CN116862322A - Candle production quality monitoring system and monitoring method - Google Patents

Abstract

The application provides a candle production quality monitoring system and a monitoring method, which belong to the technical field of quality monitoring, wherein the candle production quality monitoring system comprises a process monitoring system, a finished product monitoring system and a database, production monitoring data are obtained by monitoring candle production links through the process monitoring system, finished product monitoring data are obtained by monitoring candle finished product quality through the finished product monitoring system, standard production data and standard finished product data are stored through the database, the process monitoring system compares corresponding items of the production monitoring data and the standard production data, whether the production links are standard or not is judged, the finished product monitoring system compares corresponding items of the finished product monitoring data and the standard finished product data, whether the finished product is qualified or not is judged, and therefore all the production links are subjected to refined monitoring so as to quickly determine the links with problems, correct timely, reduce loss and improve the qualification rate in the finished product.

Description

Candle production quality monitoring system and monitoring method

Technical Field

The application belongs to the technical field of candle production monitoring, and particularly relates to a candle production quality monitoring system and a candle production quality monitoring method.

Background

Candles are a daily lighting tool, and modern times generally consider candles originating from the original age of firearms, and the lighting effect of candles is particularly important in cases where power has not been used in the ancient times. However, in the present day of rapid development of high technology, people do not use candles in daily life, and candles are more endowed with emotion colors, and in addition, candles are often used as an article for physical or chemical experiments. There are three general methods for making candles, one is a candle mold (plastic mold, alloy mold, sand casting mold), the other is a candle machine, and the other is a candle filling machine; the quality of the finished product of the candle and each stage in the production process of the candle need to be controlled layer by layer, so that the high-quality candle is produced.

There are many methods for monitoring production of articles such as candles, for example, patent number CN202210613956.3 discloses a industrial product production quality monitoring and analyzing system based on big data, which mainly comprises: the method comprises the steps of obtaining a three-dimensional model and an appearance image of each elbow pipe fitting to be monitored, obtaining basic characteristic parameters and appearance characteristic parameters of each elbow pipe fitting to be monitored, analyzing the accuracy of the basic characteristic parameters of each elbow pipe fitting to be monitored to conform to a proportion index and the influence proportion index of the appearance characteristic parameters, simultaneously carrying out mechanical property test on each elbow pipe fitting to be monitored to obtain mechanical property parameters of each elbow pipe fitting to be monitored, analyzing the mechanical property of each elbow pipe fitting to be monitored to conform to the proportion index, and evaluating the comprehensive production quality coefficient of each elbow pipe fitting to be monitored, so that multidimensional analysis on the production quality of the elbow pipe fitting is realized, the problems of excessively one-sided and limited existing modes are avoided, the error of the analysis result of the production quality of the elbow pipe fitting is effectively reduced, and the integral use quality of a later-stage pressure pipeline is greatly improved.

However, in practical use, the technical scheme has the technical problems that the searching problem is not rapid enough in the production process of the product and the number of unqualified products in the finished product is large.

Disclosure of Invention

The embodiment of the application provides a candle production quality monitoring system and a monitoring method, which realize the technical effects of smoother production process and higher success rate and qualification rate of products, and solve the technical problems of insufficient rapid searching problem and more unqualified products in finished products in the actual candle production process by adopting the existing quality monitoring system.

In one aspect, an embodiment of the application provides a candle production quality monitoring system, which comprises a process monitoring system, a finished product monitoring system and a database, wherein the process monitoring system and the finished product monitoring system are interacted with the database;

the process monitoring system is configured to monitor a candle production link and acquire production monitoring data, wherein the production monitoring data comprises raw material selection monitoring data, raw material proportion monitoring data, melting temperature monitoring data, sizing size monitoring data and coloring selection monitoring data;

the finished product monitoring system is configured to monitor the quality of a finished product of the candle, and acquire finished product monitoring data, wherein the finished product monitoring data comprises external monitoring data, physicochemical monitoring data and functional monitoring data;

The database is configured to store standard production data including raw material selection standard data, raw material proportioning standard data, melting temperature standard data, sizing size standard data, and coloring selection standard data, and standard finished product data including extrinsic standard data, physicochemical standard data, and functional standard data;

the process monitoring system is further configured to retrieve standard production data stored in the database, compare corresponding items of the production monitoring data and the standard production data, and judge whether a production link is standard or not;

the finished product monitoring system is further configured to retrieve standard finished product data stored in the database, compare the corresponding items of the finished product monitoring data and the standard finished product data, and judge whether the finished product is qualified or not.

In one possible implementation, the process monitoring system includes a raw material selection monitoring module, a raw material proportioning monitoring module, a melting temperature monitoring module, a sizing size monitoring module, and a coloring selection monitoring module that interact with the database, respectively:

the raw material selection monitoring module is configured to acquire raw material selection monitoring data, compare the raw material selection monitoring data with the raw material selection standard data and judge whether raw material selection is standard or not;

The raw material ratio monitoring module is configured to acquire raw material ratio monitoring data, compare the raw material ratio monitoring data with the raw material ratio standard data and judge whether the raw material ratio is standard or not;

the melting temperature monitoring module is configured to acquire melting temperature monitoring data, compare the melting temperature monitoring data with the melting temperature standard data and judge whether the melting temperature is standard or not;

the sizing monitoring module is configured to acquire sizing monitoring data, compare the sizing monitoring data with the sizing standard data and judge whether the sizing is standard or not;

the coloring selection monitoring module is configured to acquire coloring selection monitoring data, compare the coloring selection monitoring data with the coloring selection standard data and judge whether the coloring selection is standard or not.

In one possible implementation, the finished product monitoring system includes an external monitoring module, a physicochemical monitoring module, and a functional monitoring module that interact with the database, respectively;

the external monitoring module is configured to acquire external monitoring data, compare the external monitoring data with the external standard data and judge whether the external characteristics are qualified or not;

The physicochemical monitoring module is configured to acquire physicochemical monitoring data, compare the physicochemical monitoring data with the physicochemical standard data and judge whether physicochemical properties are qualified;

the function monitoring module is configured to acquire function monitoring data, compare the function monitoring data with the function standard data and judge whether the finished product function is qualified.

On the other hand, the embodiment of the application provides a monitoring method, which is applied to the candle production quality monitoring system, and comprises the following steps:

at the initial stage of production, monitoring raw material selection required by candle production, acquiring raw material selection monitoring data, comparing the raw material selection monitoring data with raw material selection standard data, and judging whether the raw material selection is standard or not; monitoring the selected raw material proportion, obtaining raw material proportion monitoring data, comparing the raw material proportion monitoring data with raw material proportion standard data, and judging whether the raw material proportion is standard or not;

in the production middle period, the melting temperature of the raw materials is monitored, melting temperature monitoring data are obtained, the melting temperature monitoring data and melting temperature standard data are compared, and whether the melting temperature is standard or not is judged; monitoring the sizing size of the product, obtaining sizing size monitoring data, comparing the sizing size monitoring data with sizing size standard data, and judging whether the sizing size is standard or not; monitoring the coloring selection of the product, obtaining coloring selection monitoring data, comparing the coloring selection monitoring data with coloring selection standard data, and judging whether the coloring selection is standard or not;

In the later production period, monitoring the external quality of the finished product, obtaining external monitoring data, comparing the external monitoring data with external standard data, and judging whether the external characteristics are qualified or not; monitoring the physicochemical properties of the product, obtaining physicochemical monitoring data, comparing the physicochemical monitoring data with physicochemical standard data, and judging whether the physicochemical properties are qualified or not; and monitoring the function of the product, acquiring function monitoring data, comparing the function monitoring data with function standard data, and judging whether the function of the finished product is qualified.

In one possible implementation, the monitoring of the raw material selection required for candle production includes:

and (3) constructing a classified monitoring model to monitor raw materials required by candle production, wherein the classified monitoring model is constructed as follows:

；

wherein ,YLrepresenting a collection of raw materials required for the production of the candles;TYrepresenting a raw material class characteristic parameter set;PSrepresenting a raw material class set obtained by calling a database;TSrepresenting and calling a characteristic set corresponding to the raw material class in the database;the output of the model, i.e. the feedstock monitoring situation, is represented.

In one possible implementation, the monitoring of the selected raw material ratios includes:

weighing and proportioning the raw materials according to a candle production formula to obtain proportioning data of each raw material;

Obtaining the allowable error of each raw material according to an empirical method and experimental verification，/>Represents the allowable error of any one raw material, +.>Represents the allowable total error,/->，/>Representing the total number of raw material types;

in the comparison and judgment, ifJudging the raw material proportioning standard;

if it isAnd judging that the raw material proportion is not standard, stopping monitoring, and outputting a monitoring result.

In one possible implementation, the monitoring of the feedstock melting temperature includes:

according to the weight, capacity and melting point of the raw materials in the raw material formula, an optimal melting point control model is constructed, and the melting sequence, the melting time of each raw material and the total time of the final integration are determined, wherein the specific process is as follows:

determining an objective function for melting point, weight/capacity, characteristic parameters, and other relevant characteristics of each feedstock, wherein TRepresenting a set of objective functions;Xa set of variables that affect the melting time of the feedstock;Crepresenting the variable correspondence coefficient matrix.

The constraints corresponding to the melting of the raw materials are:

；

wherein ,Arepresenting the constraint matrix(s),；AXa functional expression that satisfies the constraint condition is represented,Mrepresenting the number of constraint conditions;Xvariable set representing the influence of melting time, +. >，NRepresenting the number of variables;Brepresenting constraint functionsAXIs defined by a conditional threshold,/->；/>Representing the lowest threshold that all variables meet,；

the optimal melting point control model is specifically as follows:

；

；

；

wherein ,representation ofMAnd a constraint function.

In a possible implementation, the monitoring of the external quality of the finished product comprises:

a parameter acquisition model is constructed, three-dimensional model parameters of the shaped candle are acquired, and the specific parameter acquisition model is constructed as follows:

three-dimensional scanning is carried out on the shaped candles to obtain a three-dimensional image;

constructing a three-dimensional coordinate system, and placing the scanned three-dimensional image into the three-dimensional coordinate system;

cutting a stereoscopic image perpendicular to the horizontal plane, marking when encountering a model edge or a vertex, collecting coordinates of the edge or the vertex to obtain a set of coordinates of the shaped candle image, and obtaining three-dimensional model parameters of the shaped candle according to the set of coordinates;

the external standard data stored in the database are called, the external standard data comprise standard size parameters, and the three-dimensional model parameters and the standard size parameters are compared;

if the difference between the two is smaller than or equal to the preset allowable error range, judging that the size of the finished product candle is qualified;

If the difference between the two is larger than the preset allowable error range, judging that the size of the finished product candle is unqualified.

In a possible implementation, the monitoring of the external quality of the finished product further comprises:

obtaining an image of the colored candles, and obtaining actual gray values and actual gray distribution of the colored candles through image gray processing;

and calling the external standard data stored in the database to compare, and judging whether the color of the finished product candle is qualified or not.

The technical schemes provided by the embodiment of the application have at least the following technical effects or advantages:

1. according to the application, the production monitoring data are obtained through monitoring the candle production links by the process monitoring system, the production monitoring data comprise raw material selection monitoring data, raw material proportion monitoring data, melting temperature monitoring data, shaping size monitoring data and coloring selection monitoring data, the finished product monitoring data are obtained through monitoring the quality of the finished product of the candle by the finished product monitoring system, the finished product monitoring data comprise extrinsic monitoring data, physicochemical monitoring data and functional monitoring data, standard production data and standard finished product data are stored by the database, the standard production data comprise raw material selection standard data, raw material proportion standard data, melting temperature standard data, shaping size standard data and coloring selection standard data, the standard finished product data comprise extrinsic standard data, physicochemical standard data and functional standard data, the process monitoring system compares the corresponding items of the production monitoring data and the standard production data, and judges whether the finished product is qualified or not, thereby the finished product monitoring system refines the monitoring links so as to quickly determine the occurrence problem links, correct the loss timely, the qualification rate in the finished product is improved, and the current quality monitoring system is solved, and the problems of quick searching and insufficient qualification rate in the actual production process of the finished product are solved.

2. The application monitors the variety and quality of the raw materials by constructing the classification monitoring model, and simultaneously carries out contrast monitoring on the proportion of the raw materials without errors in the allowable error, thereby ensuring the accuracy of the raw material formula, laying a material foundation for the production of the product, ensuring the production process of the product to be smoother, and further improving the successful qualification rate of the product.

3. According to the application, the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing the optimal melting point control model in a simpler and more accurate way, the monitoring of the melting stage is realized, the three-dimensional model of the shaped candle is obtained by constructing the parameter obtaining model, the obtained parameters are compared with the model parameters backed up in the database, the shaping success is ensured, and meanwhile, the colored candle batch images are compared by utilizing the image gray scale comparison method, the successful coloring is determined, so that the product production process is ensured to be smoother, and the success rate and the qualification rate of the product are higher.

4. The application monitors the finished product of the product in all aspects by randomly sampling and monitoring the finished product in sensory, physicochemical and functional aspects, and ensures the quality of the finished product so as to produce the candle meeting the requirements of users.

5. The technical scheme of the application can effectively solve the technical problems of insufficient rapid searching problem and more unqualified products in finished products in the production process of the products, and the system or the method monitors the variety and quality of the raw materials by constructing a classification monitoring model, and meanwhile, the proportion of the raw materials which are monitored without errors is compared and monitored within an allowable error, thereby ensuring the accuracy of the raw material formula and laying a material foundation for the production of the products; the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing an optimal melting point control model in a simpler and more accurate mode, monitoring of the melting stage is achieved, the three-dimensional model of the shaped candle is obtained by constructing a parameter obtaining model, the obtained parameter is compared with the model parameter backed up in a database, the shaping success is ensured, meanwhile, the colored candle batch images are compared by using an image gray scale comparison method, the successful coloring is determined, the production process of the product is smoother, and the successful qualification rate of the product is further improved; finally, the finished product of the product is randomly sampled and monitored in sensory, physicochemical and functional aspects, and the finished product is monitored in all aspects, so that the quality of the finished product is ensured, and the candle meeting the requirements of users is produced.

Drawings

FIG. 1 is a block diagram of a candle production quality monitoring system according to the present application;

FIG. 2 is a flow chart of the monitoring method according to the present application.

Reference numerals illustrate:

10-a process monitoring system; 20-a finished product monitoring system; 30-a database;

11-a raw material selection monitoring module; 12-a raw material ratio monitoring module; 13-a melting temperature monitoring module; 14-sizing size monitoring module; 15-a coloring selection monitoring module; 21-an extrinsic monitoring module; 22-a physical and chemical monitoring module; 23-function monitoring module.

Detailed Description

In order to make the technical solution of the present application better understood by those skilled in the art, the technical solution of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, shall fall within the scope of the present application.

The product quality monitoring and analyzing system has the technical problems that the searching problem in the product production process is not rapid enough and the number of unqualified products in the finished product is large because the products such as candles and the like need to be comprehensively monitored in the production process and are found in practical application.

In the initial stage of production, the application monitors the raw materials required by candle production, ensures the accuracy of raw material selection, monitors the proportion of the selected raw materials, and ensures the accuracy of a production formula; in the production period, during the melting, shaping and coloring treatment of the production raw materials with accurate proportions, the melting monitoring component and the shaping monitoring component are utilized, and the coloring monitoring component monitors and treats the production process; and in the later production period, monitoring the finished product to finish monitoring the production quality of the product. The variety and quality of the raw materials are monitored by constructing a classification monitoring model, and meanwhile, the proportion of the raw materials which are monitored without errors is compared and monitored within an allowable error, so that the accuracy of the raw material formula is ensured, and a material foundation is laid for the production of products; the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing an optimal melting point control model in a simpler and more accurate mode, monitoring of the melting stage is achieved, the three-dimensional model of the shaped candle is obtained by constructing a parameter obtaining model, the obtained parameter is compared with the model parameter backed up in a database, the shaping success is ensured, meanwhile, the colored candle batch images are compared by using an image gray scale comparison method, the successful coloring is determined, the production process of the product is smoother, and the successful qualification rate of the product is further improved; finally, the finished product of the product is randomly sampled and monitored in sensory, physicochemical and functional aspects, and the finished product is monitored in all aspects, so that the quality of the finished product is ensured, and the candle meeting the requirements of users is produced.

The detailed description of the specific structure of the candle production quality monitoring system and the monitoring method provided by the application is as follows with reference to the accompanying drawings.

Embodiment one:

referring to FIG. 1, an embodiment of the present application provides a candle production quality monitoring system comprising a process monitoring system 10, a finish monitoring system 20, and a database 30, the process monitoring system 10 and the finish monitoring system 20 each interacting with the database 30;

the process monitoring system 10 is used for monitoring production links in the candle production process to improve the passing rate of monitoring finished candle products, and the process monitoring system 10 is configured for monitoring the production links of the candle production process to obtain production monitoring data, wherein the production monitoring data comprises raw material selection monitoring data, raw material proportion monitoring data, melting temperature monitoring data, sizing size monitoring data and coloring selection monitoring data;

the finished product monitoring system 20 performs spot check monitoring on the quality of finished products of candles, ensures that the produced candles meet the control standards of various national regions, and is configured to monitor the quality of finished products of candles to obtain finished product monitoring data, wherein the finished product monitoring data comprises external monitoring data, physicochemical monitoring data and functional monitoring data;

The database 30 is used for storing qualified and unqualified data information of each process product, providing comparison parameters for monitoring each monitoring component in the production process, and the database 30 is configured to store standard production data and standard finished product data, wherein the standard production data comprises raw material selection standard data, raw material proportioning standard data, melting temperature standard data, sizing size standard data and coloring selection standard data, and the standard finished product data comprises external standard data, physicochemical standard data and functional standard data;

the process monitoring system 10 is further configured to retrieve standard production data stored in the database 30, compare the corresponding items of the production monitoring data and the standard production data, and determine whether the production link is standard;

the finished product monitoring system 20 is further configured to retrieve standard finished product data stored in the database 30, compare the corresponding items of the finished product monitoring data and the standard finished product data, and determine whether the finished product is acceptable.

According to the application, the production monitoring data are obtained through the process monitoring system for monitoring the production link of the candle, the finished product monitoring data are obtained through the finished product monitoring system for monitoring the quality of the finished product of the candle, the standard production data and the standard finished product data are stored through the database, the process monitoring system compares the corresponding items of the production monitoring data and the standard production data, and judges whether the production link is standard or not, and the finished product monitoring system compares the corresponding items of the finished product monitoring data and the standard finished product data, so that whether the finished product is qualified or not is judged, and each production link is subjected to fine monitoring, so that the problem link can be determined quickly, the loss can be corrected timely, the qualification rate in the finished product can be reduced, and the problems that the existing quality monitoring system is not fast enough in searching and the defective products are more in the finished product in the actual candle production process can be solved.

In some embodiments, the process monitoring system 10 includes a feedstock selection monitoring module 11, a feedstock formulation monitoring module 12, a melt temperature monitoring module 13, a sizing monitoring module 14, and a color selection monitoring module 15 that interact with a database 30, respectively:

the raw material selection monitoring module 11 can be a spot check window or a camera, the kind and quality of actual raw materials can be determined by manual spot check or image extraction and comparison, the raw material selection monitoring module 11 performs periodic spot check on the raw materials for producing candles by class, the kind and quality of the raw materials for producing candles are ensured, so that candles with high quality meeting requirements can be produced, the raw materials which are monitored without errors are proportioned, the raw material selection monitoring module 11 is configured to acquire raw material selection monitoring data, and the raw material selection monitoring data and the raw material selection standard data are compared to judge whether the raw material selection is standard or not;

the raw material ratio monitoring module 12 may be a conventional analysis and assay device or an electronic scale, and may determine various raw material ratios, where the raw material ratio monitoring module 12 monitors raw materials required for a produced candle and preparation of the raw materials in the ratio and production process, ensures accuracy of raw material ratio of the candle, performs melt processing on the raw materials after the ratio is completed, and the raw material ratio monitoring module 12 is configured to obtain raw material ratio monitoring data, compare the raw material ratio monitoring data with raw material ratio standard data, and determine whether the raw material ratio is standard;

The melting temperature monitoring module 13 may be a conventional temperature sensor, and the melting temperature monitoring module 13 monitors the melting temperature during the melting process to ensure that the raw materials required by the production of the candles can be sufficiently melted together, the raw materials after the melting process are subjected to shaping treatment, and the melting temperature monitoring module 13 is configured to obtain melting temperature monitoring data, compare the melting temperature monitoring data with melting temperature standard data and judge whether the melting temperature is standard or not;

the shaping size monitoring module 14 may be a laser scanning device, and may obtain the physical size and shape of the shaped candle, where the shaping size monitoring module 14 selects a suitable mold to shape the candle according to the user requirement in the shaping treatment process, ensures that the candle meets the required shape, performs the coloring treatment on the candle after shaping, and the shaping size monitoring module 14 is configured to obtain shaping size monitoring data, compare the shaping size monitoring data with shaping size standard data, and determine whether the shaping size is standard;

the coloring selection monitoring module 15 may be a camera or a color sensor, the coloring selection monitoring module 15 performs coloring monitoring on the shaped candles to ensure that the colored candles are in a color meeting the requirements of clients, and the coloring selection monitoring module 15 is configured to obtain coloring selection monitoring data, compare the coloring selection monitoring data with coloring selection standard data, and judge whether the coloring selection is standard or not.

In some embodiments, the finished product monitoring system 20 includes an extrinsic monitoring module 21, a physicochemical monitoring module 22, and a functional monitoring module 23 that interact with the database 30, respectively;

the external monitoring module 21 comprises a camera, an odor sensor, a color sensor and the like, the coloring selection monitoring module 15 can also be an artificial detection window, the appearance quality, the odor, the color and the like of the candle can be automatically identified or manually identified through equipment, the external monitoring module 21 mainly monitors that the content comprises appearance (visual inspection), odor (nasal smell) and color (visual inspection), the external monitoring module 21 is configured to acquire external monitoring data, and compare the external monitoring data with external standard data to judge whether the external characteristics are qualified or not;

the physicochemical monitoring module 22 may be a manual test window, and the main monitoring content includes the exposed length of the wax core, the melting point, the thermal stability, the combustion afterglow, the light stability, the weight and other physicochemical properties, and the physicochemical monitoring module 22 is configured to obtain the physicochemical monitoring data, compare the physicochemical monitoring data with the physicochemical standard data, and determine whether the physicochemical properties are qualified;

the function monitoring module 23 may also be an artificial test window, and the main monitoring content includes the candle functionality specifically required by the user for monitoring, the functionality includes the fragrance, the color flame, the aromatherapy, the water float color light, the music lighting, the crystal jelly and other functions, and the function monitoring module 23 is configured to obtain the function monitoring data, compare the function monitoring data with the function standard data, and determine whether the finished product function is qualified.

Embodiment two:

referring to fig. 2, an embodiment of the present application provides a monitoring method, where the monitoring method is applied to the above-mentioned candle production quality monitoring system, and the monitoring method includes:

s1: at the initial stage of production, monitoring raw material selection required by candle production, acquiring raw material selection monitoring data, comparing the raw material selection monitoring data with raw material selection standard data, and judging whether the raw material selection is standard or not; monitoring the selected raw material proportion, obtaining raw material proportion monitoring data, comparing the raw material proportion monitoring data with raw material proportion standard data, and judging whether the raw material proportion is standard or not;

s2: in the production middle period, the melting temperature of the raw materials is monitored, melting temperature monitoring data are obtained, the melting temperature monitoring data and melting temperature standard data are compared, and whether the melting temperature is standard or not is judged; monitoring the sizing size of the product, obtaining sizing size monitoring data, comparing the sizing size monitoring data with sizing size standard data, and judging whether the sizing size is standard or not; monitoring the coloring selection of the product, obtaining coloring selection monitoring data, comparing the coloring selection monitoring data with coloring selection standard data, and judging whether the coloring selection is standard or not;

S3: in the later production period, monitoring the external quality of the finished product, obtaining external monitoring data, comparing the external monitoring data with external standard data, and judging whether the external characteristics are qualified or not; monitoring the physicochemical properties of the product, obtaining physicochemical monitoring data, comparing the physicochemical monitoring data with physicochemical standard data, and judging whether the physicochemical properties are qualified or not; and monitoring the function of the product, acquiring function monitoring data, comparing the function monitoring data with function standard data, and judging whether the function of the finished product is qualified.

S1, monitoring the initial stage of candle production, which specifically comprises the following steps:

s11, monitoring raw materials required by candle production in the initial stage of production, ensuring the quality of the raw materials, and laying a foundation for smooth production of candles;

in the early stage of candle production, the selection of the correct raw materials is particularly important, and a foundation is laid for the smooth production of candles.

；

Wherein YL represents a collection of raw materials required for candle production; TY represents a raw material class characteristic parameter set; PS represents a raw material class set obtained by calling a database; TS represents a characteristic set corresponding to the raw material class in the calling database; The output of the model, i.e. the feedstock monitoring situation, is represented.

The model is concretely realized as follows: obtaining the type of the required candle according to the requirements of the customer, obtaining the type of the required raw material according to the type of the candle, calling the type of the raw material required by the backup production in the database for content comparison, and directly terminating monitoring and outputting the monitoring result if the comparison type is missing or redundant; monitoring the deficiency/various kinds of raw materials; performing modification remedy by workers; after the comparison of the raw material types is correct, the content comparison is carried out according to the raw material type characteristic set and the corresponding raw material type set in the database, the raw material type characteristic grade is determined, whether the raw material characteristics meet the requirements to ensure the correctness of the types is determined according to the grade requirements, budget requirements and other requirements which are agreed in advance, if the raw material characteristics meet the requirements, the normal operation of the next step in the candle production process is further carried out, if the raw material characteristics do not meet the requirements, the monitoring is directly stopped, the monitoring result is output, and the worker remedies; the monitoring result is that the quality of the raw materials is not consistent, and the raw materials need to be verified.

Particularly, when the types and the quality of raw materials are monitored, the candle production process is not compared in real time, but spot check is performed regularly, so that the normal operation of a candle production system is ensured.

S12, selecting raw materials with composite production requirements according to customer requirements, and monitoring the production proportion of the raw materials;

wax is carried out without error in the raw material monitoring assemblyThe monitoring of the next link of candle production, namely raw material proportion monitoring, is carried out contrast monitoring within the allowable error range, and the specific process is as follows: according to the candle production formula, weighing and proportioning the raw materials to obtain proportioning data of each raw material, and obtaining allowable error of each raw material according to an empirical method and experimental verification，Represents the allowable error of any one raw material, +.>，/>Indicating the total number of raw material types, when comparing item by itemWhen the method is used, the next link is monitored without error, if +.>The monitoring is stopped, the monitoring result is output, the monitoring result is whether the raw material proportion exists or not, staff performs item-by-item comparison monitoring on the proportion of each raw material, and the situation that the raw material proportion exists is determined; />Indicating the total allowable error.

The application monitors the variety and quality of the raw materials by constructing the classification monitoring model, and simultaneously carries out contrast monitoring on the proportion of the raw materials without errors in the allowable error, thereby ensuring the accuracy of the raw material formula, laying a material foundation for the production of the product, ensuring the production process of the product to be smoother, and further improving the successful qualification rate of the product.

S2, monitoring the middle period of candle production, which specifically comprises the following steps:

s21, carrying out melting treatment on the proportioned raw materials, and monitoring the melting process by utilizing an optimal melting point control method according to the melting characteristics of each raw material to ensure that each raw material is fully melted and all the raw materials are integrated;

when the production raw materials are melted in the candle production system, progressive melting treatment is carried out according to the melting points of the raw materials, an optimal melting point control model is constructed according to the weight/capacity and the melting points of the raw materials in a raw material formula in a melting monitoring assembly, and the melting sequence, the melting time of the raw materials and the total time of the final integration are accurately determined, wherein the method comprises the following specific steps:

determining an objective function for melting point, weight/capacity, characteristic parameters, and other relevant characteristics of each feedstock, wherein TRepresenting a set of objective functions;Xa set of variables that affect the melting time of the feedstock;Crepresenting the variable correspondence coefficient matrix.

The constraints corresponding to the melting of the raw materials are:

；

wherein ,Arepresenting the constraint matrix(s),；AXa functional expression that satisfies the constraint condition is represented,Mrepresenting the number of constraint conditions;Xvariable set representing the influence of melting time, +. >，NRepresenting the number of variables;Brepresenting constraint functionsAXIs defined by a conditional threshold,/->；/>Representing the lowest threshold that all variables meet,。

further, the optimal melting point control model for melting the specific production raw materials is specifically as follows:

；

；

；

wherein ,representation ofMAnd a constraint function.

Further, when solving the optimal solution, the model is regarded as solving a multi-element equation set, and the constraint matrix is calculatedAThe conjugate symmetry of the matrix is utilized for simplifying processing, the equivalent simple form of solving the equation set is obtained through decomposing the constraint matrix, and the solution of the multi-element equation set is further obtained, namely, the optimal melting control point, the control time, the control temperature and other control parameters of each raw material of the production candle, and the control points are monitoring points and optimal monitoring values.

And monitoring the melting link according to the monitoring point, if all the monitoring points meet the optimal monitoring value, carrying out the next link, if not, stopping monitoring, outputting a monitoring report, and correcting and modifying by staff when the monitoring report contains the melting stage which does not meet the optimal monitoring value.

S22, shaping and coloring the melted raw materials, and monitoring the process by using a shaping monitoring assembly and a coloring monitoring assembly to ensure the smooth operation of the production process;

When the method monitors the shaped raw materials after the melted raw materials are shaped, parameters of the shaped candle three-dimensional model are firstly obtained by constructing a parameter obtaining model, and the specific model is constructed as follows:

firstly, carrying out three-dimensional scanning on a shaped candle by utilizing the prior art to obtain a three-dimensional image, further constructing a three-dimensional coordinate system, and placing the three-dimensional image obtained by scanning into the three-dimensional coordinate system;

then, cutting the stereoscopic image perpendicularly to the horizontal plane, marking when encountering the edge or the vertex of the model, collecting the coordinates of the edge or the vertex to obtain a set of coordinates of the shaped candle image, and obtaining parameters of the shaped candle three-dimensional model according to the set of coordinates;

finally, taking the external standard data stored in the database 30 in consideration of various error allowable ranges, wherein the external standard data comprises standard size parameters, comparing the three-dimensional model parameters with the standard size parameters to obtain a monitoring result, judging that the size of the finished product candle is qualified if the errors of all model parameters are in the allowable ranges after comparison with the database, monitoring in the next link, judging that the size of the finished product candle is unqualified if the errors are out of the allowable error ranges, terminating the monitoring, outputting a monitoring report, marking the finished product after shaping as the monitoring report does not meet the requirements of customers, and carrying out finished product modification operation or shaping machine re-shaping by staff.

Further, the colored candles are subjected to image acquisition, gray values and gray distribution of the colored candles are obtained after image gray processing, and meanwhile, corresponding color gray levels or gray sets in a database are called for comparison according to the colors required by customers, so that the colored ring segments are monitored; the specific implementation process is as follows:

firstly, acquiring an image of a colored candle, and carrying out weighted average treatment on the acquired image to obtain a grey-scale treated image, so that the image is clearer; further, contrast stretching is performed on the image after gray scale processing, namely, piecewise adjustment is performed on gray scale areas with different gray scale values by using a linear function. The contrast stretching is mainly used for improving the size range of gray values in image processing, so that the gray value of an original image is expanded to be in the whole gray level range, namely 0-255; in detail, any point in the original image is definedThe gray scale of (2) is h, the interval of gray scale values is +.>The converted image gray value is d, and the converted gray interval range is [0, 255]The gray value in the original gray image after the contrast is stretched isThe desired gray value at is +.>The gray value in the original gray image is +. >The desired gray value at is +.>The linear transformation function expression of the contrast stretch curve is:

；

the image is stretched more clearly, noise of an invalid part is reduced, more accurate gray scale or gray scale set of the colored candles is obtained, the gray scale or gray scale set of the corresponding color in the database is called for comparison according to the color required by a customer, and if the gray scale or gray scale set completely meets the requirement, the next link monitoring is carried out; if the gray level or gray level set is inconsistent, the monitoring is stopped, the monitoring result is output, the color is inconsistent with the requirement of the customer, and the staff is used for carrying out color mixing and re-coloring or coordinating with the customer.

In particular, during shaping and coloring monitoring, certain errors can exist according to specific practical conditions.

According to the application, the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing the optimal melting point control model in a simpler and more accurate way, the monitoring of the melting stage is realized, the three-dimensional model of the shaped candle is obtained by constructing the parameter obtaining model, the obtained parameters are compared with the model parameters backed up in the database, the shaping success is ensured, and meanwhile, the colored candle batch images are compared by utilizing the image gray scale comparison method, the successful coloring is determined, so that the product production process is ensured to be smoother, and the success rate and the qualification rate of the product are higher.

And S3, monitoring the finished product to finish monitoring the production quality of the product in the later production period.

After the batch production of candles is finished, randomly sampling and monitoring batch finished products, firstly, monitoring by using a sensory monitoring assembly and a physicochemical monitoring assembly to ensure that the candle finished products meet the preliminary requirements; sensory monitoring, namely visually inspecting the appearance of the finished product among workers, smelling the smell of the finished product, and visually inspecting the color of the finished product; physicochemical monitoring the exposed length, melting point, thermal stability, combustion afterglow, light stability, weight and other physicochemical properties of the wax core are monitored by staff through experimental measurement; after primary monitoring of finished products, monitoring of final finished products is carried out by utilizing a functional monitoring assembly, the quality of the finished products is determined, and monitoring of the production quality of candles is completed; functional monitoring, the practical (visual inspection, ignition, nasal sniffing, etc.) monitoring of the specific functional characteristics of the finished product is performed by the staff.

The technical scheme in the embodiment of the application has at least the following technical effects or advantages:

1. the application monitors the variety and quality of the raw materials by constructing the classification monitoring model, and simultaneously carries out contrast monitoring on the proportion of the raw materials without errors in the allowable error, thereby ensuring the accuracy of the raw material formula, laying a material foundation for the production of the product, ensuring the production process of the product to be smoother, and further improving the successful qualification rate of the product.

2. According to the application, the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing the optimal melting point control model in a simpler and more accurate way, the monitoring of the melting stage is realized, the three-dimensional model of the shaped candle is obtained by constructing the parameter obtaining model, the obtained parameters are compared with the model parameters backed up in the database, the shaping success is ensured, and meanwhile, the colored candle batch images are compared by utilizing the image gray scale comparison method, the successful coloring is determined, so that the product production process is ensured to be smoother, and the success rate and the qualification rate of the product are higher.

3. The application monitors the finished product of the product in all aspects by randomly sampling and monitoring the finished product in sensory, physicochemical and functional aspects, and ensures the quality of the finished product so as to produce the candle meeting the requirements of users.

The technical scheme of the application can effectively solve the technical problems of insufficient rapid searching problem and more unqualified products in finished products in the production process of the products, and the system or the method monitors the variety and quality of the raw materials by constructing a classification monitoring model, and meanwhile, the proportion of the raw materials which are monitored without errors is compared and monitored within an allowable error, thereby ensuring the accuracy of the raw material formula and laying a material foundation for the production of the products; the optimal monitoring/control point and the optimal monitoring value of the melting process are obtained by constructing an optimal melting point control model in a simpler and more accurate mode, monitoring of the melting stage is achieved, the three-dimensional model of the shaped candle is obtained by constructing a parameter obtaining model, the obtained parameter is compared with the model parameter backed up in a database, the shaping success is ensured, meanwhile, the colored candle batch images are compared by using an image gray scale comparison method, the successful coloring is determined, the production process of the product is smoother, and the successful qualification rate of the product is further improved; finally, the finished product of the product is randomly sampled and monitored in sensory, physicochemical and functional aspects, and the finished product is monitored in all aspects, so that the quality of the finished product is ensured, and the candle meeting the requirements of users is produced.

It is to be understood that, based on the several embodiments provided in the present application, those skilled in the art may combine, split, reorganize, etc. the embodiments of the present application to obtain other embodiments, which all do not exceed the protection scope of the present application.

The foregoing detailed description of the embodiments of the present application further illustrates the purposes, technical solutions and advantageous effects of the embodiments of the present application, and it should be understood that the foregoing is merely a specific implementation of the embodiments of the present application, and is not intended to limit the scope of the embodiments of the present application, and any modifications, equivalent substitutions, improvements, etc. made on the basis of the technical solutions of the embodiments of the present application should be included in the scope of the embodiments of the present application.

Claims (9)

1. A candle production quality monitoring system, characterized in that: comprises a process monitoring system (10), a finished product monitoring system (20) and a database (30), wherein the process monitoring system (10) and the finished product monitoring system (20) are interacted with the database (30);

the process monitoring system (10) is configured to monitor a candle production link, and obtain production monitoring data, wherein the production monitoring data comprises raw material selection monitoring data, raw material proportion monitoring data, melting temperature monitoring data, sizing size monitoring data and coloring selection monitoring data;

The finished product monitoring system (20) is configured to monitor the quality of a finished product of the candle, and acquire finished product monitoring data, wherein the finished product monitoring data comprises external monitoring data, physicochemical monitoring data and functional monitoring data;

the database (30) is configured to store standard production data including raw material selection standard data, raw material proportioning standard data, melting temperature standard data, sizing size standard data, and coloring selection standard data, and standard finished product data including extrinsic standard data, physicochemical standard data, and functional standard data;

the process monitoring system (10) is further configured to retrieve standard production data stored in the database (30), compare the corresponding items of the production monitoring data and the standard production data, and determine whether a production link is standard;

the finished product monitoring system (20) is further configured to retrieve standard finished product data stored in the database (30), compare the corresponding items of the finished product monitoring data and the standard finished product data, and judge whether the finished product is qualified or not.

2. The candle production quality monitoring system of claim 1, wherein: the process monitoring system (10) comprises a raw material selection monitoring module (11), a raw material proportioning monitoring module (12), a melting temperature monitoring module (13), a sizing size monitoring module (14) and a coloring selection monitoring module (15), which are respectively interacted with the database (30):

The raw material selection monitoring module (11) is configured to acquire raw material selection monitoring data, and compare the raw material selection monitoring data with the raw material selection standard data to judge whether raw material selection is standard or not;

the raw material ratio monitoring module (12) is configured to acquire raw material ratio monitoring data, compare the raw material ratio monitoring data with the raw material ratio standard data, and judge whether the raw material ratio is standard or not;

the melting temperature monitoring module (13) is configured to acquire melting temperature monitoring data, compare the melting temperature monitoring data with the melting temperature standard data and judge whether the melting temperature is standard or not;

the sizing monitoring module (14) is configured to acquire sizing monitoring data, compare the sizing monitoring data with the sizing standard data and judge whether the sizing is standard or not;

the coloring selection monitoring module (15) is configured to acquire coloring selection monitoring data, and compare the coloring selection monitoring data with the coloring selection standard data to judge whether the coloring selection is standard or not.

3. The candle production quality monitoring system of claim 1 or 2, wherein: the finished product monitoring system (20) comprises an external monitoring module (21), a physicochemical monitoring module (22) and a functional monitoring module (23) which are respectively interacted with the database (30);

The external monitoring module (21) is configured to acquire external monitoring data, compare the external monitoring data with the external standard data and judge whether external characteristics are qualified or not;

the physicochemical monitoring module (22) is configured to acquire physicochemical monitoring data, compare the physicochemical monitoring data with the physicochemical standard data, and judge whether physicochemical properties are qualified;

the function monitoring module (23) is configured to acquire function monitoring data, compare the function monitoring data with the function standard data and judge whether the finished product function is qualified.

4. A method of monitoring, characterized by: the monitoring method is applied to the candle production quality monitoring system of any of claims 1-3, the monitoring method comprising;

at the initial stage of production, monitoring raw material selection required by candle production, acquiring raw material selection monitoring data, comparing the raw material selection monitoring data with raw material selection standard data, and judging whether the raw material selection is standard or not; monitoring the selected raw material proportion, obtaining raw material proportion monitoring data, comparing the raw material proportion monitoring data with raw material proportion standard data, and judging whether the raw material proportion is standard or not;

In the production middle period, the melting temperature of the raw materials is monitored, melting temperature monitoring data are obtained, the melting temperature monitoring data and melting temperature standard data are compared, and whether the melting temperature is standard or not is judged; monitoring the sizing size of the product, obtaining sizing size monitoring data, comparing the sizing size monitoring data with sizing size standard data, and judging whether the sizing size is standard or not; monitoring the coloring selection of the product, obtaining coloring selection monitoring data, comparing the coloring selection monitoring data with coloring selection standard data, and judging whether the coloring selection is standard or not;

in the later production period, monitoring the external quality of the finished product, obtaining external monitoring data, comparing the external monitoring data with external standard data, and judging whether the external characteristics are qualified or not; monitoring the physicochemical properties of the product, obtaining physicochemical monitoring data, comparing the physicochemical monitoring data with physicochemical standard data, and judging whether the physicochemical properties are qualified or not; and monitoring the function of the product, acquiring function monitoring data, comparing the function monitoring data with function standard data, and judging whether the function of the finished product is qualified.

5. The method of monitoring according to claim 4, wherein: the monitoring of the raw material selection required for candle production includes:

And (3) constructing a classified monitoring model to monitor raw materials required by candle production, wherein the classified monitoring model is constructed as follows:

；

wherein ,YLrepresenting a collection of raw materials required for the production of the candles;TYrepresenting a raw material class characteristic parameter set;PSrepresenting a raw material class set obtained by calling a database;TSrepresenting and calling a characteristic set corresponding to the raw material class in the database;the output of the model, i.e. the feedstock monitoring situation, is represented.

6. The method of monitoring according to claim 4, wherein: the monitoring of the selected raw material proportion comprises the following steps:

weighing and proportioning the raw materials according to a candle production formula to obtain proportioning data of each raw material;

obtaining the allowable error of each raw material according to an empirical method and experimental verification，/>Represents the allowable error of any one raw material, +.>Represents the allowable total error,/->，/>Representing the total number of raw material types;

in the comparison and judgment, ifJudging the raw material proportioning standard;

if it isAnd judging that the raw material proportion is not standard, stopping monitoring, and outputting a monitoring result.

7. The method of monitoring according to claim 4, wherein: the monitoring of the raw material melting temperature comprises:

according to the weight, capacity and melting point of the raw materials in the raw material formula, an optimal melting point control model is constructed, and the melting sequence, the melting time of each raw material and the total time of the final integration are determined, wherein the specific process is as follows:

Determining an objective function for melting point, weight/capacity, characteristic parameters, and other relevant characteristics of each feedstock, wherein TRepresenting a set of objective functions;Xa set of variables that affect the melting time of the feedstock;Crepresenting a variable corresponding coefficient matrix;

the constraints corresponding to the melting of the raw materials are:

；

wherein ,Arepresenting the constraint matrix(s),；AXa functional expression that satisfies the constraint condition is represented,Mrepresenting the number of constraint conditions;Xvariable indicating influence on melting timeCollect (I) of>，NRepresenting the number of variables;Brepresenting constraint functionsAXIs defined by a conditional threshold,/->；/>Representing the lowest threshold that all variables meet,；

the optimal melting point control model is specifically as follows:

；

；

；

wherein ,representation ofMAnd a constraint function.

8. The method of monitoring according to claim 4, wherein: the monitoring of the external quality of the finished product comprises the following steps:

a parameter acquisition model is constructed, three-dimensional model parameters of the shaped candle are acquired, and the specific parameter acquisition model is constructed as follows:

three-dimensional scanning is carried out on the shaped candles to obtain a three-dimensional image;

constructing a three-dimensional coordinate system, and placing the scanned three-dimensional image into the three-dimensional coordinate system;

cutting a stereoscopic image perpendicular to the horizontal plane, marking when encountering a model edge or a vertex, collecting coordinates of the edge or the vertex to obtain a set of coordinates of the shaped candle image, and obtaining three-dimensional model parameters of the shaped candle according to the set of coordinates;

The external standard data stored in the database are called, the external standard data comprise standard size parameters, and the three-dimensional model parameters and the standard size parameters are compared;

if the difference between the two is smaller than or equal to the preset allowable error range, judging that the size of the finished product candle is qualified;

if the difference between the two is larger than the preset allowable error range, judging that the size of the finished product candle is unqualified.

9. The method of monitoring according to claim 8, wherein: the monitoring of the external quality of the finished product further comprises:

obtaining an image of the colored candles, and obtaining actual gray values and actual gray distribution of the colored candles through image gray processing;

and calling the external standard data stored in the database to compare, and judging whether the color of the finished product candle is qualified or not.