32results about How to "Accurate investment" patented technology

The invention relates to the heliostat device, and belongs to the solar utilization technology field. The device comprises the mirror group, the azimuth adjusting device, the leveling angle adjusting device, the locating sensor and the control circuit. The axis of the vertical and the horizontal axis are in the same plane and cross vertically; the geometrical center of the mirror group is at the crossing point of the axis; the central line of the locating sensor superposes the connecting line of the crossing point of the axis and the central point of the casting target. The geometrical center does not move no matter how the other parts move, and the locating center is equipped between the central point and the target point, which removes the errors of the prior art and ensures the precise cast of the sunshine reflected by the mirror.

The invention discloses a reserved project optimization method based on contribution degrees of power grid effects. The method comprises the steps of S1, comprehensively collecting power grid reservedproject quantitative evaluation related data information, and establishing a reserved project evaluation index system based on the power grid effects; S2, according to the evaluation index system inthe step S1, analyzing and obtaining a quantitative calculation method for indexes; S3, performing calculation according to the evaluation index system and the quantitative method in the previous step, and by applying a principle of combining subjective and objective weights, determining a weight calculation method for the indexes in comprehensive contribution degree calculation; S4, according toa weight calculation formula in the step S3, carrying out single target optimization by adopting a particle swarm algorithm, and determining optimal weights; S5, according to the optimal weights in the step S4, calculating comprehensive contribution degrees of reserved projects, and carrying out dynamic sorting on the reserved projects by considering the influence on other reserved projects aftercompletion of the reserved projects in combination with the investment of the reserved projects, thereby completing the optimization of the reserved projects.

The invention discloses a reference grid opportunity constraint planning method adapted to large-scale grid connection of wind power, comprising the following steps: giving current grid data, load forecasting value in planning time period, planning scheme of wind farm in planning time period, output level distribution and grid transmission component scheme candidate for grid planning; the optimization model being constructed to minimize the sum of the investment cost and the operation cost of the transmission network in the planning period, and including the constraint conditions to ensure theacceptance level of wind power. The constraint conditions are transformed into mixed integer linear programming (MILP) model, and the conventional mixed integer linear programming (MILP) method is used to solve the optimization model, and the final reference power network optimization scheme is obtained. The invention can be used for evaluating the adaptability of the present power grid in a prospective time scale under the background of large-scale wind power grid connection, defining the development direction of the present power grid, and is an important means for realizing the precise investment of the power grid.

The invention provides a lean decision-making system of a data-driven power distribution network. The invention discloses a lean decision-making system of a data-driven power distribution network. Thesystem comprises a lean decision-making platform, a multi-stage intelligent joint control terminal and an intelligent distribution box, the intelligent power distribution box collects operation datain real time. wherein the data of the intelligent distribution box comprises electric quantity, load, voltage, current, power grid planning information and an electric power and electric quantity balance value; balance values are carried out month by month; the lean decision-making platform comprises a power market analysis module, a power market prediction module, a power supply planning module,a power grid planning module, a power grid auxiliary decision-making module, a differential planning module and a project management module. An analysis result of the lean decision platform is sent tothe multi-stage intelligent joint control terminal, and the multi-stage intelligent joint control terminal makes a lean decision through comprehensive analysis and processing. The lean decision-making system of the data-driven power distribution network provided by the invention solves the problems of low operation economy of the power distribution network, fuzzy positioning of weak links, low planning and construction pertinence and the like.

A portable vehicle stop tire breaker solves the problems that an existing tire breaker is complex in structure, relatively poor in stability and poor in tire breaking effect and can hurt a person mistakenly. The portable vehicle stop tire breaker is characterized in that at least one module base is installed in an aluminum alloy combined base; each module base is provided with tire breaking nails and a protective cover; rolling locating end covers are installed on the left side and the right side of the combined base; the thickness is in normal distribution from the top wall of the protective cover to the side walls of the protective cover; the protective cover is connected with protective cover buckle installation clamping grooves of each module base through protective cover buckles folded inwards flatly; and symmetric oval holes are formed in the rolling locating end covers. The portable vehicle stop tire breaker has the beneficial effects that the aluminum alloy combined base is of a cavity structure, the strength is high, the bottom face is provided with serrated strips, the adhesive force between the bottom face and the ground is improved, the tire breaker falls to the ground and grabs the ground more stably, the perpendicularity and stability of the tire breaking nails can be better guaranteed, the tire breaking nails are prevented from laterally falling, it can be guaranteed that the human body is not harmed due to the wall thickness of the top wall of the protective cover, and the tire breaker can be more conveniently and rapidly grabbed and placed by a user through the arrangement of the rolling locating end covers.

The invention discloses a novel continuous large dropwise adding technological method in sodium hydrosulfite production. An original technological method in sodium hydrosulfite production has the disadvantages that a backing material needs to be prepared, dry sodium formate needs to be added at twice, for the first time, mother liquid is mixed with a certain amount of dry sodium formate so as to serve as the backing material, and for the section time, a certain amount of water is mixed with the dry sodium formate, then the dry sodium formate is heated and molten by using vapor and is used for large dropwise addition. The novel continuous large dropwise adding technological method is characterized in that all dry sodium formate, mother liquid and water are added at a time so as to prepare suspension liquid, and the original interval 'large dropwise adding' is changed into the continuous 'large dropwise adding'. The novel continuous large dropwise adding technological method has the advantages that the production efficiency is improved by 200%, the stability of the quality of the sodium hydrosulfite product is aslo substantially improved, the production is easy to control, the particle size, the yield and the quality of the product are ensured, the working procedures of preparing the backing material and adjusting values are omitted, all the dry sodium formate, the mother liquid and the water are added at a time so as to prepare suspension liquid, the heating melting is not needed, the addition amount of the water is accurate, the using amount of vapor is reduced, and the time is saved. The production efficiency is substantially improved, and the quality and the consistency of the sodium hydrosulfite product are ensured.

The invention relates to a decision method of a three-level distribution network investment decision system, the investment scale decision-making module firstly adopts Logistic growth model to fit therelationship between comprehensive evaluation of distribution network construction status and cumulative investment, and to forecast the target annual electricity consumption for each region, using polynomial to fit the relationship between electricity consumption and cumulative investment, to get the corresponding cumulative investment, and then the regional optimal allocation of distribution network investment is carried out according to the cumulative investment amount, then the investment direction decision module takes the result of regional optimal allocation as the investment constraint of distribution network, according to the attributes of each investment project to the importance of the distribution network construction, the project attributes optimization allocation, investmentproject decision-making module then take the project attributes optimization allocation results as attribute investment constraints, according to the comprehensive evaluation results of each investment project to determine the project optimization model of distribution network investment, and finally the project optimization can be carried out. This design not only guarantees the integrity, coordination and network of the distribution network investment, but also accords with the engineering practice.

The invention discloses a power distribution network investment decision evaluation method and system based on data envelopment analysis, and the method comprises the steps: carrying out the analysis of the collected planning data, financial data, energy data and economic data through a data envelopment analysis algorithm, and obtaining the typical characteristics of the energy flow, value flow and business flow of a power distribution network region; putting the historical data into a knowledge base, and analyzing by combining the content of the knowledge base and the current data; wherein the knowledge base is logic from input to output and is convenient to store in a database, and hard coding logic in a program is reduced; when the demand changes, the knowledge base stored in the database can be directly modified without modifying the program source code. The system comprises an evaluation model, and the evaluation model comprises an envelope analysis unit, an index set generation unit, a processing unit, a knowledge base and a result output unit. According to the method, data envelope analysis is adopted, and dynamic revision of investment decision evaluation is achieved through a knowledge base.

The invention relates to a capacity calculation method of a shared battery based on the battery life, and belongs to the technical field of power grid equipment investment. A charge and discharge demand curve when each user independently use energy storage in present iteration is determined through a linear programming method in each time of iteration according to the electricity price, the user load data and the shared battery life set by present iteration, then the capacity of the shared battery in present iteration and the charge and discharge curve are determined through the linear programming method, and the battery life is updated through a battery aging model. The influence of battery aging on the battery life caused by battery operation is fully considered, and the influence on the equal annual investment cost is considered in the investment decision so that the investment decision of the minimal integrated cost of equal annual investment operation can be made.

The invention relates to an intelligent-operation-based distribution network efficiency evaluation method and system. The method comprises: (1), obtaining historical distribution network operation business data of various indexes in an on-line manner; (2), extracting historical distribution network operation business data of each index one by one and carrying out fitting to obtain a reliability score fitting function of the distribution network operation business of each kind of index; and (3), establishing a distribution network evaluation model based on the reliability score fitting function of the distribution network operation business, carrying out calculation by using current data of the distribution network operation business as an input of the distribution network evaluation model to obtain a distribution network evaluation value of the distribution network operation business of each kind of index, and carrying out summation of the distribution network evaluation value of various distribution network operation businesses to obtain a total distribution network efficiency evaluation value.

The invention relates to an intelligent control method for a smart home. A drum of the smart home is driven by a motor with two levels of rotating speeds, and a washing water sampling container is arranged on the lower portion of the roller. A drum type washing machine is provided with an intelligent control system which comprises a weighing device, a detergent bubble detection device, a washing water cleanness detection device, an automatic detergent supply device, a drainage discharge detection device and a control unit, wherein the weighing device is used for weighing to-be-cleaned clothesplaced into the drum of the washing machine and weighing added washing water, the detergent bubble detection device is used for detecting the quantity of bubbles generated by detergents in the washingwater, the washing water cleanness detection device is used for detecting the cleanness of the washing water after washing, the automatic detergent supply device is used for automatically supplying the detergents for the inside of the drum of the washing machine, the drainage discharge detection device is used for detecting the discharge of the washing water at a water outlet of the washing machine, and the control unit is connected with the motor, a solenoid valve, the weighing device, the detergent bubble detection device, the washing water cleanness detection device, the automatic detergent supply device and the drainage discharge detection device, so that operation of the washing machine is intelligently controlled.

The invention discloses sludge disposal integral equipment, which comprises a belt conveyor, an open type double-shaft material mixing machine and a material cabin, wherein the open type double-shaft material mixing machine is positioned right above the belt conveyor; the material cabin is positioned right above the open type double-shaft material mixing machine; the material cabin comprises a processed material cabin with a downward opening, a raw material cabin with a downward opening and an unprocessed material cabin with a downward opening; a processed material discharging double-shaft screw is arranged at the opening part of the processed material cabin; a raw material discharging double-shaft screw is arranged at the opening part of the raw material cabin; an unprocessed material discharging double-shaft screw is arranged at the opening part of the unprocessed material cabin; at least one material pulling device is arranged in the processed material cabin. The sludge disposal integral equipment has the advantages that material proportioning and the material mixing are more convenient and faster; the proportioning precision is also effectively improved; the occurrence of bridging in the material cabin can also be prevented by the material pulling device; the continuity of the whole material proportioning and material mixing process is ensured; in addition, the occupied area is small; the application range is wide; the automation performance is high; the layout is compact; the land use of a construction party can be reduced.

The present invention discloses a mud-water separation device including a main tank body, the main tank body is provided with a cavity, the upper part of the main tank body cavity is provided with a plurality of filter water suction ends, the filter water suction end is provided with a grid bracket and filter cloth, the plurality of filter water suction ends are in parallel connection on a water suction pipe, the water suction pipe is provided with a water suction pump, the upper end of the main tank body is provided with a helical surrounding coil, the outer end of the coil and a slurry delivery tube are communicated, a down-feed pipeline which is connected with the inner end of the coil is fixedly arranged in the main tank body, the terminal end of the down-feed pipeline opens toward the cavity, a spiral conveyor belt is fixedly arranged in the slurry delivery tube, the lower end of the main tank body is provided with a mud discharge outlet, the slurry delivery tube and a slurry mixing tank are in connection, and the slurry mixing tank is provided with an automatic quantitative feeding device used for conveying additives. The mud-water separation device can achieve automatic and continuous mud-water separation of the slurry, the mud-water separation efficiency is higher, operation is more convenient, and minimal labor is required. The mud-water separation device adopts an automatic quantitative additive feeding structure, so that additive addition is more precise, and the operation is more convenient.

The invention discloses a power grid engineering accurate investment decision simulation method and system based on total element data mining, and solves the problem that a decision result is not accurate enough due to the fact that factors considered by a traditional investment decision simulation technology are not comprehensive. According to the method, a Frisch comprehensive analysis method isadopted, multi-level full-factor influence factor mining analysis is performed from macroscopic, mesoscopic and microscopic aspects, an investment scale prediction model is established by utilizing system dynamics in combination with macroscopic factors and mesoscopic factors, and the investment scale is corrected according to a power grid income coefficient. A power grid project investment evaluation index system is established according to microcosmic factors, a power grid reserve project is evaluated, then power grid project investment optimization is performed by adopting a genetic algorithm with the investment scale as a constraint, and the method can be used for future power grid project investment decision making and provides technical support for accurate investment of power gridprojects.

The invention discloses a city net rate IP transaction flow capitalization device and an implementation method, and belongs to the technical field of networks. The device comprises a terminal WEB application of the market net rate stock distribution platform and the IP transaction platform and a server WEB system of the terminal WEB application, and the WEB is connected through a wired or wireless network. The implementation method of the device comprises the following steps: establishing a market net rate IP transaction platform resource library and a market net rate stock distribution platform, providing an API interface between the market net rate stock distribution platform and the IP transaction platform, realizing data connection between the platforms, converting IP transaction flow into distribution stock quantity according to at least one market net rate optimal calculation method, configuring profit sharing settlement parameters, and calculating the market net rate according to the distribution stock quantity. And settlement and distribution of stock distribution and transaction flow income funds are realized. The method is used for cooperation and co-construction of the mother company of the listed group, the sub-companies of the listed group and the non-listed companies, and capitalization of the IP transaction flow is realized in the field of electronic commerce.

The invention belongs to the technical field of electric power system engineering cost management, and particularly relates to a production technology improvement engineering cost control index system. The method comprises the steps of data acquisition and processing, index system framework construction and index level calculation. According to the method, a set of cost indexes covering various technical improvement projects is established, the technical improvement projects can be supported to be researched and reviewed, the project cost is reasonably determined, and accurate investment is achieved. The technical improvement project cost management and control capability of the state grid operation inspection department and the operation inspection department of each province is further improved, the reasonability of comprehensively and systematically mastering the technical improvement project cost of the state grid operation inspection department and the operation inspection department of each province is facilitated, and powerful data support is provided for decision making of the state grid operation inspection department and the operation inspection department. Through the index system provided by the invention, the cost level of the corresponding class of projects can be quickly mastered, and the project application quality is improved. Therefore, the construction cost control rationality of the review unit is further improved, the project investment rationality is quickly measured, and the review efficiency and accuracy are improved.

The invention discloses a power distribution network grid space collaborative development evaluation method based on source-network-load interaction. The method comprises the following steps: S1, a dynamic index system is constructed; S101, a power grid input index system and a power grid output benefit index system obtain project side evaluation, wherein the project side evaluation comprises project side input and output data superposition; S102, a regional feature index system, a project side input-output data and an external feature data form regional side evaluation, and a regional side evaluation is subjected to regional feature classification to obtain a regional feature classification index system; S2, engineering and regional input-output comprehensive evaluation is performed: an engineering input-output comprehensive evaluation result and a regional feature classification evaluation result are obtained; and S3, deep evaluation of typical cases is performed: engineering dimension microscopic evaluation and regional dimension macroscopic evaluation are performed. The method is used for evaluating whether the power grid can meet the requirements of regional economic development or not, power grid planning is integrated into regional development planning, accurate investment of the power grid is implemented, and the method is of great significance to social economic development.

The invention belongs to the field of energy system configuration optimization, and provides a comprehensive smart energy system configuration optimization method and device considering station building investment. The method comprises the following steps: acquiring project basic data, equipment data and civil engineering data; based on an energy station equipment type selection model, under the operation constraint of each energy model and the electric, thermal and cold power balance constraint in the comprehensive smart energy system, obtaining the equipment type selection, the capacity planning scheme, the output of each type of equipment, the energy station investment condition, the pollutant discharge amount and the comprehensive energy efficiency ratio of the comprehensive smart energy system, wherein the target function of the energy station equipment type selection model is that the station building investment is considered, and the total cost of the whole life cycle of the system is lowest, the annual pollutant discharge amount is minimum and the comprehensive energy efficiency ratio is highest.

The invention discloses a tea leaf roasting device and belongs to the technical field of tea processing machines. The tea leaf roasting device comprises a cooking bench as well as three pan holders arranged sequentially on the cooking bench, wherein three pans are arranged on the pan holders respectively; a feed hopper communicated with a conveyor trough is arranged above the pan close to one sideof the cooking bench, a flow sensor is arranged on the side wall of the feed hopper, and an adjusting plate for controllably adjusting opening size of a discharge port of the feed hopper through a telescopic cylinder is arranged at the discharge port of the feed hopper; the flow sensor is connected with a solenoid valve, used for controlling the telescopic cylinder, through a controller; a tea leaf flow channel is formed between every two adjacent pans, and a fan is arranged in each tea leaf flow channel and electrically connected with the controller. The tea leaf roasting device can solve the problems of high labor intensity and inaccurate tea leaf feeding quantity of the conventional tea leaf roasting device.