54results about How to "Achieve coordination" patented technology

The invention discloses a central air conditioner energy-saving optimization system based on load prediction, and relates to the technical field of air conditioner energy saving.According to the central air conditioner energy-saving optimization system based on load prediction, a VMDTransformerGRU hybrid deep learning model is introduced, through multi-source data fusion, the precision of cold load prediction is remarkably improved, and the prediction model can recognize the load change trend in advance. According to the improvement, the dynamic response capacity of the system is effectively enhanced, pre-regulation and control can be carried out before load changes, energy waste is reduced, a water chilling unit, a cooling tower and a pump are modeled to be independent intelligent agents, multi-agent deep reinforcement learning (MADRL) is adopted, and all the intelligent agents can autonomously learn and optimize control strategies of the intelligent agents. The intelligent agents cooperate with one another, efficient operation of the whole system is achieved through autonomous decision, and operation conflicts between devices are avoided. In this way, dynamic coordination and joint optimization among all the devices are achieved, invalid energy consumption is reduced, and the overall energy-saving effect and operation stability of the system are remarkably improved.

The invention discloses a rock tunnel intelligent supporting system and method adaptive to geological conditions, and relates to the technical field of tunnel construction automation and intellectualization. The system comprises an intelligent advanced geological forecast module, an intelligent surrounding rock quality evaluation system, a self-adaptive support design optimization module, an intelligent construction equipment monitoring system, an environment monitoring module, a safety early warning system, a construction data analysis and decision support system, a material supply chain management module, a personnel positioning and management system and an integrated control system. Through real-time monitoring and analysis of the intelligent advanced geological forecast module and the safety early warning system, potential geological risks and safety threats in the tunnel construction process can be found in time. And through an adaptive support design optimization algorithm, support parameters and a construction scheme can be dynamically adjusted according to real-time geological data and a surrounding rock quality evaluation result. The integrated control system serves as the core of the whole intelligent supporting system, and unified management and coordination of all the sub-modules are achieved.

The invention relates to the technical field of dynamic migration, in particular to an edge computing management system supporting dynamic migration of an AI model. The system comprises a state mining module used for identifying available edge computing devices; performing multi-frequency information monitoring on the available edge computing devices, and performing device comprehensive state mining to generate edge device comprehensive state features; the edge topology module is used for carrying out node position positioning one by one based on edge equipment comprehensive state characteristics and carrying out instant state mapping modeling so as to construct an edge computing node topology model; the task flow trend module is used for acquiring an AI model task running log; and performing task queue analysis on the AI model task running log, and then performing model task traffic trend analysis to obtain AI model task traffic trend data. According to the invention, edge computing management with quick response and high processing efficiency is realized.

The invention relates to the technical field of unmanned aerial vehicle control, and provides a cluster unmanned aerial vehicle control method based on a cloud side-end architecture, which comprises the following steps of: determining a general task framework, a global edge node and a local edge node through a cloud platform, and dividing an operation area into a plurality of sub-areas; a general task framework is divided into sub-task modules corresponding to sub-regions through global edge nodes, and the sub-task modules are refined through local edge nodes to obtain a to-be-executed instruction, so that hierarchical cooperative control of a terminal unmanned aerial vehicle is realized, a single-point bottleneck of centralized control is broken through, and centralized processing of data is avoided; edge computing nodes are dynamically adjusted to prevent node abnormity from influencing task proceeding, then terminal unmanned aerial vehicles in a sub-region range are dynamically and locally scheduled to ensure coordination of task completion, and a terminal unmanned aerial vehicle cluster is dynamically and globally scheduled to realize macroscopic resource allocation of the terminal unmanned aerial vehicles; the terminal unmanned aerial vehicle collects and uploads task execution data, and a reliable data basis is provided for scheduling of the terminal unmanned aerial vehicle.

The invention relates to a mechanical arm dynamic obstacle avoidance method based on intelligent task supervision. The mechanical arm dynamic obstacle avoidance method comprises the following steps that S1, a position information set is collected; s2, basic behaviors and composite behaviors are constructed for null-space behavior control based on the state of the mechanical arm and the requirement of trajectory planning, and behavior priorities are set as action information; s3, a control obstacle function is set based on the safety distance requirement of the mechanical arm; s4, constructing a deep reinforcement learning training model; and S5, the position information set and the action information are input into a deep reinforcement learning training model, a corresponding reward is obtained according to a set reward function, and if the distance, obtained according to the information, between the tail end of the mechanical arm and the obstacle is smaller than the minimum safety distance, input of the mechanical arm is taken over by a control obstacle function. The flexibility and adaptability of the mechanical arm in the dynamic obstacle environment are effectively improved, and collision accidents are avoided.

The invention relates to a soybean milk machine and belongs to the field of soybean milk machine devices. A soybean milk machine comprises a shell assembly, a soybean milk machine body and a soybean milk machine body, the air duct assembly is arranged on the shell assembly and located in the mounting cavity; the heating pot assembly is arranged on the shell assembly and / or the air duct assembly, and the heating pot assembly is provided with a containing cavity; the motor assembly is arranged on the air duct assembly, and part of the motor assembly extends into the containing cavity; and the stirring knife assembly is arranged on the motor assembly. Through the design of the shell assembly, the sealing performance of the soybean milk machine is improved, and when a user cleans the soybean milk machine, water is prevented from invading the interior of the mounting cavity from the shell assembly. The air duct assembly, the heating pot assembly, the motor assembly and the stirring knife assembly are in close fit, all the assemblies are integrally assembled and then assembled with the shell assembly, and the production and assembly process is simplified.

The invention provides a multi-core processor event monitoring method and device, equipment, a storage medium and a product. Performance data collected by a PMU of each core are synchronously received through a PMU unified management interface; wherein the performance data comprises an event count and an event type corresponding to each performance event to be monitored; according to the event type of each to-be-monitored performance event, summarizing and analyzing performance data collected by the PMU of each core, and calculating the sum of event counts of each event type in different cores and the minimum event count value and the maximum event count value corresponding to each event type; and performing performance evaluation and system optimization on the multi-core processor system according to the sum of the event counts of each event type in different cores and the event count minimum value and the event count maximum value corresponding to each event type. According to the scheme, the accuracy and efficiency of performance analysis and optimization of the multi-core processor system are improved.

The invention provides an ocean engineering material high-flux corrosion test method and test system, the test system comprises a loading system and an environment system, the test method comprises the following steps: step S1: clamping a sample: step S2: selecting a test environment type; s3, setting target parameters; s4, parameters of the liquid medium and / or the gas medium are adjusted to meet requirements; s5, a liquid medium and / or a gas medium are / is input into the environment box, and adjustment is conducted according to current parameters of the liquid medium and / or the gas medium; after any one of the steps S1 to S5, the method comprises a step S6 of starting a loading system to apply a load to the sample. Through the arrangement of the high-flux corrosion test method, the corrosion environment of a global typical sea area can be simulated, meanwhile, constant stress loads, slow strain loads and alternating cyclic loads can be independently loaded on batched samples, automatic monitoring of the whole test process can be achieved, comprehensive coordination of factors such as different environments and loads is achieved, and the test efficiency is improved. And the corrosion fatigue test efficiency is improved.

The invention discloses a rural comprehensive energy network planning method and terminal for rural energy transformation, and the method comprises the steps: building mathematical models of energy supply equipment, energy conversion equipment and energy storage equipment based on a typical structure of a rural comprehensive energy network; in addition, a regulation and control load model considering agricultural production is constructed, a rural comprehensive energy network planning multi-objective function including dimensions of system economic benefits, environmental benefits, energy efficiency and the like is established, and constraint conditions of an energy network planning optimization model are set, so that the rural comprehensive energy network planning optimization model is formed. And carrying out iteration on the capacity of each type of equipment, obtaining the optimal capacity when iteration convergence is carried out, and substituting the optimal capacity into the rural comprehensive energy network planning optimization model to generate a planning scheme. And compared with isolated planning of a power grid and a heat supply network, organic coordination and multi-energy complementation among different energy sources are realized, and the utilization efficiency of rural energy sources is improved.

The control method comprises the steps that the rotating speed of a high-temperature-stage inverter compressor is mainly comprehensively determined by the high-temperature-stage exhaust temperature, the high-temperature-stage condenser temperature, the high-temperature-side outlet temperature of an intermediate heat exchanger and the high-temperature-stage return air temperature; through dynamic adjustment of the first fuzzy PID controller, the working condition and energy efficiency of the high-pressure side of the system are optimized; the rotating speed of the low-temperature-stage frequency conversion compressor is mainly comprehensively determined by the temperature in the box, the real-time rotating speed of the high-temperature-stage compressor, the low-temperature-stage exhaust temperature, the temperature of the intermediate heat exchanger and the low-temperature-stage return air temperature, and the rotating speed is dynamically adjusted through the second fuzzy PID controller so as to ensure that the temperature in the box is accurate and stable and is matched with the high-temperature-stage capacity in real time. Through cooperative control of the parameter groups, the problems of low efficiency and unstable operation caused by mismatching of two-stage capabilities of the cascade system are solved, and efficient, stable and reliable operation of the system under all working conditions is realized.

The application provides a kind of visual construction management method and system, belong to construction management field.Therein, the method includes: the standardization processing of the multi-source laminated data in construction display area is carried out, and the standardization data structure is constructed;The laminated feature vector of standardization data structure is extracted;According to laminated feature vector, the conflict field calculation of any two laminated in construction display area is carried out, and the laminated conflict intensity distribution diagram is generated;The conflict field feature of laminated conflict intensity distribution diagram is extracted, and the conflict clustering output multiclass conflict level area is carried out;The differential fusion strategy analysis of multiclass conflict level area is carried out, and the multiclass visual fusion expression is obtained, according to multiclass visual fusion expression, visual output management is carried out in construction display area.The application carries out laminated conflict quantitative analysis and differential adaptive fusion, so that multi-source laminated data is clearly and accurately expressed in the same construction display area, and information conflict and expression distortion are eliminated.

The application discloses a kind of gas distribution device intelligent start-up method and system, belong to industrial process automation control technical field.The method includes: obtaining production demand and generating preset control data;Obtain the current operating parameters of gas distribution device, and execute abnormal detection analysis with preset monitoring threshold, if potential risk is identified, intervention suggestion is generated and process control parameters are dynamically corrected;According to the corrected process control parameters and the preset process control parameters, corresponding rules in the start-up expert knowledge base are combined, propane column start-up instruction is generated and propane column is controlled to carry out material output;When it is monitored that the output material of propane column is qualified, ethane column and propylene column start-up instruction is generated, and ethane column and propylene column are controlled to carry out material output according to the start-up instruction of ethane column and propylene column.The application not only improves the stability and safety of initial start-up, improves the scientificity and accuracy of control strategy, improves the overall linkage efficiency of device;And reduce human intervention.

The application provides a two-stage MPC control method and system for power smoothing output, and relates to the field of new energy control. A discrete state space prediction model is constructed; all state variables are obtained in the current sampling period and used as the input of the first-stage MPC control; the mechanical and electrical state prediction sequence and the optimal control input are obtained by combining the constraint condition and the dynamic optimization objective function of the second-stage MPC control feedback in the last sampling period; in the second-stage MPC control, the optimal power trajectory meeting the smoothing requirement is obtained by combining the smoothing optimization objective function, and is mapped to the control constraint interval of the next sampling period and fed back to the first-stage MPC control; the optimal control input is applied to the execution equipment, and after the constraint condition is fed back to the first-stage MPC control, the next sampling period is entered. The application can inhibit the rapid fluctuation of the generated power without energy storage devices, improve the grid connection quality, and enable the renewable energy power generation system to still stably output under the severe changes of the external environment.

The present application relates to the technical field of battery cooling, and discloses an adaptive dual-mode immersed liquid cooling system based on acoustic-heat flow collaborative sensing. The system comprises an acoustic sensor, a temperature sensor, a fuzzy controller, a multi-channel controller, a pump, a cooling coil, a radiator and a water tank. The system can perform single phase change cooling operation in a low rate mode and flow phase change collaborative cooling operation in a high rate mode, and mode switching decisions are made based on frequency domain changes of acoustic characteristics and calculated values of heat flow density. The acoustic sensor collects boiling acoustic wave signals of the cooling liquid, the temperature sensor monitors the battery temperature gradient, the fuzzy controller generates control instructions based on the above signals, and the multi-channel controller controls the pump power, the cooling coil flow and the radiator power. Through collaborative sensing and dual-mode adaptive adjustment, the system improves the cooling efficiency and response speed, adapts to different battery load states, and ensures the safe and stable operation of the battery.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

The utility model discloses a kind of active infrared detection devices of wind power blade, the device includes inspection robot, six degrees of freedom mechanical arm, detection executor module;Detection executor module includes pedestal, laser heater, infrared thermal imager, laser range finder, laser heater is fixed in the middle of pedestal, irradiation direction is vertically downward, infrared thermal imager is located laser heater left side, infrared thermal imager is fixed in the bottom of pedestal by support inclination, laser range finder is located laser heater right side, laser range finder is vertically downward setting.The utility model carries out wind power blade defect detection using active infrared thermal imaging technology, heating is carried out to wind power blade by laser heater, the temperature distribution of blade surface is detected using infrared thermal imager, to find the defect possibly existing in blade interior.

A method and system for collecting pedestrian motion data based on hybrid rendering renders a pre-set traffic scene from a virtual engine onto a virtual reality headset. Subjects then perform a series of human-vehicle interaction behaviors and reactions based on the images displayed on the headset. Motion capture devices record these behaviors and reactions while simultaneously driving a virtual character within the rendering engine, completing a series of data acquisition processes within the rendering engine. This invention fully combines the convenience of scene creation, data acquisition, coordinate system calibration, and time synchronization of a rendering engine simulator with the richness and realism of human movement and reactions in the real world. It captures and redirects the reactions and movements of real pedestrians based on the virtual scene in the rendering engine to a virtual character within the rendering engine, and then collects and records multi-view, multi-modal data within the rendering engine.

The application belongs to the field of agricultural biotechnology, and particularly relates to a gene mutant with high potassium absorption and utilization efficiency and application thereof. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. GhAKT1bD The gene mutant A is obtained by deleting the 111th-114th bases of the wild-type gene, and the gene mutant B is obtained by deleting the 112th-114th bases of the wild-type gene. The transgenic plant provided by the application has excellent low-potassium stress resistance compared with the wild-type plant. In addition, the transgenic plant provided by the embodiments of the application has growth advantages, higher stem potassium content and root potassium content compared with the wild-type plant under the conditions of sufficient potassium supply (2.5 mM) or severe potassium deficiency (0.03 mM).

The invention relates to the technical field of Internet of Things, and provides a system dormancy control method, device and equipment, a medium and a program product, the method comprises the following steps: processing a to-be-released resource based on an occupation condition of a target resource in response to a service dormancy instruction; and according to the running state of the current service, determining the wake-up time of the current wake-up source, and ending the running process of the current service. According to the invention, on the system level, unified coordination and management of the operation state of each service operated in the low-power-consumption mode are realized, so that the operation stability of the Internet of Things equipment in the low-power-consumption mode is effectively improved.

The invention provides a dynamic monitoring method based on SD-WAN resources, a computer program product, electronic equipment and a storage medium, and the method comprises the steps: obtaining lightweight data from a client of SD-WAN service; preprocessing the lightweight data to obtain normalized data; performing time sequence analysis on the historical data to obtain statistical characteristics; and performing dynamic threshold comparison on the standardized data according to the statistical characteristics, and dynamically monitoring the resources of the client according to a comparison result and formulating a corresponding strategy. By implementing the method and the system, efficient, accurate and intelligent monitoring and early warning of customer resources and active health management and control of enterprise network operation and maintenance can be realized, the real-time performance is higher, the resource consumption is lower, and the efficiency and the reliability of SD-WAN resource management and control are remarkably improved.

The invention discloses a heating station operation management method and system based on multi-energy complementation, and relates to the technical field of energy management, and the method comprises the steps: collecting air temperature data, user heat demand data and heating station operation data, carrying out the standardization processing, and obtaining an air temperature data time sequence, a user heat demand data time sequence and a heating station operation data time sequence; based on the time sequence of the user heat demand data and the heating station operation data, the deviation ratio of heating of the heating station and the user heat demand is calculated, a load time period set is obtained, and when the distribution condition of a preset type of load scheduling time period does not meet the requirement, the next step is executed; dividing the time periods in the load time period set into complementary demand time periods and adjusting demand time periods according to the deviation degree of heat supply of the heating station and the heat demand of the user. According to the method, the multi-energy complementary strategy is optimized by using the SSA-LSSVM intelligent optimization model, so that the multi-energy cooperative operation efficiency of the heating station is improved, and the adaptability of a heat supply system to climate change and load fluctuation is enhanced.

The utility model discloses a pet water dispenser, including host computer, be used for external water purifying water purifying tank, be used for sewage disposal sewage tank, drinking water tray, drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism, the drinking water tray sets up in the sewage tank top, the drinking water tray with drive mechanism connects, drive mechanism is used for driving drinking water tray rotates along horizontal axis, to pour the water in drinking water tray into sewage tank, circulating water supply mechanism is used for the water purifying tank in with drinking water tray is delivered, filter mechanism installs in sewage tank is used for filtering the sewage that drinking water tray pours out, the cleaning mechanism is used for removing the dirt on the surface of drinking water tray, the host computer is equipped with with drive mechanism, circulating water supply mechanism, filter mechanism and cleaning mechanism electric connection's controller. The problem such as need artificial adding water source, water source is not clean etc. that traditional pet water dispenser exists has been solved.

The invention relates to a battery-replaceable multi-battery pack parallel system, which comprises a battery pack system, and the battery pack system at least comprises two groups of battery pack modules. The battery pack modules are connected in parallel; the battery pack module comprises an energy storage battery pack, a contactor, an anti-reverse diode, an output port, an output detection point, a change-over switch and a battery management controller BMS; one end of the energy storage battery pack is connected with the contactor and the anti-reverse diode through a circuit, and the other end is connected with the output port; the anti-reverse diode is connected in parallel with the contactor; the other end of the contactor is connected with the output port; the battery management controller BMS is connected with the change-over switch and executes battery pack discharge switching; and the battery management controller BMS is connected with the output port through the output detection point. According to the invention, the flexible control of independent discharge or parallel simultaneous discharge of each battery pack is realized, and the technical effects of safely switching the discharge mode of the battery pack and conveniently replacing the battery pack during independent power supply are achieved.

The application discloses a Tibetan prosody structure prediction method based on syntax information, relates to the technical field of speech synthesis, and is applied to the prosody structure prediction field in Tibetan speech synthesis. The Tibetan prosody structure prediction method based on syntax information comprises the following steps: S1, Tibetan text analysis and virtual word connection quantization are completed, syntax probability, hierarchical focus and pause difference are extracted, and a Tibetan prosody prediction database is stored and constructed after preprocessing; S2, boundary discrimination is performed based on virtual word connection relationship strength, influence range hit marking and word sequence distance; S3, entropy feature analysis is performed through syntax role probability data and boundary determination data; S4, three-layer prosody boundary type sequences are generated according to boundary assignment, and over-dense pauses are inhibited; and S5, rhythm intensity evaluation is performed through pause duration difference and syntax information entropy data. The problems of pause confusion and increased understanding burden caused by the misplacement of prosody and semantic hierarchy in Tibetan long speech synthesis are solved.

The invention discloses a distributed DTU-based power distribution network slow-action fault response and collaborative reconstruction system, and relates to the technical field of power distribution systems. Abnormal event data of a power distribution network are automatically grabbed, timeline consistency analysis is carried out in combination with a topological structure of the power distribution network, then a time overlapping region of a slow-action response window of each DTU is judged, and a preliminary DTU set is formed; performing automatic identification, hierarchical monitoring and dynamic slow window adjustment on the time domain linkage relationship between the DTUs in the set; and then, performing dynamic correction on a slow motion window of a communication branch corresponding to each DTU set in the high-risk time coupling group, implementing neighborhood consistency verification and synchronous confirmation before execution of a slow motion fault response action, and ensuring coordinated triggering and execution of the action in the slow motion window through delay execution and idempotent control. DTU action conflicts in a high-risk time coupling group can be effectively avoided, time peak shifting and rhythm coordination of response actions are achieved, and the safety and reliability of power distribution network fault response are improved.

The invention relates to the technical field of gas explosion risk assessment, in particular to a gas explosion risk assessment method based on combined weighting. The method comprises the following steps: constructing a gas explosion risk evaluation index system; respectively calculating the subjective weight and objective weight of each index, constructing a multi-objective optimization function with the minimum subjective and objective deviation and the minimum marginal contribution difference as targets, and solving the combined weight of each index by using a particle swarm optimization algorithm and a game theory method; dividing risk grades, and constructing a standard cloud model of the gas explosion risk; constructing a comprehensive cloud model of the gas explosion risk; and taking the risk level corresponding to the standard cloud closest to the comprehensive cloud model as the gas explosion risk level of the coal mine to be evaluated. According to the gas explosion risk assessment method based on combined weighting, the risk level of the coal mine to be assessed can be accurately determined, and the accuracy of the assessment result is improved.

The utility model relates to the field of home lighting, especially a floor lamp, the floor lamp includes support subassembly, sets up locking piece on support subassembly and sets up the lamp on locking piece, support subassembly includes through setting attached inner and outer thread structure at the junction, the base, first support rod, second support rod and third support rod connected in proper order, locking piece is configured at the junction of third support rod and lamp bottom and is detachably fixed, and the integrated layout of locking piece, inner and outer thread structure and electric wire hides in the inside of support rod, makes the overall appearance present smooth cylindrical form, the utility model solves the problem that the floor lamp structure is complex, inconvenient to disassemble and assemble, and the appearance is not beautiful in the prior art, realizes convenient disassembly and assembly, saves packaging transportation space, improves maintenance efficiency and the convenience of part replacement, and simultaneously realizes simple and smooth and beautiful texture of lamp whole modeling.

The invention relates to the technical field of energy storage air conditioners, and discloses an intelligent temperature control new energy energy storage air conditioner heat exchange system which comprises a photovoltaic power generation module and an energy storage system which are connected with the heat exchange system, and the heat exchange system is composed of a heat exchange module, an intelligent energy management module, a demand prediction module and an analysis module. The intelligent energy management module monitors the operation states of the whole system in real time, including the photovoltaic power generation condition, the state of the energy storage system and the energy output of the heat exchange module, and ensures that parameters of the system are dynamically adjusted in the operation process so as to match energy requirements and power generation conditions at different times, so that coordination among the systems is realized, and the energy efficiency is improved. And the demand prediction module analyzes historical power utilization data, weather forecast and seasonal changes, and can predict future energy demands, so that the system can make preparations in advance, and the beneficial effect of monitoring the coordination between the energy storage air conditioner heat exchange system and the energy storage system in real time is achieved.

An automatic two-component glue injection machine is characterized in that sliding grooves are formed in the left end and the right end of a machine base, supporting frames are arranged at the left end and the right end of the machine base, protrusions matched with the sliding grooves in the left end and the right end of the machine base are arranged at the bottoms of the supporting frames, a cross beam is connected to the middle of the supporting frames at the left end and the right end, and an upper sliding rail and a lower sliding rail are arranged on the cross beam; the glue injection mechanism is connected with a sliding rail on the cross beam through a hanging piece on the back of the glue box, the glue injection nozzle is arranged in the middle of the bottom of the glue box, glue barrels are further arranged on the left side and the right side of the upper portion in the glue box, the capacity of the glue barrels on the left side and the capacity of the glue barrels on the right side are consistent, and baffles are arranged at the bottoms of the glue barrels and can be opened and closed through an external controller. When the intelligent control and sensor coordination control system is used, the dispensing machine can be accurately controlled, accurate dispensing operation can be achieved according to the specific shape and requirement of the surface of a bulb, and automatic operation and coordination of a whole assembly line can be achieved by combining a controller and a sensor.