Multicolor quartz stone plate production feeding system

Abstract

The application belongs to the technical field of plate production management, and specifically relates to a multi-color quartz stone plate production feeding system, which comprises a formula input module, a feeding control module, a raw material input monitoring module, a proportioning precision analysis module, a raw material mixing evaluation module and a feeding management center; the formula input module is used for sending a raw material formula to the feeding control module; the feeding control module is used for controlling the automatic conveying of various types of raw materials based on the raw material formula; after the conveying of various raw materials is completed, the proportioning precision of the raw materials is analyzed; when a high-precision proportioning signal is generated, the feeding control module is used to start and operate the stirrer; when the stirring is completed, the materials at a plurality of positions in the stirrer are sampled and detected, and the raw material mixing effect is accurately evaluated, which is favorable for reducing the adverse effects on the quality of the produced quartz stone plate, significantly reducing the operation and management difficulty of the management personnel, and being high in automation and intelligentization.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of plate production management, and particularly relates to a multi-color quartz stone plate production feeding system. BACKGROUND

[0002] The quartz stone plate is a new type of stone material artificially synthesized by more than 80% of quartz crystals, resins and other trace elements, which is mainly pressed under certain physical and chemical conditions by special machines, can be made into large-sized plates, and can be customized and cut into different specifications and styles according to customer's requirements. With the development of stone processing industry, the multi-color quartz stone plate is favored by the market due to its unique decorative effect and durability.

[0003] At present, in the production process of the multi-color quartz stone plate, various raw materials required are conveyed to the mixer according to the corresponding weight ratio for stirring to realize feeding according to the production requirements. However, in the actual application process, it is difficult to realize automatic control of feeding and accurately evaluate the accuracy of raw material ratio and the mixing effect of raw materials, and it is impossible to reasonably judge the operation performance of the corresponding stirring and mixing process when the mixing effect of the raw materials is good, which is not conducive to guarantee the quality of the produced quartz stone plate and reduce the operation and management difficulty, and the automation and intelligent degree is low.

[0004] In view of the above technical defects, a solution is proposed. SUMMARY

[0005] The present application aims to provide a multi-color quartz stone plate production feeding system, which solves the problem that the prior art is difficult to realize automatic control of feeding and accurately evaluate the accuracy of raw material ratio and the mixing effect of raw materials, and it is impossible to reasonably judge the operation performance of the corresponding stirring and mixing process when the mixing effect of the raw materials is good, which is not conducive to guarantee the quality of the quartz stone plate and reduce the operation and management difficulty, and the automation and intelligent degree is low.

[0006] To achieve the above-mentioned purpose, the present application provides the following technical scheme:

[0007] A multi-color quartz stone plate production feeding system, comprising a formula input module, a feeding control module, a raw material input monitoring module, a ratio accuracy analysis module, a raw material mixing evaluation module and a feeding management center; the management personnel determines the raw material formula based on the information of the quartz stone plate required to be produced, inputs the raw material formula through the formula input module, and the formula input module sends the raw material formula to the feeding control module; the feeding control module obtains the required raw materials based on the raw material formula, controls the valve of the corresponding raw material warehouse to open, and conveys the corresponding raw materials to the mixer;

[0008] After the delivery of various raw materials is completed, the raw material input monitoring module sends the delivery amount of various raw materials to the proportioning accuracy analysis module, the proportioning accuracy analysis module analyzes the raw material proportioning accuracy, generates a high-proportioning-accuracy signal or a low-proportioning-accuracy signal through analysis, and when the high-proportioning-accuracy signal is generated, the mixer is started and operated through the feed control module, and when the low-proportioning-accuracy signal is generated, the feed management center is warned;

[0009] When the stirring of the mixer for various raw materials is completed, the raw material mixing evaluation module samples and detects the materials at several positions in the mixer, evaluates and analyzes the raw material mixing effect based on the detection results, generates a mixing-efficiency signal or a mixing-efficiency signal through analysis, and sends the mixing-efficiency signal or the mixing-efficiency signal to the feed management center. When the feed management center receives the mixing-efficiency signal, it issues a corresponding warning.

[0010] Further, the specific analysis process of the proportioning accuracy analysis module is as follows:

[0011] After obtaining the delivery amount of the corresponding raw material, the delivery amount of the corresponding raw material is difference calculated with the corresponding set standard delivery amount and the absolute value is taken to obtain the delivery deviation value. The delivery deviation value is compared with the corresponding preset delivery deviation threshold value. If the delivery deviation value exceeds the corresponding preset delivery deviation threshold value, the corresponding type of raw material is marked as an abnormal delivery raw material. If there is an abnormal delivery raw material, a low-proportioning-accuracy signal is generated.

[0012] Further, if there is no abnormal delivery raw material, a set of preset quality influence weight values corresponding to each raw material is set in advance. The ratio of the delivery deviation value of the corresponding raw material to the corresponding preset delivery deviation threshold value is marked as a delivery deviation value. The delivery deviation value is multiplied by the corresponding preset quality influence weight value to obtain a delivery abnormal risk value.

[0013] The delivery abnormal risk values of all types of raw materials to be delivered are summed to obtain a proportioning accuracy influence coefficient. The proportioning accuracy influence coefficient is compared with the corresponding preset proportioning accuracy influence coefficient threshold value. If the proportioning accuracy influence coefficient exceeds the corresponding preset proportioning accuracy influence coefficient threshold value, a low-proportioning-accuracy signal is generated. If the proportioning accuracy influence coefficient does not exceed the corresponding preset proportioning accuracy influence coefficient threshold value, a high-proportioning-accuracy signal is generated.

[0014] Further, the specific analysis process of the raw material mixing effect evaluation analysis is as follows:

[0015] The content percentage data of the corresponding type of raw material at each position is obtained, the content percentage data of the corresponding type of raw material at each position is subjected to variance calculation to obtain a dispersion disorder value, and the content percentage data is compared with the corresponding preset content percentage data range. If the content percentage data is not within the corresponding preset content percentage data range, the corresponding position is marked as a bias position of the corresponding type of raw material.

[0016] The number of bias positions corresponding to the corresponding type of raw material is obtained and is subjected to ratio calculation with the total number of positions for sampling detection to obtain a bias performance value, and the deviation value of the content percentage data of the bias position from the corresponding preset content percentage data range is marked as a bias degree value. The bias degree value corresponding to the corresponding type of raw material with the largest value is marked as a bias amplitude value.

[0017] The raw material fusion coefficient is obtained by numerically calculating the dispersion disorder value, the bias performance value, and the bias amplitude value. The raw material fusion coefficient is numerically compared with the corresponding preset raw material fusion coefficient threshold value. If the raw material fusion coefficient exceeds the corresponding preset raw material fusion coefficient threshold value, the corresponding type of raw material is marked as a fusion abnormal raw material. If there is a fusion abnormal raw material, a mixed efficiency abnormal signal is generated. If there is no fusion abnormal raw material, a mixed efficiency optimal signal is generated.

[0018] Further, the raw material mixing evaluation module is communicatively connected to the mixed operation judgment module. The raw material mixing evaluation module sends the mixed efficiency optimal signal to the mixed operation judgment module. When the mixed operation judgment module receives the mixed efficiency optimal signal, the corresponding mixing process of the mixer is subjected to mixed performance comprehensive analysis. The mixed operation qualified signal or the mixed operation alarm signal is generated by the analysis, and the mixed operation qualified signal or the mixed operation alarm signal is sent to the feeding management center. When the feeding management center receives the mixed operation alarm signal, the corresponding early warning is issued.

[0019] Further, the specific analysis process of the mixed performance comprehensive analysis includes:

[0020] The number of times of the mixed monitoring symbol YL-1 in the corresponding mixing process is obtained and is marked as a mixed monitoring abnormal value. The mean value of all mixed monitoring values in the corresponding mixing process is calculated to obtain a mixed monitoring table value. The largest mixed monitoring value in the corresponding mixing process is marked as a mixed abnormal amplitude value.

[0021] The mixed table evaluation value is obtained by numerically calculating the mixed monitoring abnormal value, the mixed monitoring table value, and the mixed abnormal amplitude value. The mixed table evaluation value is numerically compared with the corresponding preset mixed table evaluation threshold value. If the mixed table evaluation value exceeds the corresponding preset mixed table evaluation threshold value, the mixed operation alarm signal is generated. If the mixed table evaluation value does not exceed the corresponding preset mixed table evaluation threshold value, the mixed operation qualified signal is generated.

[0022] Further, the mixed operation judgment module is in communication connection with a mixed monitoring and analyzing module, the mixed monitoring and analyzing module performs real-time monitoring on the mixing process of the mixer, collects the stirring speed and stirring temperature inside the mixer, marks the deviation value of the stirring speed compared with the set standard stirring speed as a stirring speed control deviation value, and marks the deviation value of the stirring temperature compared with the set standard stirring temperature as a stirring temperature control deviation value;

[0023] and collects the shaking amplitude of the mixer and marks it as a stirring shaking amplitude value, obtains a mixed monitoring value by performing numerical calculation on the stirring speed control deviation value, the stirring temperature control deviation value and the stirring shaking amplitude value, performs numerical comparison on the mixed monitoring value and a preset mixed monitoring threshold value, if the mixed monitoring value exceeds the preset mixed monitoring threshold value, a mixed monitoring symbol YL-1 is given, and the mixed monitoring symbol YL-1 and all mixed monitoring values in the corresponding mixed process are sent to the mixed operation judgment module.

[0024] Further, the supply management center is in communication connection with an operation control management decision module, the operation control management decision module is used for setting a management period with a number of days Q1, when the number of days reaches Q1, the automatic control performance of the supply for the quartz stone plate production in the management period is evaluated and analyzed, a supply operation control qualified signal or a supply operation control alarm signal is generated through the analysis, and the supply operation control qualified signal or the supply operation control alarm signal is sent to the supply management center, when the supply operation control alarm signal is received by the supply management center, a corresponding early warning is given.

[0025] Further, the specific analysis process of the operation control management decision module is as follows:

[0026] The control delay time length of the supply control module for all the storage bin valves in the management period is obtained, and all the control delay time lengths are subjected to mean value calculation to obtain a valve control delay value; the number of times of generation of the low precision signal of proportioning in the management period is obtained and subjected to ratio calculation with the total number of proportioning to obtain a proportioning precision deviation detection value, and the number of the mixing processes corresponding to the mixing deviation signal or the mixing operation alarm signal in the management period is obtained and subjected to ratio calculation with the total number of mixing to obtain a mixing operation deviation detection value;

[0027] The operation control management decision value is obtained by performing numerical calculation on the valve control delay value, the proportioning precision deviation detection value and the mixing operation deviation detection value, numerical comparison is performed on the operation control management decision value and a preset operation control management decision threshold value, if the operation control management decision value exceeds the preset operation control management decision threshold value, the supply operation control alarm signal is generated; if the operation control management decision value does not exceed the preset operation control management decision threshold value, the supply operation control qualified signal is generated.

[0028] Compared with the prior art, the beneficial effects of the present application are:

[0029] 1. In this invention, the raw material formula is sent to the feeding control module through the formula input module. The feeding control module controls the automatic feeding of various raw materials based on the raw material formula. After the feeding of various raw materials is completed, the accuracy of the raw material ratio is analyzed. When a high-precision ratio signal is generated, the feeding control module starts the mixer. At the end of the mixing, the mixing effect of the raw materials is accurately evaluated and a warning is given in time. This helps to ensure the quality of the produced quartz stone slabs and reduce the difficulty of operation and management. The degree of automation and intelligence is high.

[0030] 2. In this invention, the mixing operation judgment module comprehensively analyzes the mixing performance of the mixer's corresponding mixing process. When a mixing operation alarm signal is generated, the cause is investigated and analyzed, and corresponding improvement measures are taken to ensure the operating safety and mixing effect of the mixer. Furthermore, the operation control management decision module evaluates and analyzes the automatic control performance of the material supply for quartz stone slab production within the management cycle. When a material supply operation control alarm signal is generated, the subsequent material supply control supervision is strengthened to ensure the safe, stable, and efficient operation of the subsequent material supply process, further reducing the operational management difficulty for managers. Attached Figure Description

[0031] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings;

[0032] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0033] Figure 2 This is a system block diagram of Embodiments 2 and 3 of the present invention. Detailed Implementation

[0034] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0035] Example 1: As Figure 1 As shown, the present invention proposes a multi-color quartz stone slab production material supply system, including a formula input module, a material supply control module, a raw material input monitoring module, a proportioning accuracy analysis module, a raw material mixing evaluation module, and a material supply management center;

[0036] Based on the information of the quartz stone slabs to be produced, the management personnel determine the raw material formula. The raw material formula (including the required raw materials and the quality information of various types of raw materials) is entered through the formula input module. The formula input module sends the raw material formula to the material supply control module. According to different raw material formulas, the material supply of quartz stone slabs of different colors can be completed.

[0037] The feed control module obtains the required raw materials based on the raw material formula, the required raw materials including quartz sand (powder), resin, pigment (according to the required color of the quartz plate, the corresponding pigment is used), curing agent, coupling agent, etc., controls the valve of the corresponding storage bin to open to release the corresponding raw materials, and transports the corresponding raw materials to the mixer to realize automatic transportation of various types of raw materials.

[0038] After the transportation of various raw materials is completed, the raw material input monitoring module sends the actual transportation amount of various raw materials to the proportioning accuracy analysis module, the proportioning accuracy analysis module analyzes the proportioning accuracy, generates a high-precision proportioning signal or a low-precision proportioning signal through analysis, and when the high-precision proportioning signal is generated, the mixer is started and operated through the feed control module, and when the low-precision proportioning signal is generated, the feed management center issues a warning to remind the management personnel to take reasonable disposal measures, so as to avoid affecting the quality of the produced quartz plate due to the unsatisfactory proportioning result, and significantly reduce the operation and management difficulty of the management personnel; the specific analysis process of the proportioning accuracy analysis module is as follows:

[0039] The transportation amount of the corresponding raw material is obtained, the transportation amount of the corresponding raw material is difference calculated with the corresponding set standard transportation amount and the absolute value is taken to obtain the transportation deviation value, the transportation deviation value is compared with the corresponding preset transportation deviation threshold value, if the transportation deviation value exceeds the corresponding preset transportation deviation threshold value, it indicates that the transportation amount of the corresponding type of raw material is too much or too little, that is, the transportation amount of the corresponding type of raw material does not meet the requirements, and then the corresponding type of raw material is marked as an abnormal transportation raw material; if there is an abnormal transportation raw material, it indicates that the automatic proportioning effect of the time is poor, which is not conducive to ensuring the quality of the produced quartz plate, and then a low-precision proportioning signal is generated.

[0040] Further, if there is no abnormal transportation raw material, a set of preset quality influence weight values greater than zero is set for each type of raw material in advance, and it needs to be noted that the greater the adverse influence of the content deviation of the corresponding type of raw material on the quality of the produced quartz plate, the greater the value of the preset quality influence weight value matched therewith.

[0041] The ratio of the transportation deviation value of the corresponding raw material to the corresponding preset transportation deviation threshold value is marked as a transportation deviation value, the transportation deviation value is multiplied by the corresponding preset quality influence weight value to obtain a transportation risk value, and the transportation risk values of all types of raw materials that need to be transported are summed to obtain a proportioning accuracy influence coefficient, wherein the greater the value of the proportioning accuracy influence coefficient, the poorer the automatic proportioning effect of the time, and the more difficult it is to ensure the quality of the produced quartz plate.

[0042] The ratio precision influence coefficient is compared with the corresponding preset ratio precision influence coefficient threshold value in numerical value. If the ratio precision influence coefficient exceeds the corresponding preset ratio precision influence coefficient threshold value, it indicates that the automatic batching effect of the current time is poor, which is not conducive to ensuring the quality of the produced quartz stone plate, and a low-precision batching signal is generated. If the ratio precision influence coefficient does not exceed the corresponding preset ratio precision influence coefficient threshold value, it indicates that the automatic batching effect of the current time is good, which is conducive to ensuring the quality of the produced quartz stone plate, and a high-precision batching signal is generated.

[0043] When the stirring of the mixer for various raw materials is completed, the raw material mixing evaluation module samples and detects the materials at several positions in the mixer, evaluates and analyzes the raw material mixing effect based on the detection results, generates a mixing effect poor signal or a mixing effect good signal through analysis, and sends the mixing effect poor signal or the mixing effect good signal to the feeding management center. When the feeding management center receives the mixing effect poor signal, it issues a corresponding warning to remind the management personnel to take reasonable disposal measures (such as discarding the mixed materials) for the corresponding materials, further reducing the adverse effects on the quality of the produced quartz stone plate. The specific analysis process of the raw material mixing effect evaluation and analysis is as follows:

[0044] The content percentage data of the corresponding type of raw material at each position is obtained, and the content percentage data of the corresponding type of raw material at each position is subjected to variance calculation to obtain a dispersion disorder value. The larger the dispersion disorder value, the more uneven the distribution of the corresponding type of raw material.

[0045] The content percentage data is compared with the corresponding preset content percentage data range. If the content percentage data is not within the corresponding preset content percentage data range, it indicates that the content of the corresponding type of raw material at that position does not meet the requirements, and the corresponding position is marked as a content deviation position of the corresponding type of raw material.

[0046] The number of content deviation positions corresponding to the corresponding type of raw material is obtained and subjected to ratio calculation with the total number of sampling detection positions to obtain a content deviation performance value, and the deviation value of the content percentage data of the content deviation position compared with the corresponding preset content percentage data range is marked as a content deviation degree value. The largest content deviation degree value corresponding to the corresponding type of raw material is marked as a content deviation amplitude value.

[0047] The dispersion disorder value YM, the content deviation performance value SW, and the content deviation amplitude value TF are subjected to numerical calculation by the formula RX = wq x YM + uy x SW + pk x TF to obtain a raw material fusion coefficient RX. Wherein, wq, uy, pk are preset weight coefficients with a value greater than zero, and the larger the value of the raw material fusion coefficient RX, the worse the distribution performance of the corresponding type of raw material after stirring and mixing.

[0048] The raw material fusion coefficient RX is compared with the corresponding preset raw material fusion coefficient threshold. If the raw material fusion coefficient RX exceeds the corresponding preset raw material fusion coefficient threshold, it indicates that the distribution of the corresponding type of raw material is poor after stirring and mixing. The corresponding type of raw material is then marked as an abnormal fusion raw material.

[0049] If there are raw materials with abnormal fusion, it indicates that the mixing effect of this batch is poor and is not conducive to ensuring the quality of the produced quartz stone slabs, thus generating a mixing effect abnormal signal; if there are no raw materials with abnormal fusion, it indicates that the mixing effect of this batch is good and is conducive to ensuring the quality of the produced quartz stone slabs, thus generating a mixing effect excellent signal.

[0050] Example 2: Figure 2 As shown, the difference between this embodiment and Embodiment 1 is that the raw material mixing evaluation module is communicatively connected to the mixing operation judgment module. The raw material mixing evaluation module sends the mixing efficiency signal to the mixing operation judgment module. When the mixing operation judgment module receives the mixing efficiency signal, it performs a comprehensive analysis of the mixing performance of the corresponding mixing process of the mixer. Through analysis, it generates a mixing operation qualified signal or a mixing operation alarm signal.

[0051] Furthermore, a qualified mixing operation signal or a mixed operation alarm signal is sent to the material supply management center. Upon receiving the mixed operation alarm signal, the material supply management center issues a corresponding warning to remind management personnel to investigate and analyze the cause and take corresponding improvement measures, ensuring the operational safety and mixing effect of the mixer, and further reducing the management difficulty for management personnel. The specific analysis process of the comprehensive analysis of mixing performance is as follows:

[0052] The number of times the mixing monitoring symbol YL-1 is assigned in the corresponding mixing process is obtained and marked as the mixing monitoring anomaly value. The average value of all the mixing monitoring values ​​in the corresponding mixing process is calculated to obtain the mixing monitoring table value. The mixing monitoring value with the largest value in the corresponding mixing process is marked as the mixing anomaly value.

[0053] The mixing table evaluation value HW is obtained by numerically calculating the mixing anomaly value FY, the mixing table value WP, and the mixing amplitude value XS using the formula HW=tu×FY+(ng×WP+rq×XS) / 2. Here, tu, ng, and rq are preset weight coefficients with values ​​greater than zero. Furthermore, the larger the value of the mixing table evaluation value HW, the worse the overall mixing performance of the corresponding mixing process is, and the more abnormal the operation of the mixer is.

[0054] The mixing table evaluation value HW is compared with the corresponding preset mixing table evaluation threshold. If the mixing table evaluation value HW exceeds the corresponding preset mixing table evaluation threshold, it indicates that the overall mixing performance of the corresponding mixing process is poor and the mixer is operating abnormally, so a mixing operation alarm signal is generated. If the mixing table evaluation value HW does not exceed the corresponding preset mixing table evaluation threshold, it indicates that the overall mixing performance of the corresponding mixing process is good and the mixer is operating normally, so a mixing operation qualified signal is generated.

[0055] Furthermore, the mixed operation judgment module is connected to the mixed monitoring and analysis module. The mixed monitoring and analysis module monitors the mixing process of the mixer in real time, collects the mixing speed and mixing temperature inside the mixer, marks the deviation of the mixing speed from the set standard speed as the mixing speed control deviation value, and marks the deviation of the mixing temperature from the set standard temperature as the mixing temperature control deviation value.

[0056] The shaking amplitude of the mixer was collected and marked as the shaking amplitude value. The mixing monitoring value GY was obtained by numerically calculating the mixing speed control value TW, the mixing temperature control value YF, and the shaking amplitude value HS using the formula GY=(ew×TW+up×YF+hu×HS) / 3. Among them, ew, up, and hu are preset weighting coefficients with values ​​greater than zero. The larger the value of the mixing monitoring value GY, the more abnormal the real-time mixing performance of the mixer is.

[0057] The mixing monitoring value GY is compared with the preset mixing monitoring threshold. If the mixing monitoring value GY exceeds the preset mixing monitoring threshold, it indicates that the real-time mixing performance of the mixer is abnormal overall. In this case, a mixing monitoring symbol YL-1 is assigned, and the mixing monitoring symbol YL-1 and all mixing monitoring values ​​in the corresponding mixing process are sent to the mixing operation judgment module. This not only enables real-time and effective monitoring of the mixing process of the mixer, but also accurately analyzes the abnormal conditions of the mixer and provides data support for the analysis process of the mixing operation judgment module, ensuring the accuracy of its analysis results.

[0058] Example 3: Figure 2 As shown, the difference between this embodiment and Embodiments 1 and 2 is that the material supply management center is connected to the operation control management decision module. The operation control management decision module is used to set a management cycle of days Q1, preferably Q1 = 15. When the number of days reaches Q1, the automatic control performance of the material supply for the production of quartz stone slabs within the management cycle is evaluated and analyzed, and a material supply operation control qualified signal or a material supply operation control alarm signal is generated through analysis.

[0059] And send the feed operation control qualified signal or feed operation control alarm signal to the feed management center, when the feed management center receives the feed operation control alarm signal, the corresponding early warning is sent out, the performance of the feed automatic control for the quartz stone plate production in the management cycle can be reasonably analyzed and accurately fed back, the subsequent feed control supervision is strengthened when the feed operation control alarm signal is generated, the safety, stability and high efficiency of the subsequent feed process are ensured, and the intelligent degree is high; The specific analysis process of the operation control management decision module is as follows:

[0060] The control delay time length of the feed control module for all the storage bin valves in the management cycle (that is, the interval time length between the time when the feed control module issues an instruction and the opening / closing time of the corresponding storage bin valve) is obtained, and the mean value of all the control delay time lengths is calculated to obtain the valve control delay value;

[0061] And the number of times of generating the low precision signal in the management cycle is obtained, and the ratio of the total number of ingredients in the management cycle is calculated to obtain the ingredient precision detection value, and the number of mixing processes corresponding to the mixing signal or the mixing operation alarm signal in the management cycle is obtained, and the ratio of the total number of mixing in the management cycle is calculated to obtain the mixing operation detection value;

[0062] The valve control delay value PX, the ingredient precision detection value NW and the mixing operation detection value GP are calculated by the formula XR=sy×PX+tg×NW+rm×GP to obtain the operation control management decision value XR; wherein, sy, tg, rm are preset weight coefficients with value greater than zero, and the greater the value of operation control management decision value XR, the worse the comprehensive performance of the feed automatic control for the quartz stone plate production in the management cycle;

[0063] The operation control management decision value XR is compared with the preset operation control management decision threshold value, if the operation control management decision value XR exceeds the preset operation control management decision threshold value, it means that the comprehensive performance of the feed automatic control for the quartz stone plate production in the management cycle is poor, then the feed operation control alarm signal is generated; if the operation control management decision value XR does not exceed the preset operation control management decision threshold value, it means that the comprehensive performance of the feed automatic control for the quartz stone plate production in the management cycle is good, then the feed operation control qualified signal is generated.

[0064] The working principle of the present application is as follows: when in use, the raw material formula is sent to the feeding control module through the formula input module, the feeding control module controls the valve of the corresponding storage bin to open to release the corresponding raw material based on the raw material formula, realizing the automatic conveying of various types of raw materials, after the conveying of various raw materials is completed, the raw material proportioning accuracy analysis module analyzes the raw material proportioning accuracy, when the high-precision proportioning signal is generated, the feeding control module is used to start the operation of the mixer, so as to avoid affecting the quality of the produced quartz stone plate due to the fact that the batching result does not meet the requirements, and when the mixer ends the stirring of various raw materials, the raw material mixing evaluation module samples and detects the materials at several positions in the mixer, evaluates and analyzes the raw material mixing effect based on the detection result, takes reasonable disposal measures for the corresponding materials when the mixing effect signal is generated, further reduces the adverse effects on the quality of the produced quartz stone plate, significantly reduces the operation and management difficulty of the management personnel, and has high automation and intelligence.

[0065] The above formulas are dimensionless values calculated, the formulas are obtained by collecting a large amount of data to simulate the most recent real situation, and the preset parameters in the formulas are set by a person skilled in the art according to actual conditions. The preferred embodiments of the present application disclosed above are only used to help explain the present application. The preferred embodiments do not describe all the details and limit the present application to the specific embodiments. Obviously, according to the content of the present application, many modifications and changes can be made. The present application selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present application, so that those skilled in the art can well understand and use the present application. The present application is limited by the claims and the entire scope and equivalents thereof.

Claims

1. A multi-colored quartz stone slab production and feeding system, characterized in that, It includes a formula input module, a material supply control module, a raw material input monitoring module, a proportioning accuracy analysis module, a raw material mixing evaluation module, and a material supply management center; the formula input module sends the raw material formula to the material supply control module, which controls the valves of the corresponding storage bins to open based on the raw material formula, and delivers the corresponding raw materials to the mixer; After the various raw materials are transported, the raw material input monitoring module sends the transport volume of each raw material to the proportioning accuracy analysis module. The proportioning accuracy analysis module analyzes the accuracy of the raw material proportions and generates a high-accuracy or low-accuracy signal. When a high-accuracy signal is generated, the feeding control module starts the mixer. When the mixer finishes mixing the various raw materials, the raw material mixing evaluation module samples and tests the material at several locations within the mixer. Based on the test results, it evaluates and analyzes the raw material mixing effect and issues an early warning to the feeding management center when a mixing effect abnormality signal is generated. The specific analysis process for evaluating the mixing effect of raw materials is as follows: Obtain the percentage content data of the corresponding raw materials at various locations, calculate the variance of the percentage content data of the corresponding raw materials at various locations to obtain the dispersion disorder value, and compare the percentage content data with the corresponding preset percentage content data range. If the percentage content data is not within the corresponding preset percentage content data range, mark the corresponding location as the biased location of the corresponding raw material. The number of biased positions corresponding to the corresponding type of raw material is obtained and the ratio is calculated with the total number of sampling and detection positions to obtain the bias performance value. The deviation value of the content percentage data of the biased position from the corresponding preset content percentage data range is marked as the bias degree value. The bias degree value with the largest value corresponding to the corresponding type of raw material is marked as the bias amplitude value. The raw material fusion coefficient RX is obtained by numerically calculating the dispersed disorder value YM, the biased performance value SW, and the biased amplitude value TF using the formula RX=wq×YM+uy×SW+pk×TF. Among them, wq, uy, and pk are preset weight coefficients with values ​​greater than zero. If the raw material fusion coefficient exceeds the corresponding preset raw material fusion coefficient threshold, the corresponding type of raw material is marked as an abnormal fusion raw material. If there is an abnormal fusion raw material, a mixed effect signal is generated. If there is no abnormal fusion raw material, a mixed effect signal is generated.

2. The multi-color quartz stone slab production feeding system according to claim 1, characterized in that, The specific analysis process of the ingredient accuracy analysis module is as follows: obtain the corresponding raw material delivery amount, calculate the difference between the corresponding raw material delivery amount and the corresponding set standard delivery amount, and take the absolute value to obtain the delivery amount deviation value. If the delivery amount deviation value exceeds the corresponding preset delivery amount deviation threshold, the corresponding type of raw material is marked as an abnormal delivery raw material. If there is an abnormal delivery raw material, a low proportion accuracy signal is generated.

3. The multi-color quartz stone slab production feeding system according to claim 2, characterized in that, If there are no raw materials transported from other regions, the ratio accuracy influence coefficient is compared with the corresponding preset ratio accuracy influence coefficient threshold. If the ratio accuracy influence coefficient exceeds the corresponding preset ratio accuracy influence coefficient threshold, a low ratio accuracy signal is generated; otherwise, a high ratio accuracy signal is generated.

4. The multi-color quartz stone slab production feeding system according to claim 1, characterized in that, The raw material mixing evaluation module communicates with the mixing operation judgment module. The raw material mixing evaluation module sends the mixing efficiency signal to the mixing operation judgment module. When the mixing efficiency signal is received, the mixing operation judgment module performs a comprehensive analysis of the mixing performance of the corresponding mixing process of the mixer. Through analysis, it generates a mixing operation qualified signal or a mixing operation alarm signal and sends the mixing operation qualified signal or the mixing operation alarm signal to the material supply management center.

5. The multi-color quartz stone slab production feeding system according to claim 4, characterized in that, The specific analysis process of the comprehensive analysis of mixed performance is as follows: the number of times the mixed monitoring symbol YL-1 is assigned in the corresponding mixed process is obtained and marked as the mixed monitoring anomaly value. The mixed monitoring anomaly value, the mixed monitoring table value and the mixed anomaly amplitude value are numerically calculated to obtain the mixed table evaluation value. If the mixed table evaluation value exceeds the corresponding preset mixed table evaluation threshold, a mixed operation alarm signal is generated; if the mixed table evaluation value does not exceed the corresponding preset mixed table evaluation threshold, a mixed operation qualified signal is generated.

6. The multi-color quartz stone slab production feeding system according to claim 4, characterized in that, The mixing operation judgment module is connected to the mixing monitoring and analysis module. The mixing monitoring and analysis module monitors the mixing process of the mixer in real time. It obtains the mixing monitoring value by numerically calculating the mixing speed control value, mixing temperature control value, and mixing sway amplitude value. If the mixing monitoring value exceeds the preset mixing monitoring threshold, it assigns a mixing monitoring symbol YL-1, and sends the corresponding mixing monitoring symbol YL-1 and all mixing monitoring values ​​in the mixing process to the mixing operation judgment module.

7. The multi-color quartz stone slab production feeding system according to claim 4, characterized in that, The material supply management center is connected to the operation control management decision module. The operation control management decision module evaluates and analyzes the automatic control performance of the material supply for quartz stone slab production within the management cycle. Through analysis, it generates a material supply operation control qualified signal or a material supply operation control alarm signal and sends the material supply operation control qualified signal or material supply operation control alarm signal to the material supply management center.

8. A multi-color quartz stone slab production feeding system according to claim 7, characterized in that, The specific analysis process of the operation control management decision module is as follows: The operation control management decision value is obtained by numerically calculating the valve control delay value, the batching error detection value, and the mixing error detection value. If the operation control management decision value exceeds the preset operation control management decision threshold, a material supply operation control alarm signal is generated; otherwise, a material supply operation control qualified signal is generated.

Images