63 results about "Every 15 minutes" patented technology

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and / or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, at least some of the mobile data sources are configured to frequently acquire and store data samples, and to occasionally make multiple such data samples available together for use in the road traffic condition assessment (e.g., by acquiring a data sample every minute and by transmitting a group of stored data samples every 15 minutes).

A 3D avian radar sampling system comprises a 3D volume scanning radar system and an avian track interpreter. Scanning methods employed ensure that volume revisit times are suitably short and track data produce 3D target trajectories. The avian interpreter uses the track data from the volume scanning radar to create detailed avian activity reports that convey bird abundance and behavior within a 3D cylindrical volume on intervals including hourly, daily, weekly, monthly and yearly. Hourly activity reports (updated typically every 15 minutes) provide enhanced situational awareness of developing hazards and are actionable, allowing operators to dispatch wildlife control personnel to respond to threats.

The invention relates to a residential electricity consumption mid-term load prediction method under a multistep electricity price mechanism. At first, the residential electricity consumption data is acquired, the attributive characters of residential electricity consumption behaviors under the multistep electricity price mechanism are extracted, different electricity consumption behavior characters of the residents under the multistep electricity price mechanism can be identified through cluster analysis, and the users having same or similar electricity consumption behavior characters are clustered into the same user category; corresponding load prediction models are established for the user categories, and the predication is carried out; at the end, the predication results of the user categories are summarized. The multistep electricity price related indexes are innovatively introduced into a clustering model, and the mid-term load prediction can be better carried out by means of the accurate and comprehensive data provided by a smart electric meter. Compared with a conventional manner that the data acquisition is carried out every 15 minutes, the method provided performs the mid-term prediction with fewer data sampling points (data per day) under the premise of guaranteeing the precision.

The invention provides a number plate identification data-based region dynamic origin and destination (OD) data acquiring method, which belongs to the fields of road traffic signal control and high-definition video detection. The dynamic OD data is the dynamic origin and destination data, wherein O represents origin and D represents destination. The method particularly comprises the following steps of: 1, dividing OD regions according to requirements, wherein the minimum time unit is 5 minutes; and 2, uniformly processing data of each intersection in the region every 15 minutes by a traffic control center, detecting number plate data, packing the number plate identification data and uploading the number plate identification data to the traffic control center; comparing a plate number with an identity (ID) number passing through the intersections and acquiring the time of each vehicle passing through each intersection; acquiring the number of each intersection in the path through which each vehicle passes from the O point to the D point by taking the plate number as a clue and sequencing the intersections according to time sequence; and according to the number of the vehicles which pass through between the nodes, calculating to form a dynamic OD data matrix.

The invention discloses a method for predicting big event traffic dynamic simulation jamming based on vehicle license plate recognition data, and particularly relates to the technical field of intelligent traffic. The method comprises the following steps of adopting simulation software to construct an urban road network model; using the vehicle license plate recognition data to calibrate road section simulation parameters; counting the vehicle license plate recognition data to obtain driving track data of each vehicle; using the vehicle license plate recognition data to count the road sectionflow of every 15 minutes within an assigned time duration; adopting a probabilistic principle component analysis model to complete the interpolation of missing data of all clamping openings and predicting the completed data to obtain the future traffic state; judging whether the standardized root-mean-square error between the history traffic simulation state and the future traffic state is 10% ofa preset threshold value or not. By means of the method for predicting big event traffic dynamic simulation jamming based on the vehicle license plate recognition data, the simulation software is utilized to dynamically allocate the vehicles to obtain the future big event traffic state and output the corresponding big event predicting result. The method has the advantages of having a high automated degree and an accurate predicting result.

The invention discloses a quick-curing high-strength single-component silane modified polyurethane sealing gum preparation method. The preparation method comprises the steps: adding polyether glycol into a reaction kettle which is provided with a thermometer and a stirrer and protected by dry nitrogen; starting stirring; warming to 120 DEG C; vacuum drying for dewatering for 2h; cooling to 40 DEGC or less; sequentially adding polyisocyanate, a first catalyst and a first plasticizer; warming to 45 to 60 DEG C; reacting and stopping reacting when a NCO% content reaches to 1% to 5%; cooling to 40 DEG C or less; adding a silane coupling agent into the reaction kettle and sealing ends; sampling and detecting NCO% every 15 minutes until the NCO% content is 0 to obtain SPU prepolymer; sealing, storing and standing for standby application. The preparation method disclosed by the invention has the advantages avoiding side reaction under high temperature, effectively controlling a molecular weight of the SPU prepolymer within a narrower range (generally 5000 to 9000), ensuring quality of the prepolymer and effectively improving the curing speed of SPU sealing gum.

The invention discloses a photovoltaic micro-grid interval optimization scheduling method with multi-time scales, and belongs to the field of renewable energy source micro-grid techniques. The photovoltaic micro-grid interval optimization scheduling method comprises the following steps: by using an interval value description method, describing the intermittency of renewable energy and inaccuracy characteristics of load prediction; meanwhile, by adopting a dual-layer optimization strategy, providing active power instructions for operation of different micro-grid components within 24 hours of a former day and in real time (every 15 minutes); and because of a relatively large amount of indefinite factors in the operation process of a micro-grid and a limited rotation reserve capacity available inside a system, generally confirming positive and negative rotation reserve capacities purchased from a power distribution grid by the micro-grid according to a current scheduling plan, and coordinating operation of different components of the micro-grid. The photovoltaic micro-grid interval optimization scheduling method is capable of solving the problems that the current scheduling is deviated from actual operation situations and the like because of unbalanced micro-grid power, and has the advantages that real-time scheduling can be implemented to comply with the current rotation reserve plans, the plans can be adjusted according to real-time error situations, intermittent energy fluctuation can be balanced, and economic operation of the system can be ensured.

The invention relates to a method for grading and separating graphene materials. The method comprises the following steps: preparing a dispersion liquid of graphene materials, wherein the graphene materials refer to graphene, graphene oxide or graphene quantum dots; and performing electrophoresis on the dispersion liquid of graphene materials, and sampling on the electrode side every 15 minutes, thereby obtaining the dispersion liquid of graphene materials of different sizes, wherein the voltage gradient of electrophoresis is 8V / cm-30V / cm, and the electrophoresis time is 2-4 hours. According to the method for grading and separating graphene materials based on the electrophoresis technology, the graphene materials are graded and separated. The experiment proves that the graphene materials of different sizes can be separated, and graphene materials of different performances are obtained.

The invention discloses nickel-removing solution for an adverse chemical nickel plating layer of a printed circuit board (PCB) and a preparation method thereof and a method for removing the adverse chemical nickel plating layer, and solves the technical problems of reducing the extra cost of the PCB and keeping the physical property of the PCB after reworking treatment. Each liter of nickel-removing solution contains 10 to 300 grams of sodium persulfate, 10 to 200 grams of sulfuric acid solution, 0.1 to 100 grams of alkyl ketone corrosion inhibitor and 0.1 to 50 grams of thiazole corrosion inhibitor. The method for removing the adverse chemical nickel plating layer comprises the following steps of: removing oil from an adverse nickel plating PCB, soaking the adverse nickel plating PCB into the nickel-removing solution, and taking the PCB out at a proper time calculated by removing 4 microns of a nickel layer every 15 minutes. Compared with the prior art, the method has the advantages of low cost, environmental protection, short nickel-removing time and constant nickel-removing speed; and the solution nearly does not damage a copper base material, and the copper loss of the naked copper base material in the nickel-removing solution is less than 0.5 micron per hour, so the integrity of a thin circuit can be well ensured.

The invention discloses a real-time prediction calculation method based on measured data for wind power of a wind power station. The method is characterized by comprising the following steps of: acquiring data: acquiring the output power P<1>1(t) per minute of each windmill unit in the start-up state of the wind power station; processing data: performing power summarization according to the quantity of windmill units in the start-up state to obtain the practical output power P<1>(t) per minute of the entire wind power station, and continuously performing arithmetic average to P<1>(t) for 15 times to obtain the practical average output power P(t) per every 15 minutes of the entire wind power station; performing simulation calculation: inputting a simulation input quantity, predicting the power of the entire wind power station in later four hours by adopting a continuous method, i.e., calculating a practical average power value P(t) of a current moment serving as a predicted value of later 16 time points; and performing error analysis: giving the accuracy of the calculation method according to the requirements of accuracy and yield in the Interim Measure for Power Prediction and Forecast Management of Wind Power Station edition 2011 made up by the National Energy Administration according to an error evaluation standard. The method has the advantages of science, rationality, easiness, practicability, high calculation speed, higher accuracy and the like.

Techniques are described for assessing road traffic conditions in various ways based on obtained traffic-related data, such as data samples from vehicles and other mobile data sources traveling on the roads, as well as in some situations data from one or more other sources (such as physical sensors near to or embedded in the roads). The assessment of road traffic conditions based on obtained data samples may include various filtering and / or conditioning of the data samples, and various inferences and probabilistic determinations of traffic-related characteristics of interest from the data samples. In some situations, at least some of the mobile data sources are configured to frequently acquire and store data samples, and to occasionally make multiple such data samples available together for use in the road traffic condition assessment (e.g., by acquiring a data sample every minute and by transmitting a group of stored data samples every 15 minutes).

The invention provides an ultra-short-term prediction-based smooth new energy power generation control method for an energy storage system. The method comprises the following steps: reading related operation data of new energy and the energy storage system; building a target function on the basis of an ultra-short-term prediction power and a charged state of the energy storage system; optimizing six control variables in a control strategy by an adaptive chaotic particle swarm optimization algorithm according to the target function; obtaining a power command value of the energy storage system on the basis of the optimal solution of the control variables and carrying out power limitation on the power command value of the energy storage system; updating the control variables in a rolling manner according to the characteristic that ultra-short-term prediction forecasts once every 15 minutes; and outputting the power command value of the energy storage system to an energy storage control system to execute control on the energy storage system, and achieving a smoothing function of new energy output. By the ultra-short-term prediction-based smooth new energy power generation control method for the energy storage system, the charged state of the energy storage system is kept in an appropriate level; the continuous charging and discharging capabilities of the energy storage system are improved; and cooperative optimization of the smoothing capability and the performance index of the energy storage system is achieved.

The invention relates to metal metallurgy, in particular to a method for sealing stainless steel and ceramic. The method comprises the following steps: a, removing grease and dirt on a stainless steel piece by an alkali washing method; b, electrolyzing the stainless steel piece obtained in the step a; c, plating nickel to the stainless steel piece obtained in the step b, then sintering the stainless steel piece in a hydrogen furnace or a vacuum furnace to 800 DEG C, preserving the heat for 20 minutes, and then discharging the stainless steel piece when the temperature is reduced to 50 DEG C; d, metallizing a ceramic piece; and e, overlapping the stainless steel piece obtained in the step c and the ceramic piece obtained in the step d, keeping the clearance fit states of the stainless steel piece and the ceramic piece in the clearance of between 0.05 and 0.10 millimeter, then putting an Ag-Cu solder on the inflow upper part of the solder, and controlling the rising temperature of the furnace at 150 DEG C per 15 minutes, fully scattering the solder when the temperature rises to 780 DEG C, then preserving the heat for 5 minutes, and reducing the temperature, wherein the temperature reducing speed and the temperature rising speed are the same. The parts prepared by the scheme do not release air under the vacuum condition, have no magnetism, and have good corrosion and heat resistance, low-temperature strength and mechanical property; and the price of materials is moderate.

The invention discloses a multi-source coordinated scheduling and control domain partitioning method for the operation of a new energy power system. According to the method, an important reference basis for a unit combination arrangement is a daily load prediction curve, and the curve has significant crests and troughs. In a crest period, output of the unit needs to be increased; in a trough period, output of the system needs to be decreased, and energy storage equipment is used; in the lowest trough, that is, a cusp trough period, because of the limitation of unit output reducing degree and energy storage equipment capacity, when total output is still larger than a load level in the state of minimum unit output and energy storage equipment full load, the system needs to abandon nuclear energy, abandon wind energy, or even abandon luminous energy to ensure the stability of the frequency. According to the multi-source coordinated scheduling and control domain partitioning method for theoperation of the new energy power system, the operating states of wind power, energy storage and thermal power multi-source systems are divided into three states of normal domain, abnormal domain andemergent domain. The three state domains have different characteristics and are suitable for different scheduling and control methods, a specific value of state domain division updated at intervals of fifteen minutes can be obtained, three sets of data is output for nearly thirty minutes, and the scheduling and control of the power grid domains are facilitated.

The invention provides oxidized starch, a preparation method thereof and application. The preparation method of the oxidized starch includes the steps: (1) under the condition of mixing, spraying catalyst solution into the starch, spraying oxidants and increasing the temperature to reach 30-50 DEG C; (2) after mixing the starch every 15 minutes within an hour, spraying residual oxidants to react for 4-8 hours; and (3) cooling the starch, adding neutralizers until the pH (potential of hydrogen) of a system is 6-8, crushing the starch, and screening the starch by a screen with 90-120 meshes to obtain the oxidized starch. The weight of the sprayed oxidants accounts for 30-60wt% of the overall weight of oxidants, catalysts are sodium hydroxide or potassium hydroxide, and the oxidants are hydrogen peroxide. The oxidized starch can be used for gluing the surface of paper, continuous and uniform films are formed on the surface of a paper sheet, oil resistance and scratch resistance of the paper sheet can be improved, and smoothness and glossiness of the paper sheet are improved. When the oxidized starch is used for internal sizing, paste can be uniformly and adsorbed on fibers, and the bursting strength and the folding resistance of the paper are improved.

The invention provides a black tea manufacturing method which comprises the following special steps: (1) wilting: tea leaves are put in a wilting machine for wilting, the spreading thickness of the tea leaves is 40-60 cm, the tea leaves are first wilted for 2-3 h by cold air and then wilted for 1-2 h by hot air, the hot air temperature is 35-40 DEG C, the wilting machine is stopped for 1 h, the tea leaves are wilted for 1-2 h by hot air again, the hot air temperature is 35-40 DEG C, and during the wilting process, the tea leaves are turned every 15 minutes; (2) twisting: a twisting machine is adopted for twisting the tea leaves; (3) fermenting: a full-automatic fermenting machine is adopted for fermenting; (4) drying: the tea leaves are put in a drying machine, the spreading thickness is 8-10 cm, the tea leaves are dried for 10-15 min for the first time at the control temperature of 130 DEG C, then are dried for 10-15 min for the second time at the control temperature of 80 DEG C, next, the tea leaves are taken out from the drying machine, and are cooled for 30-40 min after being spread, and the tea leaves are put in the drying machine again and then dried for 6-10 min for the third time at the control temperature of 80 DEG C. The black tea manufacturing method can reduce the manufacturing time of black tea considerably, and improves the black tea quality.

The invention discloses an accurate steering adjustment method for a photovoltaic solar panel, which comprises the steps of (a) acquiring latitude and longitude coordinate information and current day data information; (b) acquiring local sunrise time and sunset time of the current day according to the latitude and longitude coordinate information and the data information; (c) calculating the time difference between sunrise and sunset according to the sunrise time and the sunset time; (d) acquiring the average angular velocity Y of the sun between sunrise and sunset; (e) enabling the photovoltaic solar panel to face towards the due east, timing from the sunrise time, rotating the angle of the photovoltaic solar panel every 15 minutes with the rotation amplitude being 15*Y at each time, wherein the photovoltaic solar panel rotates clockwise along the horizontal direction if the photovoltaic solar panel is located in the northern hemisphere, and the photovoltaic solar panel rotates anticlockwise along the horizontal direction if the photovoltaic solar panel is located in the southern hemisphere. The method disclosed by the invention is used for solving a problem in the prior art that the orientation of the photovoltaic solar panel is inconvenient to be adjusted, and a purpose of carrying out accurate control on angle adjustment of the photovoltaic solar panel is realized according to local specific sunlight conditions.

A method for preparing ZnO / Ag nanometer composite materials in a room temperature includes the steps of firstly, placing nanometer zinc powder in a conical flask, adding dispersion liquid to the conical flask, and evenly mixing the nanometer zinc powder with the dispersion liquid in a shaking mode; secondly, placing the conical flask in an ultrasonic apparatus to be processed for 6 hours to 10 hours, taking the conical flask out every 15 minutes and shaking the conical flask for 30 seconds; thirdly, preparing milk white ZnO micro emulsion suspension liquid, and placing the upper portion of the suspension liquid into a test tube; fourthly, dropwise and evenly adding an AgNO3 solution to the test tube, evenly mixing the AgNO3 solution with the suspension liquid in the test tube in a shaking mode until brown-black floccule does not increase any more; fifthly, separating out brown-black sediment in a centrifugal mode, repeatedly washing the sediment through deionized water, placing the sediment into a clean reagent bottle, and adding absolute ethyl alcohol to the reagent bottle to disperse the sediment in a shaking mode, and placing the reagent bottle into the ultrasonic apparatus again for half an hour; sixthly, drying the product in the room temperature, and obtaining the final product, wherein the mass ratio of the nanometer zinc powder to the dispersion liquid ranges between 1 to 10 and 2 to 10, the ratio of water in the dispersion liquid to cyclohexane in the dispersion liquid ranges between 10 to 1 and 21 to 1. The method for preparing the ZnO / Ag nanometer composite materials in the room temperature is simple in process and economical and has environmental friendliness significance, and prepared ZnO / Ag nanometer composite materials are stable in structure and even in granularity.

The invention provides a data hub-business support system networked method, which has an N+1 architecture, comprising: firstly, storing subscriber data of each presidial city in N node databases, incrementally copying the subscriber data list and client data distributed in N node databases to a hub database by database technology every fifteen minutes, establishing a global subscriber data list and client data map, and storing the cross-area service data in a hub database; secondly, rapidly and linearly increasing node dilatancy by configuration control by a function actualization system for transferring the hub database of a net copy relation to a simple star relation; and thirdly, establishing a uniform client data management platform and a data supply center by a hub database, and actualizing a foreign subscribe and issuance according to need by a uniform interface of the hub database.

The invention relates to a detecting and reloading technology for a load box, and belongs to the technical field of detection of self-reaction force balance load box foundation pile detection devices. The technology comprises the following technical steps of (A) a loading stage: performing loading stage by stage according to the tonnage of the load box 6, and applying the next stage of the load after each stage of the load is relatively stable until a maximum pre-detection load value is obtained; (B) an unloading stage: preserving the pressure for a period of time when the maximum value is obtained, then starting to release the pressure, measuring residual settlement once every 15 minutes when each stage of the load is released, measuring the residual settlement at the second time, and measuring the residual settlement again after 30 minutes so as to release the next stage of the load until the pressure is zero; (C) a reloading stage: after unloading is finished, determining the maximum reloading pressure, loading to reach a bearing capacity feature value of a pile foundation at a time, switching off a high-pressure ball valve 1 after the pressure is stabilized, dismounting a high-pressure oil pipe 2, and burying the high-pressure ball valve 1, a quickly replaceable joint 3 and a rubber pipe together into concrete during manufacturing of a sunk table to achieve a supporting effect through high-pressure hydraulic oil between a lower section pile 4 and an upper section pile 5 of the foundation pile, so that settlement caused by the construction in the later stage and the gravity of house buildings can be borne.

A 3D avian radar sampling system comprises a 3D volume scanning radar system and an avian track interpreter. Scanning methods employed ensure that volume revisit times are suitably short and track data produce 3D target trajectories. The avian interpreter uses the track data from the volume scanning radar to create detailed avian activity reports that convey bird abundance and behavior within a 3D cylindrical volume on intervals including hourly, daily, weekly, monthly and yearly. Hourly activity reports (updated typically every 15 minutes) provide enhanced situational awareness of developing hazards and are actionable, allowing operators to dispatch wildlife control personnel to respond to threats.

The invention discloses novel phosphate-free water retaining agent for shrimp meat and a usage method thereof. The novel phosphate-free water retaining agent for the shrimp meat comprises the following compositions: 0.3-1.5% w / v of chitosan, 0.5-2.5% w / v of collagen peptide, 0.1-0.9% w / v of sodium chloride, and the balance deionized water. The usage method of the novel phosphate-free water retaining agent for the shrimp meat comprises the following steps: obtaining shrimp meat from live shrimps; adding the novel phosphate-free water retaining agent, wherein the volume of the novel phosphate-free water retaining agent is 5 times of the volume of the shrimp meat, carrying out soaking at 4 DEG C for 10-120 minutes, and carrying out stirring every 15 minutes; fishing the soaked shrimp meat out, thoroughly draining the shrimp meat, and putting the drained shrimp meat into a freshness preservation package; exhausting air, and carrying out storing in a refrigerator at 80 DEG C below zero for 5-10 days; and then, transferring the shrimp meat into a refrigerator at 20 DEG C below zero so as to carry out refrigeration. Being determined by using related water holding indexes, the water retention property of the novel phosphate-free water retaining agent for the shrimp meat is comparable to marketed phosphate water retaining agent; moreover, the raw-material components of the novel phosphate-free water retaining agent are easy to obtain, low in cost, edible, and environmentally friendly. In addition, the whole preparation process and the preparation method are simple in steps, the equipment investment is small, and the cost is low; thus, the novel phosphate-free water retaining agent for the shrimp meat and the usage method thereof are suitable for industrialized production.

The invention discloses a method for quickening channel change speed of a digital TV (television) set-top box by combining unicast with multicast, relates to the field of digital TVs, and aims at solving the problem that the channel change speed of the existing digital TV set-top box is slow. The method for quickening the channel change speed of the digital TV (television) set-top box by combining the unicast with the multicast is characterized in that a unicast link is created in a multicast link of the existing digital TV set-top box; the unicast link is adopted during channel change, and the unicast link is switched into the multicast link after the channel change is finished. The rapid channel change function of a client-side digital set-top box is realized, and the channel change switching time is shortened to be less than 0.3 seconds from being greater than 1 second, therefore the user experience is promoted to a large extent; meanwhile, before switchover between the unicast and the multicast every time, unicast link transmission can be occupied for only ten seconds, so handling overhead and network throughput consumption on a central server are quite limited; calculated according to the probability that a channel is switched every 15 minutes on average, the handling overhead and network throughput consumption is only equivalent to 1.1 percent of server resources consumed by totally adopting the unicast link.

The invention discloses a technology for manufacturing black tea with a pine needle fragrance. The technology comprises the following steps: picking fresh leaves; withering; rolling through a three-step approach; fermenting for the first time: putting rolled leaves in a fermentation tank, preserving the temperature at 26-29 DEG C, performing atomizing fermentation with the humidity being 90-92%, automatically turning over the leaves every 15 minutes, adding a pine needle extracting solution in the manner of mist spray before turning over, and automatically stopping turning over the leaves after uniform mixing; drying for the first time; fermenting for the second time; drying for the second time until the moisture content of the tea leaves is 10-12%; mixing the tea leaves and pine needles for the first time; mixing the tea leaves and pine needles for the second time; screening; drying for the third time until the moisture content of the tea leaves is 6% or below, and kneading tea stems into tips by hands. According to the invention, the pine needle extracting solution is added during fermentation, and the aromatic substance in pine needles is fully adsorbed by the tea leaves through one-time natural mixing and one-time high-temperature steam mixing, so that the pine needle fragrance and the tea flavor are integrated, and after the tea leaves are brewed, the tea soup is red bright and smells fragrant.

The invention relates to the technical field of data processing. in particular to a power grid maximum load and heavy overload big data analysis method based on MapReduce aggregation calculation. Current (I) data collected every 5 minutes by a medium voltage 10kV feeder, the active power (P), reactive power (Q), power factor (Pf) and other data collected by the 10kV distribution transformer every15 minutes are used to make load analyses of data. Then, a result is acquired through heavy overload times and time accumulation analysis by real-time load such that staff in charge of planning gainsa better understanding of running condition of accounting equipment. The big data platform is used to calculate the number of 10kV feeders in the distribution network, the number of overloads or overloads of 10kV distribution transformers, and each overload or heavyload duration. Therefore, overload or heavyload data is accurately calculated such that staff can have a better understanding of running condition of accounting equipment. The power grid maximum load and heavy overload big data analysis method is highly relevant to solution of current prolems and investments.

The invention provides a withering method of Gongfu black tea. The method comprises the following steps: 1) picking tea tree fresh leaves, putting on a withering rack, and withering for 1.0-1.5 hours, wherein the withering thickness is 0.5-2.5cm, and the leaves are stirred 3-4 times in the withering process; 2) withering the tea leaves in a withering machine with cold air for 50-70 minutes, wherein the tea leaf spreading thickness is 30-40cm; 3) withering with hot air for 30-40 minutes, wherein the hot air temperature is 35-40 DEG C; 4) withering with cold air for 30-50 minutes; 5) withering with hot air for 70-90 minutes, wherein the hot air temperature is 35-40 DEG C; 6) shutting down for 50 minutes; and 7) withering with hot air for 110-130 minutes, wherein the hot air temperature is 35-40 DEG C, and the tea leaves are stirred every 15 minutes in the whole withering process. The method can accelerate the water loss of the fresh leaves and accelerate the conversion of substances in the fresh leaves, and the tea leaves can be withered uniformly and sufficiently. Meanwhile, the method greatly shortens the withering time.

The invention discloses a method for producing alpha-hemihydrate gypsum through a hydrothermal method. The method comprises the following steps of filling gypsum blocks into production equipment through a top feeding port, injecting water containing a crystal modifier through the top end of the production equipment, heating the water inside the production equipment to 143 DEG C, and maintaining the temperature for 4 hours, wherein the steam is introduced for 5 minutes by opening a steam inlet valve on the bottom of the production equipment by 50 to 60 percent every 15 minutes in the heating process and the temperature maintaining process, a steam exhaust valve on the top of the production equipment is opened by 3 to 5 percent in the steam introducing process, the introduction of the steam is stopped after the steam is introduced for 5 minutes, and the steam exhaust valve is closed; and after the temperature is maintained constant, stopping the introduction of the steam, thoroughly exhausting the water and the steam inside the production equipment, continuing heating until the alpha-semihydrated gypsum blocks inside the production equipment are completely dried to obtain the dry alpha-semihydrated gypsum blocks, and then pulverizing the alpha-semihydrated gypsum blocks into a finished product. The entire production process is simple, the production equipment is simple, the production efficiency is high, and the utilization rate of the effective heat is high.

The invention discloses an electric power system outage cost estimation method based on historical loads of a distribution transformer terminals. The electric power system outage cost estimation method comprises the steps of: S1, obtaining numbers of an outage switch and a looped network power supply switch; s2, analyzing distribution transformers influenced by outage; S3, reading historical load values of each distribution transformer per each 15min, and completely adding together; S4, using the total historical load value of the distribution transformers in the same period of the last week as a reference value, multiplying by a growth factor K, and thereby working out load loss of each time point in the outage period; S5, working out electric quantity loss of different load time points of each distribution transformer in the outage time slot by an integral method; S6, obtaining sold electric quantity and general electricity sales income of each distribution transformer in the last month through a marketing system, and then working out the average price of the sold electricity of the distribution transformers; S7, working out electric charge loss of each distribution transformer influenced by outage at a certain time point; S8, adding together all electric charge loss of the distribution transformers influenced by outage at the certain time point; S9, adding together loss at all time points in the outage time slot. According to the electric power system outage cost estimation method based on historical loads of distribution transformer terminals, loss of electric quantity and electric charge in the outage are accurately and efficiently analyzed.

Disclosed is a calculation method for a real-time electricity classified load of a power system distribution transformer terminal. The calculation method comprises an S1 step of collecting real-time telemetry data of all power distribution terminals in an area every 15 minutes; an S2 step of storing the real-time telemetry data into a high-speed timing sequence database; an S3 step of doing statistics of the total electricity sale quantity Wp of a power distribution terminal in the last month, various electricity utilization class information and the power sale quantity of all users in the last month; an S4 step of obtaining the total electricity sale quantity of all electricity utilization classes of the power distribution terminal; an S5 step of obtaining the proportion of electricity sale of an electricity utilization class in the last month; an S6 step of reading out real-time electricity utilization classified loads; and an S7 step of accumulating to obtain the total classified load condition in the area. According to the invention, basic load data can be collected remotely in real time at present, the real-time electricity utilization classified load condition in the area can be calculated by using a specific method, and analysis of the real-time electricity classified load condition is facilitated for a power sector.

A calculation method for real-time power consumption classification load of power system distribution transformer terminals: S1 collects real-time telemetry data of all distribution transformer terminals in a certain area every 15 minutes; S2 stores real-time telemetry data in a high-speed time series database; S3 counts a certain distribution transformer terminal The total electricity sales Wp of last month, the information of each electricity consumption category, and the electricity sales of all users in the previous month; S4 calculates the sum of electricity sales of all electricity consumption categories under a certain distribution transformer terminal; S5 calculates a certain electricity consumption The historical power sales ratio of the last month of the category; S6 reads the corresponding real-time load P of the distribution transformer terminal in the time series database r Multiplied by the power consumption ratio of all power consumption category users of the distribution transformer terminal last month, the real-time power consumption classification load is obtained; S7 accumulates to obtain the regional general classification load situation. The invention utilizes the basic load data which can be collected in real time from a remote place at present, and calculates the real-time power consumption classification load situation of the region by a specific method, so as to facilitate the power department to analyze the real-time power consumption classification load situation.