346 results about "Process operation" patented technology

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 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 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 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.

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.

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 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 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.

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.

The invention relates to the technical field of automatic logistics transportation, and discloses an automatic transportation OHT path selection method, which comprises the following steps: acquiring OHT real-time state and position data, track network environment parameters and the number of OHT in each area of a wafer factory; the historical OHT traffic data is preprocessed; generating a path set from the starting point to the ending point based on the map data structure; calculating dynamic weight values of the paths and sorting the dynamic weight values; performing optimization decision on the path based on convex optimization, a queuing theory and LSTM prediction; and determining a final execution path according to the optimization decision and issuing the final execution path to the OHT. According to the automatic conveying OHT path selection method, through multi-process operation, coverage data acquisition, preprocessing, path set generation, weight calculation and the like, a path which accords with reality and has perspectiveness is determined, meanwhile, path planning is dynamically adjusted through real-time monitoring and closed-loop feedback optimization, and then the conveying efficiency is improved. The problem of low carrying efficiency in a traditional path selection method is solved.

The invention relates to the technical field of edible oil production, in particular to a production method of freshly squeezed camellia oleosa seed oil, which comprises the following steps: decomposing a production process of the freshly squeezed camellia oleosa seed oil into a plurality of process units; in the production process, collecting a real-time process parameter set of the current process unit, and performing process deviation quantitative analysis on the real-time process parameter set and a preset guide process parameter set of the process unit to obtain a process quality risk index of the process unit; analyzing the accumulated influence of the process quality risk indexes corresponding to all the current and previous process units on the process quality of the next process unit, and obtaining the accumulated effect value of the influence of the next process unit; in response to the fact that the influence cumulative effect value exceeds a preset influence threshold value, inputting all the process quality risk indexes into a preset process influence compensation model, and obtaining a process operation compensation strategy of the next process unit; the production efficiency can be improved, and the production cost is reduced.

The application provides an industrial heat exchange process operation optimization control physical experiment device and method, and relates to the technical field of automatic control of process industry. The device comprises: a controlled object unit configured to perform operation optimization control experiment; a process control unit configured to detect process parameters of the controlled object in real time, receive a set value instruction from the operation control unit, and adjust a control instruction to realize basic loop control of the controlled object; and an operation control unit configured to read and record industrial heat exchange process data from the process control unit, perform a specific optimization algorithm calculation according to an optimization target required by the experiment, and adjust the set value of the basic loop control of the controlled object to realize optimization of the operation index. The method is based on the experiment device, three basic loop controllers are constructed, the operation index, decision variable and control problem of the operation optimization of the controlled object are defined, and experiment research for realizing optimization of the operation index is performed.

The utility model provides an energy-saving intelligent RH (Ruhrstahl Heraeus) furnace hydraulic system which is characterized in that lifting cooling assemblies are respectively arranged on two opposite sides of an RH furnace body, a sliding feeding assembly is connected to the top of a portal frame in a sliding manner, and a driving induction assembly is fixedly mounted on the side wall of the portal frame. The RH furnace body can be lifted to a certain height and cooled, the sliding feeding assembly is additionally arranged, alloy materials slide to be weighed, the alloy materials are accurately added, the weight of the alloy materials can be displayed through the driving induction assembly, starting and stopping of alloy material adding are controlled, the distance and the temperature are displayed, the lifting height is adjusted, and cooling is conducted. According to the utility model, not only are the charging simplicity and convenience and the labor saving ensured, but also the cooling efficiency and the cooling safety are improved, the control is simple and convenient, and the energy is saved.

This utility model discloses an intelligent, efficient, and controllable ferrophosphorus casting device, comprising a housing with multiple independently configured processing cavities on its inner side, including a main cavity and secondary cavities; a discharge pipe, a unloading pipe; and a sealing assembly including a support frame, a pressing cover, an adjusting rod, a support block, and a pneumatically controlled pressurizing port. The housing is configured with multiple independent processing cavities, each with a corresponding discharge pipe and unloading pipe, ensuring that each cavity can operate independently. This novel controllable ferrophosphorus casting device can also adjust the amount of compressed air supplied through the pneumatically controlled pressurizing port on the pressing cover to control the ferrophosphorus liquid level within the housing, thereby achieving automatic ferrophosphorus casting for aluminum electrolysis anode steel claws. This enhances the intelligence of workshop equipment while reducing labor costs and manual operation, significantly improving the efficiency of ferrophosphorus casting, saving energy and reducing consumption while improving the safety of process operations.

According to the ginseng extraction system and method provided by the invention, the dual goals of high purity and high yield of ginsenoside extraction are achieved through raw material adaptive parameter pre-optimization, self-adaptive cascade purification and activity protection, the enrichment effect of high-value monomer saponin is remarkable, and the loss of active ingredients is accurately controlled. According to the application, a detection-decision-regulation full-process closed-loop intelligent control system is constructed, near infrared spectrum rapid screening and HPLC-MS / MS accurate quantitative dual-mode online detection are fused, real-time and accurate monitoring of the saponin content is realized, and off-line detection and artificial experience parameters are not needed; the multi-target central control unit can automatically decide a purification path and process parameters according to detection data, and designs such as membrane pollution on-line monitoring, automatic backwashing and solvent circulating preheating are combined, so that continuous operation of the process is ensured, and production interruption caused by equipment failure and process fluctuation is avoided.

The invention discloses an axial auxiliary thin-wall pipe thermal expansion graphite forming method, and belongs to the technical field of metal pipe precision forming. The thermal expansion graphite with different properties is selected in the thin-wall pipe fitting and at the two ends of the thin-wall pipe fitting, the internal pressure for forming the thin-wall pipe fitting and the load required for axial end part material supplementation are provided by utilizing different thermal expansion effects and generated thermal-mechanical properties of the thermal expansion graphite under a certain temperature condition, and therefore near-equal-wall-thickness and high-quality forming of parts of the kind is achieved. The method provided by the invention has the advantages of simple mold structure, convenience in process operation and the like, and has relatively high engineering application and popularization values in the aspect of thin-wall pipe fitting forming in the fields of aerospace, machinery, automobiles and the like.

The utility model discloses a coil feeding and conveying mechanism which comprises a machine table, a feeding assembly, an arrangement assembly, a carrying assembly and a positioning structure. The feeding assembly is used for driving materials to move along the machine table. The arrangement assembly is used for arranging materials and wire legs of the materials; the feeding assembly can drive materials to penetrate through the arrangement assembly and move to the carrying assembly, the positioning structure is arranged on at least one of the feeding assembly, the arrangement assembly and the carrying assembly, and the positioning assembly is used for positioning the machine table, the materials and wire pins of the materials. In the process of transporting, arranging and carrying the materials, the positioning structure can position and fix the wire legs, so that the wire legs can be effectively ensured to be difficult to deform or damage in the operation process of transporting, arranging and / or carrying the materials, and the conveying stability of the materials can be effectively improved; and the follow-up working procedure operation can be smoothly carried out on the materials.

The invention belongs to the technical field of steel and iron smelting and material processing, and particularly discloses a peritectic steel casting blank surface longitudinal crack control method which specifically comprises the steps that firstly, the physical performance of casting powder is optimized, the crystallization temperature of the casting powder is controlled in a segmented mode according to the carbon content of peritectic steel, and the content of lithium oxide in the casting powder is controlled; secondly, adjusting the control precision of the crystallizer, controlling the opening degree shrinkage amount of a wide-surface copper plate of the crystallizer, and adjusting the narrow-surface taper of the crystallizer according to the type of the crystallizer; and finally, technological operation optimization is conducted, and the position of a tundish submersed nozzle, the fluctuation range of the liquid level of a crystallizer and the frequency of increasing and decreasing the pulling speed are controlled. According to the technical scheme, longitudinal cracks on the surface of the peritectic steel casting blank can be effectively controlled, and the quality and the production efficiency of the casting blank are improved.

A method includes obtaining, by a processing device, an indication that a first process parameter is to be adjusted and an associated first direction of adjustment. The method further includes obtaining a first pre-set adjustment value associated with the first process parameter. The method further includes adjusting the first process parameter to generate a first adjusted process parameter in view of the first pre-set adjustment value and the first direction of adjustment. The method further includes enacting a process operation in view of the first adjusted process parameter.

The invention belongs to the technical field of electronic module production, and particularly relates to a power module production process and a power module production device, through four rotatable lower mold plates, an injection molding material can be injected into a cavity formed by a lower plastic package mold and a plastic package cavity through an injection molding opening to form a required power module shape; the laser marking machine on the rear side can provide accurate marks, the traceability of products is improved, the lower plastic packaging mold capable of ascending and descending is matched with the rib cutting tool bit to accurately cut off redundant ribs of the lead frame, finally, the rotating lower mold plate conveys a power module machined by the equipment to the front side, and due to the automatic arrangement, the production efficiency is improved, and the production cost is reduced. According to the power module machining device, the same device can achieve multi-process operation, multiple machining schedules can be conducted synchronously, the requirement for manual operation is reduced, the production speed is increased, meanwhile, direct contact between staff and an isolation module and between the staff and multiple devices is reduced, industrial injury risks and human errors are reduced, the consistency of power module machining is guaranteed, and the production efficiency is improved. And the processing quality of the power module product is ensured.

A product module evaluation method to be executed by a computer system, the computer system including a calculation unit and a storage unit, the storage unit storing: component specification information indicating constituent components of each product; module information specifying, among the constituent components, components that are treated as modules common to multiple products; and equipment candidate information associating process operations and equipment for each constituent component, the product module evaluation method including: a step in which the calculation unit generates, on the basis of the component specification information, the module information, and the equipment candidate information, a configuration of equipment for processing processes for each constituent component to produce each product; a step in which the calculation unit generates a configuration of a production line, including equipment, for processing all the processes for producing each product; and a third step in which the calculation unit calculates a predetermined evaluation index on the basis of the configuration of equipment and the configuration of the production line.