-state parameter main parameter from the real-time data of unit operation, each main parameter is filtered in time detection window and weak steady-state condition is judged, when all main parameters meet weak steady-state judgment condition during detection, the mean value of energy conservation parameter under the corresponding detection number is output;Using the mean value of energy conservation parameter carries out boiler heat balance calculation, obtains the actual fuel heat value corresponding to current unit load;Actual fuel heat value Q net.ar The ratio COR of the original design fuel heat value Q design Of unit is used as coal-fired boiler calorific value correction amount, and the fuel quantity of unit is adjusted by coal-fired boiler calorific value correction amount;The application has the advantages that: avoid system repeated oscillation, improve calorific value correction precision.

A ring main unit load switch mechanism comprises a front plate, a middle plate and a rear plate, the rear plate is provided with a grounding operation assembly and an isolation operation assembly, the grounding operation assembly comprises a grounding operation main shaft, one end of the grounding operation main shaft extends to the middle plate and is connected with a pushing part, the middle plate is provided with an indicating piece linked with the pushing part, and the indicating piece is connected with the isolation operation assembly. And when the grounding operation main shaft is switched from the opening state to the closing state, the grounding operation main shaft rotates to drive the indicating piece to be switched to the closing indicating state. The indicating piece is not directly installed on the grounding main shaft, but is linked with the indicating piece of the middle plate through the pushing part at the end part of the main shaft, so that the action of the indicating piece is matched with the actual rotation stroke of the grounding main shaft. Only when the grounding operation main shaft really rotates in place, the pushing part can drive the indicating piece to be switched to the corresponding station, so that the misjudgment condition that the indicating piece indicates in advance but the grounding shaft is not completely in place in the prior art is avoided.

The invention provides a homogenization control method and system for a discharging conveying belt of a car dumper, and relates to the technical field of port intelligent control, and the homogenization control method comprises the following steps: numbering hoppers according to the conveying direction of the conveying belt, and dividing and numbering the area of the conveying belt; obtaining the area unit bearing capacity of the conveying belt area based on the area theoretical bearing capacity of the conveying belt at the conveying belt area; determining the required bearing capacity of a conveying belt area below each hopper based on the area unit bearing capacity; acquiring the actual bearing capacity of the conveying belt at each conveying belt area when the detection period is finished; and the discharging weight of each hopper in the next period is determined according to the actual bearing capacity of each conveying belt area, the flow of each hopper in the next period is further obtained, and finally the ideal opening degree of each hopper in the next period is obtained. Each hopper is independently controlled through each conveying belt, so that materials are uniformly distributed on the conveying belts.

An autonomous transport vehicle for transporting merchandise units for filling shipping totes or containers, the autonomous transport vehicle comprising: a frame configured to move as a unit over at least one of transport decks and ramps; a controller connected to the frame and configured to cause the movement of the autonomous transport vehicle over at least one of the transport decks and ramps so that the autonomous transport vehicle moves freely via autonomous navigation from a first position to a different second position, the first position being a supply position for merchandise units and the second position being a tote filling position based on an order; and a payload connected to the frame for holding merchandise units loaded onto the autonomous transport vehicle, the payload having an end effector positioned to extend and unload merchandise units from the payload.

The invention relates to the technical field of sealing water adjustment, and particularly discloses a condensate pump sealing water intelligent adjusting system which comprises at least two sealing water supply branches, an adjustable flow control assembly, a manual flow control assembly and an anti-backflow assembly. The sealing water supply branches are selectively connected into the water inlet end of the adjustable flow control assembly through the anti-backflow assembly, and the water outlet end of the adjustable flow control assembly is connected to the sealing end of the condensate pump through the manual flow control assembly so that the sealing requirements of the condensate pump in different operation stages can be met through the different sealing water supply branches. The adjustable flow control assembly is combined with two-stage adjustment logic to adapt to frequent and great change of unit loads, core adjustment and control components of the sealing water system are prevented from being damaged due to continuous pressure impact, the equipment overhaul frequency and replacement cost are reduced, and the system operation continuity is improved. Compared with a traditional manual gate valve, adjustment hysteresis and randomness are achieved.

The present invention discloses a plant-level multi-unit load optimization distribution method based on unit characteristic differences, including: establishing a plant-level digital twin model containing a gas generation system, a gas storage system, and a gas energy supply system; establishing a gas output prediction model for the gas generation system to obtain a gas output prediction value in each time period, and analyzing it with the total gas consumption of the gas energy system in each time period and the gas storage and discharge volume of the gas storage system to determine the total gas volume of the gas energy system in each time period; conducting simulation experimental analysis based on the plant-level digital twin model, establishing a load performance characteristic model of each boiler and steam turbine, and obtaining the performance index difference of each gas generator unit under each gas consumption volume; establishing an upper-layer gas generator unit gas volume optimization distribution model to optimize the distribution of the total gas volume to each gas generator unit; establishing a lower-layer gas production-storage-discharge optimization model to optimize the control of the gas generation system and the gas storage system.

The utility model discloses a mechanical load limiter for relieving overload impact of unit loads. The mechanical load limiter comprises a pair of adapter plates, at least one group of energy absorption units arranged between the adapter plates, a locking rod arranged on the outer side of one adapter plate, and a universal hanging ring arranged on the outer side of the other adapter plate, the energy absorption unit is used for being pulled during overload impact and absorbing impact energy through metal yield deformation, and the two ends of the energy absorption unit are hinged to the adapter plate. One end of each locking rod is hinged to the corresponding adapter plate, the other end of each locking rod is a hook capable of being locked and unlocked, and the hooks are used for being connected with machine body structure installation points. One end of each universal hanging ring is fixedly connected with the corresponding adapter plate, the middle of each universal hanging ring is of a universal joint structure, and the other end of each universal hanging ring is a hanging ring used for being connected with a unit loading object directly or through a mooring piece. The limiter can relieve overload when unit loads are subjected to overload impact, and the unit loads are prevented from moving or being collided and damaged.

The application discloses a water chilling unit load distribution method and device, and relates to the technical field of water chilling units. The method comprises the following steps: obtaining target working condition data of multiple working moments associated with multiple water chilling units at a current running moment; calculating corresponding cooling loads according to the target working condition data, and constructing a total cooling load sequence according to each working moment based on the cooling loads; decomposing and reconstructing the total cooling load sequence by using a singular spectrum analysis algorithm to determine a reconstructed total cooling load sequence and a noise component; performing load prediction according to the reconstructed total cooling load sequence by using a preset total cooling load prediction model, and outputting a predicted total cooling load in combination with the noise component; and outputting the load rate of each water chilling unit by using a preset load distribution control reinforcement learning model based on the target working condition data, the cooling load and the predicted total cooling load at the current running moment. The load distribution flexibility of the water chilling unit can be improved in the load distribution process of the whole water chilling unit.

The present application belongs to the technical field of unit optimization control, and discloses a unit load section control system and method, an electronic device and a storage medium; the method comprises: collecting working condition analysis data of a unit in real time; processing the working condition analysis data to obtain processed data; analyzing the processed data to evaluate the unit operation condition; collecting unit characteristic parameters in real time; optimizing and adjusting the unit characteristic parameters according to the unit operation condition; predicting the state transition time according to the optimized and adjusted unit characteristic parameters; formulating an equipment start-stop optimization strategy according to the state transition time to intelligently control the equipment start-stop; the present application adopts a digital and data-driven mode for intelligent control, effectively solves the control problems in the unit load section, thereby improving the operation efficiency and performance of the unit, and further improving the operation safety and control robustness of the unit.

The invention relates to the technical field of intelligent control of a generator set, in particular to an intelligent regulation and control method for increasing the load response rate of the generator set. According to the method, the mid-term load trend is predicted through the gating circulation unit, the preheating target state of the unit is generated in advance through data mapping, and the thermal inertia of the unit is fundamentally overcome; meanwhile, short-term high-precision prediction is carried out by adopting a time convolutional network, and a feedforward signal is generated. In order to construct safety constraints, thermal stress of key components of a unit is evaluated in real time and converted into the currently allowed maximum load change rate. And finally, constructing a multi-objective optimization function containing load deviation, fuel consumption and controlled quantity fluctuation, and solving an optimal control instruction in the dynamic constraint set by adopting a simulated annealing algorithm. According to the method, long-term planning and rapid execution of the unit are achieved, the load response rate and control precision of the unit are remarkably improved on the premise that thermal stress safety is guaranteed, and the method has the online self-adaptive capacity.