72results about How to "Supply and demand balance" patented technology

The invention discloses a Bayesian network-based regional heat supply model predictive control system and method. The method includes the following steps that: step S1, physical layer heat network data sensing is performed: historical data are acquired from a source side, a network side and a building side in real time and are updated; step S2, a Bayesian network is constructed according to the historical data and on the basis of prior knowledge, and the load demand of a thermal station and the building side are predicted through the Bayesian network; step S3, the real-time control parametersof a secondary side, a primary side and the source side are obtained through the inference of the Bayesian network according to the load demand of the building side and on the basis of the historicaloperation data and real-time data; and step S4, time characteristic curves of source side adjustment, network side adjustment and building side adjustment are established according to the historical operation data and pipe network topology structures, and source side adjustment, network side valve and building side electric valve adjustment strategies are determined, control operations are performed according to the strategies, so that the hysteresis of heat network adjustment can be eliminated, real-time supply and demand balance can be met, and the accurate on-demand heat supply of a heat user side can be realized.

A system for dynamically managing and controlling distributed energy resources in a transmission / distribution power grid is disclosed. A plurality of regions within a transmission / distribution power grid is autonomously managed using regional control modules. Each regional control module oversees the management and control of the transmission / distribution power grid and is further associated with a plurality of local control modules that interface with distributed energy resources within a region. Power production and power consumption are monitored and analyzed by the enterprise control module which, upon determining that power consumption within a region does not match power producing capability, dynamically reallocates distributed energy resources throughout the grid keeping the system balance.; Power flow at key nodes within the network are monitored and analyzed by the local control modules, regional control modules, and enterprise control modules with compensating actions taken in the event that system parameter risks violating safety, stability, or operational thresholds.

The present invention relates to a load-frequency control method of a multi-domain time-lag electric power system with high wind energy permeability. The method comprises the following steps: S1, establishing a time-lag electric power system with multiple domains, and establishing the mathematics model of each generation system; S2, establishing state models with uncertain items corresponding to each domain according to the mathematics model of a generator; S3, designing an integration type sliding mode surface [Sigma]I (t) according to the state models with uncertain items; S4, designing the sliding mode load frequency controller according to the integration type sliding mode surface [Sigma]I (t); and S5, taking a controller ui(t) obtained in the step S4 as a controlling instruction, and optimizing the load frequency offset of the electric system. Compared with the prior art, a wind driven generator participates the regulation of the system frequency to tightly cooperate the wind power generation with the traditional fire power generation, and the increment of the output power of each generator is evenly reduced to ensure the power supply and demand balance of each area and effectively reduce the frequency offset of each area.

The invention provides an automatic verification system and method for an electric energy meter. The system comprises a PLC (Programmable Logic Controller), a delivery roller transport line controlled by the PLC and used for delivering turnover boxes out of a storage, a return roller transport line for returning the turnover boxes to the storage, a single-layer turnover box cache line for transporting the turnover boxes, a turnover box stacking cache line for caching the turnover boxes, an electric energy meter recheck belt line for transporting unqualified electric energy meters; a metering tray transport line for transporting a metering tray, a feeding robot and a discharging robot for moving electric energy meters or turnover boxes, and a turnover box monitoring sensor connected with the PLC and arranged on the single-layer turnover box cache line. By adopting the caching mode of combining a single-layer turnover box cache area with a multi-layer turnover box stacking area and intelligently transporting the turnover boxes via roller lines, the task executed by each robot at the same moment is balanced, the action path of a single robot is simplified, and the operating efficiency of the feeding and discharging robots is greatly improved.

The invention which is suitable for the technical field of drying provides a fruit vacuum freeze drying method. The method comprises the following steps: prefreezing: refrigerating fruits to be dried; and carrying out five-stage drying under vacuum conditions. The fruit vacuum freeze drying method of the invention, which adopts a five-step gradient cooling mode of the heating temperature, allows heat required by water sublimation to be guaranteed, cooling to be timely, the basic balance of the heat supply and demand to maintained, the material dissolving caused by too fast heating to be prevented, and the water sublimation rate to be accelerated.

The invention discloses a system and a method for intelligent and progressive electricity utilization management based on an intelligent and progressive utilization management device. The system comprises a distribution room transformer (3), an intelligent and progressive electricity utilization management device (1), an intelligent and progressive electricity utilization control and management system (2), a controllable electricity utilization loading device (4) and a movable client (5), wherein the court transformer (3) and the controllable electricity utilization loading device (4) reach the intelligent and progressive electricity utilization control and management system (2) through the intelligent and progressive electricity utilization management device (1) via a wired communication network mode or a wireless communication network mode; the intelligent and progressive electricity utilization management device (1) realizes progressive management on electricity utilization equipment of users on the user side, and electricity utilization equipment can be regulated flexibly and automatically for progressive operation according to the court transformer load rate and the loading rate of the current power distribution network. According to the invention, the loading utilization ratio of power supply equipment is increased, grid running cost is reduced, grid construction investment is reduced, state grid investment scale is saved, and safe and reliable operation of a grid is ensured.

The present invention discloses an order allocation method and apparatus. The method comprises: receiving a first instruction that is sent by a customer service terminal and that is for allocating an unchecked order to the customer service terminal; according to the first instruction, determining an unchecked order to be allocated to the customer service terminal among unchecked orders; and sending a first instruction response message, which carries order information of the unchecked order, to the customer service terminal, so that a staff member who logs in to the customer service terminal determines whether the unchecked order meets a delivery condition according to the order information. By docking a transfer system of a third party platform with an online customer service system of a seller, an unchecked order of the seller is allocated by the transfer system of the third party platform to the online customer service system, and customer service staff login the online customer service system of the seller via a customer service account to check the unchecked order, thereby improving order checking efficiency, further meeting supply and demand balance of customers at the peak of the Internet ordering, and thus resulting in more profits for the third party platform and the seller.

The invention relates to a control method and system for secondary allocation of local power grid energy and power. The control system comprises a data service center, a simulation analysis center and an energy routing center. According to the method, a local power grid serves as the research object, scattered access to the power grid of renewable energy sources and user power utilization are taken into consideration, and the operation state of the power grid, the short-term power utilization plan of a user and the scattered power source short-term output are monitored dynamically. The simulation analysis center simulates the power grid operation state of the next control cycle according to the power utilization plan and the output prediction data, determines the loading vacancy or the electricity vacancy of the local power grid and uploads the power grid state and the relation between supply and demand to the energy routing center. The energy routing center conducts charging / discharging control on an energy storage system based on the current SOC of the energy storage system to form a new loading demand or electricity injection, coordinates the output and power utilization loading of a scattered power source, completes the secondary allocation of the energy and power and achieves complementation of multiple kinds of energy sources and new balance between supply and demand.

The invention relates to the technical field of multi-energy system coordination control methods, in particular to a multi-energy system coordination control method based on a Markov model. The multi-energy system coordination control method comprises the steps of: modeling an electricity, gas and heat network of the multi-energy system; establishing a compressor equipment model; establishing a cogeneration system model; establishing a renewable energy power generation system model; establishing a multi-energy load model; establishing a Markov model of the multi-energy system; and verifying the simulation example based on a Markov model-based multi-energy coordination control method. The Markov model is established by analyzing the change characteristics of the output and load requirementsof the renewable energy sources, the coordination interaction among the source, the load and the storage is achieved by installing the energy storage system, the heat storage device can achieve electric heating decoupling, the electricity storage device can smooth the output fluctuation of the renewable energy sources, and the balance of the supply and the demand of the energy sources is achievedby effectively controlling the absorbed energy and the released energy of the energy storage system, so that the safe and efficient operation of the whole multi-energy system is ensured.

The invention discloses a scheduling optimization method of a multi-energy coupling comprehensive energy system. The scheduling optimization method comprises the following steps: S1, establishing models of renewable energy, energy coupling equipment and energy storage equipment; s2, establishing a day-ahead scheduling model; s3, substituting the prediction results of the electricity, cold, heat and gas loads in the future 24 hours into the model in the step S2, and performing solving the prediction results in a Cplex optimizer; s4, establishing an intra-day rolling optimization scheduling model; and S5, substituting the real-time electricity, cold, heat and gas loads into the model in the step S4, and performing solving in a Cplex optimizer. According to the scheduling optimization method,the accuracy of a result is improved by utilizing day-ahead intra-day multi-time-scale scheduling, so that the operation cost of the system is reduced, and the stable and economic operation of the system is ensured.

The invention discloses a die-casting machine asynchronous servo energy-saving control method. The method includes a speed control method of an oil pump motor and an advanced acceleration method of the oil pump motor. In the speed control method of the oil pump motor, the rotating speed N of the oil pump motor is equal to N rate *PQW, wherein the N rate is the rated rotating speed of the oil pump motor. PQW is a self-adaptation motor speed given instruction of the oil pump motor, PQW is equal to PQ+ PQ auxiliary, and the PQ auxiliary is a motor fine tuning speed given instruction. PQ is a motor preliminary speed given instruction, PQ is equal to K*Q+(1-K)*P or PQ is equal to MAX {Q, P}, wherein Q is a flow coefficient of a die casting machine, Q is larger than or equal to 0 and smaller than or equal to 1. P is a pressure coefficient of the die casting machine, and P is larger than or equal to 0 and smaller than or equal to 1. K is a weight coefficient, and K is larger than or equal to 0 and smaller than or equal to 1. In the advanced acceleration method of the oil pump motor, the self-adaptation advanced time instruction delta t of the oil pump motor is equal to T average-T advance, and T advance is smaller than or equal to T average. The T advance is the set pre-advanced time of the die casting machine, and the T average is the average value of mechanical action time differences of all working stages of the production period of the die casting machine.

The invention discloses a diesel driven screw type air compressor control screen. The diesel driven screw type air compressor control screen comprises a screw type air compressor driven by a diesel engine to rotate. An inlet of the screw type air compressor is provided with an air inlet valve, and an outlet of the screw type air compressor is connected with an air tank. An electronic control unit (ECU) is arranged on the diesel engine. An electric controller is in communication connection with the ECU through a CAN bus, reads the rotating speed of the diesel engine through the ECU and sends a diesel engine rotating speed control command to the ECU, and the electric controller sends a signal to an air inlet valve drive plate so as to control the opening degree of the air inlet valve. When the air pressure in the air tank exceeds an air pressure set value, the electric controller preferentially reduces the rotating speed of the diesel engine through the ECU, and if the air pressure in the air tank is still higher than the air pressure set value at the idling speed, the electric controller reduces the opening degree of the air inlet valve through the air inlet valve drive plate. The diesel driven screw type air compressor control screen which is high in adjusting speed and control precision and saves more energy and a control method of the diesel driven screw type air compressor control screen are provided.

The invention discloses an independent type photovoltaic power generation system and a capacity optimization method, belonging to the field of photovoltaic power generation. The independent type photovoltaic power generation system comprises a photovoltaic subsystem, a storage battery subsystem, a load and a control center. The capacity optimization method comprises the following steps of: taking the capacity of each element in the system as decision variable, and firstly determining the minimum of the number of photovoltaic arrays to obtain a group of system minimum configuration based on the restraint of meeting annual energy demand of the load under the condition of certain storage battery capacity; determining a sires of minimum system configuration according to the sequence of different storage battery storage capacities from low to high, and calculating the economic and technical performance indexes, wherein a user can select corresponding system capacity configuration according to demands per se. The capacity optimization method is suitable for capacity optimization of the photovoltaic power generation system using single or various energy storage devices.

The invention relates to a power information physical system modeling method based on an alternating current power flow model, which is characterized by comprising the steps of power network modeling,information network modeling and power network and information network interaction process, takes power flow characteristics of a power network and monitoring and control functions of an informationnetwork into consideration, and realizes modeling of a power information physical system. Compared with a modeling method based on a complex network theory, the method provided by the invention can reflect dynamic characteristics of the power grid, and the optimal economic dispatching algorithm adopted by the information network not only meets the supply and demand balance of the power system, butalso considers the economic operation of the system. The influence of various parameter changes of the power information physical system on the system can be quantitatively reflected, and the methodcan be widely applied to the fields of safety analysis, cascading failure propagation process, vulnerability evaluation and the like of the power information physical system. The method has the advantages of scientificity, reasonability, high applicability, good effect and the like.

The invention discloses a user side comprehensive energy system regulation and control method, which is characterized by comprising the following steps of dividing a regulation and control period intothe regulation and control time periods according to the user side load energy demands and a time sequence rule; calculating by adopting a fuzzy clustering algorithm based on the regulation and control time periods to obtain the energy consumption grades; and based on the regulation and control time periods and the energy consumption grades, combining with the energy value label sorting of the energy devices to perform regulation and control, so that different grading standards are set under different regulation and control scenes and different regulation and control time periods, the gradingregulation and control of the user-side comprehensive energy system are more reasonable and flexible, and the problem that the supply and demand balance of the energy generation and distribution cannot be achieved, is solved.

The invention discloses a hydrogen oil transportation system including a hydrogen production device, a hydrogenation device, a hydrogen oil storage station, a hydrogen oil filling station and a recovery oil storage station. The hydrogen oil storage station includes at least one hydrogen oil storage tank, and the recovery oil storage station includes at least one recovery oil storage tank; hydrogenoil in the hydrogen production device and the recovery oil storage station flows to the hydrogenation device, gaseous hydrogen is stored in organic liquid through a catalytic hydrogenation reaction,and the hydrogen oil is formed; the hydrogen oil flows from the hydrogenation device to the hydrogen oil storage station to be stored and then flows to the hydrogen oil filling station; hydrogen is separated from the organic liquid through a catalytic dehydrogenation reaction by means of the hydrogen oil filling station to be used in a manner of gaseous hydrogen; and dehydrogenated organic liquidflows to the recovery oil storage station as recovery oil and then flows from the recovery oil storage station to the hydrogenation device. Connection between hydrogen oil production and hydrogen oilrecovery is realized, balance between supply and demands is realized, and the energy loss of traditional on-board transportation is reduced.

The invention discloses a system and method for continuously and flexibly preparing methane through renewable energy sources. The system comprises a renewable energy power generation system, a liquid CO2 energy storage system and a methanation production system, wherein the renewable energy power generation system is connected with the liquid CO2 energy storage system and provides electric energy for the liquid CO2 energy storage system; the liquid CO2 energy storage system is connected with the methanation production system and provides CO2 for a methanation reaction; and electric energy required by the methanation production system is provided by the liquid CO2 energy storage system or power of a power grid. According to the system for preparing methane from renewable energy, the liquid CO2 energy storage system is coupled with the renewable energy power generation system, power is supplied to the methanation production system through the liquid CO2 energy storage system, stable and continuous power output can be provided for the methanation production system, fluctuation and intermittency of the renewable energy are avoided, stable and continuous operation of the methanation production system is realized, and power peak regulation of the power grid is also supported.

The embodiment of the invention provides a travel time recommendation method based on reservation. The method comprises the steps of obtaining a departure place, a destination and a travel time rangereserved by a user; determining a plurality of to-be-selected line times in the travel time range; calculating the forward influence degree of each to-be-selected row time on the traffic system traffic efficiency of the road between the departure place and the destination; determining target travel time from the plurality of to-be-selected travel time, wherein the target travel time is one or moreto-be-selected travel time with the maximum forward influence degree on the traffic efficiency of the traffic system; and recommending the target travel time to the user. The target travel time is recommended to the user, so that the user starts according to the target travel time, the forward influence degree of the user on the traffic system can be improved to the maximum extent, and the problem that the traffic congestion degree is further increased when the user enters the traffic system in case of traffic congestion is avoided.

The invention provides a method for distributing electric energy among multiple microgrids. Each microgrid is a node allowed to be authorized on the network. Point-to-point direct energy electric quantity distribution can be carried out. Electric quantity distribution is issued by using an intelligent contract designed by Ethereum. Each microgrid participant calls the contract, participates in bidding, obtains an electric quantity distribution result and then performs settlement through the intelligent contract, i. I energy shortage still exists after electric quantity distribution is finished, the power distribution network performs supplementation, and electric quantity distribution settlement with the power distribution network is also completed through the intelligent contract. In theprocess, information of electric quantity distribution needs to be verified by each node in the network through a POW consensus mechanism, the information is recorded in a block chain after successfulverification, and rewards for generating blocks and commission charge rewards for electric quantity distribution are obtained by the node which completes verification firstly. Electric energy distribution and exchange between the micro-grids and between the micro-grids and the power distribution network can be realized, supply and demand balance is ensured, the income of the micro-grids is improved, and the distribution coefficient is recorded.

The invention discloses an independent type photovoltaic power generation system and a capacity optimization method, belonging to the field of photovoltaic power generation. The independent type photovoltaic power generation system comprises a photovoltaic subsystem, a storage battery subsystem, a load and a control center. The capacity optimization method comprises the following steps of: taking the capacity of each element in the system as decision variable, and firstly determining the minimum of the number of photovoltaic arrays to obtain a group of system minimum configuration based on the restraint of meeting annual energy demand of the load under the condition of certain storage battery capacity; determining a sires of minimum system configuration according to the sequence of different storage battery storage capacities from low to high, and calculating the economic and technical performance indexes, wherein a user can select corresponding system capacity configuration according to demands per se. The capacity optimization method is suitable for capacity optimization of the photovoltaic power generation system using single or various energy storage devices.

The invention discloses a special fertilizer for eggplants in the vegetative growth phase and the reproductive growth phase, and an application method of the special fertilizer. The special fertilizer is prepared from urea, diammonium phosphate, potassium nitrate, citric acid, boric acid, sodium molybdate, water and trace elements; the special fertilizer is divided into two types, namely, a vegetative growth phase special fertilizer and a reproductive growth phase special fertilizer, and the two types of special fertilizers for the two growth phases are both specially designed according to the nutrient demand laws of the eggplants and the soil nutrient characteristics. The application method includes the following steps: applying the vegetative growth phase special fertilizer three times before flowering in the seedling stage according to the physiological characteristics, fertilizer requirement features and growth conditions of the eggplant in different growth phases; applying the reproductive growth phase special fertilizer once respectively in the first fruit phase, opposite sides fruit phase and four sides fruit phase of the eggplants, and totally six times of fertilizing are performed during the whole growth period. The special fertilizer provided by the invention is scientific and reasonable in formula, and the contained macroelements, medium elements and microelements correspond to the demands of the eggplants in the vegetative growth phase and the reproductive growth phase, so that the supply and demand are balanced; the application method is scientific and reasonable and can increase the yield of the eggplants and improve the quality of the eggplants.

The invention discloses an optimal control system and an optimal control method for a ship power supply and steam supply linkage system by utilizing waste heat of a diesel generator. The control system comprises a sensor, a combined heat and power generation controller, and a power generation amount PID controller of a steam turbine generator. The combined heat and power generation controller obtains steam heat supply requirements and power utilization requirements of a whole ship through sensors, calculates fuel consumption of the diesel generator and a fuel boiler, sends out a fuel control signal, and sends out a set value signal to the power generation amount PID controller of the steam turbine generator at the same time, therefore, the operation conditions of equipment such as a marinediesel generator, a fuel boiler, a waste gas boiler and a steam turbine generator are controlled, and the whole-ship steam heat supply requirement and power utilization requirement are met. Comparedwith the prior art, the optimal control system and the optimal control method have the advantages that the total fuel cost or the total CO2 emission value can be controlled to be lowest under the condition that steam heat supply and power supply of the whole ship are met, so that the purposes of reducing the operation cost or saving energy and reducing emission are achieved.

The invention relates to the technical field of intelligent planting, and especially relates to a greenhouse strawberry market time regulation and control system based on big data analysis. The systemcomprises a plurality of sensing units, an intelligent gateway, a cloud server, a control center, a mobile terminal and wireless control equipment; the sensing units are installed in a greenhouse; the sensing units send survival and environmental data of strawberries in the greenhouse to the intelligent gateway; the intelligent gateway sends the survival and environmental data of the strawberriesin the greenhouse to the cloud server; the cloud server provides required data for the control center and the mobile terminal after performing big data analysis and processing; and a user monitors survival and environmental conditions of the strawberries in the greenhouse through the control center or the mobile terminal, and adjusts the survival environment of the strawberries in the greenhousethrough the wireless control equipment according to the big data analysis of historical strawberry planting. The greenhouse strawberry market time regulation and control system based on the big data analysis provided by the invention can accurately monitor the carbon dioxide concentration, the air temperature, the soil temperature and humidity, the light intensity and the soil fertility in the greenhouse, thereby more rationally controlling the market time of the strawberries.

The invention provides an electric power system which comprises a first energy power supply, a second energy power supply, a high-voltage transmission line, a transformer substation, a low-voltage distribution bus, a first feeder line and a second feeder line. The first energy power supply and the second energy power supply are used for providing power for a load in a joint mode. The first energy power supply transmits part of electric energy needed by the load to the low-voltage distribution bus through the high-voltage transmission line and the transformer substation. The first feeder line and the second feeder line are connected with the low-voltage distribution bus. The second feeder line is connected with the second energy power supply. The load is connected with the first feeder line and the second feeder line respectively and obtains part of electric energy provided by the first energy power supply through the first feeder line and the second feeder line and the other part of the needed electric energy from the second energy power supply through the second feeder line. According to the electric power system, according to real-time second energy power supply maximum power generation capacity and the load requirement, the output electricity amount of the second energy power supply and the first energy power supply is adjusted, system supply-demand balance is guaranteed, and the electric power system has the advantages of being high in efficiency, easy to achieve, low in cost and high in energy using rate.

The invention discloses an Internet of Things photovoltaic power generation control system and method based on GA-SVM modulation, and the method comprises the steps: carrying out the parameter setting of a first current modulation module, a second current modulation module, a PR controller and a notch filter, and receiving the voltage and current of a common point of a smart power grid, the three-phase current of an output end of an inverter, and the DC output voltage of a photovoltaic cell; acquiring and judging whether to generate a first reference current and / or a second reference current in real time, and determining one of the first current modulation module and the second current modulation module with the optimal response speed; if the response speed of the second current modulation module is optimal, corresponding switching is carried out, so that a connecting line between the second current modulation module and the SVM wave sending module is switched on, and voltage Va, Vb and V0 are obtained through conversion of second reference current; otherwise, converting the first reference current to obtain voltages Va, Vb and V0; and based on SVM wave generation, the inverter is controlled to work, the response speed is high, and the power generation efficiency is high.

The invention discloses a control method and device of delay start of an air-conditioning load and an air-conditioning system and relates to the field of air-conditioning intelligent control. The control method includes the steps that the situation that the air-conditioning load meets the starting condition is detected out; the slope of the linear relation formed between start delay time and load deviation of the air-conditioning load is determined; the start delay time of the air-conditioning load is determined according to the slope and the current load deviation of the air-conditioning load; and the air-conditioning load is started after delaying for a certain time according to the determined start delay time of the air-conditioning load. Accordingly, the start delay time of the air-conditioning load further meets the actual demand of the air-conditioning system, and the air-conditioning system is more balanced in supply and demand and more stable in output.

The invention discloses an energy-saving method and system for heat transfer pipe network optimization. The method comprises the following steps that (1), heat supply demands GJ1, GJ2...GJt of all heat supply demand points are acquired; (2), flow original values qa1, qb1...qt1 of all heat transfer pipes are acquired; (3), flow target values qa0, qb0...qt0 of all the heat transfer pipes are calculated; (4), a following data comparison table is formed through calculation, the adjusting number is 1 or m, and m is an integer and is larger than or equal to 2; and (5), the opening quantities of adjusting valves on the corresponding heat transfer pipes are adjusted, and then the heat supply demand of each heat transfer pipe is consistent with the heat supply amount of the heat transfer pipe. According to the method and system, accurate control over the adjusting valves can be achieved, therefore, supply and demand balancing of each heat transfer pipe is achieved, energy sources are saved, andthe cost is reduced.

The invention relates to an intelligent power grid load prediction method, which is technically characterized by comprising the following steps of: acquiring power load data of a park for 12 months ina year, and observing the trend of the power load data; proper training data is selected for training and prediction of the Newton interpolation model; predicting power load data of the missing monthby adopting a Newton interpolation method; correcting a Newton interpolation result by adopting an after-event error estimation method; and calculating a relative error between a final Newton interpolation result and a real value, thereby finishing intelligent power grid load prediction. The method is reasonable in design, can accurately predict the short-term power consumption load condition ofthe park, is simple and easy to implement, does not need to fit a specific function form, can perform prediction and obtain a better prediction effect only through several data points, and can providea reference basis for power grid dispatching formulation and power generation and supply plans.

The invention relates to the technical field of feeding device systems, and particularly relates to a beet breakage-proof balanced feeding device for sugar production. The beet breakage-proof balanced feeding device comprises a vegetable cellar, a side-turning unloading platform and a feeding mechanism, wherein the side-turning unloading platform is movably connected to the side part of the vegetable cellar; the feeding mechanism is arranged below the vegetable cellar; the vegetable cellar comprises at least two vegetable hoppers; adjusting opening and closing mechanisms are independently arranged at the lower end parts of the vegetable hoppers; the adjusting opening and closing mechanisms are arranged opposite to the feeding mechanism; the vegetable hoppers are provided with inclined side plates; the inclined side plates are arranged close to the side-turning unloading platform; and buffer plate bodies are arranged at the tops of the inclined side plates. The beet breakage-proof balanced feeding device is simple in structure, and can reduce beet damage to a great extent in the processes of storing and conveying beet, thereby preserving sugar and improving the sugar yield.

A concentrated water treatment system of leachate in waste incineration plants relates to the field of sewage treatment and includes an MBR system, a nano-filtering system, a circulating water cooling system, a reverse osmosis system and a concentrated water tank. A water producing outlet of the MBR system is connected to the nano-filtering system. A concentrated water outlet of the nano-filtering system is connected to an inlet end of the MBR system. A fresh water outlet on the nano-filtering system is connected to the reverse osmosis system. A fresh water outlet on the reverse osmosis system is connected to the circulating water cooling system. A concentrate water outlet of the reverse osmosis system is connected to the concentrated water tank. The concentrated water tank is connected to a semi-dry deacidification system and a fly ash immobilizing system. During treatment of the leachate, a part of produced water generated in the MBR system and all concentrated water generated in the reverse osmosis system are used for the deacidification system and the fly ash immobilizing system, wherein the concentrated water generated in the nano-filtering system flows back to the MBR system. The water treatment system greatly reduces the economic cost of concentrated water treatment and achieves zero-emission of the concentrated water.