456 results about "Low load" patented technology

The invention discloses a secondary frequency modulation optimization control method under a low-load working condition, relates to the technical field of power grid resource optimization, and is used for solving the problem that a control strategy under the low-load working condition is not fully considered in the prior art. The current load interval is recognized, and control parameter correction is conducted on the unit located in the low load interval; calculating a total output power reference value; carrying out calculation by adopting a self-adaptive optimization algorithm, and carrying out power fine distribution to obtain an optimal charging and discharging instruction of each energy storage unit; and the output power is adjusted in real time through double-closed-loop control. The invention further discloses a secondary frequency modulation optimization control device under the low-load working condition, electronic equipment and a computer storage medium. By dynamically correcting the control parameters of the low-load thermal power generating unit and cooperatively distributing the hybrid energy storage power in combination with the adaptive optimization algorithm, the safety and economical efficiency of the energy storage system are guaranteed.

The invention relates to an energy efficiency optimization method for a dynamic load of a central air conditioner, which comprises the following steps of: establishing a response relationship among a cold and heat source, a transmission and distribution system and end equipment, identifying a nonlinear decoupling characteristic of a cold and heat response behavior by monitoring operation deflection of each level of equipment under a low-load working condition, and defining and updating a cooling capacity response deviation threshold in real time; on the basis of the cooling capacity response deviation threshold, delay compression control is conducted on response actions of the refrigerant side and the air medium side, and by adjusting the air side response time sequence in advance, dynamic thermodynamic equilibrium is formed between refrigerant transfer delay and air medium response in advance; by establishing the response relationship among the cold and heat source, the transmission and distribution system and the end equipment and introducing a cold capacity response deviation threshold dynamic updating mechanism, nonlinear coupling mismatch in a cold and heat transmission chain can be accurately identified, so that the system is more flexible to operate under low-load and variable-load conditions, frequent start and stop or redundant operation of the cold and heat source is avoided, and the system reliability is improved. And therefore, the overall COP value of the system is remarkably increased, and unit cooling capacity consumption is reduced.

The invention discloses a high-precision transformer fault detection method and system, relates to the technical field of transformer detection, is used for solving the problems of insensitive fault characterization and delayed diagnosis under a light load condition, and judges whether to enter a load judgment mechanism or not by acquiring input side access voltage information and counting low-load accumulated duration. When entering a load discrimination mechanism, detecting the start-stop behavior of a load branch and the temperature rise trend of a winding, calculating a light load index, identifying a light load state, carrying out region division on an iron core, collecting magnetic flux density data, and calculating iron loss balance characteristics aiming at iron loss deviation which is easy to occur under a light load condition; the insulation degradation coefficient is calculated by fusing the oil temperature peak value and the dielectric loss factor, and the abnormal index is generated with the iron loss balance characteristic, so that the early warning of the early hidden fault of the transformer can be realized in a light load scene in which the traditional temperature rise and current indexes are insensitive, and the operation reliability and maintenance efficiency of the transformer in a power distribution system are improved.

The invention provides a TTT-based switching method and device, a communication system and a storage medium. The method can be applied to the technical field of wireless communication. In the scheme, the terminal equipment can obtain the moving speed measured by the L1 layer and the adjacent region load and the business service quality requirement measured by the L3 layer, and reports the data to the source base station, so that the source base station can dynamically adjust the TTT according to the data, and the network adaptability is improved. For example, in a high-speed moving scene, the switching delay is reduced by shortening the TTT; when the load is low, the TTT is prolonged, so that the signaling overhead can be reduced, and resource waste caused by static configuration is avoided. Besides, the terminal equipment can predict future resource requirements based on historical data and trigger the target base station to perform dynamic resource pre-allocation on the terminal equipment in advance, so that the reserved resource access cell is directly used, the traditional random access process is skipped, the negotiation time during switching is reduced, and seamless switching is realized.

The invention discloses an electric vehicle coordinated charging control method and system based on charging demand grading, and the method comprises the steps: S01, detecting whether there is an electric vehicle connected to a charging pile or not in real time, and collecting the connection state parameters of the electric vehicle; s02, the type of the charging pile is judged, if the charging pile is a household charging pile, a corresponding charging power demand index value is calculated, and if the charging pile is a public charging pile, an occupation duration penalty coefficient is calculated; s03, determining the upper limit value of the public charging power according to the occupation duration penalty coefficient of the electric vehicle at the historical moment; and step S04, setting an objective function and constraint conditions by minimizing the peak-valley difference of the total load of the micro-grid and maximizing the load smoothness, solving to obtain charging power control parameters of all the currently accessed electric vehicles, and constructing and forming an ordered charging model. According to different charging requirements of users, the user charging behavior can be dynamically optimized, the load peak-valley difference is reduced, and the power grid operation stability is improved.

The invention discloses a control method of a multi-split air conditioner based on load self-adaption and an air conditioning unit, and relates to the technical field of air conditioner control. The technical problems that when the multi-split air conditioner operates at small load at night, due to the fact that the output capacity is not matched with the required load, the control mode is passive, and self-adaptive adjustment is insufficient, a unit is started and stopped frequently, room temperature fluctuates, and a user feels uncomfortable are solved. Each indoor unit is independently controlled, a load self-adaptive matching algorithm is adopted, room loads are calculated through real-time monitoring, matched output capacity loads are generated according to real-time load changes in respective rooms, and independent control logic is generated; the outdoor unit calculates the supply capacity according to the parameter change of each indoor unit, realizes load self-adaptive adjustment based on the combined control of the compressor frequency and the fan rotating speed, and automatically optimizes and iterates the room load through the real-time matching and automatic optimization of the output capacity of the outdoor unit and the room load on the premise of not increasing hardware. And real-time supply and demand matching of loads in each room is realized.

The invention relates to the technical field of design and manufacturing of automatic carrying mechanical devices for heavy-load parts on automobile production lines, in particular to an automatic carrying device for heavy-load parts on automobile production lines, which is used for automatically grabbing and transporting large-mass parts on the automobile production lines. Comprising a carrying mechanism and a control mechanism, and the carrying mechanism comprises a carrying machine translation track, a carrying machine lifting air cylinder, a carrying machine body, a rotating device, a clamping jaw telescopic track and a carrying machine clamping jaw; the upper end part of the transporter lifting cylinder is mounted on a rack of the production line, and a running track is arranged on the rack of the production line; the control mechanism is composed of a controller and a hydraulic pipe connecting base. The controller is mounted on the equipment mounting frame; a cable on the controller is connected with the hydraulic pipeline and hydraulic-electric pipeline connecting seat; according to the transporter clamping jaw structure designed by the device, grabbing and transporting of a full-automatic automobile chassis structure are achieved, the defects that in the current automobile manufacturing process, when heavy objects are hoisted by manpower at high frequency, the efficiency is low, and the load is high are overcome, and the production efficiency and the automation degree are greatly improved.

The utility model relates to the technical field of steam turbines, and discloses a thermodynamic system of a coupling back pressure turbine for wide-load peak regulation, which is provided with a boiler, a back pressure turbine, a high-pressure cylinder, an intermediate-pressure cylinder, a low-pressure cylinder, a generator and a recovery mechanism, the boiler is respectively connected with the back pressure machine, the high-pressure cylinder and the intermediate-pressure cylinder; the back pressure machine is connected with the high-pressure cylinder; the medium-pressure cylinder is connected with the low-pressure cylinder; the low-pressure cylinder is connected with the generator; the recycling mechanism is connected with the low-pressure cylinder and the boiler and used for condensing steam discharged by the low-pressure cylinder and recycling and conveying the steam to the boiler. In a high-load operation state, the thermodynamic system, the back pressure turbine and the high-pressure cylinder operate in parallel, and the boiler conveys steam to the back pressure turbine and the high-pressure cylinder. In the thermodynamic system in a low-load operation state, the back pressure machine and the high-pressure cylinder are connected in series for operation, the boiler conveys steam to the back pressure machine, and the back pressure machine conveys steam to the high-pressure cylinder. According to the utility model, the pressure of steam entering the steam turbine during low-load operation can be improved, and the feed water temperature and the operation economy can be improved.

The invention relates to the technical field of industrial automation, and discloses a multi-mode switching control method for a variable displacement piston pump driven by a servo motor, which comprises the following steps of: acquiring multi-dimensional operation state parameters and load power of a variable displacement piston pump system; performing dynamic mode decomposition on the load power signal, and executing preset state switching compensation mapping to complete mode switching on the basis of the extracted mode characteristics and the current state parameter under the condition of judging that the switching condition is satisfied; executing a corresponding control strategy in the new mode, and dynamically adjusting the pump displacement and the rotating speed of the servo motor through feedback control; and detecting the response and energy efficiency performance of the regulation and control system according to the performance index in the system operation process. By adopting a dynamic mode intelligent switching mechanism, the system can automatically match the optimal operation mode in different working environments, the energy utilization efficiency is greatly improved, and the effects of effectively reducing energy waste and reducing the total energy consumption of the system during stable load or low load operation are achieved.

The utility model relates to the technical field of anti-loosening bolts, in particular to an anti-loosening bolt for a wind driven generator, which comprises a bolt and a nut, the bolt comprises a head and a screw rod, the nut is in threaded connection with the surface of the screw rod, a sliding groove is arranged on the surface of the screw rod, and a circular ring base plate is sleeved on the surface of the screw rod. And a limiting block is fixedly connected to the inner arc surface of the circular ring base plate, the limiting block is clamped in the sliding groove, an inserting groove is formed in the surface of the circular ring base plate, and a locking mechanism is fixedly connected to the surface of the nut. The bolt and the nut can be fixed through matching of the circular ring base plate and the locking mechanism on the nut, so that connection between the bolt and the nut is firmer, the problem of bolt loosening caused by various complex working conditions such as vibration, high and low load changes and strong wind impact in the operation process of the wind driven generator can be effectively solved, and the service life of the wind driven generator is prolonged. The reliability of bolt connection is greatly improved, and stable connection of all parts of the wind driven generator is ensured.

The invention provides a self-adaptive control method and device for a supercharging system of a natural gas engine, and belongs to the field of engines. The rotating speed, the air inlet flow, first information and the required torque gradient of the natural gas engine are obtained, whether the natural gas engine is in the low-load working condition or not is judged based on the rotating speed and the air inlet flow, and the first information comprises the accelerator opening degree change rate, the rotating speed change rate, the supercharging pressure and the load change slope; when the natural gas engine is in the low-load working condition, determining whether the current working condition is a steady-state working condition or a transient working condition according to the first information; and under the condition that the current working condition is the steady-state working condition, the opening degree of the deflation valve is controlled to be in a full-open state, under the condition that the current working condition is the transient working condition, the transient working condition is divided into multiple transient grades according to the accelerator opening degree change rate and the required torque gradient, and the opening degree of the deflation valve is controlled according to the transient grades. According to the scheme, the problem that the economical efficiency and the dynamic property of the natural gas engine under low load are difficult to balance is solved.

The automobile part torsional fatigue test bench comprises a bench body, a driving mechanism is arranged at one end of the top surface of the bench body, a workpiece carrying structure is arranged at the other end of the top surface of the bench body, a force application structure is arranged at the position, close to the driving mechanism, of the top surface of the bench body, and the driving mechanism comprises a driving bin. The end, away from the force application structure, of the driving bin is fixedly connected with a servo motor, and the two sides of the middle of the interior of the driving bin are fixedly provided with a cycloidal-pin wheel speed reduction assembly and a planetary speed reduction assembly correspondingly. The driving mechanism is driven by the servo motor, a huge oil supply hydraulic system does not need to be used, the occupied area is small, the output torsion load can be switched through the cycloidal-pin wheel speed reduction assembly or the planetary speed reduction assembly, the load output through the planetary speed reduction assembly is low, constant loads can be repeatedly applied to a workpiece for a long time, and the working efficiency is improved. The output load of the cycloidal-pin wheel speed reduction assembly is high, destructive testing of the maximum load can be carried out, and two detection modes can be considered.

The utility model belongs to the technical field of automation equipment, and discloses a material conveying connection buffering device which comprises a rack, a containing piece, a connection feeding picking mechanism and a connection discharging picking mechanism, the rack is provided with a connection feeding area and a connection discharging area, and at least two conveying tables are arranged on the rack at intervals. The two opposite conveying ends of the conveying table extend to the connection feeding area and the connection discharging area correspondingly. The multiple containing pieces are arranged, and each conveying table can support the multiple containing pieces and convey the containing pieces from the connection feeding area to the connection discharging area. The connection feeding picking mechanism is movably arranged on one side of the connection feeding area and can pick up products and place the products into the containing pieces located in the connection feeding area. The connection discharging picking mechanism is movably arranged on one side of the connection discharging area and can take out products placed in the containing pieces located in the connection discharging area. According to the material conveying, connecting and buffering device, automatic operation of buffering feeding and discharging and connecting conveying can be achieved, and manpower consumption is reduced.

The invention provides a charging load demand response method based on a virtual power plant technology. The charging load demand response method comprises the steps of generating a virtual load node corresponding to a to-be-regulated charging load and an initial response curve sequence in a preset response scheduling layer through a virtual power plant coordination system; and performing time sequence rearrangement on the initial response curve sequence according to a time axis, executing a coupling operation through a topological coupling engine, and outputting a coupling result. And verifying whether the coupling result is adaptive to a preset response time condition, generating a first to-be-optimized response curve by adopting a node replacement strategy when the coupling result is adaptive, and constructing a second to-be-optimized response curve when the coupling result is not adaptive. And executing optimization operation according to the processing mode adaptive to the to-be-optimized response curve, generating a target response curve, and replacing the to-be-regulated charging load with the target response curve to realize optimized regulation of the charging load. The method can improve the operation stability of the power grid, reduce the load response delay, optimize the space-time distribution of the charging load, and improve the adaptability and adjustment efficiency of the power grid to the large-scale charging load.

The invention provides a power load ordered recovery priority evaluation method and system for reducing a load rebound effect, and the method comprises the steps: carrying out the real-time monitoring of a power grid, collecting power load parameters and state parameters, and carrying out the calculation to obtain load recovery priority parameters; a dynamic punishment mechanism is introduced, power load violation behaviors are detected, and a punishment term is determined in combination with the power grid load rate and a new energy fluctuation dynamic regulation factor; dynamically distributing an optimization weight according to the current operation scene type of the power grid; constructing a power load recovery priority model according to the load recovery priority parameters in combination with the optimization weight sum and the penalty term; a power load recovery priority estimation value is obtained through the power load recovery priority model, and the priority of orderly recovery of the power load is measured; scientific and objective quantification of power load recovery priority and recovery sequence can be realized, sharp load increase can be inhibited from the source, and safe and stable recovery of a power grid can be guaranteed.

The invention discloses a power supply framework, electronic equipment, a management method and device, a medium and a program product, and relates to the technical field of power supply. The power module and the super-capacitor module are electrically connected with the computing node through the bus, so that the super-capacitor module is independent of the power module and the computing node, the defect that a capacitor is added at the computing node end to occupy space is overcome, and fault isolation between the computing node and the super-capacitor module can be achieved. The output current of the power supply module is polled, the operation mode is determined, and then the working state of each part is dynamically adjusted, so that the super capacitor module discharges to bear the dynamic current and reduce the pressure of the power supply module when the calculation node is in high load, charges to store energy when the calculation node is in low load, and current fluctuation can be regulated and controlled from the source without modifying power distribution infrastructure. The technical problems that a capacitor lacks fault isolation and dynamic current impacts a power grid in the prior art are solved, and the technical effects of stably distributing the bus current, weakening the power grid impact, isolating and optimally utilizing the calculation node space are achieved.

The invention provides a roller punching composite incremental forming method and equipment, and the method comprises the following steps: S1, adjusting the shapes of an upper die block and a lower die block according to the shape of a plate; s2, a forming section comprises a feeding area, a forming area and a demolding area which are sequentially arranged, the plate is placed on a lower mold, and the plate is conveyed to the forming area from the feeding area to be subjected to incremental forming; s3, after the plate is formed in the forming area, the plate is conveyed to a demolding area to be demolded; and S4, the upper and lower die blocks are driven by a power gear to return to the initial feeding point. Incremental forming of a plate in the length direction is achieved through mutual movement of the upper die and the lower die, and the upper die is structurally composed of discrete die blocks arranged in sequence and is driven by a chain gear mechanism to do curve rotary motion; the lower die structure is a whole, linear reciprocating motion is achieved through a gear and a rack, low-load incremental forming of high-strength plates can be achieved, forming and demolding of the core-pulling die can be achieved, and the core-pulling die can be applied to forming of high-strength semi-closed section parts.

The invention discloses a sectional type variable stiffness mattress spring and a preparation method thereof and a mattress, the spring is formed by winding a wire rod with an I-shaped section, the spring body is sequentially divided into a top contact area, a middle support area and a bottom transition area along the axial direction, and the pitches and the sectional dimensions of the three areas are sequentially increased, so that the spring presents a low elastic coefficient of 0.15-0.25 N / mm under a low load of 50-200N, and the spring body has a high elasticity coefficient of 0.15-0.25 N / mm under the low load of 50-200N. And under the high load of 450 to 750N, the high elastic coefficient of 0.4 to 0.5 N / mm is shown. According to the invention, through unique material cross section, segmented variable parameter structural design and composite heat treatment and surface coating processes, excellent fitting flexibility of the mattress under low load and strong supporting performance under high load are synergistically realized, and the problem that the traditional mattress collapses when being soft and is rigid when being supported is effectively solved; and meanwhile, the advantages of high bending resistance, good durability, silence and the like are achieved.

The invention discloses an abnormality monitoring method and system for a fuel cell stack. The operation process of the fuel cell stack is divided into an open circuit stage without load access, an activation polarization stage started by a low load and a normal operation stage started by a high load in advance; the abnormity monitoring method comprises the following steps: in an open-circuit stage, collecting open-circuit voltage of a battery in real time, if the open-circuit voltage is higher than a first set value under continuous preset times, judging that the open-circuit stage is abnormal, and triggering an early warning prompt; and in the activation polarization stage, calculating the output power slope of the galvanic pile, if the power slope is smaller than a second set value within the specified time, judging that the activation polarization stage is abnormal, and processing based on a preset action. According to the technical scheme, different stages of the fuel cell stack can be monitored in a targeted manner, the fault handling efficiency is improved, and the safety and stability of stack operation are improved.

The low-load self-cleaning flat plate sliding plate valve comprises a shell, connecting pipes symmetrically penetrate through the outer side face of the shell, a connecting box is movably connected to the upper surface of the shell, a supporting rod is fixedly connected to the outer surface of the connecting box, and a fixing block is fixedly connected to the top end of the supporting rod; a first threaded ring is fixedly connected to the side, away from the supporting rod, of the fixing block, a sealing mechanism is arranged at an inner cavity of the first threaded ring and comprises a first threaded rod and a sliding plate, the first threaded rod is in threaded connection to the inner cavity of the first threaded ring, and the sliding plate is slidably connected to an inner cavity of the connecting box; the lower surface of the sliding plate is fixedly connected with a blocking plate, and the blocking plate is located in the inner cavity of the shell. The low-load self-cleaning flat plate sliding plate valve has the effect of cleaning dirt attached to the outer surface of the blocking plate.

The invention provides a supercritical unit low-load deep peak regulation system and method, and relates to the field of thermal generator sets, and the supercritical unit low-load deep peak regulation system comprises an instruction analysis and pre-control module, an energy redistribution module, a combustion steady-state module, a parameter cooperation module and a state backtracking and self-gain module. According to the application, through the arranged instruction parsing and pre-control module, the power grid load instruction is parsed and converted into a set of accurate equipment action time sequence list, the instruction feature recognition unit in the instruction parsing and pre-control module performs mode recognition on the load instruction, and the strategy generation unit calls the preset strategy template according to the mode, so that the power grid load instruction is analyzed and converted into the accurate equipment action time sequence list. Action instructions which face all execution units of the whole system and are arranged in a wrong sequence on a time axis are generated, and conversion from passive response to active pre-control is achieved.

The invention provides an intelligent scheduling method, system and device based on a shunt electric power cold station and a medium, and belongs to the technical field of electric power cold stations. The cloud platform constructs a hierarchical reinforcement learning scheduling framework and generates a global scheduling target; according to the global scheduling target, a combined operation strategy of the water chilling unit frequency conversion rate, the cooling tower fan rotating speed and the valve opening degree is determined, and branch cooling capacity distribution control is achieved; establishing a mapping matrix of the power load and the cooling capacity demand, and keeping the temperature fluctuation of the low-load loop not to exceed a preset temperature threshold value; and embedding the requirements that start and stop do not exceed two times per day and the equipment load rate is maintained in a preset interval into the current scheduling strategy. According to the method, intelligent and efficient dispatching of the shunt electric power cold stations is achieved, the energy consumption cost and carbon emission are reduced while the cooling capacity distribution accuracy is improved, and the cooling capacity distribution accuracy, the operation stability and the economical efficiency are improved, and the service life of equipment is prolonged.

This invention belongs to the field of mechanical dynamics technology, and discloses an improved method, medium, and electronic device for load-bearing contact analysis of spiral bevel gears. Based on the tooth contact analysis method, the geometric parameters of the tooth surfaces of the large and small gears are obtained, a load-bearing contact analysis model of the spiral bevel gear pair is constructed, and the overall compliance matrix, overall contact compliance matrix, and local contact compliance matrix of the tooth surface are calculated. A deformation compatibility iterative equation is established, its ill-conditioned nature is analyzed, and a preprocessing matrix is ​​established to improve the deformation compatibility iterative equation. After improvement, the time-varying meshing stiffness and tooth surface load are solved. Based on the tooth surface load, the principal curvature of the tooth surface of the large and small gears is calculated using the Euler analytical method and the principal direction is determined. The contact stress is then solved using Hertz contact theory. This method improves upon the problems of traditional tooth load-bearing contact analysis methods, which suffer from low accuracy and efficiency due to the ill-conditioned nature of the contact compliance matrix under low load conditions and the reliance on numerical differences for curvature calculation.

This invention discloses a novel, low-load, high-efficiency thermoelectric decoupling heating system. The system is characterized by replacing the high-pressure bypass section with an extraction section. This extraction section extracts steam from the middle of the superheater and uses this steam to heat the secondary air or drive the induced draft fan. Compared to existing technologies, this invention, after heating the secondary air or driving the induced draft fan, returns the steam to the cold section, thus overcoming the problem of limited extraction capacity in conventional systems. It also allows for changes in the coal-to-water ratio within the boiler under low load conditions, increasing the outlet steam temperature of the superheater and reheater under low load conditions, and avoiding the widespread problem of underheating of main steam and hot reheat steam under low load conditions.

The invention discloses a 5GMEC task unloading method, system and device based on optimal time delay in the Internet of Vehicles, and relates to the technical field of 5G communication. The method comprises the following steps: firstly, calculating a local time delay required by a vehicle operation task in local operation so as to determine whether a current vehicle-mounted task can be unloaded or not; screening out an effective roadside unit set according to the load of each roadside unit; for all tasks currently processed by the effective roadside unit set, calculating corresponding MEC processing time delays; and in combination with high and low load parameters of the roadside units, differential strategy processing is implemented when the tasks are unloaded to different roadside units, the total time delay of unloading the tasks to the roadside units is calculated, and the roadside unit with the minimum total time delay is selected for unloading. According to the method, the stability of unloading link quality can be guaranteed to the maximum extent, the success probability of task unloading is improved, heavy traffic burden caused by big data in a 5G Internet of Vehicles system is relieved, and calculation delay and energy consumption of task unloading are remarkably reduced.

This invention discloses a method for testing the anti-coking performance of diesel engine oil in turbochargers. The main design concept of this invention lies in designing a full-process test based on engine operation, including high smoke conditions, low temperature and low load conditions, high temperature and high load conditions, and multiple rounds of cyclic testing to simulate the high and low temperature fluctuations of engine oil. This achieves a comprehensive assessment of the impact of engine oil performance changes on turbocharger coking. Furthermore, engine oil sampling is performed at predetermined stages to monitor relevant physicochemical properties. Further, the turbocharger is disassembled and evaluated after the test procedure, enabling an accurate evaluation of the engine oil's anti-coking performance. This facilitates the matching development of engine oils during engine development and avoids problems such as turbocharger damage and reduced power caused by using unsuitable engine oil. This invention comprehensively covers soot dispersion, high-temperature shear resistance, and temperature oscillation, providing significant guidance for the comprehensive evaluation of engine oil's anti-coking performance.

The present application relates to hydrogen production control technology field, especially in a kind of based on wind power climbing layered hydrogen production unit cut load method, comprising: by continuous descending interval, slope turning position and back up alternative position cut climbing segment, and according to descending form division climbing level, make wind power downlink process by single point power judgment into segment identification;By with the same climbing level under historical termination segment form matching, determine remaining life label, obtain the determination basis of subsequent downlink period after climbing;Again in combination with hydrogen production unit load shedding lag state and stable load boundary screening candidate cut load unit group and distribution cut load advance, avoid load shedding lag and low load out of bounds;Finally according to load shedding feedback state and dc bus power deviation correction cut load advance, form the cut load sequence of closed-loop adjustment.Therefore, the present application improves the cut load advance of wind power hydrogen production system, power balance stability and hydrogen production unit operation safety.

The present invention discloses a deformable crawler chassis based on dual drive motors and dual servos, which is used for obstacle crossing of low-lying crawler robot chassis. The chassis includes four parts: a front crawler group, a rear crawler group, a deformable clutch, and a frame. The front crawler group and the rear crawler group directly contact the ground to achieve basic movement; the deformable clutch is used to change the front crawler group between the first clutch position, the second clutch position, and the third clutch position, thereby changing the shape of the chassis to adapt to different terrains; the frame is used to fix the front crawler group, the rear crawler group, and the deformable clutch. This deformable crawler chassis makes up for the problems of large space occupation and low load capacity of traditional high-passability crawler chassis, realizes simple installation of the crawler chassis and simple working principle analysis, and realizes high-performance obstacle crossing of low-height crawler robot chassis with a more streamlined and reliable structure. The present invention has a simple structure, high interchangeability of parts, is easy to manufacture, and is easy to promote and apply.

The present application relates to a kind of flexible public transport static and dynamic coordination scheduling method, including static scheduling and dynamic scheduling two stages, wherein static scheduling stage is gathered user demand by designing reservation time window, while considering the possibility of subsequent real-time request of each site, establishes and solves static scheduling model, determines the initial skip-stop route and timetable of flexible public transport, while the request matching result is fed back to user;Dynamic scheduling stage is based on real-time request on the basis of static scheduling, establishes and solves dynamic scheduling model, updates the skip-stop route and driving timetable of flexible public transport.The present application adds the probability of real-time request in static scheduling stage, prolongs the stop time of corresponding station, organically combines flexible public transport static scheduling and dynamic scheduling, is conducive to improving real-time request acceptance rate, and in low passenger flow area or non-peak period, through skip-stop and flexible timetable, avoid empty running and low load rate, reduce operating cost, improve service quality.

The application relates to a fan control method based on a compression ratio and an air energy heat pump. The fan control method comprises the following steps: controlling a fan to operate at a basic rotating speed, and calculating a current time compression ratio; acquiring a reference compression ratio of a compressor, calculating a fan target rotating speed according to the current time compression ratio and the reference compression ratio, and controlling the fan to operate according to the target rotating speed. The control method can control the fan rotating speed through a PID adjustment mode based on the change rate of the compression ratio and the reference compression ratio when the heat pump is in a partial load or low load working condition, can more accurately match the refrigeration or heating demand of the heat pump, can match the rotating speed of the fan with the actual required evaporation capacity, can control the energy consumption of the fan on the basis of improving the evaporation capacity of the evaporator, and can make the energy efficiency ratio of the system reach better optimization.