1357 results about "Material consumption" patented technology

The invention relates to the technical field of construction project management, in particular to a construction project management system based on cloud computing, which comprises a construction path optimization module, a construction state analysis module, a construction environment monitoring module, a progress plan adjustment module and a green construction optimization module. According to the method, through combination of construction task resource distribution and three-dimensional space information, resource path distribution logic is optimized, material consumption, equipment operation states and key process deviation data are utilized, accurate positioning and prediction of construction dynamic problems are realized, construction interruption is reduced, and equipment and personnel distribution characteristics are extracted based on field image data, so that construction efficiency is improved. The equipment arrangement deviation degree and the potential safety hazard superposition value are quantified, the safety and efficiency of a construction site are improved, and the utilization rate of green construction resources is improved by dynamically adjusting the process time and the resource utilization rate, optimizing the relation between task nodes and factors, improving the flexibility and the response capability of a construction plan and conducting partition modeling energy consumption data and multi-constraint optimization.

The invention belongs to the technical field of clamping, and provides a self-adaptive shape follow-up centering clamp and an automatic clamping method. The self-adaptive shape follow-up centering clamp comprises an end cover, an outer circular ring, a floating shape follow-up positioning cylinder, a driving clamping cylinder, an inner circular ring, a hanging ring, a rib plate and a PLC control system. The automatic clamping method can replace a traditional process ring clamping method, self-adaptive shape follow-up positioning and clamping of the barrel workpiece are achieved, the process ring turning procedure is omitted, and material consumption is reduced. After the outer circular ring, the cylindrical roller bearing and the axis of the lathe spindle in the self-adaptive shape follow-up centering clamp are mounted consistently, it can be guaranteed that the middle barrel section coincides with the axis of the lathe spindle. Shape-following positioning of a blank barrel workpiece is achieved through the floating shape-following positioning cylinder, the barrel workpiece is clamped through the driving clamping cylinder, and it is guaranteed that stress is uniform while the axis of the barrel workpiece does not deviate. The device is achieved based on a PLC control system, the clamping force is quantitatively controlled through feedback adjustment of the oil pressure gauge and the proportional valve, and clamping deformation is reduced.

The invention provides an intelligent construction site real-time monitoring and intelligent scheduling optimization method and system, and relates to the technical field of construction scheduling optimization, and the method comprises the steps: collecting the real-time monitoring data of a construction site, constructing a material consumption thermal distribution diagram, calculating the real-time relative distance between a constructor and equipment, and determining the safety risk level. And determining a material supply sequence and an optimal distribution route based on the thermal gradient and the security risk, generating a scheduling instruction, and ensuring the reliability of the instruction through multi-node voting and smart contract verification. According to the invention, accurate scheduling of construction resources and real-time monitoring of safety risks are realized, and the construction efficiency and safety are improved.

According to the floor support plate, the continuously-bent bottom of a web bar in a combined frame is not transversely bent, manufacturing is easy, material consumption is low, connection with a bottom plate is more stable, force is directly transmitted between the combined frame and a metal bottom plate, the combined frame and the metal bottom plate are jointly stressed, the material properties of the combined frame and the metal bottom plate are brought into play, and the rigidity of the whole structure is higher. The upper chord is of a steel pipe or profile steel or other metal rod piece structures, the strength of the structure can be improved, the steel consumption can be reduced, economical efficiency is better, and the strength, rigidity and overall bearing capacity are higher. Side ribs can be arranged on the side faces of the web ribs according to engineering requirements and act together with the bottom plate. The structural construction requirement of the steel bars in the floor support plate can be met, and the steel bars can not only be combined with metal bottom plates, but also be used for the floor support plate with the requirement of a protective layer. Compared with a traditional truss floor support plate, the steel consumption can be reduced by 8-15%, and the rigidity can be improved by about 10%.

The invention discloses a tunnel intelligent primary support construction wet spraying over-consumption analysis method and system, and the method comprises the steps: obtaining spraying track space distribution data through a three-dimensional motion capturing system installed on a spraying unit, and combining a material flow fluctuation curve generated by a dynamic weighing system, constructing a three-dimensional feature tensor comprising a material flow state feature, an injection process feature and an environment interference feature; a theoretical volume of a primary support structure is extracted based on a geological BIM model, surrounding rock back break data obtained by point cloud scanning are fused, a dynamic use amount reference model considering rebound loss is established through fluid mechanics simulation, and a theoretical use amount interval value with a confidence interval is generated. According to the method, the three-dimensional characteristic spectrum and the closed-loop optimization system are constructed by fusing multi-physical-field dynamic data, the problems that dynamic adaptation of geological conditions is not accurate and a multi-factor coupling super-consumption mode cannot be analyzed in wet spraying construction are solved, and dynamic accurate control over the material consumption and explainable diagnosis of super-consumption causes are achieved.

The invention relates to the technical field of project cost management, in particular to a hydraulic engineering construction cost control system and method, and the system comprises a material consumption analysis module, an inventory early warning calculation module, a dynamic inventory adjustment module, a replenishment trigger optimization module, and a consumption stability evaluation module. According to the method, the material consumption rate is dynamically monitored, the construction progress and engineering quantity are combined to measure and calculate data, a consumption trend curve is established, the actual use condition is compared, the consumption rate deviation is accurately quantified, real-time evaluation of material use is achieved, the number of supply days is calculated in combination with inventory data, the replenishment period is matched, and the replenishment time is dynamically adjusted; the inventory level is optimized, fund occupation is reduced, the stability is evaluated according to the consumption fluctuation range, the maximum consumption fluctuation value is calculated, the demand is adjusted in combination with replenishment, the inventory early warning threshold value is dynamically corrected, the supply chain breakage risk is reduced, the adaptability of construction material management is improved, and the cost control accuracy is improved.

The invention belongs to the technical field of building project management, and particularly relates to a building curtain wall assembly management technology, in particular to a building engineering project management intelligent system and method. A three-dimensional matrix including component identification, material consumption, a planned entering time window and a material sensitivity label is constructed based on a component entering plan; meanwhile, a construction site space model is established, the occupation state of a three-dimensional matrix simulation material storage yard is loaded in the model according to a component entering plan, and component entering is dynamically optimized by comprehensively considering storage yard space overlapping and meteorological adaptability factors in combination with meteorological prediction data in an assembly time window; prejudgment and adjustment of the assembly plan before implementation are realized, and the change frequency in the actual execution process is effectively reduced, so that the waste of manpower and material resources is remarkably reduced, and the stability and efficiency of a construction organization are improved.

The invention provides a road construction carbon emission monitoring method, which belongs to the technical field of electric digital data processing, and comprises the following steps: establishing a monitoring network through a multi-source sensor, collecting equipment operation, material consumption and construction activity data by using an Internet of Things terminal, and calculating carbon emission in combination with a carbon emission factor database to form a fingerprint spectrum. Edge calculation is adopted to carry out time sequence analysis to recognize abnormal points, a neural unit jump algorithm and a multi-head attention architecture are applied to carry out fine adjustment on a pre-training model, and a jump threshold value is calculated through a specific function. And introducing a distributed gradient descent optimization equation to integrate data of multiple construction sites to protect privacy, and generating a monitoring report including total carbon emission, intensity and emission reduction suggestions. And by adaptively adjusting the monitoring time interval, the carbon emission monitoring precision and efficiency are improved. The pre-training model adopts a multi-layer time convolutional network structure, and the adaptability to a specific construction scene is improved through unsupervised pre-training and supervised fine tuning.

The invention relates to the technical field of cost control, in particular to a project cost progress management control method and system, and the method comprises the following steps: collecting attendance equipment material data, combining and calculating resource expenditure density, deducing cost pressure in combination with processes and positions to generate a pressure value sequence, and superposing payment records to calculate daily payment intensity; inputting an abnormal factor algorithm to detect deviation to generate a response fault, analyzing process change to screen a risk section to generate a structural fault, extracting a progress and payment intensity ratio to screen an asynchronous period, constructing a control time axis to analyze a relationship between expenditure density and payment intensity slope, and generating a progress management control result set. Attendance checking, equipment operation and material consumption data are collected to derive cost pressure, abnormal deviation is recognized, risks are early warned, the process and resource change trend is analyzed, the relationship between progress and payment intensity is coordinated, the precision, real-time performance and response efficiency of cost control are improved, and it is guaranteed that a project investment target is smoothly achieved.

The present invention relates to the technical field of concrete construction, and in particular to a concrete environmental impact assessment method based on a life cycle approach. The method comprises the steps of: determining a concrete type on the basis of a construction environment and design requirements of a project; analyzing each stage of concrete engineering in a functional unit, and determining an evaluation range thereof; establishing a region-specific concrete life cycle database; performing inventory analysis on an evaluation range of a concrete life cycle; after the inventory analysis, using component inventories of full-life-cycle concrete to establish indicators on the basis of environmental policies of a construction region, so as to perform an environmental impact assessment; and finally, analyzing and evaluating various energy indicators of the concrete, and guiding the establishment of a subsequent project construction plan. In the assessment method, a full-life-cycle assessment is performed on concrete, the degrees of environmental impact caused by different construction processes in concrete engineering are objectively and holistically assessed, and evaluation and improvement schemes are proposed for the concrete construction, thereby reducing the energy and material consumption in concrete engineering construction.

The present application relates to a multiphase reactor. The multiphase reactor comprises: a reactor housing in which a reaction cavity is formed, wherein the reactor housing is provided with a second material inlet pipe and first material inlet pipes communicated with the reaction cavity, and the first material inlet pipes are used for conveying a first material to the reaction cavity; a gas distributor located in the reaction cavity, wherein the second material inlet pipe is communicated with the gas distributor, and a second material conveyed by the second material inlet pipe is conveyed to the reaction cavity by means of the gas distributor; and flow guide cylinders located in the reaction cavity, wherein a plurality of ventilation parts are arranged on each flow guide cylinder in the circumferential direction of the reactor housing, and the flow guide cylinders are used for axial drainage and radial cutting in the reaction cavity. The present application solves the technical problems that the reaction efficiency is affected and the material consumption is increased due to uneven distribution of a temperature field and a reaction field in multiphase reactors.

The invention relates to the technical field of storage scheduling, in particular to an oryzanol production-oriented intelligent storage cache scheduling method and system. Acquiring batch information of the materials entering the warehousing system; in the material storage process, initial physical feature data of the materials are collected through online sensing equipment; according to the initial physical characteristic data, establishing a mass attenuation model for each material batch, and performing identification based on the mass attenuation model to obtain material attenuation data; production material consumption demands in a future period are periodically obtained, analysis is performed based on material attenuation data and production material consumption data, and potential value loss, task quality matching loss and warehousing operation cost loss of materials are balanced; and generating a storage scheduling strategy which has the minimum comprehensive loss in the period and plans a material batch calling sequence according to a time sequence. According to the invention, the automatic instruction is generated and issued through the storage scheduling strategy to guide material delivery.

The invention discloses an intelligent control system and method for shot blasting equipment based on multi-modal perception, and relates to the technical field of industrial surface treatment.The intelligent control system and method for the shot blasting equipment based on the multi-modal perception have the advantages that a technological parameter self-evolution decision-making mechanism with deep reinforcement learning as a core and real-time feedback of discharging quality as a system is established; the shot blasting process is converted from static experience setting to dynamic model driving, a process parameter optimization model serves as a deep reinforcement learning agent, instant reward functions of processing quality, energy consumption, material consumption and equipment loss are comprehensively considered, and the function guide model pays attention to whether the final quality reaches the standard or not, and also pays attention to the real-time reward functions of the processing quality, the energy consumption, the material consumption and the equipment loss. And meanwhile, the comprehensive economic benefits of the whole process are actively optimized, the quality evaluation and prediction model performs real-time and quantitative analysis on visual images of discharged workpieces, and immediately feeds back results to the decision model, so that the system has the learning ability, and autonomously explores and converges to an optimal process parameter combination for specific workpieces and specific states.

The embodiment of the invention provides a production process collaborative management and control method, a management and control system and a computer program product, and belongs to the field of automatic control. Comprising the following steps: according to order information and production process information of a plurality of orders, determining resource demand information and a predicted production cycle of each order and a predicted production sequence priority among the plurality of orders; according to the above information, the equipment capacity, the production material information and the inventory information, adjusting the production sequence among the plurality of orders to obtain the actual production sequence among the plurality of orders; obtaining actual production data corresponding to the current production order according to the actual production sequence among the plurality of orders, the equipment operation state in the actual production process and the material consumption data; and adjusting the current production order strategy in real time according to the actual production data corresponding to the current production order and the material inventory data and inventory of the current production order product. According to the invention, cooperative control of production links can be realized, so that the efficiency of the production links is improved.

The invention discloses a lightweight honeycomb structure shoe mold printing method based on an SLM process, and the method specifically comprises the following steps: S1, building a three-dimensional model of a shoe mold, and carrying out honeycomb embedding on the three-dimensional model of the shoe mold to obtain a lightweight three-dimensional shoe mold model; s2, the lightweight three-dimensional shoe mold model is uploaded to Msgics software for slicing processing and scanning strategy planning, and the lightweight three-dimensional shoe mold model is uploaded to SLM forming equipment; s3, after parameter setting is carried out on the SLM forming equipment, entity printing of the three-dimensional shoe mold model is carried out according to a scanning strategy; the invention relates to the technical field of additive manufacturing. According to the light-weight honeycomb structure shoe mold printing method based on the SLM process, through arrangement of honeycomb holes, the material consumption is reduced, meanwhile, light-weight design of the shoe mold is achieved, through edge enhancement design of the honeycomb structure, the bearing performance, the elastic modulus and the yield strength of the shoe mold are effectively improved, and the printing quality of the shoe mold is improved. And the high-efficiency preparation targets of light weight, high performance and low cost of the shoe mold are achieved.

The invention discloses a Fe-Beta molecular sieve for N2O catalytic decomposition and a preparation method of the Fe-Beta molecular sieve. According to the method, chitosan and metal Fe < 3 + > ions are complexed to form a chitosan Fe < 3 + > complex, and then the complex, a silicon source, an aluminum source and a template agent are used as raw materials to prepare the Fe-Beta molecular sieve in one step through a hydrothermal method. Hydroxyl, amino and other groups rich in a chitosan molecular chain can effectively complex metal Fe < 3 + > ions to form a stable chitosan Fe < 3 + > complex, and the stable chitosan Fe < 3 + > complex is used as a Fe source to realize uniform dispersion of Fe species in the molecular sieve and effectively reduce formation of FexOy clusters and Fe2O3 nanoparticles, so that the N2O decomposition catalytic performance of the Fe-Beta molecular sieve is improved. Inorganic alkali metal ions are not introduced, so that a large amount of ammonia-nitrogen wastewater generated in a subsequent tedious ammonium exchange process can be avoided, the synthesis period is effectively shortened, and energy consumption, material consumption and environmental pollution are reduced.

The invention discloses an intelligent control system and control method for a flue gas environment-friendly island, belongs to the technical field of flue gas treatment, and solves the problem of how to improve the working condition adaptability, response speed and prediction precision of the environment-friendly island. According to the technical scheme, through intelligent integrated control over a plurality of subsystems in the denitration, dust removal and desulfurization processes, the working condition adaptability, the response speed and the prediction precision of the environment-friendly island are improved, on the premise that standard emission of pollutants is guaranteed, the comprehensive operation efficiency of all the process links is remarkably improved, energy consumption, material consumption and equipment loss are reduced, and the economic benefit is improved. According to the invention, an edge computing device can be used as an external communication module of a DCS, online robust operation is realized, the method is especially suitable for an environmental protection island SCR system in various flue gas treatment fields, safe, efficient and economical intelligent operation of the flue gas environmental protection island system can be realized on the premise of not changing original control logic, and the system has a wide application prospect. And the method has a wide popularization prospect and a remarkable industrial practical value.

The invention discloses a carbon emission weak link identification method and system for an industrial enterprise, and relates to the technical field of industrial carbon emission management, and the method comprises the steps: collecting production process data of the industrial enterprise, the production process data comprising a process flow diagram, equipment energy consumption data and material consumption data; an actual sample and a theoretical sample are constructed based on production process data, an XGBoost algorithm is adopted to establish a prediction model of characteristic parameters and carbon emission, and a contribution value of each characteristic parameter to the carbon emission is quantified through an SHAP algorithm. By integrating the process flow diagram, the equipment energy consumption and the material consumption data, a complete carbon emission data system is established, and the problems of scattered data acquisition and non-uniform standards in a traditional method are solved.

The invention discloses a method, a device, equipment, a medium and a product for calculating carbon emission of a steel structural component, and the method comprises the steps: carrying out the data monitoring and collection of a prefabrication process of each steel structural component, so as to obtain energy consumption data, material consumption data and environment CO2 concentration dynamic change data; calculating the unorganized dissipation amount of the greenhouse gas according to the dynamic change data of the CO2 concentration of the environment; according to the energy consumption data, the material consumption data and the unorganized greenhouse gas dissipation amount, calculating the carbon emission of each steel structural member prefabricating process and the carbon emission of a workshop sharing project; and adding the carbon emission of the prefabrication process and the carbon emission of the workshop sharing project to obtain the carbon emission of each steel structural member in the prefabrication process. According to the method, all energy and material consumption generated due to component prefabrication requirements in the steel component prefabrication stage, carbon emission of workshop shared projects and carbon emission caused by unorganized greenhouse gas dissipation are considered, and therefore the accuracy of calculation of the carbon emission of the steel structural component can be effectively improved.

The invention discloses a self-adaptive intelligent slitting device based on multi-modal feedback and a control method, the self-adaptive intelligent slitting device comprises a multi-modal sensing feedback system and an intelligent control system, and the multi-modal sensing feedback system is electrically connected with the intelligent control system; the multi-mode sensing feedback system comprises a vibration spectrum analysis module used for collecting blade vibration signals and quantifying the abrasion degree of a cutting edge, a temperature control feedback module used for monitoring the temperature gradient of the blade in real time and triggering dynamic cooling, and a visual monitoring module used for detecting the height of a cutting edge notch and the height of a slitting edge. Through cooperative control of the vibration spectrum analysis module, the temperature control feedback module, the visual monitoring module and the blank pressing control unit, blade parameter dynamic optimization and edge quality improvement are achieved. The problems that due to the fact that a traditional slitting device is not high enough in consistency with a control system and high in manual experience dependency degree, the quality of slit products is poor, precision is not high enough, the edges are warped, and material consumption is large are solved.

The invention discloses an intelligent construction site management method and system, electronic equipment and a storage medium, and relates to the technical field of construction site management. The method comprises the steps of obtaining material information of a target construction site; generating a material consumption thermodynamic diagram of the target construction site according to the material information, and dividing the target construction site into a plurality of material use frequency areas based on the material consumption density in the material consumption thermodynamic diagram; calculating a material consumption rate corresponding to each material use frequency area, and determining an inventory early warning threshold value corresponding to each use frequency area based on each material consumption rate; obtaining the current material inventory of each material use frequency area; and when the target use frequency area with the material inventory smaller than the corresponding inventory early warning threshold exists, determining the corresponding material purchase quantity according to the material consumption rate and the material inventory of the target use frequency area, and generating a purchase management report of the target construction site based on each material purchase quantity. By implementing the technical scheme provided by the invention, the construction site management efficiency can be improved.

The invention provides an intelligent workshop material dynamic pulling control method, system and device, and relates to the technical field of intelligent manufacturing, and the method comprises the steps: firstly, obtaining a basic inventory buffer capacity, an equipment topological graph, production scheduling characteristics, real-time production data and a material warehousing rate of an intelligent workshop; time sequence production features, equipment topological features and production scheduling features are extracted in combination with a multi-modal prediction model, the predicted material consumption rate is output, and the prediction precision is improved; secondly, a real-time inventory water level and a dynamic replenishment threshold value are calculated in combination with a prediction result and equipment operation parameters, production fluctuation and equipment fault risks are dynamically adapted, and inventory overstock or material interruption shutdown caused by a traditional static water level is avoided; and finally, if the real-time stock water level is lower than the dynamic replenishment threshold value, according to the material transportation parameters, constructing a minimum delay path objective function, generating an optimal path, and controlling the automated guided vehicle to execute replenishment, so that timely replenishment is ensured, the stock turnover rate is improved, and the lean level of workshop material management is improved.

A molding management system that manages production of a product in a production process including an injection molding process of the product by an injection molding device. The molding management system including a server with a storage section configured to store one or more sets of lot information in which lot identification information for identifying a lot and lot related information are associated with each other and a control section configured to cause a terminal device to display a material consumption action related information addition image that receives a material consumption action related information addition operation for adding material consumption action related information related to an action of consuming the material used for molding the product for adjustment a target injection molding device to the lot information indicating a target lot selected from the lots indicated by one or more sets of the lot information.

The utility model discloses hollow half shaft forming equipment, which belongs to the field of manufacturing of automobile parts and comprises a graded reducing device, a hollow half shaft forming device and a hollow half shaft forming device. The spline cold extrusion device is used for extruding an internal spline on the hollow half shaft blank; the grading hole shrinkage device comprises a first hole shrinkage die, a second hole shrinkage die and a third hole shrinkage die, wherein the first hole shrinkage die is used for extruding the shape of a hollow half shaft on a hollow half shaft blank; the second reducing die is used for reducing and forming the hollow half shaft blank output by the first reducing die to a target diameter; the first reducing die, the second reducing die and the cold extrusion spline device are matched, the cold-rolled steel pipe is used as a hollow half shaft blank for multiple times of reducing forming of the hollow half shaft, material consumption can be reduced, and meanwhile the undesirable phenomena of center hole eccentricity, uneven wall thickness and the like when a special-shaped deep hole is machined in a charge bar can be avoided.

The invention relates to the technical field of data acquisition, and more specifically discloses a data acquisition and analysis system and method for indoor decoration, and the method comprises the steps: extracting the decoration scheme information of a target indoor decoration project and pre-estimating the characteristics of parameter information, constructing a related feature map, and decoding the related feature map, according to the method, the material consumption of the indoor decoration engineering is accurately estimated, so that the problems of low accuracy, material waste or construction period delay existing in a single means based on manual estimation at present are effectively solved.

The invention discloses gamma-butyrolactone single-tower rectification equipment and a treatment process thereof, and relates to the technical field of gamma-butyrolactone preparation.The gamma-butyrolactone single-tower rectification equipment comprises a feeding pump, a rectification tower, a first cooler, a second cooler, a hazardous waste storage tank, a finished product storage tank and a vacuum pump, the rectification tower comprises a tower shell, and tower plates are evenly arranged in the tower shell in the height direction; an overflow weir is arranged on one side of the tower plate, and a downflow plate is connected below the overflow weir; bubble cap assemblies are uniformly distributed above the tower plate, and each bubble cap assembly comprises a breather pipe, a rotary steam distribution component and a cyclone structure; the bottom end of the ventilation pipe is fixed at the top of the tower plate and forms a ventilation channel penetrating through the tower plate; the top end of the ventilation pipe is higher than the highest point of the overflow weir. Through structural innovation and process optimization, high purity of the product is guaranteed, energy consumption and material consumption are reduced, high efficiency, intelligence and environmental friendliness are achieved, and an advanced solution is provided for rectification production of gamma-butyrolactone.

The utility model discloses an extrusion device for graphite felt testing, which is characterized by comprising a bottom plate for placing a water tank, a mounting seat and a limiting seat are arranged on the bottom plate, and a pressing handle is hinged above the mounting seat; the device further comprises a latticed extrusion plate, a connecting rod is arranged above the extrusion plate, and the upper end of the connecting rod is hinged to the pressing handle. And a limiting rod matched with the limiting seat is also arranged on the pressing handle. According to the structure disclosed by the utility model, through the arrangement of the limiting device, the compression ratio of the extrusion plate to the graphite felt is effectively controlled, and the graphite felt cannot be damaged on the premise of ensuring that the graphite felt is fully extruded. In addition, according to the scheme, the treatment efficiency is improved, and the labor intensity and the material consumption are reduced.

The invention belongs to the technical field of aluminum alloy material development, and particularly relates to a 6-series aluminum alloy material, an extruded profile and a preparation method and application of the 6-series aluminum alloy material and the extruded profile. The aluminum alloy material comprises the following elements in percentage by mass: 0.65-0.9% of Si (silicon); 0.85%-1.1% of Mg (magnesium); 0.5%-0.8% of Cu (copper); mn (manganese): 0.05%-0.18%; 0.05% to 0.15% of Cr (chromium); zn (zinc) is less than or equal to 0.1%; ti (titanium) is less than or equal to 0.1%; less than or equal to 0.15% of Fe (iron); and the balance of Al (aluminum) and inevitable impurities. The aluminum alloy material provided by the invention has excellent mechanical properties and corrosion resistance, has remarkable advantages in the aspects of high strength, light weight, processability and cost control compared with a conventional 6-series aluminum alloy, and is particularly suitable for being applied to severe environments, such as offshore photovoltaic module structural members, photovoltaic modules, photovoltaic modules, photovoltaic modules, photovoltaic modules, photovoltaic modules, photovoltaic modules and the like. The material consumption can be effectively reduced, the service life is prolonged, and the maintenance cost is reduced.

The invention discloses a purchase demand prediction method combined with PMC material management and control, and belongs to the technical field of material management and control data processing, and the method comprises the steps: obtaining a material consumption sequence and corresponding timestamp data, and employing a time sequence decomposition method to separate trend components and seasonal components, and obtaining a consumption rule feature sequence; if the fluctuation amplitude of the consumption rule feature sequence exceeds a preset threshold value, determining the consumption rule feature sequence as a basic demand predicted value sequence; obtaining a market price index sequence, and calculating a correlation coefficient between the basic demand predicted value sequence and the market price index sequence; if the absolute value exceeds a set threshold value, updating a basic demand predicted value sequence through a time sequence model; generating a purchase plan sequence according to the basic demand predicted value sequence and the inventory average value; and generating a final output report. The invention discloses a problem that a current material management and control mode cannot capture key changes in time and is difficult to balance contradictions between inventory and production.

The invention discloses a connecting structure of frameless torque motor flat wire windings, which belongs to the technical field of frameless torque motors, and comprises a stator consisting of a stator core and windings, the stator core comprises stator slots and tooth parts, each phase of winding consists of N sets of two groups of flat wire coils, the width of the flat wire coil is gradually increased from the inner diameter side of the stator to the outer diameter side of the stator, the current direction of the coil accords with regular circulation of positive and negative and positive, each set of coil connecting wire is formed by connecting in the same layer, and compared with a coil with the outer side and the inner side connected with a cross-layer wire, the end space can be reduced, and the end height can be reduced. Compared with a round wire winding, the connection structure of the frameless torque motor flat wire winding has the advantages that the slot fullness rate can be increased, the motor efficiency is high, the stability is improved, the space utilization in a stator slot can be greatly improved through a specific wire connection mode, the space waste in the slot is reduced, the windings are more compact, the overall consumables are less, and the connection and assembly are more convenient.