CN117787879A - Full-cycle manufacturing management system of wet mixing granulation combined production line - Google Patents
Full-cycle manufacturing management system of wet mixing granulation combined production line Download PDFInfo
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Abstract
The invention discloses a full-cycle manufacturing management system of a wet mixing granulation combined production line, which relates to the technical field of granulation production management, and the full-cycle manufacturing management system comprises the steps of analyzing matching values of each reference raw material type and each alternative subarea in each preset particle type, and further selecting each preset particle type from each subarea in a warehouse to correspond to each reference raw material; the production equipment corresponding to each preset particle type is confirmed by calculating the matching value of each preset particle type and each production equipment, the production equipment corresponding to each preset particle type is monitored, the production state corresponding to the production equipment corresponding to each preset particle type is analyzed, meanwhile, after production is completed, the production quality corresponding to each preset particle type is analyzed, intelligent and automatic management of wet mixing granulation is realized, the effect and quality of particle production are guaranteed, the loss in the production process is effectively reduced, and the cost of particle production is accurately controlled.
Description
Technical Field
The invention relates to the technical field of granulation production management, in particular to a full-cycle manufacturing management system of a wet mixing granulation combined production line.
Background
Wet mixing granulation is a method for manufacturing granular products in the pharmaceutical production process, wherein powdery or granular raw materials are mixed with liquid to form a stirred material with certain humidity and viscosity, and then the stirred material is converted into solid particles through a series of process steps, and the efficiency of the production process can be improved through full-period manufacturing management, so that the production cost is reduced, and the competitiveness of enterprises is improved.
When raw materials are selected before wet mixing granulation, a proper amount of raw materials are selected mostly according to the experience of staff, and are sequentially selected according to the storage time length of the raw materials, obviously, the raw materials are selected manually, so that the labor cost of granulation cannot be effectively reduced, meanwhile, the workload of the staff cannot be reduced, the same raw materials in a warehouse can be different in purchasing cost due to different suppliers, and when raw materials are selected, the raw materials are selected only according to the storage time length of the raw materials, and the cost of the raw materials is ignored, so that the production cost cannot be accurately controlled; on the one hand, when the production equipment is selected for granulating, the production equipment is selected in sequence mainly according to the production efficiency of the production equipment and the production quantity of each particle type, and different production equipment can produce different particle types with different effects due to different equipment internal structures and use conditions, but the current technology does not select the production equipment corresponding to each particle type according to the effect of producing each particle type of each production equipment, so that the rejection rate after production cannot be effectively reduced, and the production cost is also improved to a certain extent; on the other hand, in the prior art, only the quality of the produced particles is taken care of, and the monitoring of the production process of production equipment is omitted, so that the production rate of the production equipment in the production process and the consumption condition of raw materials cannot be clearly known, the production efficiency of the particles cannot be effectively controlled, and the loss in the production process cannot be reduced.
Disclosure of Invention
The invention aims to provide a full-cycle manufacturing management system of a wet mixing granulation combined production line, which solves the problems in the background technology.
In order to solve the technical problems, the invention adopts the following technical scheme: the invention provides a full-cycle manufacturing management system of a wet mixing granulation combined production line, which comprises the following components: the raw material selection module is used for extracting preset production information corresponding to a current factory, further extracting the preset particle quantity of each preset particle type and the preset cost of each preset particle type from the preset production information corresponding to the factory, and simultaneously acquiring storage information corresponding to each subarea in the warehouse, so that each reference raw material corresponding to each preset particle type is selected from each subarea in the warehouse;
the production management module is used for acquiring production information and historical production parameters corresponding to current production equipment, extracting production completion rates corresponding to the production equipment from the production information corresponding to the production equipment, extracting particle types, rejection rates and production rates corresponding to historical production of the production equipment from the historical production parameters corresponding to the production equipment, and extracting preset particle numbers and preset production time lengths corresponding to preset particle types from preset production information corresponding to a factory, so as to further confirm the production equipment corresponding to the preset particle types;
the production monitoring module is used for distributing each acquisition time point according to a preset time interval when each preset particle type corresponds to production equipment for production, so as to acquire production information of each preset particle type corresponding to the production equipment at each acquisition time point, and further analyze the production state of each preset particle corresponding to the production equipment;
the quality detection module is used for collecting quality information corresponding to each particle in each preset particle type after the production of each preset particle type is completed, and further analyzing the production quality corresponding to each preset particle type;
and the execution terminal is used for executing the operation of poor production when the production state corresponding to the production equipment corresponding to a certain preset particle or the production quality corresponding to a certain preset particle type is not qualified.
Preferably, the storage information corresponding to each subarea comprises raw material type, raw material quantity, warehouse-in duration and raw material cost.
Preferably, each preset particle type is selected from each subarea in the warehouse to correspond to each reference raw material, and the specific selection process is as follows: a1, obtaining the reference quantity of each preset particle type corresponding to each reference raw material type according to the preset particle quantity of each preset particle type and the reference quantity of each particle type corresponding to each reference raw material type stored in a database; comparing each reference raw material type corresponding to each preset particle type with the raw material type corresponding to each region in the warehouse, obtaining each alternative sub-region corresponding to each reference raw material type in each preset particle type, and further calculating a matching value corresponding to each reference raw material type and each alternative sub-region in each preset particle type;
a2, sorting the matching values of the reference raw material types and the candidate subareas in the preset particle types according to descending order to obtain the ranking of the candidate subareas corresponding to the reference raw material types in the preset particle types, thereby sequentially completing the selection of the reference raw materials corresponding to the preset particle types according to the reference quantity of the reference raw material types, the ranking of the candidate subareas and the raw material quantity in the preset particle types.
Preferably, the calculation formula of the matching value corresponding to each candidate sub-region of each reference raw material type in each preset particle type is as follows:wherein->The matching values corresponding to the jth reference raw material type and the (r) alternative subarea in the ith preset particle type are respectively the set allowable raw material quantity difference, the reference warehousing time length and the allowable raw material quantity difference delta N, T and delta CPoor material cost (I)>、、/>Respectively representing the raw material quantity, the warehousing duration and the raw material cost of the (r) alternative subarea corresponding to the (j) th reference raw material type in the (i) th preset particle type,/->Representing the reference quantity, C, of the jth reference raw material type in the ith preset particle type i Representing the preset cost, ε, of the ith preset particle type 1 、ε 2 、ε 3 The method comprises the steps of respectively setting the number of raw materials, the warehousing duration and the weight factors corresponding to the raw material cost, wherein i represents the number corresponding to each preset particle type, i=1, 2..n, j represents the number corresponding to each reference raw material type, j=1, 2..m, r represents the number corresponding to each alternative subarea, r=1, 2..g, and n, m and g are all any integers larger than 2.
Preferably, the specific confirmation process of the production equipment corresponding to each preset particle type is as follows: according to the particle types, the rejection rate and the production rate of each production equipment corresponding to each time of historical production, obtaining each rejection rate and each production rate of each production equipment corresponding to each particle type of historical production, further obtaining the average rejection rate and the estimated production rate of each production equipment corresponding to each particle type of historical production through average calculation, further obtaining the average rejection rate and the average production rate of each production equipment corresponding to each preset particle type of historical production according to each preset particle type, and further obtaining the matching value of each preset particle type and each production equipment through calculation;
and sorting the matching values corresponding to the preset particle types and the production equipment according to descending order, thereby sequentially confirming the production equipment corresponding to the preset particle types according to the sorting result.
Preferably, a pair ofThe calculation process of the matching value corresponding to each preset particle type and each production device is as follows:wherein->Representing a matching value of the ith predetermined particle type corresponding to the y-th production facility, wherein W y Indicating the corresponding production completion rate of the y-th production equipment,、/>respectively representing the average rejection rate and the average production rate corresponding to the ith preset particle type produced by the y-th production equipment in a historical manner, wherein w, b and v are respectively the set reference production completion rate, the allowable average rejection rate and the reference average production rate, and N i Representing the number of preset particles of the ith preset particle type, y representing the number corresponding to each production facility, y=1, 2. The number z is a number, z is any integer greater than 2, lambda 1 、λ 2 、λ 3 Respectively set weight factors corresponding to the production completion rate, the average rejection rate and the average production rate.
Preferably, the production information of each preset particle type corresponding to the production equipment at each acquisition time point comprises the particle production quantity and the consumption quantity of each reference raw material type.
Preferably, the analyzing the production state of each preset particle corresponding to the production equipment comprises the following specific analysis process: obtaining the reference consumption quantity of each preset particle type corresponding to each production equipment corresponding to each reference raw material type at each acquisition time point according to the particle production quantity of each preset particle type corresponding to each production equipment at each acquisition time point and the reference quantity of each particle type corresponding to each reference raw material type stored in a database, and recording asWherein t represents the number corresponding to each acquisition time point, t=12. Once again, p, p is largeAny integer of 2;
extracting the average production rate of the historical production of the corresponding preset particle type production equipment, analyzing and obtaining the reference particle production quantity of the corresponding preset particle type production equipment at each acquisition time point, and marking as；
According to the calculation formulaObtaining the production state evaluation coefficient phi of the corresponding production equipment of each preset particle i Wherein->Representing the consumption quantity of the ith preset particle type corresponding to the production equipment corresponding to the jth reference raw material type at the t collecting time point,/for the ith preset particle type>Indicating the particle production quantity, deltaX, of the ith preset particle type corresponding to the production equipment at the t-th acquisition time point ij The allowable consumption amount difference, eta, for the jth reference raw material type in the set ith preset particle type 1 、η 2 Respectively setting weight factors corresponding to the particle production quantity and the raw material consumption quantity;
comparing the production state evaluation coefficient of the production equipment corresponding to each preset particle with a preset production state evaluation coefficient threshold value, and analyzing to obtain the production state of the production equipment corresponding to each preset particle.
Preferably, the mass information corresponding to each particle in each preset particle type includes weight, size and crack area.
Preferably, the production quality corresponding to each preset particle type is analyzed, and the specific analysis process is as follows: substituting the weight, the size and the crack area corresponding to each particle in each preset particle type into a calculation formulaIn (1) to obtainThe quality corresponding to each particle in each preset particle type accords with the coefficient phi if Wherein mg is if 、cg if 、s if Respectively represent the weight, the size and the crack area corresponding to the f particle in the ith preset particle type, mg i 、cg i The standard weight and standard size of the particles in the set ith preset particle type are respectively, Δmg and Δcg are respectively the set allowable particle weight difference and allowable particle size difference, s is the set allowable crack area, f represents the number corresponding to each particle, f=1, 2 1 、μ 2 、μ 3 Respectively setting weight factors corresponding to the weight, the size and the crack area;
according to the quality coincidence coefficient corresponding to each particle in each preset particle type, counting the number of unqualified particles in each preset particle type, dividing the number of unqualified particles in each preset particle type by the number of preset particles to obtain the rejection rate of each preset particle type, comparing the rejection rate of each preset particle type with a preset rejection rate threshold, and further judging the production quality corresponding to each preset particle type.
The invention has the beneficial effects that: according to the full-cycle manufacturing management system of the wet mixing granulation combined production line, according to preset production information and storage information corresponding to each subarea in a warehouse, matching values of each reference raw material type in each preset particle type and each alternative subarea are analyzed, and then each preset particle type is selected from each subarea in the warehouse to correspond to each reference raw material; according to the production information and the historical production parameters corresponding to each production device, the matching value of each preset particle type and each production device is calculated, the production device corresponding to each preset particle type is further confirmed, the production device corresponding to each preset particle type is monitored in the production process, the production state of each preset particle corresponding to the production device is analyzed, meanwhile, after the production is completed, the production quality corresponding to each preset particle type is analyzed, the defects in the prior art are overcome, the intelligent and automatic management of wet mixing granulation is realized, the workload of staff is greatly reduced, the effect and quality of particle production are guaranteed, the loss in the production process is effectively reduced, the cost of particle production is accurately controlled, and the competitiveness of enterprises in the market is improved.
Drawings
In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of the system structure of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides a full-cycle manufacturing management system of a wet mixing granulation combined production line, comprising: the system comprises a raw material selection module, a production management module, a production monitoring module, a quality detection module, an execution terminal and a database.
The raw material selection module is used for extracting preset production information corresponding to a current factory, further extracting the preset particle quantity of each preset particle type and the preset cost of each preset particle type from the preset production information corresponding to the factory, and simultaneously acquiring storage information corresponding to each subarea in the warehouse, so that each reference raw material corresponding to each preset particle type is selected from each subarea in the warehouse;
in the above, the preset production information corresponding to the factory includes the preset particle number of each preset particle type and the preset cost of each preset particle type.
The storage information corresponding to each subarea comprises raw material types, raw material quantity, warehouse-in duration and raw material cost.
The preset production information corresponding to the current factory is extracted from the database, and the storage information corresponding to each subarea in the warehouse is extracted from the warehouse management center.
It should be noted that, the warehouse is divided into areas according to the types and the costs of the raw materials, so as to obtain each subarea, and the types and the costs of the raw materials in each subarea are the same.
In a specific embodiment, the selecting each preset particle type from each sub-region in the warehouse corresponds to each reference raw material, and the specific selecting process is as follows: a1, obtaining the reference quantity of each preset particle type corresponding to each reference raw material type according to the preset particle quantity of each preset particle type and the reference quantity of each particle type corresponding to each reference raw material type stored in a database; comparing each reference raw material type corresponding to each preset particle type with the raw material type corresponding to each region in the warehouse, obtaining each alternative sub-region corresponding to each reference raw material type in each preset particle type, and further calculating a matching value corresponding to each reference raw material type and each alternative sub-region in each preset particle type;
in the above, each candidate sub-region corresponding to each reference raw material type in each preset particle type is obtained, and the specific obtaining process is as follows: if a certain reference raw material type corresponding to a certain preset particle type is the same as the raw material type corresponding to a certain region in the warehouse, the subarea is used as an alternative subarea corresponding to the reference raw material type in the preset particle type, each alternative subarea corresponding to each reference raw material type in each preset particle type is obtained in the mode,
in the foregoing, the calculation formula of the matching value corresponding to each candidate sub-region and each reference raw material type in each preset particle type is as follows:wherein->Representing the matching value of the jth reference raw material type in the ith preset particle type and the jth alternative subarea, wherein delta N, T and delta C are respectively set permissible raw material quantity difference, reference warehousing time length and permissible raw material cost difference, and are respectively defined as->、、/>Respectively representing the raw material quantity, the warehousing duration and the raw material cost of the (r) alternative subarea corresponding to the (j) th reference raw material type in the (i) th preset particle type,/->Representing the reference quantity, C, of the jth reference raw material type in the ith preset particle type i Representing the preset cost, ε, of the ith preset particle type 1 、ε 2 、ε 3 The method comprises the steps of respectively setting the number of raw materials, the warehousing duration and the weight factors corresponding to the raw material cost, wherein i represents the number corresponding to each preset particle type, i=1, 2..n, j represents the number corresponding to each reference raw material type, j=1, 2..m, r represents the number corresponding to each alternative subarea, r=1, 2..g, and n, m and g are all any integers larger than 2.
Epsilon is the same as epsilon 1 、ε 2 、ε 3 All greater than 0 and less than 1.
A2, sorting the matching values of the reference raw material types and the candidate subareas in the preset particle types according to descending order to obtain the ranking of the candidate subareas corresponding to the reference raw material types in the preset particle types, thereby sequentially completing the selection of the reference raw materials corresponding to the preset particle types according to the reference quantity of the reference raw material types, the ranking of the candidate subareas and the raw material quantity in the preset particle types.
The selection of each preset particle type corresponding to each reference raw material is sequentially completed, and the specific process is as follows: a21, sorting matching values corresponding to each reference raw material type and each alternative subarea in each preset particle type according to descending order, taking the alternative subarea ranked first as a first material taking subarea corresponding to each reference raw material type in each preset particle type, comparing the raw material quantity of the first material taking subarea corresponding to each reference raw material type in each preset particle type with the reference quantity of each reference raw material type in each preset particle type, and if the raw material quantity of the first material taking subarea corresponding to a certain reference raw material type in a certain preset particle type is larger than or equal to the reference quantity of the reference raw material type in the preset particle type, selecting raw materials from the first material taking subarea corresponding to the reference raw material type in the preset particle type;
a22, if the number of raw materials of a certain reference raw material type corresponding to the first material taking subarea in a certain preset particle type is smaller than the reference number of the reference raw material type in the preset particle type, after the number of raw materials of the reference raw material type corresponding to the first material taking subarea in the preset particle type is selected, taking the difference between the reference number of the reference raw material type in the preset particle type and the number of the raw materials of the reference raw material type corresponding to the first material taking subarea in the preset particle type as the second reference number of the reference raw material type in the preset particle type, further taking an alternative subarea with a second matching value ranking as the second material taking subarea corresponding to the reference raw material type in the preset particle type, and further analyzing according to the steps of A21-A22 to finish the selection of each reference raw material corresponding to each preset particle type.
The production management module is used for acquiring production information and historical production parameters corresponding to current production equipment, extracting production completion rates corresponding to the production equipment from the production information corresponding to the production equipment, extracting particle types, rejection rates and production rates corresponding to historical production of the production equipment from the historical production parameters corresponding to the production equipment, and extracting preset particle numbers and preset production time lengths corresponding to preset particle types from preset production information corresponding to a factory, so as to further confirm the production equipment corresponding to the preset particle types;
in the above, the production information corresponding to each production device includes a production completion rate corresponding to each production device.
The historical production parameters corresponding to the production equipment comprise particle types, rejection rates and production rates corresponding to the historical production of the production equipment.
It should be noted that, each production device is provided with a counter, so as to collect the number of production particles corresponding to each current production device, extract the preset number of production corresponding to each current production device from the database, and divide the number of production particles corresponding to each current production device by the preset number of production corresponding to each current production device, so as to obtain the production completion rate corresponding to each production device. And extracting the historical production parameters corresponding to each production device from the database.
In a specific embodiment, the process of identifying the production equipment corresponding to each preset particle type is as follows: according to the particle types, the rejection rate and the production rate of each production equipment corresponding to each time of historical production, obtaining each rejection rate and each production rate of each production equipment corresponding to each particle type of historical production, further obtaining the average rejection rate and the estimated production rate of each production equipment corresponding to each particle type of historical production through average calculation, further obtaining the average rejection rate and the average production rate of each production equipment corresponding to each preset particle type of historical production according to each preset particle type, and further obtaining the matching value of each preset particle type and each production equipment through calculation;
in the above, the calculating process of the matching value corresponding to each production device and each preset particle type is as follows:wherein->Representing a matching value of the ith predetermined particle type corresponding to the y-th production facility, wherein W y Indicating the corresponding production completion rate of the y-th production equipment,、/>respectively representing the average rejection rate and the average production rate corresponding to the ith preset particle type produced by the y-th production equipment in a historical manner, wherein w, b and v are respectively the set reference production completion rate, the allowable average rejection rate and the reference average production rate, and N i Representing the number of preset particles of the ith preset particle type, y representing the number corresponding to each production facility, y=1, 2. The number z is a number, z is any integer greater than 2, lambda 1 、λ 2 、λ 3 Respectively set weight factors corresponding to the production completion rate, the average rejection rate and the average production rate.
Lambda is the sum of the values of lambda 1 、λ 2 、λ 3 All greater than 0 and less than 1.
And sorting the matching values corresponding to the preset particle types and the production equipment according to descending order, thereby sequentially confirming the production equipment corresponding to the preset particle types according to the sorting result.
It should be noted that, assuming that each preset particle type is a type of preset particle type and a type of preset particle type, each production device is a B production device and an H device, respectively, if a matching value corresponding to the type of preset particle type and the B production device is 1; the matching value of the type of the preset particles corresponding to the H production equipment is 5; the matching value of the type II preset particles and the production equipment B is 2; the matching value of the type II preset particles and the corresponding H production equipment is 4;
the matching values of the preset particle types and the production equipment are sorted according to descending order, and the sorting results are as follows: 1 st: a class of matching values corresponding to the preset particle types and the H production equipment;
2: matching values of the second class of preset particle types and the H production equipment;
3: matching values of the second class of preset particle types and the production equipment B;
4: a class of matching values corresponding to the preset particle types and the production equipment B;
sequentially confirming production equipment corresponding to each preset particle type according to the sequencing result, wherein the confirmation result is as follows: the production equipment corresponding to the type of the preset particles is H production equipment; the production equipment corresponding to the type of the second preset particle is the production equipment B.
The production monitoring module is used for distributing each acquisition time point according to a preset time interval when each preset particle type corresponds to production equipment for production, so as to acquire production information of each preset particle type corresponding to the production equipment at each acquisition time point, and further analyze the production state of each preset particle corresponding to the production equipment;
in the above, the production information of each preset particle type corresponding to the production equipment at each acquisition time point includes the particle production quantity and the consumption quantity of each reference raw material type.
It should be noted that, the counter in each production device is used to collect the particle production quantity corresponding to each preset particle type at each collection time point.
And acquiring consumption quantity of each reference raw material type corresponding to each production equipment at each acquisition time point, wherein each consumption quantity corresponds to each preset particle type from a warehouse management center.
In a specific embodiment, the process of analyzing the production state of each preset particle corresponding to the production equipment is as follows: obtaining the reference consumption quantity of each preset particle type corresponding to each production equipment corresponding to each reference raw material type at each acquisition time point according to the particle production quantity of each preset particle type corresponding to each production equipment at each acquisition time point and the reference quantity of each particle type corresponding to each reference raw material type stored in a database, and recording asWherein t represents the number corresponding to each acquisition time point, t=12. Once again, p, p is any integer greater than 2;
extracting the average production rate of the historical production of the corresponding preset particle type production equipment, analyzing and obtaining the reference particle production quantity of the corresponding preset particle type production equipment at each acquisition time point, and marking as；
The average production rate of the production equipment corresponding to the historical production of each preset particle type is recorded as the production rate of the production equipment corresponding to each preset particle type, and further the production duration corresponding to each acquisition time point is obtained according to each acquisition time point, so that the production rate of the production equipment corresponding to each preset particle type is multiplied by the production duration corresponding to each acquisition time point, and the reference particle production quantity of the production equipment corresponding to each preset particle type at each acquisition time point is obtained;
according to the calculation formulaObtaining the production state evaluation coefficient phi corresponding to the production equipment corresponding to each preset particle i Wherein->Representing the consumption quantity of the ith preset particle type corresponding to the production equipment corresponding to the jth reference raw material type at the t collecting time point,/for the ith preset particle type>Representing the particle production quantity, deltaX, corresponding to the ith preset particle type and corresponding to the production equipment at the t collecting time point ij The allowable consumption amount difference, eta, for the jth reference raw material type in the set ith preset particle type 1 、η 2 Respectively setting weight factors corresponding to the particle production quantity and the raw material consumption quantity;
note that η is as follows 1 、η 2 All greater than 0 and less than 1.
It should be further noted that, dividing the particle production quantity of each preset particle type corresponding production device at each collection time point by the reference particle production quantity of each preset particle type corresponding production device at each collection time point to obtain the production rate of each preset particle type corresponding production device at each collection time point, further obtaining the average production rate of each preset particle type corresponding production device through mean value calculation, and storing the average production rate as the production rate of each preset particle type corresponding production device for producing each preset particle type in the database.
Comparing the production state evaluation coefficient of the production equipment corresponding to each preset particle with a preset production state evaluation coefficient threshold value, and analyzing to obtain the production state of the production equipment corresponding to each preset particle.
In the above, the analysis process of the production state of each preset particle corresponding to the production equipment is as follows: comparing the production state evaluation coefficient of the production equipment corresponding to each preset particle with a preset production state evaluation coefficient threshold, if the production state evaluation coefficient of the production equipment corresponding to a certain preset particle is larger than or equal to the preset production state evaluation coefficient threshold, judging that the production state of the production equipment corresponding to the preset particle is good, otherwise, judging that the production state of the production equipment corresponding to the preset particle is poor, and obtaining the production state of the production equipment corresponding to each preset particle in this way.
The quality detection module is used for collecting quality information corresponding to each particle in each preset particle type after the production of each preset particle type is completed, and further analyzing the production quality corresponding to each preset particle type;
in the foregoing, the mass information corresponding to each particle in each preset particle type includes weight, size, and crack area.
The material outlet of each production device is provided with a camera and a weight sensor, so that images and weights corresponding to each particle in each preset particle type are collected, and the sizes and crack areas corresponding to each particle in each preset particle type are extracted from the images corresponding to each particle in each preset particle type.
In a specific embodiment, the production quality corresponding to each preset particle type is analyzed, and the specific analysis process is as follows: substituting the weight, the size and the crack area corresponding to each particle in each preset particle type into a calculation formulaObtaining the corresponding particle in each preset particle typeQuality compliance coefficient phi if Wherein mg is if 、cg if 、s if Respectively represent the weight, the size and the crack area corresponding to the f particle in the ith preset particle type, mg i 、cg i The standard weight and standard size of the particles in the set ith preset particle type are respectively, Δmg and Δcg are respectively the set allowable particle weight difference and allowable particle size difference, s is the set allowable crack area, f represents the number corresponding to each particle, f=1, 2 1 、μ 2 、μ 3 Respectively setting weight factors corresponding to the weight, the size and the crack area;
mu, in the form of a powder 1 、μ 2 、μ 3 All greater than 0 and less than 1.
According to the quality coincidence coefficient corresponding to each particle in each preset particle type, counting the number of unqualified particles in each preset particle type, dividing the number of unqualified particles in each preset particle type by the number of preset particles to obtain the rejection rate of each preset particle type, comparing the rejection rate of each preset particle type with a preset rejection rate threshold, and further judging the production quality corresponding to each preset particle type.
The specific process of determining the production quality corresponding to each preset particle type is as follows: comparing the quality coincidence coefficient corresponding to each particle in each preset particle type with a preset quality coincidence coefficient threshold, if the quality coincidence coefficient corresponding to a particle in a certain preset particle type is smaller than the preset quality coincidence coefficient threshold, judging that the quality of the particle in the preset particle type is unqualified, and recording as unqualified particles, thereby counting the number of unqualified particles in each preset particle type, dividing the number of unqualified particles in each preset particle type by the number of preset particles to obtain the rejection rate of each preset particle type, comparing the rejection rate of each preset particle type with the preset rejection rate threshold, and if the rejection rate of a certain preset particle type is smaller than the preset rejection rate threshold, judging that the production quality corresponding to the preset particle type is qualified, otherwise, judging that the production quality corresponding to the preset particle type is unqualified, and judging that the production quality corresponding to each preset particle type is unqualified in this way.
The rejection rate of each preset particle type is used as the rejection rate of each preset particle type produced by corresponding production equipment of each preset particle type, and the rejection rate is stored in a database.
And the execution terminal is used for executing the operation of poor production when the production state corresponding to the production equipment corresponding to a certain preset particle or the production quality corresponding to a certain preset particle type is not qualified.
When the production state of the production equipment corresponding to a certain preset particle is poor, an alarm of the execution terminal carries out early warning prompt, the serial number of the production equipment corresponding to the preset particle is extracted, and the serial number is sent to a user side of a manager for prompt.
When the production quality corresponding to a certain preset particle type is unqualified, early warning prompt is carried out in an alarm of the execution terminal, and the preset particle type is sent to a user side of a manager for prompt.
The database is used for storing preset production information corresponding to the current factory, the reference quantity of each particle type corresponding to each reference raw material type, the preset production quantity corresponding to each current production device and the historical production parameters corresponding to each production device.
According to preset production information and storage information corresponding to each subarea in a warehouse, the embodiment of the invention analyzes matching values corresponding to each reference raw material type and each alternative subarea in each preset particle type, and further selects each reference raw material corresponding to each preset particle type from each subarea in the warehouse; according to the production information and the historical production parameters corresponding to each production device, the matching value of each preset particle type and each production device is calculated, the production device corresponding to each preset particle type is further confirmed, the production device corresponding to each preset particle type is monitored in the production process, the production state of each preset particle corresponding to the production device is analyzed, meanwhile, after the production is completed, the production quality corresponding to each preset particle type is analyzed, the defects in the prior art are overcome, the intelligent and automatic management of wet mixing granulation is realized, the workload of staff is greatly reduced, the effect and quality of particle production are guaranteed, the loss in the production process is effectively reduced, the cost of particle production is accurately controlled, and the competitiveness of enterprises in the market is improved.
The foregoing is merely illustrative and explanatory of the principles of the invention, as various modifications and additions may be made to the specific embodiments described, or similar arrangements may be substituted by those skilled in the art, without departing from the principles of the invention or beyond the scope of the invention as defined in the description.
Claims (10)
1. The full-cycle manufacturing management system of the wet mixing granulation combined production line is characterized by comprising the following modules:
the raw material selection module is used for extracting preset production information corresponding to a current factory, further extracting the preset particle quantity of each preset particle type and the preset cost of each preset particle type from the preset production information corresponding to the factory, and simultaneously acquiring storage information corresponding to each subarea in the warehouse, so that each reference raw material corresponding to each preset particle type is selected from each subarea in the warehouse;
the production management module is used for acquiring production information and historical production parameters corresponding to current production equipment, extracting production completion rates corresponding to the production equipment from the production information corresponding to the production equipment, extracting particle types, rejection rates and production rates corresponding to historical production of the production equipment from the historical production parameters corresponding to the production equipment, and extracting preset particle numbers and preset production time lengths corresponding to preset particle types from preset production information corresponding to a factory, so as to further confirm the production equipment corresponding to the preset particle types;
the production monitoring module is used for distributing each acquisition time point according to a preset time interval when each preset particle type corresponds to production equipment for production, so as to acquire production information of each preset particle type corresponding to the production equipment at each acquisition time point, and further analyze the production state of each preset particle corresponding to the production equipment;
the quality detection module is used for collecting quality information corresponding to each particle in each preset particle type after the production of each preset particle type is completed, and further analyzing the production quality corresponding to each preset particle type;
and the execution terminal is used for executing the operation of poor production when the production state corresponding to the production equipment corresponding to a certain preset particle or the production quality corresponding to a certain preset particle type is not qualified.
2. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 1, wherein the storage information corresponding to each subarea comprises raw material types, raw material quantity, warehouse-in duration and raw material cost.
3. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 2, wherein each preset particle type is selected from each sub-region in the warehouse to correspond to each reference raw material, and the specific selection process is as follows:
a1, obtaining the reference quantity of each preset particle type corresponding to each reference raw material type according to the preset particle quantity of each preset particle type and the reference quantity of each particle type corresponding to each reference raw material type stored in a database; comparing each reference raw material type corresponding to each preset particle type with the raw material type corresponding to each region in the warehouse, obtaining each alternative sub-region corresponding to each reference raw material type in each preset particle type, and further calculating a matching value corresponding to each reference raw material type and each alternative sub-region in each preset particle type;
a2, sorting the matching values of the reference raw material types and the candidate subareas in the preset particle types according to descending order to obtain the ranking of the candidate subareas corresponding to the reference raw material types in the preset particle types, thereby sequentially completing the selection of the reference raw materials corresponding to the preset particle types according to the reference quantity of the reference raw material types, the ranking of the candidate subareas and the raw material quantity in the preset particle types.
4. A full-cycle manufacturing management system of a wet mixing granulation combined production line according to claim 3, wherein the calculation formula of the matching value corresponding to each candidate sub-region of each reference raw material type in each preset particle type is:
wherein->Representing the matching value of the jth reference raw material type in the ith preset particle type and the jth alternative subarea, wherein delta N, T and delta C are respectively set permissible raw material quantity difference, reference warehousing time length and permissible raw material cost difference, and are respectively defined as->、、/>Respectively representing the raw material quantity, the warehousing duration and the raw material cost of the (r) alternative subarea corresponding to the (j) th reference raw material type in the (i) th preset particle type,/->Representing the reference quantity, C, of the jth reference raw material type in the ith preset particle type i Representing the preset cost, ε, of the ith preset particle type 1 、ε 2 、ε 3 Respectively setting weight factors corresponding to the quantity of the raw materials, the warehouse-in duration and the raw material cost, wherein i represents the number corresponding to each preset particle type, i=1, 2....n, j represents the number corresponding to each reference raw material type, j represents each reference raw material the number corresponding to the type is used for the purpose of the method,r=1, 2. The number of the Chinese medicine is the number of the Chinese medicine, n, m and g are all any integer greater than 2.
5. The full-cycle manufacturing management system of a wet mixing granulation combined production line according to claim 4, wherein the specific confirmation process of the production equipment corresponding to each preset particle type is as follows:
according to the particle types, the rejection rate and the production rate of each production equipment corresponding to each time of historical production, obtaining each rejection rate and each production rate of each production equipment corresponding to each particle type of historical production, further obtaining the average rejection rate and the estimated production rate of each production equipment corresponding to each particle type of historical production through average calculation, further obtaining the average rejection rate and the average production rate of each production equipment corresponding to each preset particle type of historical production according to each preset particle type, and further obtaining the matching value of each preset particle type and each production equipment through calculation;
and sorting the matching values corresponding to the preset particle types and the production equipment according to descending order, thereby sequentially confirming the production equipment corresponding to the preset particle types according to the sorting result.
6. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 5, wherein the calculation process of the matching value corresponding to each production device of each preset particle type is as follows:wherein->Representing a matching value of the ith predetermined particle type corresponding to the y-th production facility, wherein W y Indicating the corresponding production completion rate of the y-th production equipment,、/>respectively representing the average rejection rate and the average production rate corresponding to the ith preset particle type produced by the y-th production equipment in a historical manner, wherein w, b and v are respectively the set reference production completion rate, the allowable average rejection rate and the reference average production rate, and N i Representing the number of preset particles of the ith preset particle type, y representing the number corresponding to each production facility, y=1, 2. The number z is a number, z is any integer greater than 2, lambda 1 、λ 2 、λ 3 Respectively set weight factors corresponding to the production completion rate, the average rejection rate and the average production rate.
7. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 4, wherein the production information of each preset particle type corresponding to the production equipment at each acquisition time point comprises the particle production quantity and the consumption quantity of each reference raw material type.
8. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 7, wherein the analyzing the production state of each preset particle corresponding to the production equipment comprises the following specific analysis process:
obtaining the reference consumption quantity of each preset particle type corresponding to each production equipment corresponding to each reference raw material type at each acquisition time point according to the particle production quantity of each preset particle type corresponding to each production equipment at each acquisition time point and the reference quantity of each particle type corresponding to each reference raw material type stored in a database, and recording asWherein t represents the number corresponding to each acquisition time point, t=12. Once again, p, p is any integer greater than 2;
extracting the average production rate of the historical production of the corresponding preset particle type production equipment, analyzing and obtaining the reference particle production quantity of the corresponding preset particle type production equipment at each acquisition time point, and marking as；
According to the calculation formulaObtaining the production state evaluation coefficient phi of the corresponding production equipment of each preset particle i Wherein->Representing the consumption quantity of the ith preset particle type corresponding to the production equipment corresponding to the jth reference raw material type at the t collecting time point,/for the ith preset particle type>Indicating the particle production quantity, deltaX, of the ith preset particle type corresponding to the production equipment at the t-th acquisition time point ij The allowable consumption amount difference, eta, for the jth reference raw material type in the set ith preset particle type 1 、η 2 Respectively setting weight factors corresponding to the particle production quantity and the raw material consumption quantity;
comparing the production state evaluation coefficient of the production equipment corresponding to each preset particle with a preset production state evaluation coefficient threshold value, and analyzing to obtain the production state of the production equipment corresponding to each preset particle.
9. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 4, wherein the quality information corresponding to each particle in each preset particle type comprises weight, size and crack area.
10. The full-cycle manufacturing management system of the wet mixing granulation combined production line according to claim 9, wherein the analyzing the production quality corresponding to each preset particle type comprises the following specific analysis process:
substituting the weight, the size and the crack area corresponding to each particle in each preset particle type into a calculation formulaObtaining the quality coincidence coefficient phi corresponding to each particle in each preset particle type if Wherein mg is if 、cg if 、s if Respectively represent the weight, the size and the crack area corresponding to the f particle in the ith preset particle type, mg i 、cg i The standard weight and standard size of the particles in the set ith preset particle type are respectively, Δmg and Δcg are respectively the set allowable particle weight difference and allowable particle size difference, s is the set allowable crack area, f represents the number corresponding to each particle, f=1, 2 1 、μ 2 、μ 3 Respectively setting weight factors corresponding to the weight, the size and the crack area;
according to the quality coincidence coefficient corresponding to each particle in each preset particle type, counting the number of unqualified particles in each preset particle type, dividing the number of unqualified particles in each preset particle type by the number of preset particles to obtain the rejection rate of each preset particle type, comparing the rejection rate of each preset particle type with a preset rejection rate threshold, and further judging the production quality corresponding to each preset particle type.
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