465 results about "Process operation" patented technology

The invention relates to the technical field of copper wire manufacturing control, in particular to a copper wire multi-pass rolling and annealing cooperative control method and system based on an intelligent network, and the method comprises the steps: setting a process control node according to an industrial control process, building a cooperative communication network based on the process control node, and collecting a multi-mode industrial control signal; setting a data transmission processing protocol, establishing an industrial control sensing platform, integrating multi-mode industrial control signals, and converting the multi-mode industrial control signals according to process positions to generate process operation parameters; analyzing non-linear correlation between process steps, and calculating process adjustment parameters by combining the copper wire performance indexes; according to the data transmission processing protocol, the process operation parameters are transmitted to a cooperative control center and compared with the process adjustment parameters for analysis, and a parameter cooperative control instruction is generated; and the parameter cooperative control instruction is fed back to the rolling control node and the annealing temperature control node based on the cooperative communication network for parameter correction. According to the invention, the problems of low process synergy efficiency and insufficient signal processing capability in copper wire manufacturing are effectively solved.

The invention relates to the technical field of assembly line scheduling, in particular to an intelligent scheduling method and system for an automatic assembly line of a charging pile. The method comprises the following steps: acquiring a charging pile assembly production log; performing sliding window segmentation processing on the charging pile assembly production log, and performing staged assembly demand feature analysis to obtain assembly demand feature data of different stages; the real-time production progress of each assembly line is extracted based on the charging pile assembly production log; demand supply deviation prediction is carried out on the real-time production progress of each assembly line according to the assembly demand characteristic data of different stages, and assembly lines lack of productivity are marked; an all-dimensional real-time monitoring image of the assembly line is collected; and carrying out dynamic behavior analysis on the omnibearing real-time monitoring image of the assembly line, carrying out process operation logic analysis, and generating multi-stage process operation logic. According to the invention, high-efficiency and self-adaptive intelligent scheduling of the assembly line is realized.

The invention relates to a safety production equipment risk monitoring method and system, and belongs to the technical field of risk monitoring, and the method comprises the steps: obtaining historical operation data and real-time operation data of to-be-monitored safety production equipment; setting a dynamic threshold according to the historical operation data, predicting the range of the dynamic threshold according to preset target process operation data and the historical operation data through a bidirectional long-short-term memory network, and updating the range of the dynamic threshold in combination with the real-time operation data to obtain an updated dynamic threshold; the comprehensive risk index is calculated according to the updated dynamic threshold value and the real-time operation data through the analytic hierarchy process, the risk of the safety production equipment to be monitored is evaluated according to the comprehensive risk index, an evaluation result is obtained, dynamic monitoring and evaluation of the risk of the safety production equipment are achieved, and the safety production equipment risk evaluation efficiency is improved. The actual operation state of the equipment can be reflected more accurately, potential risks can be found in time, corresponding measures can be taken, and the operation safety and reliability of the equipment are improved.

The invention provides an energy-saving, carbon-reducing and synergistic technical path optimization method for a steel production system. The method comprises the following steps: establishing a steel production process mechanism and data driving hybrid model; accounting heat, energy, # imgabs0 # quantity and pollutants on the basis of a steel production process mechanism and a data driving hybrid model, and performing process connection to form a steel production system simulation model; on the basis of the steel production system simulation model, a value flow analysis model is embedded, and steel production system value flow accounting is carried out; on the basis of the steel production system simulation model, embedding low-carbon, zero-carbon and negative-carbon technologies in a substance or energy connection mode, and establishing a steel production system coupling carbon reduction technology simulation model; setting an optimization target of the coupling carbon reduction technology simulation model of the steel production system; and optimizing the material energy input parameter variable, the process operation parameter variable and the technical application parameter variable by adopting a U-NSGA-III method to obtain a technical optimization path of the steel production system.

The invention provides an AI-driven industrial decarburization process control method and system based on feedback regulation, and relates to the technical field of industrial control, and the method comprises the steps: executing industrial decarburization process monitoring, and obtaining a process operation data stream sequence; performing process working condition time sequence iterative analysis; matching is carried out in a pre-constructed causal knowledge base; traversing the associated causal clue set to perform historical data backtracking exception investigation to obtain an exceptional associated causal clue set and an exception degree set; and performing feedback control scheme identification to obtain a target feedback control scheme, generating a feedback adjustment instruction, and issuing the feedback adjustment instruction to the control execution module to execute the target feedback control scheme. According to the method and the device, the technical problem that in the prior art, due to the fact that static model prediction or empirical rule-based judgment is mainly adopted, real-time tracing and dynamic intervention of process-level carbon emission abnormity are difficult to achieve, and the carbon emission control effect in a complex environment is not ideal is solved, and the control effect of the industrial decarburization process is improved.

The invention discloses a flexible workshop production resource scheduling method based on multi-strategy deep reinforcement learning, and relates to the field of intelligent manufacturing, the method constructs three strategy networks and three value networks of work, machines and AGVs, and at each scheduling moment, the work selection strategy network selects a scheduling rule according to a work state and maps the scheduling rule to a specific operation; the AGV selection strategy network selects a scheduling rule according to the AGV state and maps the scheduling rule to a # imgabs0 # table AGV # imgabs1 # of transportation operation; a machine selection strategy network is mapped to a # imgabs2 machine # imgabs3 # of processing operation according to a machine state, it is determined that the operation is transported from an AGV # imgabs4 # to a machine # imgabs5 # for processing through multi-strategy cooperation, the starting time and the ending time of the operation are calculated, states, actions and rewards are stored in corresponding experience pools, and a value network samples data from the experience pools, calculates losses and updates network parameters. And after the experience pool is emptied, entering a next round of iteration. The method can dynamically respond to production demand changes, and optimize resource allocation and scheduling decisions in real time.

The invention discloses a production line vehicle tracking method and system, and belongs to the technical field of automobile assembly, and the method comprises the steps: carrying out the detection and recognition of a vehicle entering a set area of the head of a production line body, and obtaining the vehicle information; when the vehicle enters a set position point, storing the vehicle information into vehicle queue information; the moving distance of the vehicle is obtained, and the distance information between the vehicle and the set position point is updated in real time; and querying the information of the vehicle entering the current station in the vehicle queue information according to the information of the distance between the vehicle and the set position point and the post configuration information of the corresponding station, and automatically triggering the corresponding process operation. According to the invention, accurate tracking, queue tracking and post mistake proofing of various vehicle positions of a final assembly production line can be satisfied, an effective means is provided for binding of related parameters in a vehicle production process, and powerful data support is provided for later product quality problem analysis and product quality improvement.

The invention discloses a lace fabric production traceability management system and method, and belongs to the technical field of production traceability management, and the method specifically comprises the steps: receiving a lace fabric production order comprising a material description, a pattern code and a production batch identifier; historical production data are retrieved according to the pattern codes, production process records of the same pattern codes are obtained, an initial tracing path for defining a production node equipment access sequence and data acquisition points is generated based on the historical data, and real-time production events such as a raw material input event, a processing operation event and an equipment state change event are monitored; and dynamically adjusting the initial tracing path to skip non-key production node equipment or merge data acquisition points to form an optimized tracing path, and finally collecting production data according to the optimized path and integrating to generate a tracing report containing production flow integrity and abnormal point identification, thereby realizing dynamic optimization and accurate tracing of the lace fabric production process.

The invention discloses an industrial silicon smelting process prediction method and system based on data analysis, and relates to the technical field of industrial silicon smelting management and control. The physical structure of the smelting furnace is analyzed, thermocouple nodes are positioned in the virtual three-dimensional model to serve as temperature mapping points, and a spatial topological relation is established; historical smelting data are collected, temperature monitoring parameters and process operation parameters are aligned according to time nodes, and a time-space associated smelting parameter set is constructed; generating a three-dimensional temperature performance state based on the temperature mapping point data, and classifying the temperature performance state through temperature change curve fitting and heat conduction correlation analysis; the current process parameters are matched with the reference historical process operation parameter sequence library in real time, and a three-dimensional temperature field prediction result corresponding to the optimal historical parameter group is output; according to the method, the problems of low efficiency and large error of traditional manual analysis are effectively solved, and reliable technical support is provided for intelligent control of industrial silicon smelting.

A digital process twin system and method for operating a process plant with at least one automation component to control an industrial process within the process plant with at least one input ingredient and at least one output product, wherein a non-real-time simulation model of the industrial process is used to generated quality attributes as a function of process variables and process parameters, the generated quality attributes and related process variables are used as an input for a machine learning model serving as a soft sensor to estimate quality attributes of the output product as a function of measured or simulated process variables of the industrial process, and the performance of the process plant is optimized based on the estimated quality attributes of the output product, whereby the method and system allow process operations and control that are faster, more efficient, and more reliable.

The invention provides a converter steelmaking process optimization analysis method and a computer readable storage medium, and the method comprises the steps: S1, building a converter steelmaking process optimization analysis system, and recording converter steelmaking data; s2, selecting a converter steelmaking endpoint control target, and analyzing the influence of each process operation parameter on the endpoint control target parameter in the smelting process; s3, process operation parameters are determined, and converter steelmaking is conducted; and S4, converter steelmaking is evaluated. The converter steelmaking process can be optimized.

The invention discloses a triisopropyl silane automatic rectification system and a control method thereof, and particularly relates to the technical field of triisopropyl silane extraction, the system comprises a crude product storage tank, a rectification kettle, a rectification tower, a condensation unit, a reflux ratio regulator, a front fraction receiving tank, a solvent receiving tank, a transition fraction tank, a product receiving tank and a vacuum unit; the method comprises the following steps: (1) feeding; (2) receiving a front fraction; (3) solvent receiving; (4) receiving a transition fraction; and (5) receiving the product. The triisopropyl silane automatic rectification system and the control method thereof provided by the invention have the beneficial effects that one-key start of the system is realized, the on-site operation state does not need to be operated by personnel, the triisopropyl silane rectification frequency operated by personnel is reduced, and the production cost is reduced; the process operation automation is realized, the continuous and stable execution can be realized, and the qualified triisopropyl silane product is produced.

The invention belongs to the technical field of numerical control lathes, and discloses a numerical control lathe which comprises a lathe body, a gear box and a chuck assembly, the gear box is installed at the left end of the lathe body and used for controlling a spindle to rotate and providing energy for work of other parts, and the chuck assembly is installed on the outer side of the output end of the gear box. The chuck assembly comprises a main chuck fixedly connected with the output end of the lathe bed, the inner side surface of the main chuck is slidably connected with a clamping jaw, a bevel gear ring is arranged in the main chuck, the inner side surface of the main chuck is connected with a limiting chassis in a clamped mode, and the inner outer side surface of the limiting chassis is rotationally connected with the inner side surface of the bevel gear ring. The inner side surface of the main chuck is rotationally connected with an adjusting threaded column, the outer side surface of the adjusting threaded column is in threaded connection with the inner side surface of the clamping jaw, and the problems that a machined part is loosened in clamping and inconvenient to operate in the feeding and discharging process are solved.

The present invention discloses a rotary valve, which includes: a valve body, which is a cylindrical structure, and is provided with three flow channel groups; and a valve sleeve, whose coaxial sealing sleeve is provided on the valve body, and the valve sleeve is evenly provided with multiple through holes, the inner end of each through hole extends to form a vertical groove, and the vertical groove is divided into three sections along the vertical direction, corresponding to the ports of different flow channel groups respectively. A switching valve is provided at the through hole, and the switching valve connects the through hole to the two sections of the vertical groove, thereby switching the corresponding two flow channel groups to a working state. The valve body rotates around the axis relative to the valve sleeve so that the multiple through holes are combined and connected with the ports of the two flow channel groups in the working state, thereby changing the process operation mode. Each through hole is connected to at most one port of the valve body. The present invention also discloses a pressure swing adsorption device. The rotary valve of the present invention can switch the working state of the flow channel group, realize online switching of the timing process, meet the demand for improvement of process conditions due to fluctuations in on-site raw materials, and enhance production flexibility.

The invention relates to the technical field of high-power femtosecond laser manufacturing, and discloses a high-power industrial femtosecond laser water cooling structure and a manufacturing method thereof. Comprising the steps that any one of a variable cross-section spiral flow channel, a bionic fin flow channel or a micro-channel array is directly machined in a machine shell water-cooling plate through the five-axis linkage precision machining technology or the micro-nano machining technology, or the printer shell water-cooling plate is integrated through the metal additive manufacturing technology; a reflector base, a heat dissipation chute and a cooling water channel are integrated in the machining process of the water cooling plate of the machine shell; carrying out material and surface treatment process operation; assembling process operation is carried out, a reflecting mirror base is matched with a mortise and tenon joint structure and a machine shell water-cooling plate through high-precision positioning pins, the reflecting mirror base and the machine shell water-cooling plate are rigidly connected in a vacuum brazing or laser welding mode, and a light guide side plate and a runner cover plate are designed into standard modules; the light guide side plate and the runner cover plate are quickly assembled through magnetic attraction positioning and spring buckles.

According to the packaging structure and the forming method thereof provided by the invention, the top of the internal rewiring layer of the bridging chip is not provided with a conductive column, so that the overall thickness of the bridging chip is reduced, the coating thickness of the bridging chip during plastic packaging is further reduced, the thickness of a wiring insertion layer formed by the first plastic packaging layer and the bridging chip assembly is reduced, and the reliability of the packaging structure is improved. And the influence of warping on process operation is avoided. Moreover, according to the forming method, the adhesion layer is arranged on the top surface of the internal rewiring layer of the bridge chip, and the bridge chip is inversely arranged on the top surface of the first carrier plate, so that the embedding of the ultrathin bridge chip is facilitated. The bridging chip is directly connected with the chip packaging assembly through fan-out of the internal rewiring layer, the internal rewiring layer does not need to be connected with the chip packaging assembly through a conductive column, on one hand, the interconnection density is improved, the product application requirement of high-frequency and high-speed signals is better met, on the other hand, the height of other components is reduced, and the cost is reduced. And the distance between other components and the key size can be shortened, so that higher connection density is formed, and miniaturization of products is facilitated.

The invention discloses an intelligent monitoring method and device for the operation process of a reaction kettle based on visual analysis. The method comprises the following steps: acquiring a video sequence in a reaction kettle in a current period collected by a 5G explosion-proof camera deployed in the reaction kettle according to a preset period, so as to obtain a video sequence in the kettle to be analyzed; inputting the video sequence in the kettle to be analyzed into the chemical product visual analysis model for fuzzy video processing, and extracting product visual information of the current period to obtain the product visual information; determining whether the time distribution condition of the process operation nodes in the current period is consistent with the time distribution condition in preset process operation node information or not to obtain an analysis result; and if not, corresponding operation process prompt information is created and sent to the client. By implementing the method, the accurate control of the production process and the product quality stability can be effectively improved, and the method is particularly suitable for the production requirements of high-end chemical products.

In one aspect of the present disclosure, a method includes obtaining, by a processing device, input data indicative of a first set of process parameters. The method further includes providing the input data to a first process model. The method further includes obtaining, from the first process model, first predictive output indicative of performance of a first process operation in accordance with the first set of process parameters. The method further includes providing the first predictive output to a second process model. The method further includes obtaining, from the second process model, second predictive output indicative of performance of a second process operation, different than the first process operation or a repetition of the first process operation, in accordance with the first set of process parameters. The method further includes performing a corrective action in view of the second predictive output.

The invention discloses a wire drawing machine auxiliary fault judgment method and system based on digital twinning, and relates to the technical field of wire drawing machine equipment maintaining.The method comprises the steps that firstly, actual mechanical, electrical and process related data of all wire drawing machines are collected, preprocessed and then input into a digital twinning model, and simulation data are obtained; based on actual and simulation data, mechanical, electrical and process related data are analyzed, whether the corresponding operation state of each wire drawing machine is normal or not is judged, and if the mechanical, electrical or process operation of a certain wire drawing machine is abnormal, the safety coefficient in the abnormal state is compared with a database preset value, and a fault source is positioned. The digital twinning technology is combined with safety coefficient analysis, efficient and accurate judgment and positioning of faults of the wire drawing machine are achieved, and the operation reliability and production efficiency of the wire drawing machine are improved.

The invention relates to the technical field of production scheduling optimization, in particular to an intelligent load adjusting method based on an intelligent aerial view mobile terminal, and the method comprises the following steps: S1, building a flow database of production processes of different types of to-be-processed products; s2, establishing a production process splitting module, wherein the production process splitting module is used for extracting the product production process in the process database established in the previous step and transmitting the product production process to the intelligent aerial view mobile terminal; and S3, creating a plurality of production orders by the intelligent aerial view mobile terminal according to different types of processed products. According to the process compatibility and the load of the production line, the manufacturing process of the product to be processed and the dependency relationship between the processes can be deeply understood, the production task can be better planned and scheduled, the reasonable combination of the process operations from different orders on different production lines is realized, and the production efficiency is improved. And production tasks are reasonably distributed and arranged according to factors such as running time, resource requirements and equipment availability of each working procedure, so that the production efficiency is improved to the greatest extent.

The invention discloses a full-automatic machining device based on pipeline support manufacturing, and relates to the technical field of metal machining, the full-automatic machining device comprises a base, a plurality of supporting strips mounted at the top of the base and a laser cutting machine mounted at the top of the base, and further comprises a material guiding mechanism and a material conveying mechanism, the cover body is arranged at the top of the base, the vacuum fixing assembly is installed in the cover body, and the displacement assembly is used for driving the cover body to move. The composite treatment mechanism comprises two sliding blocks arranged in the cover body, cleaning rollers installed on the outer walls of the opposite sides of the two sliding blocks correspondingly, polishing rollers installed at the bottoms of the sliding blocks and a linkage assembly used for driving the two sliding blocks to move; after the strip-shaped support is cut through laser, the strip-shaped support is transferred away, the strip-shaped support is sequentially subjected to light absorbent cleaning, notch polishing and cooling treatment, and the problem that in the prior art, follow-up treatment operation on the strip-shaped support is complex is solved.

The invention relates to the technical field of adhesive dispensing devices, and discloses a product pipe inserting and adhesive dispensing device which comprises a workbench, a rotary disc mechanism, a product positioning mechanism, a hole expanding mechanism, a pipe inserting mechanism, an adhesive dispensing mechanism A, an adhesive dispensing mechanism B, a UV curing mechanism, a discharging mechanism, a feeding mechanism and a product maintaining mechanism. According to the structure, through cooperation of all the mechanisms, the integrated process operation of products from feeding to chambering, pipe inserting, glue dispensing, curing and discharging is achieved, the form of mechanical equipment flow operation is achieved, the glue outlet amount, the glue dispensing position, chambering, pipe inserting and the like can be standardized, and the consistency of pipe inserting and glue dispensing and the stability of the quality of produced products are guaranteed; due to the arrangement of the multiple product positioning mechanisms and the multiple machining mechanisms, simultaneous machining work of multiple products in different processes can be achieved under driving of the rotary disc mechanism, the machining efficiency is effectively improved, and the increased production requirement is met; and the turntable realizes the conversion of the processing flow, the process is simple and convenient, and the operation space is effectively saved.

The invention provides an arc-shaped beam bending device for steel structure machining, and belongs to the technical field of machining. According to the structure, a pressing roller is connected to a sliding block, a plurality of electric cylinders are arranged on a base table, the free ends of the electric cylinders are connected with pushing rollers, a plurality of first motors are arranged on the base table, guide wheels are connected to main shafts of the first motors, a base is fixedly connected to the side of the base table, and a sliding way and a rack are fixedly connected to the base; the rack is parallel to the sliding way, a sliding table is arranged on the sliding way, a gear is arranged on the sliding table, the gear and the rack are in matched transmission, a second motor is fixedly arranged on the sliding table, and the second motor is in transmission connection with the gear. Bending machining is carried out on the conveying channel of the steel beam through the push rollers and the guide wheels, and the steel beam bending machine is suitable for high-hardness and large-curvature machining scenes and has the high yield. Meanwhile, the cutting mechanism and the welding mechanism are additionally arranged, multi-procedure operation can be continuously completed, and the overall process efficiency is improved.

The invention relates to the technical field of high-temperature industrial equipment manufacturing, and discloses a carbon black reaction furnace based on temperature control and an optimized production preparation process, the carbon black reaction furnace comprises the steps of raw material pretreatment, multi-temperature zone cracking reaction, quenching termination reaction, carbon black collection and tail gas cyclic utilization, and by designing a multi-temperature zone cooperative temperature control mechanism and combining a dynamic temperature compensation technology, the carbon black reaction furnace is optimized. The uniformity and the stability of thermal field distribution in the reaction furnace are improved, the problem of non-uniform reaction caused by temperature gradient of a traditional device is solved, the nucleation and growth process of the carbon black is carried out in a highly controllable thermal environment, and a guarantee is provided for obtaining products with highly uniform particle sizes; on-line monitoring and closed-loop feedback control are constructed, real-time sensing and intelligent regulation and control of key process parameters are achieved, fluctuation in the production process is inhibited in time, it is guaranteed that reaction conditions are always in the optimal interval, and therefore the consistency of product quality and the reliability of process operation are improved.

The invention provides an intelligent control method and system for steel pipe galvanizing process equipment, and relates to the technical field of production intelligent control. The method comprises the steps of collecting a process operation original data set of galvanized steel pipe production and constructing a plurality of process order groups, generating a plurality of order state sequences and identifying a plurality of order fragments of each order state sequence, and constructing a qualified sample set and a risk sample set, extracting a plurality of statistical features respectively corresponding to each order fragment in the qualified sample set and the risk sample set, performing order type division on the plurality of order fragments, constructing a risk order set and a stable order set corresponding to the plurality of order fragments, traversing the qualified sample set and the risk sample set, and obtaining a stable order set; a plurality of candidate recovery paths of each order state sequence are constructed and fused to generate a plurality of process optimization motif libraries, and control optimization of the steel pipe galvanizing process equipment is achieved based on the process optimization motif libraries. The intelligent control level of the steel pipe galvanized product production process is improved.

A method includes identifying a target substrate process operation start time. The start time corresponds to a time of initiation of one or more substrate process actions. The method further includes providing to a model first one or more parameters of a gas transfer system associated with the substrate process operation. The method further includes obtaining first output from the model. The first output includes an indication of a first preemptive time period for initiation of first one or more gas delivery actions. The method further includes updating a process recipe. The process recipe is updated in accordance with the first preemptive time period. Updating the process recipe is to cause the first one or more gas delivery actions to deliver a first process gas to a process chamber within a threshold time window of the substrate process operation start time.

The invention discloses a repair-oriented product information identifying and tracing system and method. The method comprises the following steps of: warehousing a product, and inputting repair information; reading the top cover information of the product, and judging the top cover information of the product; judging whether the image information is defective; identifying image information; performing secondary verification on the information; spraying a new bar code on the product; and a repairing process. The system comprises a reading and spraying module, a process operation end and a tracing and analyzing module. Compared with the prior art, the method has the advantages that mixed line repair conditions of product manufacturers, versions and batches can be considered, and identification, identification, tracking and tracing in the product repair process are realized. Maintenance personnel can quickly understand the fault condition of the product, the repair condition of the previous process and the like, so that a more reasonable repair scheme is formulated, the repair time is shortened, and the repair efficiency is improved. When batch quality problems occur to products, enterprises can quickly position the problem range, take effective measures for improvement and recall, and reduce the quality risk and loss.

The invention discloses a management method and system for a drive-by-wire MES system, and relates to the technical field of MES systems, the system is composed of a plurality of functional modules, and the system comprises a data acquisition module for acquiring production line operation data in real time, the operation data comprising sensor data, production line data and process parameter data; the data processing module processes the operation data by deploying a lightweight algorithm at an edge node, and uploads the processed operation data to a cloud for deep analysis, and the deep analysis comprises trend analysis, bottleneck identification and prediction modeling; in combination with a deep analysis result, mapping a physical production environment in real time, and simulating different scheduling strategy responses; the task scheduling and optimizing module is used for dynamically adjusting task priorities by adopting a reinforcement learning algorithm on the basis of production line data, and introducing a buffer area capacity adjusting mechanism to cope with load fluctuation; and receiving process limitation link information predicted by the MES system, and dynamically adjusting a transportation path in combination with a distributed path planning strategy.

The utility model provides a glue filling machine capable of quantitatively filling, which relates to the field of glue filling machines, and comprises a filling support, a glue filling mechanism, a glue filling mechanism, a glue filling mechanism, a glue filling mechanism, a glue filling mechanism, a glue filling mechanism and a glue filling mechanism, and is characterized in that the filling support is mounted on the rear side of a rack of a conveyor; an electromagnetic valve is mounted on a glue outlet head at the lower end of the glue storage tank, and the lower end of the glue outlet head of the glue storage tank is connected with a drainage pipe. The radar level meter is matched with the radar horn mouth to monitor the liquid level of glue in the glue filling barrel in real time, and after the liquid level in the glue barrel reaches the standard, the controller closes the electromagnetic valve, so that the phenomenon of overflow waste caused by the fact that the glue barrel is overfilled with the glue or the batch quality defect caused by insufficient filling of the glue in the glue barrel is avoided, and the production efficiency is improved. The metering precision and stability of the glue filling machine in the whole process operation are improved; the glue filling machine solves the problem that in the glue filling process of an existing glue filling machine, the amount of glue filled into a glue barrel is difficult to accurately control, so that the glue filling machine is poor in glue filling precision.

The invention discloses a flexible manufacturing process planning and execution method applied to a humanoid robot and related equipment, and the method comprises the steps: generating a standardized task description according to the visual element information, operator voice instruction information, work order text information and field state information of a flexible manufacturing production scene, searching in the process knowledge map to obtain an optimal standard process path, and generating a motion track of the humanoid robot; tool updating and station reconstruction are carried out according to the standardized task; and the humanoid robot is driven to execute technological operation according to the motion trail, and the working state of the humanoid robot is adjusted according to technological parameters and quality inspection parameters in the execution process. According to the embodiment of the invention, the method achieves the dynamic process planning and execution of the humanoid robot in a flexible manufacturing scene based on the multi-modal perception and process knowledge map technology, reduces the manual intervention, and improves the production efficiency and quality. The method can be widely applied to the technical field of automatic manufacturing.