704results about How to "Reduce operating costs" patented technology

The invention relates to the technical field of packaging, in particular to an intelligent metering method for remnant base paper rolls of a corrugated paper board assembly line. The intelligent metering method for the remnant base paper rolls of the corrugated paper board assembly line comprises steps as follows: a plurality of base paper feeding positions are arranged in the conveying direction of the assembly line at intervals, a base paper feeding frame is arranged in each base paper feeding position, and two base paper feeding rolls located on two sides of each base paper feeding frame are arranged on the base paper feeding frame; each base paper feeding roll is provided with lap recording sensors and incremental encoders, the lap recording sensors are used for monitoring the number of paper feeding laps of base paper clamped on the corresponding base paper feeding roll, the incremental encoders are used for monitoring the length of each lap after the base paper on the base paper feeding roll passes by one lap, and the lap recording sensors and the incremental encoders are connected with a controller. Intelligent metering can be realized, the operation cost of an enterprise is reduced, labor is saved, and the utilization rate of enterprise resources is increased.

The invention provides a water plant raw water and clear water lifting pump station joint optimization energy-saving dispatching method and system for solving the problems that traditional pump station dispatching depends on artificial experience, global optimization is lacked, and energy waste is serious. Comprising the steps that a flow-lift and flow-efficiency relation model is established, and a variable frequency pump deduces a performance formula under any frequency based on the similarity law; in the first-stage optimization scheduling, the optimal flow of a water intake pumping station and the optimal water storage level of a clean water tank in each time period are determined by adopting a dynamic programming algorithm and taking the minimum total work of the system as a target, and the conditions of flow balance, water level constraint and the like are met; and in the second-stage optimization scheduling, the genetic algorithm is adopted to optimize the combination and operation frequency of the water pumps in each time period by taking the minimum total power of the pump set as a target, and a flow and lift deviation penalty term is introduced. According to the method, water taking, water storage and water supply whole-process collaborative optimization is achieved, the energy saving rate exceeds 10%, the operation cost is reduced, the method adapts to dynamic changes of the water source tide level and the water demand, and the dispatching intelligent level is improved.

The invention discloses a satellite autonomous task planning method and system based on a ground digital mirror image, and belongs to the technical field of spacecraft measurement and control. Through the states of a satellite-ground link synchronous satellite and a ground digital mirror image, a task request is received in the ground digital mirror image, a planning algorithm is operated, a candidate scheme is generated for high-fidelity simulation deduction and verification, a feasible scheme is evaluated and selected and converted into an instruction sequence to be uploaded to a satellite, the satellite executes an instruction and feeds back the state, and a closed loop is formed. According to the method, a complex planning and verification process is placed in a ground digital mirror image, the efficiency and reliability of task planning are remarkably improved by using the strong computing power of the ground, meanwhile, the autonomous operation capability of a satellite is improved, and the problems that traditional satellite task planning is slow in response and poor in reliability, and the autonomous planning capability of a pure satellite is weak can be solved.

The invention relates to the field of solid-state batteries, in particular to a halide electrolyte, a preparation method and a solid-state battery. The halide electrolyte comprises a tin element, and the chemical formula of the halide electrolyte is Li2Zr < 1-x > Sn < x > Cl < 6-4x > O < 2x >, and x is less than or equal to 0.3. Through tin-oxygen co-doping, force is exerted at the same time from the two aspects of crystal structure (bulk phase) and interface chemistry, the key problems of ionic conductivity, electrochemical stability, interface compatibility and the like are cooperatively solved, the cost and the process are perfectly considered, and an all-solid-state battery electrolyte solution with a great commercialization prospect is provided.

The invention relates to the technical field of oil field oil production engineering, in particular to an underground data acquisition unit with flow, pressure and temperature monitoring functions and a method. The method is suitable for underground working condition monitoring of submersible motor type lifting equipment such as submersible screw pumps, submersible plunger pumps and submersible centrifugal pumps. The unit comprises a pressure-resistant shell, wherein a central pipe, an electromagnetic flowmeter, two pressure and temperature sensors and an underground parameter collector are integrated in the pressure-resistant shell; the two sensors are used for measuring the temperature and pressure of liquid flow of the central pipe and the temperature and pressure of an oil casing annulus respectively; the electromagnetic flowmeter measures the flow, and real-time temperature and pressure data are used for compensation to improve the precision. The unit is further provided with a collecting pipe, an upper end, a lower end, a connecting sliding ring, an annulus / oil pipe inner testing channel, a sealing rubber ring and the like. Through the integrated design, synchronous high-precision in-situ monitoring of underground key parameters is achieved, the problem that underground data of multiple instruments are not synchronous is solved, and a reliable data terminal is provided for an intelligent oil field.

The invention relates to an artificial hail suppression operation method, device and equipment and a medium. The method comprises the steps of performing data fusion processing on multi-source meteorological monitoring data, airspace control information, an operation point resource state and protection target information to generate a dynamic operation situation map; constructing a multi-target robust optimization model based on the dynamic job situation map; an improved multi-objective evolutionary algorithm is adopted to solve the multi-objective robust optimization model, and a Pareto optimal solution set is obtained; performing multi-attribute decision on the Pareto optimal solution set based on the real-time preference weight, and generating an optimal operation scheme meeting actual requirements; and analyzing the optimal operation scheme to generate a specific operation instruction. By adopting the method, the limitation that traditional artificial hail suppression operation depends on experience decision can be effectively broken through, the operation blindness is reduced, the reasonable distribution of operation resources is realized, the protection effect of important areas is improved, the operation cost and disaster loss are reduced, and the scientization, precision and high-efficiency level of the artificial hail suppression operation is remarkably improved.

This invention provides a warehouse management method for emergency supplies in smart facilities. It obtains production date, shelf life, and initial environmental parameters by parsing electronic tags on emergency supplies. A dynamic suitable temperature range is generated based on a nonlinear mapping between shelf life and initial temperature value, and a dynamic suitable humidity range is generated based on a correlation model between production date and initial humidity value. The overlap between the remaining shelf life and the suitable temperature range is calculated as a first priority factor, combined with the real-time warehouse load rate to generate a second dynamic allocation factor. A priority fusion algorithm is used to integrate and generate a material allocation matrix. The target warehouse environmental parameters are monitored in real time. When parameters exceed the suitable range, a multi-level adjustment strategy is triggered. If verification fails, a parameter self-learning engine is activated, achieving intelligent control and optimization of the warehouse environment, improving the safety and management efficiency of emergency supplies storage. This application can dynamically adapt to changes in material characteristics and optimize the precision of warehouse environment control.

The utility model discloses a multi-degree-of-freedom adjustable undercarriage disassembling and assembling device which comprises a movable base, a lifting mechanism, a fine adjustment mechanism, a support adjusting mechanism, a control cabinet and four axle supports. According to the multi-degree-of-freedom adjustment undercarriage dismounting and mounting device, horizontal movement is achieved through the movable base, lifting movement is achieved through the lifting mechanism, angle adjustment is achieved through the fine adjustment mechanism, and therefore three-dimensional movement of an undercarriage in the mounting process and accurate alignment with a standard mounting angle are achieved, and the problem that manual angle adjustment is difficult is solved; the disassembly and assembly processes of the undercarriage are more efficient and convenient; the support adjusting mechanism is used for adjusting the distance between the four axle supports, so that the four axle supports can be suitable for most undercarriages of common models, and the operation cost of airlines and maintenance factories is greatly reduced.

This invention provides a carbon dioxide recovery cascade refrigeration system, including a circulation loop and a first heat exchanger, a compressor, a condenser, and a first oil drain pipe disposed on the circulation loop. The circulation loop is used for the flow of carbon dioxide heat exchange medium. The first heat exchanger has independent first and second heat exchange channels. The first heat exchange channel has a first inlet and a first outlet. The second heat exchange channel has a second inlet and a second outlet respectively connected to the circulation loop. The carbon dioxide heat exchange medium in the second heat exchange channel is used to reduce the temperature of the medium in the first heat exchange channel. An oil drain port is provided at the bottom of the first heat exchange channel. The gas inlet of the compressor is connected to the second outlet of the first heat exchanger. The condenser is located downstream of the compressor and is used to condense the carbon dioxide heat exchange medium after compression by the compressor. The oil drain port is connected to the inlet of the compressor through the first oil drain pipe. This system uses carbon dioxide as the heat exchange medium, resulting in low cost.

The invention provides an electrochemical method, an electrode and a system for synthesizing hydrogen peroxide without aeration, and relates to the technical field of electrochemical preparation of hydrogen peroxide. The multistage hole penetrating type cathode with a specific multistage hole channel structure is adopted, the oxygen-containing electrolyte penetrates through the multistage hole penetrating type cathode for electrochemical reaction under the non-aeration condition, dissolved oxygen in fluid is forced to make efficient contact with catalytic active sites through the multistage hole channel structure, the mass transfer process is greatly enhanced, and the catalytic activity of the catalyst is improved. And the diffusion limitation of the traditional flow-through electrode is overcome. And meanwhile, the structure required for synthesizing hydrogen peroxide is simplified by an aeration-free operation mode, and the energy consumption and the cost are reduced. Finally, through the synergistic effect of the technical characteristics, the high-yield and high-flux synchronous output of hydrogen peroxide can be realized under the condition that an expensive catalyst and external gas aeration are not needed.

The invention discloses an air tightness adjustable heat preservation structure and method for connection of a prefabricated composite wall and a broken bridge door and window, and relates to the technical field of civil engineering, the air tightness adjustable heat preservation structure comprises a composite wall body, and is characterized in that an assembly groove is formed in the composite wall body, a fixed base is arranged in the assembly groove, and a door and window body is installed on the fixed base; a mounting groove is formed in the side, facing the door and window body, of the fixed base, a heat preservation assembly is arranged in the mounting groove, and the heat preservation assembly is attached to the bottom of the door and window body in a sealed mode. A built-in adjusting assembly is further arranged in the mounting groove, and the built-in adjusting assembly is connected with the heat preservation assembly and used for adjusting the sealing tightness of the heat preservation assembly. The sealing structure has the beneficial effects that the design of the inflatable closed rubber pipe is adopted, so that the inflatable closed rubber pipe expands and compresses a gap between the composite wall body and the door and window main body, the air tightness is adjustable, and the sealing performance reduction caused by material deformation or aging can be automatically compensated.

The application relates to the technical field of lamps, in particular to a solar-powered flash lamp and a control system thereof, wherein the flash lamp comprises a flash lamp body, an energy storage battery connected with the flash lamp body, a solar panel connected with the energy storage battery, a wireless communication module and a control component connected with the energy storage battery, the wireless communication module receives a remote control instruction of the flash lamp body, and the control component controls the opening and closing of the flash lamp body based on the remote control instruction. Therefore, the flash lamp control technology in the related art cannot realize wireless linkage triggering, and the construction and maintenance costs are high.

The utility model provides a kind of for coke coal pre-arrangement gangue intelligent dry method sorting equipment, it belongs to coal sorting technical field, wherein upper layer X-ray generator, upper layer beating device, lower layer X-ray generator and lower layer beating device are all installed on equipment rack, unified dust collector and control terminal are equipped;Upper layer X-ray receiver and lower layer X-ray receiver are respectively arranged in the inner cavity of upper layer sorting conveying device and lower layer sorting conveying device;Upper layer sorting conveying device and lower layer sorting conveying device all include transmission belt, transmission roller and driving motor, transmission roller is fixedly connected in the inner cavity of equipment rack by bearing.Compared with traditional single-layer photoelectric sorting equipment, the utility model uses upper and lower double-layer sorting structure, a single device can process two layers of coal simultaneously, greatly improves the processing capacity of coal, when facing a large number of coal sorting tasks, multiple devices do not need to be used simultaneously, saves sorting time, improves overall production efficiency.

The present application relates to a kind of methods for predicting the capacity of retired battery based on XGBoost algorithm, comprising the following steps: S1, the real-time current, voltage, capacity data of a plurality of retired battery cells during charging and discharging process are collected to construct features, and feature data set is obtained after screening, training set and validation set are constructed;S2, battery capacity prediction model is constructed based on improved XGBoost algorithm, the battery capacity prediction model constructed is trained according to training set and validation set, and the trained model is obtained;S3, for the retired battery cell to be predicted, the battery capacity of the retired battery cell is predicted using the trained model.The present application greatly shortens the capacity grading time by collecting part of the charging data for feature extraction and model training, and the average error of capacity prediction is ≤1%.The initial one-time equipment investment can be greatly reduced, and the operating cost will also be reduced in the later period.This method greatly shortens the capacity grading time, reduces the charging and discharging energy consumption, and saves the electricity cost.

The utility model belongs to the field of agricultural engineering technical field, and disclose a kind of anti-winding straw returning to field rotary tiller, including frame, the one end of frame is equipped with driving motor, and the both sides inner wall of frame is rotatably connected with connecting plate, the one end of two connecting plates is fixedly connected with driving shaft in common, the outer surface of driving shaft is equipped with several rotary tiller blades, the driving shaft includes two circular grooves being opened in driving shaft inner surface, the inner surface of two circular grooves is slidably connected with driving table, the inner surface of two connecting plates is equipped with power motor, the utility model is driven shaft is set, under the action of power motor driving screw rod rotation, driving table slides along circular groove and drives connecting block to push cutting knife to extend from accommodating groove, can actively cut off the straw being wound on driving shaft or rotary tiller blade, avoid the problem of work efficiency decline caused by straw winding, without manual shutdown cleaning, reduce operating cost and work time consumption.

The application relates to the field of sanitation operation scheduling, in particular to a sanitation operation scheduling method based on the Internet of Things, which comprises the following steps: determining an iterative stop condition of a load CEEMDAN model based on time local weighted variance of load data, so as to generate vehicle load characteristics; generating vehicle oil consumption characteristics through an oil consumption CEEMDAN model based on statistical values of load data residuals and oil consumption data residuals, so as to calculate oil consumption channel residual signals; generating comprehensive vehicle carrying characteristics through a feature extraction model based on a multilayer perception machine, a gating mechanism and a cross-modal attention mechanism; and generating corrected vehicle garbage load through a long short-term memory network and a fully connected layer architecture. The application realizes efficient noise reduction and accurate decomposition of non-stationary time series data of oil consumption and load, realizes accurate processing of Internet of Things data of garbage transfer vehicles, improves the operation efficiency of the garbage transfer vehicles and reduces the operation cost.

This invention relates to a navigation method for underwater unmanned vehicles (UUVs), comprising the following steps: acquiring data from multiple sensors and performing spatiotemporal synchronization, feature extraction, and data fusion preprocessing; defining the underwater operating area as a directed graph, with edge weights determined based on terrain complexity, obstacle risk, and water flow influence; based on the directed graph, employing an improved A* algorithm for global path planning and a fast exploratory random tree algorithm for local path planning and dynamic obstacle avoidance; assessing the environmental state considering aquatic environmental parameters, water flow characteristics, and topographic changes; and adjusting the navigation strategy using a deep reinforcement learning algorithm, with the navigation strategy adjustment objective function as the optimization goal, based on the environmental assessment results and the UUV's own state. Compared with existing technologies, this invention offers advantages such as improved navigation accuracy, reliability, and adaptability of underwater UUVs in complex underwater environments.

This utility model belongs to the field of industrial instrument maintenance technology, specifically relating to a portable online cleaning device for flow meters. It includes an air tank, a pressure regulating valve connected to the top surface of the air tank, a pressure gauge connected to one side of the pressure regulating valve, and a quick connector connected to the other side of the pressure regulating valve. A medium flow pipe is connected to the surface of the air tank, and an electric air source is connected to the other end of the medium flow pipe. A knob is connected to the top surface of the air tank, and a handle is also connected to the surface of the air tank. When cleaning gas or steam flow meters, the lithium battery-powered electric air source drives the compressed air in the air tank. After the pressure is regulated by the pressure regulating valve, the compressed air is delivered to the flow meter through the quick connector. This portable gas-liquid time-division multiplexing type online cleaning device for flow meters, with its significant advantages of high efficiency, low cost, and high versatility, brings a new solution to the field of industrial instrument maintenance, effectively improving production efficiency and reducing enterprise operating costs.

The invention relates to an intelligent scheduling system and method for security and protection video streams of an intelligent television. The intelligent scheduling system comprises a user, an Android TV client (TV client for short), a Web signaling server, a Relay proxy server and a camera. The user interacts with the TV client through an input device of the remote controller and initiates a watching instruction; the TV client is used for receiving a user instruction, performing signaling interaction with the Web signaling server, and establishing video stream connection with the camera or the Relay proxy server; the Web signaling server is used as a control center of the system and is used for receiving a request of the client, carrying out intelligent scheduling decision making and issuing a control instruction to the downstream camera and the client; the Relay proxy server serves as a video stream transfer node and is used for forwarding video stream data when P2P direct connection is unavailable; and the camera is used for collecting a video stream and pushing the video stream to the TV client or the Relay proxy server according to an instruction of the Web signaling server.

A wastewater regeneration device includes an electrolytic cell, multiple cation exchange membranes, and at least one anion exchange membrane. The cation exchange membranes and anion exchange membranes are alternately and spaced apart within the electrolytic cell to divide the cell into two electrode chambers, at least one first compartment, and at least one second compartment. Each first compartment is configured to receive anion-containing wastewater and regenerate it into a chemical reagent. Each second compartment is configured to receive anions from the anion-containing wastewater via the anion exchange membrane and cations from the anion-containing wastewater or electrolyte via the cation exchange membrane, and to synthesize an acid solution using the anions and cations. A surface treatment process system incorporating the wastewater regeneration device is also proposed, as well as a wastewater regeneration method utilizing the wastewater regeneration device.

This application relates to a sprayer capable of mounting different agricultural implements, belonging to the technical field of sprayers. It includes a carrier with a detachable support at its rear. The support is equipped with a liquid storage tank, a nozzle, and a blade. The liquid storage tank is fixed to the top of the support, and a water supply pipe connects the tank and the nozzle. A first vertical tube is mounted on the support, running vertically. An electric cylinder is fixed to the first vertical tube, also running vertically. A second vertical tube is fixed to the blade, running vertically with its top end fitted onto the outer wall of the first vertical tube. The second vertical tube slides along the length of the first vertical tube. The piston end of the electric cylinder is fixedly connected to the outer wall of the second vertical tube. This application improves the efficiency of field operations.

The invention relates to the technical field of clinical detection of cerebrospinal fluid, and particularly discloses a smear device for detecting cerebrospinal fluid, which mainly comprises a sample tube and a piston assembly, the sample tube comprises a first tube body, a second tube body and a third tube body; the second pipe body is located above the first pipe body, a liquid outlet hole is formed in the bottom, and a liquid inlet hole is formed in the side wall; the bottom of the third pipe body is communicated with the liquid inlet hole through a flow channel; the piston assembly comprises a piston, a handle part and a center rod; the piston is fixedly connected with a tongue part, the center rod can be inserted into the liquid outlet hole, and the piston assembly is provided with an initial station and a flaking station. According to the smear device for detecting the cerebrospinal fluid, the manufacturing process of a cell smear is simplified, operation is convenient and fast, the smear manufacturing efficiency is remarkably improved, the smear manufacturing time is shortened, unnecessary physical damage to cells in the smear manufacturing process is avoided, then cell rupture and dissolution can be effectively reduced, and the smear quality is remarkably improved; meanwhile, the comprehensive cost of manufacturing the cell smear is obviously reduced.

The present application relates to the technical field of shale gas sampling, in particular to a shale gas exploitation sampling device and method, the device comprises a box body and an inspection door, a filter box is arranged in the upper middle part of the box body, a low-temperature box is arranged in the lower middle part of the box body, an adsorption box is arranged in one end of the box body, a shunt pipe is arranged on the inner wall of the bottom end of the low-temperature box, a cooling mechanism for low-temperature water removal is arranged in the low-temperature box, a filtering mechanism for automatic filtering and automatic cleaning is arranged in the filter box, an adsorption mechanism for adsorption is arranged in the adsorption box, and a connecting mechanism for connecting a sampling pipeline is arranged in one end of the box body. The device can be suitable for sampling pipelines of different sizes and shapes, can ensure the firmness and sealing property of the connection, can automatically sample and purify different shale gases comprehensively, and can ensure the accuracy and sufficient amount of sampling.

The invention provides a micro-scale steady-state meniscus model construction method and device, equipment and a medium, and belongs to the field of micro-scale in-pore flow simulation calculation. According to the method, a micro-scale pore meniscus molecular model containing an upper flat plate, a lower flat plate and a left fixed flat plate is constructed, and liquid is filled in the micro-scale pore meniscus molecular model; the method comprises the following steps: performing energy minimization to obtain a liquid static structure, moving a flat plate to obtain a steady-state structure, performing stress analysis on the steady-state meniscus structure, and counting horizontal tangential force borne by the flat plate under the unit length of a liquid-solid interface within preset time. By constructing the micro-scale pore meniscus molecular model, fluid dynamic behaviors of a three-phase contact line area under the micro-scale can be simulated, data which is difficult to obtain in experiments such as a three-phase interface liquid molecule migration mechanism and the like can be obtained, and the problem that a current experimental method is difficult to reveal a micro-nano liquid-solid interface flow mechanism is solved.

The utility model provides a temperature regulating system of a compressed air energy storage chamber, which comprises an artificial chamber horizontally arranged underground, a vertical shaft arranged at the top of the artificial chamber, an air circulating pipeline and a water pipeline, the air circulating pipeline and the water pipeline are arranged in the artificial chamber, and an air inlet and an air outlet at two ends of the air circulating pipeline are oppositely arranged along two sides of the artificial chamber respectively. An axial flow fan is arranged in an air inlet of the air circulating pipeline, the water pipeline comprises a water inlet pipeline and a water outlet pipeline, the water inlet pipeline is communicated with a water outlet of the warm water tank and an in-plant circulating cooling water inlet, the water outlet pipeline is communicated with a water inlet of the cold water tank and an in-plant circulating cooling water return port, and a spiral heat exchange pipe is arranged between the water inlet pipeline and the water outlet pipeline. The spiral heat exchange pipe is embedded in the air circulation pipeline behind the axial flow fan and used for exchanging heat with air in the chamber, adjusting the temperature of the air in the artificial chamber during inflation energy storage and deflation energy release, guaranteeing the structural safety of surrounding rock around the artificial chamber and prolonging the service life of sealing materials in the chamber.

The invention discloses a control valve and a packer, and belongs to the technical field of oilfield development, the control valve comprises a pipeline assembly and a control assembly, a moving channel is formed in the pipeline assembly, and a closing position and an opening position are arranged in the axial direction of the moving channel; the control assembly comprises a sliding sleeve and an elastic piece, the sliding sleeve is in sliding connection with the moving channel, the elastic piece is arranged between the sliding sleeve and the opening position, and when external pressure is larger than internal pressure of the moving channel, the sliding sleeve moves to the opening position in the axial direction of the moving channel under the action of pressure and compresses the elastic piece, so that the control valve is opened; when the external pressure is smaller than the internal pressure of the moving channel, the elastic piece recovers deformation and drives the sliding sleeve to move to the closing position in the axial direction of the moving channel, and therefore the control valve is closed. The packer is provided with the control valve. Through the synergistic effect of the sliding sleeve and the elastic piece, the control valve can be opened and closed repeatedly, the operation efficiency is improved, and the use cost is reduced.

This invention discloses a power-led computer-computer collaborative control strategy method and system. First, a unified computer-computer coupling model is established, standardizing and quantifying the information attributes and energy consumption characteristics of computing tasks. Based on this model, through multi-timescale collaborative optimization, a control strategy is generated to guide the computing load through time-shifting and spatial migration, enabling it to proactively adapt to the grid operating state, achieving peak shaving and valley filling, promoting the consumption of new energy sources, and achieving rapid frequency response. The corresponding system adopts a three-layer collaborative architecture of "center-edge-local," including a central collaborative decision-making platform, regional computing power aggregation agents, and local resource control units, forming a closed-loop control from global optimization decision-making to precise local execution. This invention significantly improves the safety and economy of grid operation while ensuring the quality of computing power services, and provides an innovative technological path for the computing power industry to reduce energy costs and improve its green level.

This invention relates to the field of new energy data acquisition methods, specifically to a new energy data acquisition device and method for multiple application scenarios. The method includes: receiving acquisition intentions submitted by upper-layer applications; converting the acquisition intentions into data requirement tuples based on a pre-built resource dependency knowledge graph; when multiple acquisition intentions exist simultaneously, performing conflict detection on the data requirement tuples of each acquisition intention; taking the highest frequency and highest precision requirement of the same variable as basic acquisition parameters; obtaining the current available communication bandwidth, edge node computing power, and storage space resource status; downgrading and adjusting the acquisition parameters according to the priority of each acquisition intention; generating an acquisition strategy for each sensor or device; distributing the acquisition strategy to the edge acquisition gateway; and then performing data acquisition. This invention can dynamically adjust the acquisition strategy and rationally allocate resources according to the differentiated needs of multiple application scenarios when acquiring new energy data.

This invention relates to the field of automation control technology, and discloses a control method, equipment, medium, and program product for a water pump set. The method includes: acquiring the operating status of each water pump, and acquiring pressure parameter values ​​when the operating status meets preset stable state conditions; calculating the theoretical value of single-pump efficiency based on the pressure parameter values ​​and the operating status of each water pump using a water pump characteristic curve model; if the theoretical value of single-pump efficiency meets preset inefficient operating conditions, acquiring candidate pump set control schemes, and acquiring the corresponding theoretical value of single-pump efficiency using the water pump characteristic curve model; determining the target pump set control scheme based on the theoretical value of single-pump efficiency corresponding to each candidate pump set control scheme, and implementing control of the water pump set based on the target pump set control scheme. The solution in this embodiment can achieve efficient and accurate control of the water pump set, ensure that the water pump set operates under efficient conditions, and reduce energy consumption and operating costs.

This application provides a data processing method, apparatus, server, and storage medium. The method includes: receiving a term query request sent by a terminal device; the term query request includes a term to be queried, the term to be queried being a term corresponding to a target term control in target data displayed by the terminal device, the target data being obtained by replacing terms included in the data to be processed using the term control; invoking an artificial intelligence-based data query model to retrieve data corresponding to the term to be queried from a database; determining a query result based on the retrieved data corresponding to the term to be queried, and sending the query result to the terminal device so that the terminal device displays the query result in a designated display area. Using the method provided in this application, an artificial intelligence-based data query model can be used to query terms corresponding to term controls, effectively reducing word segmentation costs and operating costs.