Batching precision detection method and system

Abstract

The invention relates to the technical field of ingredient detection, in particular to an ingredient precision detection method and system. The scheme comprises the following steps: arranging a batching precision detection equipment structure; carrying out weight detection according to a preset interval; setting a control target value and a minimum threshold value of each material in the control center; performing lever configuration and material movement measurement on the measurement path of each material in real time according to a preset period to form a material movement duration; performing on-line component analysis according to the material moving duration and the structure of the measuring sensor; and according to the ingredients of the ingredients, forming a corresponding ingredient table according to records in real time. According to the scheme, by accurately measuring the weight and the flow of the materials, it is ensured that all the materials are accurately proportioned according to the preset proportion, and the product quality and the production efficiency are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of batching detection, and more specifically, to a batching accuracy detection method and system. Background Art

[0002] In the field of ingredient testing, it is crucial to study the methods, significance and importance of ingredient accuracy testing. Through a high-precision ingredient system, the quality consistency and stability of the product can be ensured, and product quality problems caused by inaccurate ingredients can be avoided. Accurate ingredients can effectively control production costs, reduce raw material waste, and improve production efficiency. In addition, strict ingredient accuracy testing can also ensure that products meet regulatory requirements and safety standards, thereby avoiding the occurrence of food safety problems. Therefore, ingredient accuracy testing is not only related to the economic benefits of the enterprise, but also to the health and safety of consumers. It is an indispensable and important link in the production process.

[0003] Prior to the present invention, the existing batching accuracy detection methods mainly used three methods: manual batching, manual batching and automatic batching. Among them, the accuracy of manual batching is the most difficult to guarantee, because personnel experience and responsibility become important factors in determining the accuracy of batching. Manual batching refers to the mode of manually operating the warehouse machine to complete the batching operation, and its batching error is also difficult to control. Although automatic batching has achieved automated batching and reduced the human error rate to a minimum, it has put forward high requirements for the normal operation of hardware equipment with industrial computer systems as the core. The difficulty and key point of the technology lies in how to effectively guarantee and continuously improve the batching accuracy. This involves multiple aspects such as formula design and raw material use, process and equipment selection, silo distribution and batching order, batching method and control accuracy. For example, the inconsistency of the nonlinearity, hysteresis, repeatability, creep under load, sensitivity and other characteristics of the weighing sensor will affect the weighing accuracy; material properties such as fluidity, moisture absorption, shape uniformity and viscosity will also affect the batching accuracy. In addition, factors such as the control of the feed amount, the design and rigidity of the weighing hopper are also important aspects that affect the batching accuracy. Therefore, improving the batching accuracy requires comprehensive consideration of these factors and taking corresponding measures and technical means to optimize and improve them. Summary of the invention

[0004] In view of the above problems, the present invention proposes a batching accuracy detection method and system, which ensures that each material is accurately proportioned according to a predetermined ratio by accurately measuring the weight and flow rate of the material, thereby improving product quality and production efficiency.

[0005] According to a first aspect of an embodiment of the present invention, a method for detecting batching accuracy is provided.

[0006] In one or more embodiments, preferably, the method for detecting batching accuracy includes: Set up the batching accuracy detection equipment structure; Perform weight checks at preset intervals; Set the control target value and minimum threshold for each material in the control center; Lever configuration and material movement measurement are performed on the measurement path of each material in real time according to the preset cycle to form the material movement time; Perform online component analysis based on material movement time and measurement sensor structure; According to the ingredients, a corresponding recorded ingredient list is generated in real time.

[0007] In one or more embodiments, preferably, the setting of the batching accuracy detection device structure specifically includes: The main hopper weighing sensor senses the weight loss of the main ingredients in real time, and comes with a cone-shaped weighing hopper; The auxiliary hopper weighing sensor senses the weight reduction of auxiliary ingredients in real time, and the weighing feeder operates continuously; A quantitative feeding unit is provided, which is equipped with a high torque motor, and the preset mixing ratio is always consistent, so that the mixing processing volume of the equipment is consistent with the processing volume between the processing machines; A mounting frame is provided to support the main hopper and the auxiliary hopper, and is equipped with a material guide port; Before each material enters the hopper, it is transferred through a conveyor belt, and speed and weight detection sensors are configured on the conveyor belt.

[0008] In one or more embodiments, preferably, the weight detection is performed at preset intervals, specifically including: Pre-set the detection cycle; The speed and weight of the material are detected during each monitoring period and the data are fed back to the control center.

[0009] In one or more embodiments, preferably, setting the control target value and minimum threshold value of each material in the control center specifically includes: Set the control target value and minimum threshold for each material. If the control center value determines that the total weight of a certain material is lower than the minimum threshold, the material replenishment process will be started; In the material replenishment process, replenishment will not stop until the material proportion reaches the preset value.

[0010] In one or more embodiments, preferably, the lever configuration and material movement measurement are performed on the measurement path of each material in real time according to a preset period to form the material movement duration, specifically including: A lever is arranged below the transmission area, and the lever is configured using the first calculation formula, the interval between the lever and the transmission area is the original force arm, and the distance between the lever and the strategy device is the equivalent force arm; The material moving time is calculated using the second calculation formula; The first calculation formula is: L1=10×L2 Among them, L1 is the equivalent force arm, and L2 is the original force arm; The second calculation formula is: T=S÷V Among them, S is the distance between the material measurement points, V is the material movement speed, and T is the material movement time.

[0011] In one or more embodiments, preferably, the online component analysis based on the material movement time and the measurement sensor structure specifically includes: Record the empty weight G0; Record the current weight as GL; Calculate the original weight using the third calculation formula; Calculate the real-time flow rate using the fourth calculation formula; Calculate the ingredients using the fifth calculation formula; The third calculation formula is: GY=0.1×(GL-G0) Among them, GY is the original weight; The fourth calculation formula is: WC=GY÷T Among them, WC is the real-time traffic; The fifth calculation formula is: F=WC×D÷R Wherein, F is the ingredient, WC is the real-time flow rate, D is the unit time, and R is the total capacity per unit time. Take 100mL or 1L, and the corresponding time length under this total capacity is the unit time.

[0012] In one or more embodiments, preferably, the step of forming a corresponding recorded ingredient list in real time according to the ingredients includes: According to the pre-set calculation cycle, the average value of the ingredients is extracted; The average of each ingredient in that period of time is taken as its proportion in the total capacity to form an ingredient list for the corresponding period of time, and labels are printed and affixed.

[0013] According to a second aspect of an embodiment of the present invention, a batching accuracy detection system is provided.

[0014] In one or more embodiments, preferably, the batching accuracy detection system comprises: The sensor setting module is used to set the structure of the batching accuracy detection equipment; Time-division recording module, used to perform weight detection at preset intervals; The insufficient determination module is used to set the control target value and minimum threshold value for each material in the control center; The control module is used to configure the levers and measure the material movement of each material's measurement path in real time according to a preset cycle to form the material movement time; The under-detection module is used to perform online component analysis based on the material movement time and the measurement sensor structure; The molding batching module is used to form a corresponding recorded ingredient list in real time according to the ingredient composition.

[0015] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0016] According to a fourth aspect of an embodiment of the present invention, there is provided an electronic device, comprising a memory and a processor, wherein the memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement any one of the methods described in the first aspect of the embodiment of the present invention.

[0017] The technical solution provided by the embodiments of the present invention may have the following beneficial effects: In the solution of the present invention, when the material weight is lower than a preset threshold, the system automatically starts the replenishment process to ensure the continuity of production and reduce the downtime caused by material shortage.

[0018] In the solution of the present invention, the ingredients are monitored and recorded in real time to form a detailed ingredient list, which is convenient for quality control and problem tracing, and enhances the transparency and traceability of the production process.

[0019] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description, claims, and drawings.

[0020] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 The present invention is a flowchart of a method for detecting batching accuracy according to an embodiment of the present invention.

[0023] Figure 2 It is a flow chart of setting the structure of a batching accuracy detection device in a batching accuracy detection method according to an embodiment of the present invention.

[0024] Figure 3 The present invention is a flowchart of a method for detecting the accuracy of ingredients according to a preset interval.

[0025] Figure 4 The present invention is a flowchart of setting a control target value and a minimum threshold value for each material in a batching accuracy detection method according to an embodiment of the present invention.

[0026] Figure 5 In a batching accuracy detection method according to an embodiment of the present invention, lever configuration and material movement measurement are performed on the measurement path of each material in real time according to a preset cycle to form a flow chart of the material movement duration.

[0027] Figure 6 It is a flow chart of performing online component analysis according to material movement time and measurement sensor structure in a batching accuracy detection method according to an embodiment of the present invention.

[0028] Figure 7 It is a flow chart of forming a corresponding recorded ingredient table in real time according to ingredient components in a method for detecting ingredient accuracy in one embodiment of the present invention.

[0029] Figure 8 It is a structural diagram of a batching accuracy detection system according to an embodiment of the present invention.

[0030] Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. DETAILED DESCRIPTION

[0031] In some of the processes described in the specification and claims of the present invention and the above-mentioned figures, multiple operations that appear in a specific order are included, but it should be clearly understood that these operations may not be executed in the order in which they appear in this article or executed in parallel. The serial numbers of the operations, such as 101, 102, etc., are only used to distinguish different operations, and the serial numbers themselves do not represent any execution order. In addition, these processes may include more or fewer operations, and these operations may be executed in sequence or in parallel. It should be noted that the descriptions of "first", "second", etc. in this article are used to distinguish different messages, devices, modules, etc., do not represent the order of precedence, and do not limit the "first" and "second" to be different types.

[0032] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0033] In the field of ingredient testing, it is crucial to study the methods, significance and importance of ingredient accuracy testing. Through a high-precision ingredient system, the quality consistency and stability of the product can be ensured, and product quality problems caused by inaccurate ingredients can be avoided. Accurate ingredients can effectively control production costs, reduce raw material waste, and improve production efficiency. In addition, strict ingredient accuracy testing can also ensure that products meet regulatory requirements and safety standards, thereby avoiding the occurrence of food safety problems. Therefore, ingredient accuracy testing is not only related to the economic benefits of the enterprise, but also to the health and safety of consumers. It is an indispensable and important link in the production process.

[0034] Prior to the present invention, the existing batching accuracy detection methods mainly used three methods: manual batching, manual batching and automatic batching. Among them, the accuracy of manual batching is the most difficult to guarantee, because personnel experience and responsibility become important factors in determining the accuracy of batching. Manual batching refers to the mode of manually operating the warehouse machine to complete the batching operation, and its batching error is also difficult to control. Although automatic batching has achieved automated batching and reduced the human error rate to a minimum, it has put forward high requirements for the normal operation of hardware equipment with industrial computer systems as the core. The difficulty and key point of the technology lies in how to effectively guarantee and continuously improve the batching accuracy. This involves multiple aspects such as formula design and raw material use, process and equipment selection, silo distribution and batching order, batching method and control accuracy. For example, the inconsistency of the nonlinearity, hysteresis, repeatability, creep under load, sensitivity and other characteristics of the weighing sensor will affect the weighing accuracy; material properties such as fluidity, moisture absorption, shape uniformity and viscosity will also affect the batching accuracy. In addition, factors such as the control of the feed amount, the design and rigidity of the weighing hopper are also important aspects that affect the batching accuracy. Therefore, improving the batching accuracy requires comprehensive consideration of these factors and taking corresponding measures and technical means to optimize and improve them.

[0035] In an embodiment of the present invention, a method and system for detecting the accuracy of batching are provided. The solution ensures that each material is accurately batched according to a predetermined ratio by accurately measuring the weight and flow rate of the material, thereby improving product quality and production efficiency.

[0036] According to a first aspect of an embodiment of the present invention, a method for detecting batching accuracy is provided.

[0037] Figure 1 The present invention is a flowchart of a method for detecting batching accuracy according to an embodiment of the present invention.

[0038] In one or more embodiments, preferably, the method for detecting batching accuracy includes: S101, setting the batching accuracy detection equipment structure; S102, performing weight detection at preset intervals; S103. Setting a control target value and a minimum threshold for each material in the control center; S104, performing lever configuration and material movement measurement on the measurement path of each material in real time according to a preset cycle to form a material movement duration; S105, performing online component analysis according to the material movement time and the measurement sensor structure; S106. According to the ingredients, a corresponding ingredient table is generated in real time.

[0039] In the embodiment of the present invention, real-time monitoring and precise calculation are used to ensure that the materials are accurately proportioned according to the predetermined ratio. The system adopts advanced weighing sensor technology and automatic control to achieve high-precision material measurement and flow control. In addition, the system also has an automatic material replenishment function. When the material weight is lower than the preset threshold, the replenishment process is automatically started to ensure the continuity of production. The online ingredient analysis function monitors the ingredients in real time and forms a detailed ingredient table to facilitate quality control and problem tracing. The entire system improves production efficiency, ensures product quality, and reduces production costs.

[0040] Figure 2 It is a flow chart of setting the structure of a batching accuracy detection device in a batching accuracy detection method according to an embodiment of the present invention.

[0041] like Figure 2 As shown, in one or more embodiments, preferably, the setting of the batching accuracy detection device structure specifically includes: S201, main hopper weighing sensor senses the weight reduction of main ingredients in real time, and comes with a cone weighing hopper; S202, the auxiliary hopper weighing sensor senses the weight reduction of the auxiliary ingredients in real time, and the weighing feeder operates continuously; S203, a quantitative feeding unit is provided, wherein the quantitative feeding unit is equipped with a high torque motor, and the preset mixing ratio is always consistent, so that the mixing processing volume of the equipment is consistent with the processing volume between the processing machines; S204, a mounting frame is provided to support the main hopper and the auxiliary hopper, and is provided with a material guide port; S205. Before each material enters the hopper, it is transferred through a conveyor belt, and a speed and weight detection sensor is arranged on the conveyor belt.

[0042] In an embodiment of the present invention, a dual weighing system including a main hopper and a secondary hopper is constructed. The main hopper is equipped with a cone-shaped weighing sensor, which can monitor the weight change of the main ingredients in real time to ensure the accuracy of each batching. The secondary hopper is continuously operated by a weighing feeder, and its built-in weighing sensor also senses the weight loss of the secondary ingredients in real time to maintain the consistency of the batching ratio. In order to achieve accurate batching ratio control, the system is provided with a quantitative feeding unit, which is equipped with a high-torque motor to drive the feeding mechanism. By presetting the mixing ratio parameters, the quantitative feeding unit can ensure that different materials are mixed in a constant ratio, thereby ensuring that the mixing processing capacity of the entire equipment is consistent with the processing capacity of the subsequent processing machine. In addition, in order to support the main hopper and the secondary hopper and ensure smooth material transmission, the system is also designed with a mounting frame. The mounting frame not only provides a stable structural support, but also has a material guide port so that the material can enter the hopper smoothly. Before the materials enter the hopper, they are transported through a conveyor belt. The conveyor belt is equipped with speed and weight detection sensors, which can monitor the transmission speed and weight of the material in real time, providing further data support for batching accuracy. In summary, the batching accuracy detection system of the present invention realizes precise control and real-time monitoring of the batching process through the coordinated work of components such as the dual weighing system, the quantitative feeding unit, the mounting frame, and the speed and weight detection sensors on the conveyor belt, effectively improving the batching accuracy and production efficiency.

[0043] Figure 3 The present invention is a flowchart of a method for detecting the accuracy of ingredients according to a preset interval.

[0044] like Figure 3 As shown, in one or more embodiments, preferably, the weight detection is performed at preset intervals, specifically including: S301, presetting a detection cycle; S302. Start the speed and weight detection of the material in each monitoring period and feed back the data to the control center.

[0045] In an embodiment of the present invention, in order to further optimize the batching process and ensure long-term stability, a function of weight detection at preset intervals is introduced. This function is achieved by presetting the detection cycle, so that the speed and weight detection of the material are automatically started in each monitoring cycle. The specific implementation method is as follows: First, a detection cycle is set in the control center of the system, and the cycle can be adjusted according to actual production needs. For example, it can be set to perform a weight detection every 30 minutes or every hour. Once the detection cycle arrives, the system automatically triggers the speed and weight detection sensors on the conveyor belt and starts real-time monitoring of the material being transported. In each monitoring cycle, the speed detection sensor measures the speed of the material passing through the conveyor belt, while the weight detection sensor is responsible for measuring the weight of the material. These two parameters are crucial to ensuring the accuracy of the batching because they directly affect the amount and mixing ratio of the ingredients. After the detection is completed, the sensor will feed back the collected data to the control center in real time. After receiving the data, the control center will analyze and process the data to determine whether the current batching process meets the preset accuracy requirements. If any deviation is found, the control center will immediately adjust the output of the quantitative feeding unit or adjust the speed of the conveyor belt to ensure that the batching accuracy returns to the normal range. In addition, all test data and adjustment records will be stored in the database of the control center for historical data analysis and future optimization. In this way, the batching accuracy detection system of the present invention can realize self-monitoring and dynamic adjustment in the continuous production process, greatly improving the accuracy and consistency of the batching, and also providing strong data support for the quality control of the production process.

[0046] Figure 4 The present invention is a flowchart of setting a control target value and a minimum threshold value for each material in a batching accuracy detection method according to an embodiment of the present invention.

[0047] like Figure 4 As shown, in one or more embodiments, preferably, the control target value and minimum threshold value of each material are set in the control center, specifically including: S401, setting the control target value and minimum threshold value for each material, and starting the material replenishment process if the control center value determines that the total weight of a certain material is lower than the minimum threshold value; S402. In the material replenishment process, the material will not be replenished until the proportion reaches the preset value.

[0048] In the embodiment of the present invention, the control center plays a vital role. It is not only responsible for real-time monitoring and adjustment of the batching process, but also has the function of intelligent management of material replenishment. In order to ensure the continuity of production and the accuracy of batching, a clear control target value and a minimum threshold are set for each material in the control center. The specific implementation method is as follows: the control center will preset a control target value for each material according to the production formula and process requirements. This value represents the ideal weight or proportion of the material in the batching process. At the same time, in order to avoid production interruptions caused by material shortages, a minimum threshold is also set for each material. This minimum threshold is a safety limit. When the weight of the material is lower than this value, it means that the material needs to be replenished in time. During the batching process, the control center will continue to monitor the weight changes of each material. Once it is detected that the total weight of a certain material is lower than its preset minimum threshold, the control center will immediately start the material replenishment process. This process includes automatically triggering the material supply system, such as opening the discharge port of the silo or starting the conveying equipment, to ensure that the material can be quickly replenished to the production line. During the material replenishment process, the control center will continue to monitor the weight increase of the material until the proportion of the material reaches the preset target value. At this point, the control center will determine that the material is sufficient and stop the replenishment process to avoid excessive replenishment leading to an imbalance in the proportion of ingredients. The entire material replenishment process is automated, without the need for manual intervention, which greatly improves production efficiency and ingredient accuracy. In this way, the ingredient accuracy detection system of the present invention achieves precise control and automatic replenishment of material use, ensuring the continuity and stability of the production process, while also reducing production risks caused by material shortages or excesses.

[0049] Figure 5 In a batching accuracy detection method according to an embodiment of the present invention, lever configuration and material movement measurement are performed on the measurement path of each material in real time according to a preset cycle to form a flow chart of the material movement duration.

[0050] like Figure 5 As shown, in one or more embodiments, preferably, the lever configuration and material movement measurement are performed on the measurement path of each material in real time according to a preset cycle to form the material movement duration, specifically including: S501, setting a lever below the transmission area, configuring the lever using the first calculation formula, the interval between the lever and the transmission area is the original force arm, and the distance between the lever and the strategy device is the equivalent force arm; S502, calculating the material moving time using a second calculation formula; The first calculation formula is: L1=10×L2 Among them, L1 is the equivalent force arm, and L2 is the original force arm; The second calculation formula is: T=S÷V Among them, S is the distance between the material measurement points, V is the material movement speed, and T is the material movement time.

[0051] In an embodiment of the present invention, in order to further improve the measurement accuracy and control efficiency of material movement, an innovative lever configuration method is adopted, and real-time measurement technology is combined to calculate the movement time of the material. The following is a detailed implementation method: First, levers are set below the transmission area, and these levers form a specific interval with the transmission area, which is called the original force arm (L2). The position and angle of the lever are accurately calculated and adjusted in advance according to the characteristics of the conveyor belt and the properties of the material. Next, the lever is configured using the first calculation formula to achieve the optimal equivalent force arm (L1). The first calculation formula is as follows: L1=10×L2; where L1 is the equivalent force arm and L2 is the original force arm. Through this formula, it can be ensured that the lever provides sufficient sensitivity and accuracy during the measurement process. During the material movement process, the second calculation formula is used to calculate the movement time of the material. The second calculation formula is as follows: T=SV; where T is the material movement time, S is the distance between the material measurement points, and V is the material movement speed. This formula can help monitor the movement of the material in real time and adjust the transmission speed or stop the transmission as needed. The workflow of the entire system is as follows: When the material enters the transmission area, the control system activates the lever configuration and material movement measurement according to the preset cycle. The lever configuration ensures the accuracy of the measurement, and the calculation of the material movement time provides real-time data feedback, so that the control center can make immediate adjustments and optimizations based on these data. In this way, the batching accuracy detection system of the present invention can not only achieve high-precision material batching, but also ensure the continuity and stability of material supply, thereby improving the efficiency and quality of the entire production process.

[0052] Figure 6 It is a flow chart of performing online component analysis according to material movement time and measurement sensor structure in a batching accuracy detection method according to an embodiment of the present invention.

[0053] like Figure 6 As shown, in one or more embodiments, preferably, the online component analysis based on the material movement time and the measurement sensor structure specifically includes: S601, record the empty weight G0; S602, record the current weight as GL; S603, calculating the original weight using a third calculation formula; S604, calculating the real-time flow rate using the fourth calculation formula; S605, calculating the ingredients using the fifth calculation formula; The third calculation formula is: GY=0.1×(GL-G0) Among them, GY is the original weight; The fourth calculation formula is: WC=GY÷T Among them, WC is the real-time traffic; The fifth calculation formula is: F=WC×D÷R Wherein, F is the ingredient, WC is the real-time flow rate, D is the unit time, and R is the total capacity per unit time, which is 100 mL or 1 L. The corresponding time length under this total capacity is the unit time.

[0054] In an embodiment of the present invention, a comprehensive measurement and calculation method is adopted. The following is a detailed implementation method: First, the system records the empty weight G0 through a weighing sensor, which is the initial weight when there is no material. Then, when the material starts to enter the transmission area, the system records the current weight GL. These two weight values ​​are the basis for subsequent calculations. Next, the original weight GY is calculated using the third calculation formula, which is as follows: GY=0.1×(GL−G0); where GY is the original weight, GL is the current weight, and G0 is the empty weight. This formula is used to extract the weight change caused by the increase in material from the total weight and convert it into the original weight. The real-time flow WC is calculated using the fourth calculation formula, which is as follows: WC=GYT where WC is the real-time flow, GY is the original weight, and T is the length of time the material is moving. This formula helps understand the flow rate of the material within a specific time. Finally, the fifth calculation formula is used to calculate the batching composition F, the formula is as follows: F=WC×DR; wherein F is the batching composition, WC is the real-time flow rate, D is the unit time (for example, 1 minute or 1 hour), and R is the total capacity per unit time (take 100mL or 1L). The corresponding duration under this total capacity is the unit time. The workflow of the entire system is as follows: When the material enters the transmission area, the control system activates the lever configuration and material movement measurement according to the preset cycle. At the same time, the weighing sensor records the empty weight and the current weight, and then uses the above formula to calculate to obtain the real-time flow rate and batching composition. These data will be transmitted to the control center in real time, and the control center will make immediate adjustments and optimizations based on these data. In this way, the batching accuracy detection system of the present invention can not only achieve high-precision material batching, but also ensure the continuity and stability of material supply, thereby improving the efficiency and quality of the entire production process.

[0055] Figure 7 It is a flow chart of forming a corresponding recorded ingredient table in real time according to ingredient components in a method for detecting ingredient accuracy in one embodiment of the present invention.

[0056] like Figure 7 As shown, in one or more embodiments, preferably, the corresponding recorded ingredient list is formed in real time according to the ingredients, specifically including: S701, extracting the average value of the ingredients according to the pre-set calculation cycle; S702, taking the average of each component in the period as its proportion in the total capacity, forming a component table for the corresponding period, and printing labels for annotation.

[0057] In an embodiment of the present invention, in order to achieve real-time monitoring and recording of the ingredients, an efficient data management and analysis method is adopted. The following is a detailed implementation method: First, the system will form a corresponding ingredient table in real time according to the ingredient composition (as described above, obtained by a series of calculation formulas). These ingredient tables record in detail the weight, flow rate and proportion of each material in a specific time period. Next, according to a preset operation cycle (such as each shift, each day or each week), the system automatically extracts the data in the real-time ingredient table and calculates the average value of each ingredient in the period. This average value reflects the stability and consistency of the ingredient in the total capacity. Then, the system uses the average proportion of each ingredient in the period as its proportion in the total capacity to form a ingredient table in the corresponding period. This table not only shows the specific value of each ingredient, but also provides important information about the stability of the production process. Finally, in order to facilitate traceability and quality control, the system will print out this ingredient table and affix it to the corresponding product packaging or batch record. In this way, each batch of products has a detailed ingredient record, which is convenient for subsequent quality inspection and problem tracking. The workflow of the entire system is as follows: When the material enters the transmission area, the control system activates the lever configuration and material movement measurement according to the preset cycle. At the same time, the weighing sensor will record the empty weight and the current weight, and then use the above formula to calculate and obtain the real-time flow rate and ingredient composition. These data will be transmitted to the control center in real time, and the control center will make immediate adjustments and optimizations based on these data. At the same time, the system will update the ingredient table in real time based on these data, and extract the average value at the end of each operation cycle to form the final ingredient table and print and annotate it. In this way, the batching accuracy detection system of the present invention can not only achieve high-precision material batching, but also ensure the continuity and stability of material supply, thereby improving the efficiency and quality of the entire production process. In addition, the function of forming and recording the ingredient table in real time also provides strong support for the traceability and transparency of the production process.

[0058] According to a second aspect of an embodiment of the present invention, a batching accuracy detection system is provided.

[0059] Figure 8 It is a structural diagram of a batching accuracy detection system according to an embodiment of the present invention.

[0060] In one or more embodiments, preferably, the batching accuracy detection system comprises: The sensor setting module 801 is used to set the structure of the batching accuracy detection equipment; The time period recording module 802 is used to perform weight detection at preset intervals; The insufficient determination module 803 is used to set the control target value and minimum threshold value of each material in the control center; The insufficient control module 804 is used to perform lever configuration and material movement measurement on the measurement path of each material in real time according to a preset cycle to form the material movement time; The insufficient detection module 805 is used to perform online component analysis according to the material movement time and the measurement sensor structure; The molding batching module 806 is used to form a corresponding recorded ingredient list in real time according to the batching ingredients.

[0061] In the embodiment of the present invention, a system suitable for different structures is realized through a series of modular designs. The system can achieve closed-loop, reliable and efficient execution through collection, analysis and control.

[0062] According to a third aspect of an embodiment of the present invention, there is provided a computer-readable storage medium on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method as described in any one of the first aspect of the embodiment of the present invention is implemented.

[0063] According to a fourth aspect of an embodiment of the present invention, an electronic device is provided. Fig. 9 It is a structural diagram of an electronic device in one embodiment of the present invention. Fig. 9 The electronic device shown is a universal batching accuracy detection device. Fig. 9 The electronic device may be a smart phone, a tablet computer, or the like. The electronic device 900 includes a processor 901 and a memory 902. The processor 901 is electrically connected to the memory 902.

[0064] Processor 901 is the control center of electronic device 900. It uses various interfaces and lines to connect various parts of the entire electronic device, executes various functions of the electronic device and processes data by running or calling computer programs stored in memory 902, and calling data stored in memory 902, thereby monitoring the electronic device as a whole.

[0065] In this embodiment, the processor 901 in the electronic device 900 will load the instructions corresponding to the processes of one or more computer programs into the memory 902 according to the following steps, and the processor 901 will run the computer program stored in the memory 902 to realize various functions, such as: setting the structure of the batching accuracy detection equipment; performing weight detection at preset intervals; setting the control target value and minimum threshold value of each material in the control center; performing lever configuration and material movement measurement on the measurement path of each material in real time according to a preset period to form the material movement time; performing online component analysis based on the material movement time and the measurement sensor structure; and forming a corresponding recorded component table in real time according to the batching ingredients.

[0066] In some embodiments, the electronic device 900 may further include: a display 903, a radio frequency circuit 904, an audio circuit 905, a wireless fidelity module 906, and a power supply 907. The display 903, the radio frequency circuit 904, the audio circuit 905, the wireless fidelity module 906, and the power supply 907 are electrically connected to the processor 901, respectively.

[0067] The display 903 may be used to display information input by a user or information provided to a user and various graphical user interfaces, which may be composed of graphics, text, icons, videos, and any combination thereof. The display 903 may include a display panel, and in some embodiments, the display panel may be configured in the form of a liquid crystal display (LCD) or an organic light-emitting diode (OLED).

[0068] The radio frequency circuit 904 can be used to send and receive radio frequency signals, so as to establish wireless communication with a network device or other electronic devices through wireless communication, and to send and receive signals between the network device or other electronic devices.

[0069] The audio circuit 905 can be used to provide an audio interface between a user and the electronic device through a speaker and a microphone.

[0070] The wireless fidelity module 906 can be used for short-range wireless transmission, and can help users to send and receive emails, browse websites, and access streaming media, etc. It provides users with wireless broadband Internet access.

[0071] The power supply 907 may be used to supply power to various components of the electronic device 900. In some embodiments, the power supply 907 may be logically connected to the processor 901 through a power management system, so that the power management system can manage charging, discharging, power consumption, and other functions.

[0072] although Fig. 9 Not shown, the electronic device 900 may also include a camera, a Bluetooth module, etc., which will not be described in detail here.

[0073] The technical solution provided by the embodiments of the present invention may have the following beneficial effects: In the solution of the present invention, when the material weight is lower than a preset threshold, the system automatically starts the replenishment process to ensure the continuity of production and reduce the downtime caused by material shortage.

[0074] In the solution of the present invention, the ingredients are monitored and recorded in real time to form a detailed ingredient list, which is convenient for quality control and problem tracing, and enhances the transparency and traceability of the production process.

[0075] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) containing computer-usable program codes.

[0076] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0077] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0078] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0079] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A method for detecting batching accuracy, characterized in that: The method includes: Set up the batching accuracy detection equipment structure; Perform weight checks at preset intervals; Set the control target value and minimum threshold for each material in the control center; Lever configuration and material movement measurement are performed on the measurement path of each material in real time according to the preset cycle to form the material movement time; Perform online component analysis based on material movement time and measurement sensor structure; According to the ingredients, a corresponding recorded ingredient list is generated in real time.

2. A batching accuracy detection method as claimed in claim 1, characterized in that: The structure of the batching accuracy detection device is specifically provided as follows: The main hopper weighing sensor senses the weight loss of the main ingredients in real time, and comes with a cone-shaped weighing hopper; The auxiliary hopper weighing sensor senses the weight reduction of auxiliary ingredients in real time, and the weighing feeder operates continuously; A quantitative feeding unit is provided, which is equipped with a high torque motor, and the preset mixing ratio is always consistent, so that the mixing processing volume of the equipment is consistent with the processing volume between the processing machines; A mounting frame is provided to support the main hopper and the auxiliary hopper, and is equipped with a material guide port; Before each material enters the hopper, it is transferred through a conveyor belt, and speed and weight detection sensors are configured on the conveyor belt.

3. A batching accuracy detection method as claimed in claim 1, characterized in that: The weight detection is performed at preset intervals, specifically including: Pre-set the detection cycle; The speed and weight of the material are detected during each monitoring period and the data are fed back to the control center.

4. A method for detecting batching accuracy according to claim 1, characterized in that: The control target value and minimum threshold value for each material are set in the control center, specifically including: Set the control target value and minimum threshold for each material. If the control center value determines that the total weight of a certain material is lower than the minimum threshold, the material replenishment process will be started; In the material replenishment process, replenishment will not stop until the material proportion reaches the preset value.

5. A batching accuracy detection method as claimed in claim 1, characterized in that: The lever configuration and material movement measurement are performed on the measurement path of each material in real time according to a preset cycle to form the material movement duration, specifically including: A lever is arranged below the transmission area, and the lever is configured using the first calculation formula, the interval between the lever and the transmission area is the original force arm, and the distance between the lever and the strategy device is the equivalent force arm; The material moving time is calculated using the second calculation formula; The first calculation formula is: L1=10×L2 Among them, L1 is the equivalent force arm, and L2 is the original force arm; The second calculation formula is: T=S÷V Among them, S is the distance between the material measurement points, V is the material movement speed, and T is the material movement time.

6. A method for detecting batching accuracy according to claim 1, characterized in that: The online component analysis based on the material movement time and the measurement sensor structure specifically includes: Record the empty weight G0; Record the current weight as GL; Calculate the original weight using the third calculation formula; Calculate the real-time flow rate using the fourth calculation formula; Calculate the ingredients using the fifth calculation formula; The third calculation formula is: GY=0.1×(GL-G0) Among them, GY is the original weight; The fourth calculation formula is: WC=GY÷T Among them, WC is the real-time traffic; The fifth calculation formula is: F=WC×D÷R Wherein, F is the ingredient, WC is the real-time flow rate, D is the unit time, and R is the total capacity per unit time, which is 100 mL or 1 L. The corresponding time length under this total capacity is the unit time.

7. A batching accuracy detection method as claimed in claim 1, characterized in that: The composition table corresponding to the record is formed in real time according to the ingredients, specifically including: According to the pre-set calculation cycle, the average value of the ingredients is extracted; The average of each ingredient in that period of time is taken as its proportion in the total capacity to form an ingredient list for the corresponding period of time, and labels are printed and affixed.

8. A batching accuracy detection system, characterized in that: The system is used to implement the method according to any one of claims 1 to 7, and the system comprises: The sensor setting module is used to set the structure of the batching accuracy detection equipment; Time-division recording module, used to perform weight detection at preset intervals; The insufficient determination module is used to set the control target value and minimum threshold value for each material in the control center; The control module is used to configure the levers and measure the material movement of each material's measurement path in real time according to a preset cycle to form the material movement time; The under-detection module is used to perform online component analysis based on the material movement time and the measurement sensor structure; The molding batching module is used to form a corresponding recorded ingredient list in real time according to the ingredient composition.

9. A computer-readable storage medium storing computer program instructions, characterized in that: The computer program instructions implement the method according to any one of claims 1 to 7 when executed by a processor.

10. An electronic device comprising a memory and a processor, characterized in that: The memory is used to store one or more computer program instructions, wherein the one or more computer program instructions are executed by the processor to implement the method according to any one of claims 1-7.

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