257 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.

In one example, a pallet jack cap system includes a stabilization outrigger secured around steer wheels of a pallet jack, a bonnet in an elevated position over forks of the pallet jack, an anchor base for attachment to the pallet jack, and a vertical extension system between the anchor base and the bonnet. The vertical extension system supports the bonnet in the elevated position over the forks of the pallet jack. The vertical extension system can include an elevating vertical support assembly, an elastic counterpoise to assist with positioning the bonnet at a particular elevation based on an extension of the vertical support assembly, and an extension lock to secure the vertical support assembly at the particular elevation. The bonnet can be lowered down over a unit load on a pallet transported by the pallet jack, to secure the unit load and items in transport by the pallet jack.

The invention discloses a coal-fired power generation unit operation optimization method and system based on industrial big data, and relates to the technical field of industries. A starting priority analysis module dynamically adjusts a unit starting sequence and obtains unit starting priorities by analyzing real-time data sets and power grid load requirements; the system can quickly judge the starting sequence of the units according to the numerical values and effectively recognize the units with possible fault risks, and the fault recognition module performs fault assessment on the unit operation state and equipment state data in combination with the real-time data set and the historical data set and calculates the current fault assessment index. Through comprehensive analysis of a historical trend and a real-time state, the system can accurately judge whether maintenance operation needs to be carried out on a unit or not, so that early prediction and timely intervention of potential faults are realized, an effect feedback and optimization module evaluates feedback data of an actual operation effect, constructs a performance feedback index, and improves the maintenance efficiency of the unit. And dynamic adjustment and optimization of unit load distribution are realized.

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.

A station configured to receive a used pad separated from a robot cleaner and supply a new pad to be coupled to the robot cleaner includes a station body, a pad replacement unit loaded with the used pad separated from the robot cleaner, a pad storage unit including a received pad container configured to store the used pad and a pad supply container configured to store the new pad, and a pad transfer unit arranged in the station body to reciprocate between the pad replacement unit and the pad storage unit, wherein the pad storage unit is configured to change positions of the received pad container and the pad supply container such that the received pad container and the pad supply container are located on a movement path of the pad transfer unit at different times.

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 discloses an implementation method of a single auxiliary machine steam pump RB of a circulating fluidized bed unit, which comprises the following steps: after the steam pump trips, the action condition of the steam pump RB: opening a front electric door and a rear electric door of a boiler water supply bypass adjusting door when the RB acts; when the RB acts, the current of the electric pump is 200A and the outlet pressure of the electric pump is more than 20MPa, an outlet regulating valve of the electric pump is opened to 35%; coordinating to a turbine following TF mode, and forcibly switching a unit operation mode to a sliding pressure mode; after RB occurs, AGC is automatically cut off, meanwhile, an instruction is sent to a DEH system, and a sequence valve is cut into a single valve; and when the load of the unit is reduced to the target load for 3 seconds or the operator presses down a steam pump RB ending button, the RB process is ended. The system has the advantages that after the single steam pump trips, the unit load is changed to the target load without manual intervention of an operator, so that the operation intensity of the operator in an accident state is greatly reduced, and the probability of misoperation of the operator is reduced; the load range of a boiler BT is increased from 80MW to 160MW when a steam pump trips out, so that a larger safe and stable operation space is provided for a unit; bT accidents are avoided, and the purpose of saving coal consumption is achieved.

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 a power plant unit load distribution system and method, and the method comprises the steps: monitoring and collecting a data set of key operation parameters of each unit in real time through a sensor monitoring system; a data processing and analysis algorithm based on artificial intelligence and deep learning is introduced at the rear end to carry out collaborative correlation analysis on the data sets of the key operation parameters of the different units, so that the operation state characteristics of the units are extracted; and carrying out priority ranking on the units based on the running state characteristics of the different units and the variable load direction of the thermal power plant. Therefore, the priority order of each unit can be dynamically adjusted based on the operation state and the variable load direction of each unit of the power plant, so that more flexible and intelligent power plant unit load distribution and scheduling are realized to cope with continuously changing power markets and user requirements; the rationality and reliability of load distribution can be ensured, and the operation efficiency and economy of a power plant are ensured.

The embodiment of the invention provides a coal feeder tensioning force adjusting handle and an adjusting system. The coal feeder tensioning force adjusting handle comprises a handle body, an adjusting piece and a handle piece. The first end of the handle body is fixedly connected with the handle piece, and the second end of the handle body is fixedly connected with the adjusting piece. When a belt of the coal feeder slips, the adjusting piece is used for being connected with the end of a tensioning device of the coal feeder in a matched mode so that the tensioning force can be adjusted. When a belt of the coal feeder slips, the tensioning force adjusting handle of the coal feeder is used on the spot to adjust the tensioning force of the coal feeder, the coal feeder does not need to be disassembled, operation is convenient, shutdown is not needed, and the unit load is not limited.

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 provides a carbon emission reduction accounting method, device and equipment based on unit load regulation, and the method comprises the steps: obtaining a first unit load rate of a thermal power generating unit before unit load regulation and a second unit load rate of the thermal power generating unit after unit load regulation in response to the regulation operation of the unit load of the thermal power generating unit; according to the first unit load rate, determining the reference carbon emission of the thermal power generating unit within the accounting duration before unit load adjustment; according to the second unit load rate, determining the target carbon emission of the thermal power generating unit within the accounting duration after the unit load is adjusted; and based on the reference carbon emission and the target carbon emission, determining the carbon emission reduction generated by the thermal power generating unit in the accounting duration due to the adjustment of the unit load. Therefore, by means of the unit load rate, the carbon emission reduction of the thermal power generating unit caused by unit load adjustment or unit load change can be timely and effectively determined.

The invention relates to a unit load scheduling method and device, a medium, equipment and a program product, and relates to the technical field of hydraulic engineering, and the method can comprise the steps: determining a plurality of first load distribution schemes corresponding to the unit load of a target unit; determining the fitness corresponding to each first load distribution scheme, wherein the fitness is used for evaluating the advantages and disadvantages of the first load distribution scheme; determining a target load distribution scheme meeting a target constraint condition according to the plurality of first load distribution schemes and the fitness corresponding to each first load distribution scheme; and controlling the target unit to execute the target load distribution scheme. Therefore, the optimal load distribution scheme can be accurately found out from the plurality of first load distribution schemes through a small calculation amount. Meanwhile, under the condition that the target constraint condition is met, reasonable distribution of unit loads can be achieved, and therefore maximum resource utilization of unit operation is achieved, and economic operation is achieved.

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.

The invention discloses a thermal power generating unit continuous variable load amplitude identification control method, system and device in an AGC mode and a storage medium, and the method comprises the following steps: obtaining unit operation parameters, and judging the variable load direction and variable load amplitude of a current unit according to the unit operation parameters; calculating the variable load equivalent amplitude of the current unit in real time according to the thermal inertia of the boiler system and the unit parameters in the AGC mode; according to the method, operating parameters in the unit load changing process are analyzed, working condition data influencing unit control are recorded, and a corresponding control strategy is added in an identification control method according to analysis and calculation of the working condition data. According to the method, accurate variable load amplitude and shape feedforward can be provided in the variable load process of the unit in the AGC mode, and the change trend of parameters such as the steam temperature and the steam pressure of the unit is estimated, so that the accuracy of steam temperature adjustment, steam pressure adjustment and load adjustment of the unit in a predictive control strategy is 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 relates to the technical field of air preheater fault processing, in particular to an air preheater fault processing method and system, and the method comprises the steps: isolating a fault air preheater through reducing the load of a unit; an adjustable cutter is installed on the innermost ring of an air preheater rotor, and a center cylinder static seal winding drum is turned; by utilizing the rotation of the rotor of the air preheater, the adjustable cutter is used for carrying out annular cutting turning on the collision and grinding part; the turning process is adaptively adjusted through remote real-time monitoring. The method has the beneficial effects that by means of reducing the unit load and isolating the faulted air preheater, the problem of the sealing gap of the center cylinder is solved on line without shutdown, and frequent start and stop of the whole unit are successfully avoided. And meanwhile, the collision and abrasion part of the static sealing winding drum of the center cylinder is annularly cut through the tool frame, the risk of operation jamming caused by the fact that the dynamic and static gap is reduced due to sinking of a boiler truss is eliminated, and it is ensured that the air preheater stably operates under the adjusted sealing gap.

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 invention relates to a method for calculating the reliability of finished bridge cable force by considering the variation of the initial tension cable force of a suspender, which comprises the following steps of: establishing a forward finite element model, obtaining a stage variation through the difference of the cable force of the suspender in the later and previous construction stage, obtaining the variation of the influence of a single suspender on the cable force of the suspender under the action of unit load, and constructing an influence matrix; carrying out Monte Carlo method sampling on the initial tension force of the suspender to obtain a random initial tension force sample set under a certain suspender tension precision; and calculating the final finished bridge cable force under each sample, judging whether the final finished bridge cable force under each sample reaches the target finished bridge cable force deviation requirement range or not, and obtaining the finished bridge cable force reliability of the bridge suspender under a certain suspender tension precision. According to the method, the relation between the initial cable tension of the lifting rod and the finished bridge cable force is established through the influence matrix, the process of calculating the finished bridge cable force is simplified, on this basis, the Monte Carlo method is combined for sampling and calculating the reliability of the finished bridge cable force, the calculation time is shortened, and the analysis efficiency is improved.