Intelligent goods shelf system capable of precisely controlling materials

Abstract

The invention relates to the technical field of material management, and particularly discloses a material precise control intelligent shelf system which is provided with a material state evaluation module, a material consumption judgment module and a material utilization condition feedback module, a pretreatment preparation assembly pretreats materials according to a preset speed and then transfers the materials to an intelligent shelf; the intelligent goods shelf automatically collects material state information and verifies a predefined threshold value, the material management end transfers materials to the production and machining assembly according to the information, the production and machining assembly machines parts, comprehensively judges the material machining consumption degree and decides whether to adjust the preprocessing speed or not, and meanwhile the quality monitoring assembly collects waste material data and evaluates the waste material remaining degree. According to the process, full-chain precise control management of the materials from pretreatment to processing and consumption monitoring is achieved, and efficient and precise utilization of the materials is ensured.

Description

Technical Field

[0001] The present invention relates to the technical field of material management, and in particular to an intelligent shelf system for precise material control. Background Art

[0002] With the intensification of market competition and the diversification of consumer demand, companies need to adjust production plans more flexibly to meet market demand. In order to ensure the continuity and stability of production, companies need to ensure the timeliness and accuracy of material supply. Material precision control helps companies to grasp the material inventory status in real time and promptly discover and solve material shortages.

[0003] For example, the invention patent with announcement number CN110390473B announces a pull-type workshop material distribution control method and device, which includes the following steps: generating a work order queue according to a production plan and a preset verification logic, the work order queue being provided with work orders arranged in order, and the verification logic being preset with a sorting priority of the work orders; detecting whether the status of the work order in the work order queue is a release status; if the status of the work order is not a release status, calculating the number of online materials according to the production rhythm and the material distribution cycle; judging whether it is necessary to call for materials based on the number of online materials, and if so, calculating the material demand and generating a first material call list based on the material demand.

[0004] For example, the invention patent with announcement number CN115952959B announces a material allocation method and device, a production line control system, and a material allocation method, characterized in that it is applied to a production line, the production line includes multiple workstations, and the workstations include allocation waiting positions and test execution positions; the allocation method includes: obtaining the current workstation to which the allocation waiting position of the material to be allocated belongs; obtaining the vacancy rate of the current workstation and the workstation located after the current workstation; according to the vacancy rate, the material to be allocated flows into the test execution position of any workstation in the current workstation and the subsequent workstations whose vacancy rate meets the vacancy condition.

[0005] In combination with the above technical solutions, it is found that there are material control technical solutions that only describe the material control process. However, during the material control process, the state of the material itself will have a negative impact on the control process, which is not conducive to the precise control of the material and ultimately affects the use of the material. Summary of the invention

[0006] In view of the deficiencies in the prior art, the present invention provides an intelligent shelf system for precise material control, which can effectively solve the problems involved in the above-mentioned background technology.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: a smart shelf system with precise material control, including a material status evaluation module, which is used for the pre-processing preparation component to perform pre-processing operations on each material by pre-setting the material pre-processing speed, and transfer each pre-processed material to the smart shelf, thereby automatically collecting the status information of each material within the preset time period of the smart shelf, determining that the first state of each material meets the evaluation index, and performing a status check with the predefined status compliance evaluation threshold to obtain a status check result, and the material management end transfers each material based on the status check result; a material consumption determination module is used for the smart shelf to receive the transfer instruction and transfer each material to the production The production and processing component performs processing operations on each part of each material, comprehensively determines the material processing consumption value of the part, and determines whether to adjust and control the preprocessing speed of the preset material of the preprocessing preparation component; the material utilization feedback module is used for the quality monitoring component to collect the waste data after the production and processing component performs processing operations on each part, comprehensively evaluates the remaining waste value of the part, matches the preset value of the material processing consumption degree of the part, and performs consumption verification with the material processing consumption degree value of the part to obtain the consumption verification result, and based on the consumption verification result, the material consumption in the production and processing process is fed back to the mobile terminal, so as to complete the material precise control.

[0008] As a further solution, the first state of each material is determined to meet the evaluation index, and the specific determination process is: obtaining environmental data of the area to which the smart shelf belongs at the current time point, specifically including the ambient temperature of the area to which the smart shelf belongs at the current time point and the ambient humidity of the area to which the smart shelf belongs at the current time point; matching the ambient temperature of the area to which the smart shelf belongs at the current time point with the reference temperature that the material can withstand corresponding to each predefined ambient temperature interval, thereby obtaining the reference temperature that the material can withstand at the current time point of the smart shelf; matching the ambient humidity of the area to which the smart shelf belongs at the current time point with the reference humidity that the material can withstand corresponding to each predefined ambient humidity interval Matching is performed to obtain the reference humidity that the material can withstand at the current time point of the smart shelf; the data collection response time of the smart shelf during the storage period is obtained; the material reference weight, data collection definition response time and the reference value of the pressure that can be withstand are extracted from the material control management library; a comprehensive analysis is performed based on the material weight of each material at the current time point of the smart shelf, the tolerable temperature of each material at the current time point of the smart shelf, the tolerable humidity of each material at the current time point of the smart shelf, the tolerable pressure value of each material at the current time point of the smart shelf and the data collection response time of the smart shelf during the storage period, and the first state of each material meets the evaluation index.

[0009] As a further solution, the material management end transfers each material based on the status verification result, and the specific process is: the status verification result is specifically the first status verification result or the second status verification result; the first status verification result is specifically that the first status compliance evaluation index of a certain material is greater than or equal to the status compliance evaluation threshold; the second status verification result is specifically that the first status compliance evaluation index of a certain material is less than the status compliance evaluation threshold; if the status verification result shows the first status verification result, the material management end issues a transfer instruction at the current time point, and the smart shelf transfers the material to the production and processing component; if the status verification result shows the second status verification result, the smart shelf collects the status information of the material at the next time point, obtains the second status compliance evaluation index of the material, and compares it with the status compliance evaluation threshold. If the second status compliance evaluation index is still less than the status compliance evaluation threshold, the collection of the status information of the material is repeated until the time point is the end time point of the preset duration, and the material management end directly issues a transfer instruction, so that the smart shelf transfers the material to the production and processing component.

[0010] As a further solution, the material processing consumption degree value of the parts is comprehensively determined, and the specific determination process is as follows: the parts belonging to each material are processed by the production and processing components to obtain the processing data of each part, including the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, and the total material consumption of each part in the production and processing cycle; the material quantity of each feeding of the production and processing component in the production and processing cycle is obtained, and the standard deviation is processed to obtain the feeding discrete coefficient of the production and processing component in the production and processing cycle; the material weight of each material at the current time point of the smart shelf is matched with the part processing reference weight corresponding to the predefined material weight range, so as to obtain each The processing reference weight of the parts is obtained by averaging the processing reference weight of the parts; the first state of each material meets the evaluation index and is matched with the reference processing time of the parts corresponding to the predefined interval of each state meeting the evaluation index to obtain the processing reference time of each part, and the mean processing is performed to obtain the mean processing reference time of the parts; the material reference consumption is extracted from the material control management library; the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, the total material consumption of each part in the production and processing cycle, and the discrete coefficient of the material feeding of the production and processing components in the production and processing cycle are comprehensively analyzed to obtain the material processing consumption degree value of the parts. The specific method is as follows:

[0011]

[0012] In the formula, XH is the material consumption value of the part, ZL xis the processing weight of the x-th part in the production cycle, x is the number of each part, x = 1, 2, 3, ..., L, L is the total number of parts, ZL' is the mean reference weight of the parts, SC x is the processing time of the xth part in the production cycle, SC′ is the mean reference processing time of the part, WL x is the total material consumption of the x-th part during the production and processing cycle, WL′ is the material reference consumption, TL is the material feeding discrete coefficient of the production and processing component during the production and processing cycle, b1 is the material consumption influencing factor corresponding to the feeding discrete coefficient predefined in the material control management library, and e is a natural constant.

[0013] As a further solution, the preset material pretreatment speed of the pretreatment preparation component is adjusted and controlled, and the specific control process is: obtaining the maximum value of the material adjustment difference allowable interval and the minimum value of the material adjustment difference allowable interval; if the material adjustment difference of the part is greater than the maximum value of the material adjustment difference allowable interval, then adjusting the material pretreatment speed of the pretreatment preparation component through the material pretreatment adjustment plan, so that the material adjustment difference of the part is reduced to within the material adjustment difference allowable interval; if the material adjustment difference of the part is less than the minimum value of the material adjustment difference allowable interval, then adjusting the material pretreatment speed of the pretreatment preparation component through the material pretreatment adjustment plan, so that the material adjustment difference of the part is increased to within the material adjustment difference allowable interval.

[0014] As a further solution, the comprehensive evaluation of the remaining waste degree of the parts is specifically evaluated as follows: the waste data after the processing operation process, specifically including the waste weight of each part in the production and processing cycle and the number of defective parts in the transportation cycle of the parts; obtaining the average ambient temperature and the average ambient humidity of the area to which the production and processing components belong during the production and processing cycle; matching the processing weight of each part in the production and processing cycle with the reference weight of the parts processing waste corresponding to each predefined processing weight interval to obtain the reference weight of the processing waste of each part, and performing mean processing to obtain the mean reference weight of the processing waste of the parts; extracting the average environmental adaptation temperature and the average environmental adaptation humidity from the material control management library; performing a comprehensive analysis based on the waste weight of each part to which the material belongs during the production and processing cycle, the average ambient temperature of the area to which the production and processing components belong during the production and processing cycle, the average ambient humidity of the area to which the production and processing components belong during the production and processing cycle, the number of defective parts of the parts during the transportation cycle, and the material processing consumption degree of the parts to obtain the remaining waste degree of the parts.

[0015] As a further solution, the material consumption situation in the production and processing process is fed back to the mobile terminal. The specific feedback process is: the material processing consumption degree value of the part is subtracted from the preset value of the material processing consumption degree of the part to obtain the material consumption degree deviation value of the part, and compare it with the predefined material consumption degree deviation value allowable range. If the material consumption degree deviation value of the part belongs to the material consumption degree deviation value allowable range, then the production and processing process is normal. If the material consumption degree deviation value of the part does not belong to the material consumption degree deviation value allowable range, then the production and processing process is abnormal. Feedback to the mobile terminal, and the mobile terminal issues a material transfer stop instruction to the material management terminal.

[0016] Compared with the prior art, the embodiments of the present invention have at least the following advantages or beneficial effects:

[0017] (1) The present invention provides an intelligent shelf system for precise material control. After the pre-processing preparation component pre-processes the material at a preset speed, the material is transferred to the intelligent shelf. The intelligent shelf automatically collects material status information and verifies it with a predefined threshold. The material management end transfers the material to the production and processing component based on the information. The production and processing component processes the parts and comprehensively determines the degree of material processing consumption to decide whether to adjust the pre-processing speed. At the same time, the quality monitoring component collects waste data, evaluates the remaining degree of waste, verifies it with the preset consumption value, and feeds back the consumption status to the mobile end. This process realizes precise control management of the entire chain of materials from pre-processing to processing and consumption monitoring, ensuring efficient and accurate use of materials.

[0018] (2) The present invention accelerates the confirmation of material status and transfer decisions by automatically collecting status information of each material within a preset time period of the smart shelf, thereby improving the efficiency of overall material management, determining whether the first status of each material meets the evaluation index, ensuring that the material is processed in the best state, and helping to improve the quality and consistency of the final product. The status is verified against the predefined status and the evaluation threshold to obtain a status verification result. The material management end transfers each material based on the status verification result. The material transfer based on real-time status information can ensure that the material arrives at the designated location in a timely manner when needed, optimize the flow of materials in the production process, and improve the flexibility and response speed of the production line.

[0019] (3) The present invention performs processing operations on various parts belonging to various materials through production and processing components, comprehensively determines the material processing consumption value of the parts, and adjusts the pretreatment speed according to the material processing consumption value of the parts, thereby avoiding material loss caused by insufficient or excessive pretreatment, ensuring that the materials are in the best condition before entering the production and processing components, thereby improving processing efficiency and product quality, and realizing efficient use of materials.

[0020] (4) The present invention uses information-intelligent material management to make material management intelligent and integrated, simplifying the cumbersome manual processing procedures of the past, reducing the error rate, improving business processing efficiency, and solving the shortcomings of existing traditional material management methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0022] Figure 1 It is a schematic diagram of system module connection of the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 As shown, an embodiment of the present invention provides a technical solution: an intelligent shelf system for precise material control, including a material status evaluation module, a material consumption determination module and a material utilization feedback module.

[0025] An embodiment of the present invention provides a technical solution: an intelligent shelf system for precise material control, which also includes: a material control management library for storing material reference weight, data collection response time, pressure reference value, material reference consumption, environment adaptation temperature mean, environment adaptation humidity mean and preset values ​​of various factors.

[0026] The material status assessment module is connected to the material consumption determination module, the material consumption determination module is connected to the material utilization feedback module, and the material status assessment module, the material consumption determination module and the material utilization feedback module are all connected to the material control management library.

[0027] The material status evaluation module is used for the preprocessing preparation component to perform preprocessing operations on each material by presetting the material preprocessing speed, and transfer the preprocessed materials to the smart shelf, thereby automatically collecting the status information of each material within the preset time period of the smart shelf, determining that the first state of each material meets the evaluation index, and performing a status check with the predefined status compliance evaluation threshold to obtain a status check result, and the material management end transfers each material based on the status check result.

[0028] The above-mentioned pretreatment preparation component is specifically a device for pretreatment operations on materials. It executes a pretreatment process on the materials according to the preset material pretreatment speed. Specifically, its pretreatment operations may include cleaning the materials to remove surface impurities and dirt; dimensional calibration to ensure that it meets the subsequent production accuracy requirements; implementation of physical or chemical property adjustments, such as changing the hardness and conductivity of the material; by precisely controlling the pretreatment speed and process, ensuring that the material enters the next production link in the best condition. For example, in the manufacture of electronic products, the cleaning and flatness adjustment of chip pins is a typical pretreatment operation. The speed setting must take into account both efficiency and quality to prevent incomplete processing due to excessive speed and slow overall progress due to excessive speed, thereby laying a solid foundation for the smart shelves to accurately receive materials.

[0029] The above-mentioned smart shelves, as the core hub of material circulation, have many excellent functions. On the one hand, it can automatically identify the storage time of materials transferred from the pre-treatment preparation components. This function is closely built around the timeliness requirements of the pre-treatment process and the production and processing process. For example, after the pre-treatment process, the material is moved to the shelf, the timer starts, and the signal is sent to transfer to the production and processing component after 1 hour, eliminating the problem of discarded materials or scrap caused by premature or late circulation. On the other hand, the smart shelves interact deeply with all aspects of production, receive production information from the production and processing components and feed it back to the pre-treatment preparation components, help the pre-treatment preparation components flexibly adjust the production speed, avoid the dilemma of overcapacity that makes it impossible to complete the production and processing process within 12 hours, achieve accurate material control and efficient circulation, and provide key support for cost reduction and efficiency improvement from the warehousing level.

[0030] The above-mentioned production and processing components are the core execution units in the entire production process. They are responsible for direct processing of materials and transforming raw materials into parts or semi-finished products that meet product requirements. They accurately implement established production processes and carry out mechanical processing (such as cutting, grinding, drilling, etc.), assembly operations (parts combination, connection and tightening), heat treatment (changing material structure and performance) and surface treatment (improving corrosion resistance and aesthetics) on pre-processed materials from smart shelves according to product design and process planning. They are the key links in giving materials product form and performance, such as milling of metal billets to achieve design dimensional accuracy in mechanical manufacturing, and mounting and welding of electronic product chips into functional modules. During the processing process, the production and processing components strictly control quality, monitor processing parameters in real time, and inspect material quality to prevent defective products from entering subsequent processes, thereby ensuring product consistency and reliability.

[0031] The above-mentioned material management terminal and the following mobile terminal specifically associate the actual business process in the computer program, realize the processing and analysis of the computer's actual business processing flow, and collect the processing results of the data of each link of the business. At the same time, the material management terminal and the mobile terminal provide a comprehensive project information dashboard, which integrates and displays all material data and business processing result data involved in the project. Secondly, in the design of the terminal, the material management terminal realizes information interconnection with the mobile terminal, and can realize information synchronization at the same time, so that personnel can break the limitations of space and time and view production workshop data more conveniently.

[0032] The material management end refers to the system or platform responsible for material management and control. It is usually located at the core of the production process and can receive various data and information from pre-processing preparation components, smart shelves, and production and processing components. Based on these data and information, the material management end performs operations such as material status verification, issuance of transfer instructions, and adjustment and control of the pre-processing speed of pre-processing preparation components. It is the hub of the entire material precision control process, ensuring the efficient flow and precise utilization of materials in each link.

[0033] The mobile terminal refers to the terminal device used by users or managers to receive feedback on material consumption, such as smartphones and tablets. It can receive real-time information such as material consumption and waste data sent by the material management terminal through connection with the material management terminal. Mobile terminal users can monitor and manage the production process based on this information, identify problems in a timely manner and take corresponding measures. At the same time, the mobile terminal can also serve as an auxiliary tool for data analysis and decision support, helping users better understand material usage and optimize production processes.

[0034] Specifically, the automatic collection of status information of each material within a preset time period of the smart shelf specifically collects status information of each material at a current time point of the smart shelf.

[0035] The status information of each material at the current time point of the smart shelf specifically includes the material weight of each material at the current time point of the smart shelf, the tolerable temperature of each material at the current time point of the smart shelf, the tolerable humidity of each material at the current time point of the smart shelf, and the tolerable pressure value of each material at the current time point of the smart shelf.

[0036] The above-mentioned current time point refers to the current time point when the smart shelf collects the material status in real time. The smart shelf collects the material status message in real time and continuously.

[0037] The status information of the above-mentioned materials at the current time point of the smart shelf can be extracted through the collection report of the smart shelf. The specific collection method can be monitored by the sensors belonging to the smart shelf. For example, the weight of the material can be monitored by a weight sensor, the tolerable temperature can be monitored by a temperature sensor, the tolerable humidity can be monitored by a humidity sensor, and the tolerable pressure can be monitored by a pressure sensor.

[0038] Furthermore, the first state of each material is determined to meet the evaluation index, and the specific determination process is as follows:

[0039] The environmental data of the area to which the smart shelf belongs at the current time point is obtained, specifically including the environmental temperature of the area to which the smart shelf belongs at the current time point and the environmental humidity of the area to which the smart shelf belongs at the current time point.

[0040] The above environmental data can be monitored by sensors belonging to the smart shelf. For example, the ambient temperature can be monitored by a temperature sensor, and the ambient humidity can be monitored by a humidity sensor.

[0041] The ambient temperature of the area to which the smart shelf belongs at the current time point is matched with the reference temperature that the materials can withstand corresponding to each ambient temperature interval predefined in the material control management library. The specific matching process is: obtain the mapping set between the ambient temperature of the area to which the smart shelf belongs at the current time point and the reference temperature that the materials can withstand from the material control management library, determine the specific interval of the ambient temperature of the area to which the smart shelf belongs at the current time point, and obtain the reference temperature that the materials can withstand corresponding to the interval, so as to match and obtain the reference temperature that the materials can withstand at the current time point of the smart shelf.

[0042] The ambient humidity of the area to which the smart shelf belongs at the current time point is matched with the reference humidity that the materials can withstand corresponding to each ambient humidity interval predefined in the material control management library. The specific matching process is: obtain the mapping set between the ambient humidity of the area to which the smart shelf belongs at the current time point and the reference humidity that the materials can withstand from the material control management library, determine the specific interval of the ambient humidity of the area to which the smart shelf belongs at the current time point, and obtain the reference humidity that the materials can withstand corresponding to the interval, so as to obtain the reference humidity that the materials can withstand at the current time point of the smart shelf.

[0043] Get the data collection response time of the smart shelf during the storage cycle.

[0044] The above-mentioned storage period refers to the period of time that the materials, after being pre-processed, are transferred to the smart shelves and stay on the smart shelves. The storage period is preset to 1 hour in this embodiment. If the status of the materials at the current time point meets the requirements, the storage period is the period from the time the materials enter the smart shelf to the time they leave the smart shelf.

[0045] The above data collection response time can be extracted from the operation report of the smart shelf.

[0046] The material reference weight, data collection definition response time and tolerable pressure reference value are extracted from the material control management library.

[0047] According to the weight of each material at the current time point of the smart shelf, the tolerable temperature of each material at the current time point of the smart shelf, the tolerable humidity of each material at the current time point of the smart shelf, the tolerable pressure value of each material at the current time point of the smart shelf, and the data collection response time of the smart shelf during the storage period, a comprehensive analysis is performed to obtain the first state of each material in compliance with the evaluation index. The specific method is as follows:

[0048]

[0049] In the formula, ZT m The first state of the mth material meets the evaluation index, m is the number of each material, m = 1, 2, 3, ..., R, R is the total amount of the material, M m is the weight of the mth material at the current time point on the smart shelf, M' is the reference weight of the material, and W m is the tolerable temperature of the mth material at the current time point of the smart shelf, W' is the tolerable reference temperature of the material at the current time point of the smart shelf, S m is the tolerable humidity of the mth material at the current time point of the smart shelf, S' is the tolerable reference humidity of the material at the current time point of the smart shelf, P m is the tolerable pressure value of the mth material at the current time point of the smart shelf, P' is the tolerable pressure reference value, T is the data collection response time of the smart shelf during the storage period, T' is the data collection limit response time, and e is a natural constant.

[0050] In this embodiment, the first state of the material meets the evaluation index for measuring whether the state of the material at the current time point meets the material state required for subsequent production and processing. If the state of the material at the current time point meets the requirements, it does not need to be obtained in the smart shelf for a predefined time, but is extracted to enter the production and processing stage. This can shorten the operation time from material preprocessing to material processing, so that material production can be completed within the specified time and material scrapping can be avoided.

[0051] It should be explained that the above-mentioned materials specifically refer to several materials of the same category. In this embodiment, it is assumed that the status evaluations of materials of the same category are consistent.

[0052] It needs to be explained that the above-mentioned material weight refers to the physical weight value of the material stored on the smart shelf at the current time point; the material reference weight refers to the pre-set standard value of the material weight; the tolerable temperature refers to the maximum temperature at which the material can stably maintain its physical and chemical properties without deterioration or performance degradation at the current time point; the tolerable reference temperature refers to the adaptation value corresponding to the pre-defined tolerable temperature; the tolerable humidity refers to the maximum humidity at which the material can stably maintain its physical and chemical properties without deterioration or performance degradation at the current time point; the tolerable reference humidity refers to the adaptation value corresponding to the pre-defined tolerable humidity; the tolerable pressure value refers to the maximum pressure at which the material can stably maintain its physical and chemical properties without deterioration or performance degradation at the current time point; the tolerable pressure reference value refers to the pre-set standard value of the tolerable pressure; the data collection response time refers to the time interval from the smart shelf triggering the data collection instruction to the start of obtaining the material status data; the data collection definition response time refers to the maximum value corresponding to the pre-set data collection response time.

[0053] In this embodiment, if the weight of the material after pretreatment and stored in the smart shelf is too large or too small, that is, deviates from the weight reference value, it will have a negative impact on the detection state of the material. When the weight of the material is too large and greater than the weight reference value, it will not only cause the weight of the material to exceed the bearing weight of the smart shelf, causing the shelf to deform and damage, or even cause a safety accident, but also may cause the smart shelf to deviate from the normal range of the material state detection, affecting the determination of the material's tolerable temperature, humidity and pressure, and reducing the accuracy of the material state determination; if the weight of the material is too small and less than the weight reference value, it may also cause a large deviation in the smart shelf's detection of the material; if the tolerable temperature of the material deviates from the reference value, it means that the molecular structure inside the material may have changed, thereby affecting its state and performance, so that the tolerable humidity and tolerable pressure of the material change accordingly; in this embodiment, the data acquisition response time of the smart shelf determines the timeliness of the smart shelf's monitoring of the tolerable temperature, humidity, and pressure values ​​of the material. If the response is too slow, when these parameters exceed the reference range of the material, it may cause the material to deteriorate and reduce the utilization rate of the material.

[0054] Specifically, the material management end transfers each material based on the status verification result, and the specific process is as follows:

[0055] The state verification result is specifically a first state verification result or a second state verification result.

[0056] The first status verification result is specifically that the first status compliance evaluation index of a certain material is greater than or equal to the status compliance evaluation threshold predefined in the material control management library.

[0057] The second status verification result is specifically that the first status compliance evaluation index of a certain material is less than the status compliance evaluation threshold predefined in the material control management library.

[0058] If the status check result shows the first status check result, the material management end issues a transfer instruction at the current time point, and the smart shelf transfers the material to the production and processing component.

[0059] If the status verification result shows the second status verification result, the smart shelf collects the status information of the material at the next time point, obtains the second status compliance evaluation index of the material, and compares it with the status compliance evaluation threshold. If the second status compliance evaluation index is still less than the status compliance evaluation threshold, the collection of the status information of the material is repeated until the time point is the end time point of the preset duration. The material management end directly issues a transfer instruction, and the smart shelf transfers the material to the production and processing component.

[0060] The status information of the material at the next time point can be extracted from the collection report of the smart shelf.

[0061] It needs to be explained that the repeated execution of the collection of the status information of the material is specifically when the second status conformity evaluation index is still less than the status conformity evaluation threshold, the smart shelf collects the status information of the material at the second time point after the current time point, obtains the third status conformity evaluation index of the material, and compares it with the status conformity evaluation threshold; if the third status conformity evaluation index is still less than the status conformity evaluation threshold, the smart shelf collects the status information of the material at the third time point after the current time point, obtains the fourth status conformity evaluation index of the material, and compares it with the status conformity evaluation threshold, until the status conformity evaluation index of the material is greater than or equal to the status conformity evaluation threshold, then the material management end issues a transfer instruction in advance, or the time point is the end time point of the preset duration, and the material management end directly issues a transfer instruction.

[0062] It should be explained that the above process continuously analyzes the relationship between the material status compliance evaluation index and the threshold within the preset time, and has fully considered the material status characteristics and the adaptability to production needs. The preset time in this embodiment is obtained by analyzing a large amount of historical data, that is, the material status will meet the subsequent production and processing needs after being stored on the smart shelf for 1 hour. In a specific embodiment, the time for which the status complies may vary depending on factors such as the specific storage environment, pretreatment process, and material properties. Therefore, the material status is continuously analyzed within the preset time, and no further analysis is required when the preset time is reached, so that the material can be transferred on time, the energy consumption of the equipment can be reduced, and the stability and reliability of material control can be improved.

[0063] The analysis process of whether the second state of the material meets the evaluation index is as shown in the analysis of whether the first state of the material meets the evaluation index, and will not be described in detail in this embodiment.

[0064] The above-mentioned preset time is set to 1 hour in this embodiment, which starts from the starting time point when the material is stored in the smart shelf, where the smart shelf can automatically identify the storage time point, and ends at the end time point when the material is stored in the smart shelf for 1 hour. The transfer instruction is directly issued by the material management end.

[0065] The material consumption determination module is used for the intelligent shelf to receive transfer instructions to transfer each material to the production and processing component, so that the production and processing component performs processing operations on each part belonging to each material, comprehensively determines the material processing consumption degree value of the part, and determines whether to adjust and control the preprocessing speed of the preset material of the preprocessing preparation component.

[0066] Furthermore, the comprehensive determination of the material processing consumption value of the part is specifically carried out as follows:

[0067] Through the production and processing components, processing operations are performed on each part belonging to each material to obtain the processing data of each part, including the processing weight of each part during the production and processing cycle, the processing time of each part during the production and processing cycle, and the total material consumption of each part during the production and processing cycle.

[0068] The above-mentioned production and processing cycle refers to the period of time used for the production and processing components to produce and process the materials and finally obtain the required parts. The production and processing cycle is determined by the production management personnel based on a comprehensive analysis of factors such as production time needs, material status, and the status of production and processing components.

[0069] The above-mentioned processing data of each part can be extracted from the operation report of the production and processing component.

[0070] The material quantity of each feeding of the production and processing component during the production and processing cycle is obtained, and the standard deviation processing is performed to obtain the feeding dispersion coefficient of the production and processing component during the production and processing cycle.

[0071] The material quantities for each of the above feeds can be extracted from the operation report of the production and processing component.

[0072] The material weight of each material at the current time point of the smart shelf is matched with the part processing reference weight corresponding to each material weight interval predefined in the material control management library. The specific matching process is: extract the mapping set between the material weight of each material at the current time point of the smart shelf and the processing reference weight of each part from the material control management library, determine the specific interval of the material weight of each material at the current time point of the smart shelf, obtain the processing reference weight of the parts corresponding to each interval, thereby obtaining the processing reference weight of each part, and perform mean processing to obtain the mean of the processing reference weight of the parts.

[0073] The first state of each material meets the evaluation index and is matched with the reference time for part processing corresponding to each state meeting the evaluation index interval predefined in the material control management library. The specific matching process is: extracting a mapping set between the first state of each material meeting the evaluation index and the reference time for part processing from the material control management library, determining the specific interval in which the first state of each material meets the evaluation index, and obtaining the reference time for part processing corresponding to each interval, thereby obtaining the reference time for processing each part, and performing mean processing to obtain the mean of the reference time for processing the parts.

[0074] The material reference consumption is extracted from the material control management library.

[0075] The material consumption degree value of the parts is obtained by comprehensively analyzing the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, the total material consumption of each part in the production and processing cycle, and the discrete coefficient of the material input of the production and processing components in the production and processing cycle. The specific method is as follows:

[0076]

[0077] In the formula, XH is the material consumption value of the part, ZL x is the processing weight of the x-th part in the production cycle, x is the number of each part, x = 1, 2, 3, ..., L, L is the total number of parts, ZL' is the mean reference weight of the parts, SC x is the processing time of the xth part in the production cycle, SC' is the mean reference processing time of the part, WL x is the total material consumption of the x-th part in the production and processing cycle, WL' is the material reference consumption, TL is the material feeding discrete coefficient of the production and processing component in the production and processing cycle, b1 is the material consumption influencing factor corresponding to the feeding discrete coefficient predefined in the material control management library, and e is a natural constant.

[0078] In this embodiment, the material processing consumption value of the part is used to measure the material usage of the part during the production and processing process. The larger the material processing consumption value of the part, the more material the part uses during the production and processing. If its consumption level exceeds a reasonable range, it means that the part may have poor processing quality and a large amount of residual waste during the physical production and processing.

[0079] It should be explained that the above-mentioned processing weight refers to the weight of the parts after the raw materials are consumed and put into production and processing within the production and processing cycle to be processed into finished products or semi-finished products that meet the quality standards; the processing reference weight refers to the pre-defined standard processing weight value corresponding to a single part; the processing time refers to the length of time required from the consumption of raw materials and the production and processing to the processing of finished products or semi-finished products that meet the quality standards within the production and processing cycle; the processing reference time refers to the pre-defined standard processing time value corresponding to a single part; the total material consumption refers to the amount of material consumed to process a finished product or semi-finished product that meets the quality standards within the production and processing cycle; the material reference consumption refers to the pre-defined standard material consumption corresponding to a single part; the feed dispersion coefficient refers to the degree of dispersion of the material amount of each feed of the production and processing component within the production and processing cycle. The smaller the value of the feed dispersion coefficient, the closer the feed amount is to the mean, and the more accurate and stable the feeding process is. On the contrary, if the value of the feed dispersion coefficient is large, it highlights the drastic fluctuation of the feed amount, suggesting potential management loopholes in the material supply link, inaccurate metering equipment and other negative problems.

[0080] The material consumption influencing factor corresponding to the above-mentioned feeding discrete coefficient is directly extracted from the material control management library. In the material control management library, there is a specific mapping relationship between the feeding discrete coefficient and the material consumption influencing factor. This mapping relationship can be in a one-to-one or many-to-one form. By substituting the feeding discrete coefficient detected in real time into the mapping set, the corresponding material consumption influencing factor can be obtained. In this process, the feeding discrete coefficient is input and the material consumption influencing factor is output. The connection between the two is established through the mapping set. In this embodiment, the value range of the material consumption influencing factor corresponding to the feeding discrete coefficient is (0, 1).

[0081] In this embodiment, there is a direct causal relationship between the processing weight of the parts and the material consumption. During the processing, the parts are given a reference weight according to the processing requirements. As the processing operations are gradually carried out, such as cutting, grinding, drilling and other processes are carried out in an orderly manner, the processing weight of the parts is relatively close to or equal to the reference weight. During this processing, the material is continuously consumed and converted into waste. The processing time is indirectly related to the processing weight and material consumption, and they restrict each other. A longer processing time usually indicates that the complexity and refinement of the processing technology are higher, which may be accompanied by more tool paths, finer cutting depths or more processing procedures, which in turn leads to a difference between the processing weight and material consumption and their reference values. In addition, a smaller feed dispersion coefficient indicates that the amount of material fed each time is highly close to the mean and the distribution is tightly concentrated, ensuring that the processing weight is stably maintained along the preset process path, avoiding processing interruptions, frequent adjustments of process parameters and quality fluctuations caused by material quantity fluctuations, thereby ensuring the predictability and stability of processing time and helping to achieve precise control of material consumption; on the contrary, a larger feed dispersion coefficient indicates the uncertainty and volatility of the feeding process, which can easily lead to negative effects such as deviation of processing weight from the expected trajectory, disorderly fluctuations in processing time, excessive material consumption and increased waste of resources, greatly increasing the risk of material processing consumption values ​​of parts deviating from the normal range.

[0082] Specifically, the determination of whether to adjust and control the pre-processing speed of the pre-processing preparation component is as follows:

[0083] The material processing consumption degree value of the part is matched with the material consumption speed corresponding to each material processing consumption degree value interval predefined in the material control management library. The specific matching process is: obtain the direct mapping set of the material processing consumption degree value of the part and the material consumption speed from the material control management library, determine the specific interval of the material processing consumption degree value of the part, and assign the material consumption speed corresponding to the interval to the part corresponding to the material processing consumption degree value, so as to match the material consumption speed of the part.

[0084] The preprocessing speed of the preset materials of the preprocessing preparation component is subtracted from the material consumption speed of the part to obtain the material allocation difference of the part, which is compared with the permissible range of material allocation difference predefined in the material control management library. If the material allocation difference of the part falls within the permissible range of material allocation difference, there is no need to adjust and control the preprocessing speed of the preset materials of the preprocessing preparation component, and the material management end continuously monitors the material processing process of the part.

[0085] If the material allocation difference of a part does not fall within the permitted range of the material allocation difference, a material preprocessing adjustment plan for the preprocessing preparation component is matched according to the material processing consumption value of the part, thereby adjusting and controlling the preprocessing speed of the preset material of the preprocessing preparation component.

[0086] The specific matching process of the above matching is: match the material processing consumption degree value of the part with the material preprocessing adjustment plan corresponding to each material consumption degree value interval predefined in the material control management library, obtain the direct mapping set of the material processing consumption degree value of the part and the material preprocessing adjustment plan from the material control management library, determine the interval to which the material processing consumption degree value of the part belongs, and assign the material preprocessing adjustment plan corresponding to the interval to the preprocessing preparation component, so as to match and obtain the material preprocessing adjustment plan of the preprocessing preparation component.

[0087] Furthermore, the pretreatment speed of the pre-processing preparation component is adjusted and controlled, and the specific control process is:

[0088] The maximum value and the minimum value of the material allocation difference allowable interval are obtained, wherein the maximum value and the minimum value are extracted from the material control management library.

[0089] If the material allocation difference of a part is greater than the maximum value of the allowable range of material allocation difference, the material preprocessing speed of the preprocessing preparation component is adjusted through the material preprocessing adjustment plan to reduce the material allocation difference of the part to the allowable range of material allocation difference; if the material allocation difference of the part is less than the minimum value of the allowable range of material allocation difference, the material preprocessing speed of the preprocessing preparation component is adjusted through the material preprocessing adjustment plan to increase the material allocation difference of the part to the allowable range of material allocation difference.

[0090] The above reduces or increases the material allocation difference of the parts to the permissible range of the material allocation difference. Specifically, the equipment parameters of the pretreatment preparation component are adjusted through the material management terminal, such as adjusting the motor rotation speed of the pretreatment preparation component to adjust the material pretreatment speed. During the adjustment process, the material allocation difference is continuously monitored. According to the monitoring results, the pretreatment speed is fine-tuned in time to ensure that the material allocation difference is gradually reduced or increased to the permissible range.

[0091] In a specific embodiment, the material allocation difference of a part may be 12 kilograms per minute, and the allowable range of the material allocation difference may be specifically [5, 10] kilograms per minute. The material management terminal then adjusts the equipment parameters of the pretreatment preparation component to reduce the material allocation difference of the part to 10 kilograms per minute.

[0092] The material utilization feedback module is used for the quality monitoring component to collect waste data after the production and processing component performs processing operations on each part, comprehensively evaluates the remaining waste value of the part, matches the preset value of the material processing consumption degree of the part, performs consumption verification with the material processing consumption degree value of the part to obtain the consumption verification result, and based on the consumption verification result, feeds back the material consumption status in the production and processing process to the mobile terminal, thereby completing the material precise control.

[0093] The above-mentioned quality monitoring component is specifically responsible for collecting and analyzing the waste data after the production and processing component performs processing operations on each part to ensure product quality and production efficiency. It is also connected to the material management terminal to realize data collection, data monitoring, feedback and other functions.

[0094] Specifically, the comprehensive evaluation of the waste remaining degree value of the parts is carried out in the following specific evaluation process:

[0095] The waste data after the processing operation process specifically includes the waste weight of each part during the production and processing cycle and the number of defective parts during the transportation cycle of the parts.

[0096] The above-mentioned transportation cycle refers to the period of time during which each part produced by the production and processing components is transported to the smart shelf for storage after being inspected and qualified by quality inspectors. If there are problems such as collision, cracking, scratches, etc. during transportation, the parts will be judged as product parts by the warehouse inspection personnel.

[0097] The above-mentioned waste weight can be extracted from the operation report of the production and processing components, and the number of defective parts can be extracted from the transportation report of the production and processing components.

[0098] Obtain the average ambient temperature and humidity of the area where the production and processing components are located during the production and processing cycle.

[0099] The ambient temperature and ambient humidity can be detected by sensors belonging to the production and processing components. For example, the ambient temperature can be detected by a temperature sensor, and the ambient humidity can be detected by a humidity sensor.

[0100] The processing weight of each part within the production and processing cycle is matched with the reference weight of the part processing waste corresponding to each processing weight interval predefined in the material control and management library. The specific matching process is: extract the mapping set between the processing weight of each part within the production and processing cycle and the reference weight of the processing waste of each part from the material control and management library, determine the interval to which the processing weight of each part within the production and processing cycle belongs, and assign the reference weight of the part processing waste corresponding to each interval to each part corresponding to each processing weight, so as to obtain the reference weight of the processing waste of each part, and perform mean processing to obtain the mean of the reference weight of the processing waste of the parts.

[0101] The average value of the environment adaptation temperature and the average value of the environment adaptation humidity are extracted from the material control management library.

[0102] The waste remaining degree value of the parts is obtained by comprehensive analysis based on the waste weight of each part of the material during the production and processing cycle, the average ambient temperature of the production and processing area of ​​the production and processing components during the production and processing cycle, the average ambient humidity of the production and processing area of ​​the production and processing components during the production and processing cycle, the number of defective parts during the transportation cycle, and the material processing consumption degree of the parts. The specific method is as follows:

[0103]

[0104] Where FL is the residual waste value of the part, ZZ x is the waste weight of the x-th part during the production and processing cycle, x is the number of each part, x=1,2,3,...,L, L is the total amount of parts, ZZ' is the mean reference weight of the processing waste of the parts, HW is the mean ambient temperature of the area where the production and processing components belong during the production and processing cycle, HW' is the mean environmental adaptation temperature, HS is the mean ambient humidity of the area where the production and processing components belong during the production and processing cycle, HS' is the mean environmental adaptation humidity, CP is the number of defective parts in the transportation cycle of the parts, XH is the material processing consumption degree value of the parts, b2 is the waste remaining influence factor corresponding to the number of defective parts predefined in the material control management library, b3 is the waste remaining influence factor corresponding to the material consumption degree value predefined in the material control management library, and e is a natural constant.

[0105] The material processing consumption degree value of the above-mentioned parts is obtained by comprehensive analysis of the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, the total material consumption of each part in the production and processing cycle, and the material feeding discrete coefficient of the production and processing components in the production and processing cycle.

[0106] In this embodiment, the residual waste degree value of the part is used to measure the residual waste after the part is processed, reflecting the material utilization efficiency and resource loss of the part during the processing. The larger the residual waste degree value of the part, the poorer the material utilization efficiency and the higher the resource loss of the part during the processing, indicating that there is a large deviation in the processing operation during the production and processing of the part, resulting in a significant reduction in material utilization.

[0107] It needs to be explained that the above-mentioned waste weight refers to the total weight of the material part that is removed from the main body of the part due to processing technology requirements and can no longer be used for the current part production during the whole process from the raw materials being put into processing to the completion of processing; the mean reference weight of processing waste refers to the pre-set adaptation value of the waste weight generated by a single part; the mean ambient temperature refers to the average value of the ambient temperature in the area or production workshop where the component is located during the entire cycle of production and processing; the mean ambient adaptation temperature refers to the reference value corresponding to the predefined ambient temperature; the mean ambient humidity refers to the average value of the ambient humidity in the area or production workshop where the component is located during the entire cycle of production and processing; the mean ambient adaptation humidity refers to the reference value corresponding to the predefined ambient humidity; the number of defective parts refers to qualified parts that have scratches, cracks, indentations and other problems due to various reasons during transportation.

[0108] The above-mentioned waste surplus influence factors corresponding to the number of defective parts and the waste surplus influence factors corresponding to the material consumption degree values ​​are both extracted from the material control and management library. For example, the number of defective parts and the waste surplus influence factors corresponding to the number of defective parts preset in the material control and management library form a mapping set, and the real-time number of defective parts is brought into the mapping set to obtain the waste surplus influence factors corresponding to the number of defective parts, wherein the mapping relationship can be a one-to-one correspondence or a many-to-one relationship; the material consumption degree value and the waste surplus influence factors corresponding to the preset material consumption degree value in the material control and management library form a mapping set, and the real-time material consumption degree value is brought into the mapping set to obtain the waste surplus influence factors corresponding to the material consumption degree value, wherein the mapping relationship can be a one-to-one correspondence or a many-to-one relationship. In this embodiment, the value ranges of the waste surplus influence factors corresponding to the number of defective parts and the waste surplus influence factors corresponding to the material consumption degree value are both (0, 1).

[0109] In this embodiment, the mean ambient temperature and the mean ambient humidity have a significant impact on the production and processing process. If the ambient temperature and the ambient humidity in the area to which the processing component belongs deviate from the adapted ambient temperature and the adapted ambient humidity for parts production and processing, it may affect the accuracy and stability of the production equipment corresponding to the production and processing component, thereby affecting the quality of the processed parts and increasing the possibility of generating waste. Secondly, an increase in the number of defective parts is often associated with an increase in the weight of waste. Defective parts usually cannot meet the design requirements or quality standards, and therefore are treated as waste for processing, which means that an increase in the number of defective parts will directly lead to an increase in the weight of waste. In summary, there is a correlation between the number of defective parts, the weight of waste, the mean ambient temperature and the mean ambient humidity, which may affect the accuracy and stability of the production equipment, the performance of the raw materials and the quality stability of the processing process.

[0110] In this embodiment, the greater the value of the material processing consumption degree of the part, generally means that more raw materials are consumed in the processing process, which will have a negative impact on the waste remaining degree value of the part; when the material processing consumption degree value increases, it means that more raw materials are converted into waste in the processing process, which directly leads to an increase in the amount of waste, thereby reducing the utilization rate of raw materials; at the same time, the increase in the material processing consumption degree value may be related to an increase in the defective rate. For example, excessive cutting during the processing process may cause inaccurate part size or reduced surface quality, thereby increasing the defective rate. The increase in the defective rate will further increase the amount of waste, forming a vicious circle.

[0111] Furthermore, the preset value of the material processing consumption degree of the parts is matched, and the specific matching process is:

[0112] The scrap remaining degree value of the part is matched with the preset values ​​of material processing consumption degree corresponding to each scrap remaining degree value interval predefined in the material control and management library. The specific matching process is: extract the mapping set between the scrap remaining degree value of the part and the preset values ​​of material processing consumption degree from the material control and management library, determine the specific interval of the scrap remaining degree value of the part, and assign the preset value of material processing consumption degree corresponding to the interval to the part corresponding to the scrap remaining degree value, so as to match the preset value of material processing consumption degree of the part.

[0113] Specifically, the material consumption during the production process is fed back to the mobile terminal, and the specific feedback process is as follows:

[0114] The material processing consumption degree value of the part is subtracted from the preset value of the material processing consumption degree of the part to obtain the material consumption degree deviation value of the part, and compared with the permitted range of material consumption degree deviation values ​​predefined in the material control management library. If the material consumption degree deviation value of the part falls within the permitted range of material consumption degree deviation values, feedback to the mobile terminal indicates that the production and processing process is normal.

[0115] If the material consumption deviation value of the part does not belong to the permitted range of the material consumption deviation value, the mobile terminal will be fed back that the production process is abnormal, and the mobile terminal will issue a material transfer stop instruction to the material management terminal.

[0116] The above contents are merely examples and explanations of the structure of the present invention. The technicians in this technical field may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the structure of the invention or exceed the scope defined by the present invention, they should all fall within the protection scope of the present invention.

Claims

1. An intelligent shelf system for precise material control, characterized in that: include: The material status evaluation module is used for the pre-processing preparation component to perform pre-processing operations on each material by pre-setting the material pre-processing speed, and transfer the pre-processed materials to the smart shelf, thereby automatically collecting the status information of each material within the preset time period of the smart shelf, determining that the first state of each material meets the evaluation index, and performing a status check with the pre-defined status compliance evaluation threshold to obtain a status check result, and the material management end transfers each material based on the status check result; The material consumption determination module is used for the intelligent shelf to receive the transfer instruction and transfer each material to the production and processing component, so that the production and processing component performs processing operations on each part of each material, comprehensively determines the material processing consumption value of the part, and determines whether to adjust and control the pre-processing speed of the pre-processing preparation component; The material utilization feedback module is used for the quality monitoring component to collect the waste data after the production and processing components perform processing operations on each part, comprehensively evaluate the remaining waste value of the part, match the preset value of the material processing consumption degree of the part, and perform consumption verification with the material processing consumption degree value of the part to obtain the consumption verification result. Based on the consumption verification result, the material consumption status in the production and processing process is fed back to the mobile terminal to complete the material precise control.

2. According to claim 1, the intelligent shelf system for precise material control is characterized by: The automatic collection of status information of each material within a preset time period of the smart shelf specifically involves collecting status information of each material at a current time point of the smart shelf; The status information of each material at the current time point of the smart shelf specifically includes the material weight of each material at the current time point of the smart shelf, the tolerable temperature of each material at the current time point of the smart shelf, the tolerable humidity of each material at the current time point of the smart shelf, and the tolerable pressure value of each material at the current time point of the smart shelf.

3. According to claim 1, the intelligent shelf system for precise material control is characterized by: The first state of each material is determined to meet the evaluation index, and the specific determination process is as follows: Obtain environmental data of the area to which the smart shelf belongs at the current time, specifically including the ambient temperature of the area to which the smart shelf belongs at the current time and the ambient humidity of the area to which the smart shelf belongs at the current time; The ambient temperature of the area to which the smart shelf belongs at the current time point is matched with the reference temperature that the material can withstand corresponding to each predefined ambient temperature range, so as to obtain the reference temperature that the material can withstand at the current time point of the smart shelf; The ambient humidity of the area to which the smart shelf belongs at the current time point is matched with the reference humidity that the material can withstand corresponding to each predefined ambient humidity interval, so as to obtain the reference humidity that the material can withstand at the current time point of the smart shelf; Obtain the data collection response time of the smart shelf during the storage cycle; Extract the material reference weight, data collection definition response time and tolerable pressure reference value from the material control management library; A comprehensive analysis is performed based on the weight of each material at the current time point of the smart shelf, the tolerable temperature of each material at the current time point of the smart shelf, the tolerable humidity of each material at the current time point of the smart shelf, the tolerable pressure value of each material at the current time point of the smart shelf, and the data collection response time of the smart shelf during the storage period, and the first state of each material meets the evaluation indicators.

4. According to claim 1, the intelligent shelf system for precise material control is characterized by: The material management end transfers each material based on the status verification result. The specific process is as follows: The state verification result is specifically a first state verification result or a second state verification result; The first state verification result is specifically that the first state compliance assessment index of a certain material is greater than or equal to the state compliance assessment threshold; The second state verification result is specifically that the first state compliance assessment index of a certain material is less than the state compliance assessment threshold; If the status check result shows the first status check result, the material management terminal issues a transfer instruction at the current time point, and the smart shelf transfers the material to the production and processing component; If the status verification result shows the second status verification result, the smart shelf collects the status information of the material at the next time point, obtains the second status compliance evaluation index of the material, and compares it with the status compliance evaluation threshold. If the second status compliance evaluation index is still less than the status compliance evaluation threshold, the collection of the status information of the material is repeated until the time point is the end time point of the preset duration. The material management end directly issues a transfer instruction, and the smart shelf transfers the material to the production and processing component.

5. According to claim 1, the intelligent shelf system for precise material control is characterized by: The specific determination process of the comprehensive determination of the material processing consumption value of the parts is as follows: Perform processing operations on each part of each material through the production and processing components to obtain the processing data of each part, including the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, and the total material consumption of each part in the production and processing cycle; Obtain the material quantity of each feeding of the production and processing component during the production and processing cycle, and perform standard deviation processing to obtain the feeding dispersion coefficient of the production and processing component during the production and processing cycle; The material weight of each material at the current time point of the smart shelf is matched with the part processing reference weight corresponding to each predefined material weight interval, so as to obtain the processing reference weight of each part, and the mean processing is performed to obtain the mean processing reference weight of the parts; The first state of each material meets the evaluation index and is matched with the reference processing time of the parts corresponding to the predefined intervals of each state meeting the evaluation index, so as to obtain the reference processing time of each part, and the mean processing is performed to obtain the mean of the reference processing time of the parts; Extract the reference consumption of materials from the material control management library; The material consumption degree value of the parts is obtained by comprehensively analyzing the processing weight of each part in the production and processing cycle, the processing time of each part in the production and processing cycle, the total material consumption of each part in the production and processing cycle, and the discrete coefficient of the material input of the production and processing components in the production and processing cycle. The specific method is as follows: In the formula, XH is the material consumption value of the part, ZL x is the processing weight of the x-th part in the production cycle, x is the number of each part, x = 1, 2, 3, ..., L, L is the total number of parts, ZL' is the mean reference weight of the parts, SC x is the processing time of the xth part in the production cycle, SC' is the mean reference processing time of the part, WL x is the total material consumption of the x-th part in the production and processing cycle, WL' is the material reference consumption, TL is the material feeding discrete coefficient of the production and processing component in the production and processing cycle, b1 is the material consumption influencing factor corresponding to the feeding discrete coefficient predefined in the material control management library, and e is a natural constant.

6. According to claim 1, the intelligent shelf system for precise material control is characterized by: The specific determination process of whether to adjust and control the pre-processing speed of the pre-processing preparation component is as follows: Matching the material processing consumption degree value of the part with the material consumption speed corresponding to each predefined material processing consumption degree value interval, thereby obtaining the material consumption speed of the part; The pre-processing speed of the pre-processing preparation component and the material consumption speed of the part are processed by difference, and the material allocation difference of the part is obtained, and compared with the pre-defined material allocation difference allowable range. If the material allocation difference of the part belongs to the material allocation difference allowable range, there is no need to adjust and control the pre-processing speed of the pre-processing preparation component, and the material management end continuously monitors the material processing process of the part; If the material allocation difference of a part does not fall within the permitted range of the material allocation difference, a material preprocessing adjustment plan for the preprocessing preparation component is matched according to the material processing consumption value of the part, thereby adjusting and controlling the preprocessing speed of the preset material of the preprocessing preparation component.

7. The intelligent shelf system for precise material control according to claim 6, characterized in that: The pretreatment speed of the pre-processing preparation component is adjusted and controlled, and the specific control process is: Get the maximum value of the material allocation difference allowable interval and the minimum value of the material allocation difference allowable interval; If the material allocation difference of a part is greater than the maximum value of the allowable range of material allocation difference, the material preprocessing speed of the preprocessing preparation component is adjusted through the material preprocessing adjustment plan to reduce the material allocation difference of the part to within the allowable range of material allocation difference; if the material allocation difference of the part is less than the minimum value of the allowable range of material allocation difference, the material preprocessing speed of the preprocessing preparation component is adjusted through the material preprocessing adjustment plan to increase the material allocation difference of the part to within the allowable range of material allocation difference.

8. The intelligent shelf system for precise material control according to claim 1, characterized in that: The comprehensive evaluation of the residual waste value of the parts is carried out as follows: The waste data after the processing operation process specifically includes the waste weight of each part during the production and processing cycle and the number of defective parts during the transportation cycle of the parts; Obtain the average ambient temperature and humidity of the area where the production and processing components are located during the production and processing cycle; Match the processing weight of each part in the production processing cycle with the reference weight of the part processing waste corresponding to each predefined processing weight interval, so as to obtain the reference weight of the processing waste of each part, and perform mean processing to obtain the mean value of the reference weight of the processing waste of the part; Extract the average value of the environment adaptation temperature and the average value of the environment adaptation humidity from the material control management library; A comprehensive analysis is conducted based on the waste weight of each part of the material during the production and processing cycle, the average ambient temperature of the area where the production and processing components belong during the production and processing cycle, the average ambient humidity of the area where the production and processing components belong during the production and processing cycle, the number of defective parts during the transportation cycle and the material processing consumption degree of the parts to obtain the waste remaining degree value of the parts.

9. The intelligent shelf system for precise material control according to claim 1, characterized in that: The matching process of the preset value of the material processing consumption degree of the parts is as follows: The waste remaining degree value of the part is matched with the preset values ​​of material processing consumption degree corresponding to each predefined waste remaining degree value interval, so as to obtain the preset value of material processing consumption degree of the part.

10. The intelligent shelf system for precise material control according to claim 9, characterized in that: The material consumption in the production process is fed back to the mobile terminal, and the specific feedback process is as follows: The material processing consumption value of the part is processed by difference with the preset value of the material processing consumption value of the part to obtain the material consumption degree deviation value of the part, and the deviation value is compared with the predefined material consumption degree deviation value allowable range. If the material consumption degree deviation value of the part belongs to the material consumption degree deviation value allowable range, the mobile terminal is fed back that the production and processing process is normal; If the material consumption deviation value of the part does not belong to the permitted range of the material consumption deviation value, the mobile terminal will be fed back that the production process is abnormal, and the mobile terminal will issue a material transfer stop instruction to the material management terminal.

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