CN116501004B - AIOT mixing station production overall process monitoring management platform - Google Patents
AIOT mixing station production overall process monitoring management platform Download PDFInfo
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- CN116501004B CN116501004B CN202310786002.7A CN202310786002A CN116501004B CN 116501004 B CN116501004 B CN 116501004B CN 202310786002 A CN202310786002 A CN 202310786002A CN 116501004 B CN116501004 B CN 116501004B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 71
- 238000002156 mixing Methods 0.000 title claims abstract description 48
- 238000004519 manufacturing process Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 33
- 239000002994 raw material Substances 0.000 claims abstract description 204
- 230000006978 adaptation Effects 0.000 claims abstract description 64
- 238000004458 analytical method Methods 0.000 claims abstract description 34
- 239000000463 material Substances 0.000 claims abstract description 26
- 238000000605 extraction Methods 0.000 claims abstract description 10
- 239000004568 cement Substances 0.000 claims description 151
- 239000012615 aggregate Substances 0.000 claims description 139
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 93
- 239000002245 particle Substances 0.000 claims description 52
- 239000000654 additive Substances 0.000 claims description 38
- 230000000996 additive effect Effects 0.000 claims description 34
- 239000000203 mixture Substances 0.000 claims description 21
- 238000012937 correction Methods 0.000 claims description 15
- 230000002452 interceptive effect Effects 0.000 claims description 14
- 238000012216 screening Methods 0.000 claims description 5
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012790 confirmation Methods 0.000 claims description 3
- 230000035772 mutation Effects 0.000 claims 1
- 238000004886 process control Methods 0.000 claims 1
- 230000007547 defect Effects 0.000 description 5
- 238000011161 development Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005286 illumination Methods 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 238000003756 stirring Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM]
- G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS], computer integrated manufacturing [CIM] characterised by quality surveillance of production
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32252—Scheduling production, machining, job shop
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Abstract
The invention belongs to the technical field of concrete production monitoring, and particularly discloses an AIOT mixing station production overall process monitoring management platform which comprises a concrete transportation information extraction module, an in-station environment information monitoring module, a raw material state monitoring module, a raw material proportion interference setting module, a raw material quality analysis module, a raw material quality deviation analysis module, a material information base and a raw material proportion feedback terminal. According to the invention, the matching interference raw materials and the matching interference factors are set, and quality adaptation degree analysis is carried out on the purchased raw materials, so that the proper matching of each raw material is confirmed, the problem of limitation existing in the corresponding monitoring and management of the current material matching links is effectively solved, the accuracy and rationality of setting the matching of each raw material of the concrete are ensured, the subsequent production risk is timely reduced through the quality deviation analysis of the raw materials, and a reliable suggestion is provided for the selection of raw material suppliers of mixing stations.
Description
Technical Field
The invention belongs to the technical field of concrete production monitoring, and relates to an AIOT mixing station production whole process monitoring management platform.
Background
The concrete is one of the commonly used structural materials in the construction engineering, has the characteristics of high strength, good stability and the like, and the traditional concrete production often needs manual operation and manual monitoring, and has a plurality of unreliable factors.
The current monitoring and management of the production process of the AIOT mixing station mainly tends to monitor and manage various operations of various production links, such as monitoring the stirring time, speed and material proportioning condition of the stirring link of the AIOT mixing station, so as to manage various production processes of the AIOT mixing station, but the current monitoring and management of the material proportioning link also has the following problems: 1. the method is not combined with the conveying condition of the follow-up concrete to carry out comprehensive analysis, the possibility of quality change during the conveying of the follow-up concrete cannot be reduced, meanwhile, convenience is not provided for the conveying of the follow-up concrete, the accuracy and the suitability of raw material proportion cannot be guaranteed, and therefore the concrete generation strength and the concrete generation quality cannot be guaranteed.
2. The concrete is not combined with the actual production environment condition of the concrete, and the concrete has different requirements on different raw material proportions in different production environments, so that the rationality of the raw material proportions cannot be ensured at present, the follow-up production links are not convenient to develop smoothly, and certain defects exist.
3. The planned proportion and the actual proportion of the raw materials are not subjected to contrast analysis, namely the proportion difference condition of the raw materials is not subjected to deep analysis, and the possible product quality problems can not be found and eliminated in time, so that the production risk can not be reduced in time, and reliable suggestions can not be provided for the selection of subsequent raw material suppliers, so that the influence of the raw materials on the concrete production quality and the purchasing cost of the raw materials can not be reduced, and the production quality and the production efficiency of the concrete can not be guaranteed.
Disclosure of Invention
In view of this, in order to solve the problems set forth in the background art, an AIOT mixing station production overall process monitoring and management platform is now proposed.
The aim of the invention can be achieved by the following technical scheme: the invention provides an AIOT mixing station production whole process monitoring management platform which comprises a concrete transportation information extraction module, wherein the concrete transportation information extraction module is used for extracting the position of a target AIOT mixing station and transportation information and purchasing information of current mixing concrete.
And the in-station environment information monitoring module is used for monitoring the temperature and the humidity in each monitoring time period in the target AIOT mixing station.
The raw material state monitoring module is used for monitoring state information of each purchased raw material in the current target AIOT mixing station, wherein each purchased raw material is aggregate and cement respectively.
The raw material proportion interference setting module is used for setting each proportion interference raw material and proportion interference factors of each proportion interference raw material.
The raw material quality analysis module is used for analyzing the quality adaptation degree of each purchased raw material and confirming the proper proportion of each raw material when the quality adaptation degree of a certain purchased raw material is lower than a set value.
The raw material quality deviation analysis module is used for marking the purchased raw materials with the quality adaptation degree lower than the set value as deviation raw materials, analyzing the quality deviation trend degree of the deviation raw materials, and simultaneously confirming early warning purchased raw materials.
And the material information base is used for storing the degree of adaptability of the purchasing manufacturer and the quality of each purchasing raw material in each purchasing history and storing the set proportion of water, aggregate, cement and admixture in the current mixed concrete.
And the raw material proportion feedback terminal is used for feeding back the proper proportion of each raw material and early warning purchasing raw materials.
Preferably, the raw materials include water, aggregate, cement and admixture.
The transportation information comprises a transportation place position and an expected transportation time period, and the purchase information comprises a purchase merchant corresponding to each purchase raw material.
The state information of the aggregate comprises weight, comprehensive contour volume, particle type number, diameter and ratio of each particle type, and the state information of the cement comprises caking degree, fineness and compactness.
Preferably, setting each proportion of the interfering raw material and the proportion interference factor of each proportion of the interfering raw material includes: according to the temperature and humidity in each monitoring time period, counting the temperature coincidence degree of the target AIOT mixing stationAnd moisture compliance +.>。
If it isOr->If true, cement and water are used as the proportion interference raw materials, and the cement and the water are used as the proportion interference raw materials>Respectively is a set parameterThe temperature compliance and the humidity compliance of the light.
If it is and />At the same time, statistics of transport quality variability +.>And when->When the water is used as a proportion interference raw material, < + >>To set the degree of variation in the transport quality.
If the proportion interference raw material is water, counting the proportion interference factor of the water，E is a natural constant.
If the proportion interference raw material is cement, counting the proportion interference factor of the cement，。
Preferably, the statistics of the temperature compliance of the target AIOT mixing station includes: the temperature of each monitoring period is recorded asAverage monitoring temperature is obtained by mean value calculation>Simultaneously extracting the highest temperature from the temperature of each monitoring periodAnd minimum temperature->T represents the monitoring period number, +.>。
Statistical temperature compliance，/>M is the number of monitoring periods, +.>Is the set allowable temperature difference.
Preferably, the analyzing the quality adaptation degree of each purchased raw material includes: extracting state information of aggregate in raw materials, and further extracting weight, comprehensive contour volume, particle type number, diameter and duty ratio of each particle type.
Counting the uniformity of aggregate particlesAnd aggregate quality compliance->Furthermore, the quality adaptation degree of aggregate is counted>，，/>And evaluating the correction factors for the set aggregate quality.
Extracting state information of cement in raw materials, and further extracting caking degreeFineness->And compactness->Counting quality adaptation degree of cement>，/>，/>、/> and />Setting the caking property, the fineness and the compactness of the reference cement respectively, and adding +.>And evaluating the correction factors for the cement quality.
Preferably, the concrete statistical process of the aggregate particle uniformity is as follows: the weight of aggregate is compared with the comprehensive contour volume, and the ratio is recorded asAt the same time, the number of particle types of the aggregate is recorded as +.>。
The diameter of each particle type is designated asR represents the particle species number,/->Counting aggregate particle uniformity->，/>，/>The grammage value per unit volume, the unit grammage deviation, and the particle type number of the set reference are respectively, and n represents the particle type number.
Preferably, the concrete statistical process of the aggregate quality conformity is as follows: the weight and the comprehensive contour volume of the aggregate are respectively recorded as and />。
Extraction of maximum diameter from diameter of each particle speciesAnd minimum diameter>And extracting the ratio of maximum diameter corresponding particle species from the ratio of each particle species ∈>。
Counting the quality conformity degree of aggregate，/>，/> and />Basic compliance and dimensional compliance, respectively.
，/>、/>、/>、/>Respectively setting reference aggregate weight deviation, aggregate weight, aggregate volume deviation and aggregate volume, +.>The correction factor is evaluated for the set substantial compliance.
，/>Maximum diameter difference, allowable maximum diameter particle ratio, minimum diameter difference, allowable minimum diameter, respectively, of the set reference>The correction factor is evaluated for the set size.
Preferably, the specific confirmation process for confirming the proper proportion of each raw material is as follows: a1, extracting the set proportions of water, aggregate, cement and admixture in the current mixed concrete from a material information base, and respectively marking as、/>、/> and />。
A2, when the mixture ratio of the raw materials is not interfered, and />When the set proportion of the aggregate is used as the proper proportion of the aggregate, the proper proportion of the cement, the water and the admixture is confirmed and is respectively marked as +.>, wherein ,，/>the quality adaptation difference of the unit cement is set to correspond to the reference cement proportion increment.
，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
，/>The unit cement proportion increment is set to correspond to the proportion increment of the reference additive.
A3, when the mixture ratio of the raw materials is not interfered, and />When the aggregate, cement, water and admixture were confirmedThe proper proportion of the aggregate is recorded as +.>。
wherein ,，/>the quality adaptation difference of the unit aggregate corresponds to the proportion increment of the reference aggregate.
，/>The unit aggregate proportion increment is set to correspond to the reference cement proportion increment,/->。
，/>The quality adaptation difference for the set unit aggregate corresponds to the reference additive increment.
A4, when the proportion of the interfering raw materials does not exist, and />And when the method is used, the proper proportion of aggregate, cement, water and additive is counted.
A5, when the mixture ratio of the interfering raw materials exists, and />If the proportion interferes with the existence of cement in the raw materials, the set proportion of the aggregate is taken as the proper proportion of the aggregate, the proper proportion of the cement, the water and the additive is confirmed, if the proportion interferes with the existence of water in the raw materials, the proper proportion of the water is confirmed, and the set proportion of the aggregate, the cement and the additive is taken as the proper proportion.
A6, when the quality adaptation degree of the aggregate and the cement exists and the set value is small, confirming the proper proportion of the aggregate, the cement, the water and the admixture.
Preferably, in the step A5, the proper proportion of cement, water and admixture is confirmed, and the specific determination process is as follows: b1, extracting the proportion interference factor of cement if only cement exists in the proportion interference raw materialsCounting proper proportion of cement>，，/>The cement proportion can be increased for setting the condition of fixing the aggregate.
B2, statistics of proper proportion of water，/>，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
B3, counting proper proportion of the admixture，/>，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
If the proportion of the cement and the water exist in the interfering raw materials, the proper proportion of the cement is the same as that of the cement in the step B1, and the proper proportion of the additive is the same as that of the additive in the step B3.
B5, ratio interference factor of extracted waterProper proportion of statistical water>，，/>In order to set the allowable water ratio under the condition of fixing aggregate.
Preferably, the analysis deviates the quality deviation trend degree of the raw materials, and the specific analysis process is as follows: and locating the purchasing merchant corresponding to the deviation raw material from purchasing information corresponding to the concrete of the current mixing station as a target purchasing merchant.
And extracting the purchasing quotient and the quality adaptation degree of each purchasing raw material in the history of each purchasing from the material information base, thereby screening the historical purchasing times of the corresponding purchasing deviation raw materials of the target purchasing quotient and the quality adaptation degree of each purchasing in the history.
And constructing a quality adaptation degree change curve by taking the historical purchasing order as an abscissa and the quality adaptation degree as a comprehensive coordinate, and constructing a quality reference line in the quality adaptation degree change curve by taking the reference quality adaptation degree.
Locating a slope value from the curve as a quality adaptation growth rateAt the same time fixLocating the adaptation-degree-variation-curve length below the quality-reference-line +.>。
The length of the quality adaptation degree change curve is recorded asStatistical deviation trend of deviation raw material +.>，，/>Respectively setting the adaptive growth rate of the reference, the length ratio of the lower curve and the +.>The correction factor is trended for the deviation.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the matching interference raw materials and the matching interference factors are set, and quality adaptation degree analysis is carried out on the purchased raw materials, so that the proper matching of the raw materials is confirmed, the problem of limitation of corresponding monitoring and management of the current material matching links is effectively solved, the conveying condition and the actual production environment condition of the follow-up concrete are fully combined, the accuracy, the suitability and the rationality of setting the matching of the raw materials of the concrete are ensured, the generation strength and the generation quality of the concrete are ensured, the possibility of quality change in the conveying process of the follow-up concrete is effectively reduced, convenience is provided for conveying the follow-up concrete, the smooth development of the follow-up production links is also facilitated, and the defect of corresponding monitoring and management of the current material matching links is avoided.
(2) When the proper proportion of each raw material is confirmed, the invention improves the normalization and the reference of the proper proportion setting of each raw material by carrying out the deep analysis according to the adaptation degree of each purchased raw material and combining the proportion association and the influence of each raw material, thereby not only providing more reliable proportion for the current concrete production of the mixing station, but also reducing the possibility of overlarge production quality difference in the concrete production process of the mixing station, thereby ensuring the availability and the use guarantee of the subsequent concrete.
(3) When the quality adaptation degree analysis of the purchased raw materials is carried out, the defects existing in the conventional material analysis at present are overcome by carrying out detailed analysis on the particle uniformity, the quality state of cement and the like of the aggregate, the states of the aggregate and the cement are intuitively and truly displayed, and a reliable data base is provided for setting the proportion of each subsequent raw material.
(4) According to the invention, the quality deviation trend is analyzed, so that the deep analysis of the quality difference condition of the raw materials is realized, the subsequent production risk is timely reduced, and meanwhile, a reliable decision suggestion is provided for the selection of a mixing station deviation raw material supplier, so that the influence of the raw materials on the concrete production quality and the purchasing cost of the raw materials are effectively reduced, and the production quality and the production efficiency of the concrete are effectively ensured.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present 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 connection of the modules of the system of the present invention.
FIG. 2 is a schematic diagram of the influence relationship of the raw material proportion in the 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 invention provides an AIOT mixing station production whole process monitoring and management platform, which comprises a concrete transportation information extraction module, an in-station environment information monitoring module, a raw material state monitoring module, a raw material proportioning interference setting module, a raw material quality analysis module, a raw material quality deviation analysis module, a material information base and a raw material proportioning feedback terminal.
The raw material quality analysis module is respectively connected with the raw material state monitoring module, the raw material proportioning disturbance setting module, the raw material quality deviation analysis module, the material information base and the raw material proportioning feedback terminal, the raw material proportioning disturbance setting module is respectively connected with the concrete transportation information extraction module and the in-station environment information monitoring module, and the raw material quality deviation analysis module is respectively connected with the material information base and the raw material proportioning feedback terminal.
The concrete transportation information extraction module is used for extracting the position of the target AIOT mixing station, and the transportation information and the purchase information of the current mixing concrete.
Specifically, the transportation information comprises a transportation place and an expected transportation time period, and the purchase information comprises a corresponding buyer of each purchased raw material.
The in-station environment information monitoring module is used for monitoring the temperature and the humidity in each monitoring time period in the target AIOT mixing station.
The raw material state monitoring module is used for monitoring state information of each purchased raw material in the current target AIOT mixing station, wherein each purchased raw material is aggregate and cement respectively.
Specifically, the state information of the aggregate includes weight, comprehensive contour volume, number of particle types, and diameters and duty ratios of the particle types, the state information of the cement includes caking degree, fineness and compactness, and in one embodiment, the weight of the aggregate is obtained by monitoring through a weight sensor arranged in a monitoring area where the aggregate is located, and the comprehensive contour volume, the number of particle types, the diameters and duty ratios of the particle types are obtained by monitoring through a high-definition three-dimensional camera arranged in the monitoring area where the aggregate is located.
It is to be explained that the caking degree of cement is used for vibrating through a vibration instrument arranged at the bottom of a monitoring area where cement is located, and three-dimensional image acquisition is carried out on the vibrated cement through a high-definition camera arranged in the monitoring area where cement is located, so that the comprehensive contour volume of cement, the number of blocky cements and the volume of each blocky cement are counted, the volumes of the blocky cements are accumulated and compared with the comprehensive contour volume of cement, and the caking degree of cement is obtained.
It should be further explained that the fineness of the cement is obtained by monitoring in a vibration screening manner, wherein the monitoring fineness in the vibration screening manner is a mature technology in the prior art, and details are not described herein, and the compactness of the cement refers to the ratio of the volume of the cement to the weight of the cement, wherein the weight of the cement is obtained by monitoring through a weight sensor arranged in a monitoring area where the cement is located.
The raw material proportion interference setting module is used for setting each proportion interference raw material and proportion interference factors of each proportion interference raw material.
Illustratively, determining the proportionality interfering raw material and the proportionality interfering factor of the proportionality interfering raw material comprises: r1, counting the temperature coincidence degree of the target AIOT mixing station according to the temperature and the humidity in each monitoring time periodCompliance with humidity，/> and />The statistical principle is the same.
Understandably, the statistics of target AIOT mix station temperature compliance include: the temperature of each monitoring period is recorded asAverage monitoring temperature is obtained by mean value calculation>Simultaneously extracting the highest temperature +.>And minimum temperature->T represents the monitoring period number, +.>。
Statistical temperature compliance，/>M is the number of monitoring periods, +.>Is the set allowable temperature difference.
R2, ifOr->If true, cement and water are used as the proportion interference raw materials,the temperature compliance and the humidity compliance of the set reference are respectively set.
R3, if and />At the same time establish, count and transportDegree of variability of mass transport->And when->When the water is used as a proportion interference raw material, < + >>To set the degree of variation in the transport quality.
It should be noted that, the specific statistical process of the transportation quality variability is: and extracting the position of the target AIOT mixing station and the transportation information of the current mixing concrete, and conveying the position and the expected transportation time period from the transportation information.
Acquiring the distance between the position of the target AIOT mixing station and the corresponding conveying position of the current mixing concrete as the conveying distance of the current mixing concrete。
Extracting illumination intensity for an expected transportation period from a meteorological platformAnd temperature->Statistics of transport quality variability +.>，/>，/>Respectively set reference transportation distance, reference illumination intensity and reference transportation temperature, +.>The duty cycle weights are evaluated for setting reference quality variability.
R4, if the proportion is disturbedWhen the raw material is water, the proportion interference factor of the water is counted，E is a natural constant.
R5, if the proportioning disturbance raw material is cement, counting the proportioning disturbance factor of the cement，。
The raw material quality analysis module is used for analyzing the quality adaptation degree of each purchased raw material and confirming the proper proportion of each raw material when the quality adaptation degree of a certain purchased raw material is lower than a set value.
Illustratively, analyzing the quality fitness of each purchased raw material includes: and Y1, extracting state information of aggregate in the raw materials, and further extracting weight, comprehensive contour volume, particle type number, diameter and duty ratio of each particle type.
Y2, counting the uniformity of aggregate particlesAnd aggregate quality compliance->Furthermore, the quality adaptation degree of aggregate is counted>，，/>And evaluating the correction factors for the quality of the aggregate.
Further, the concrete statistical process of the aggregate particle uniformity is as follows: the weight and the comprehensive contour volume of aggregate are carried outComparing the ratio, and recording the ratio asAt the same time, the number of particle types of the aggregate is recorded as +.>。
The diameter of each particle type is designated asR represents the particle species number,/->Counting aggregate particle uniformity->，/>，/>The grammage value per unit volume, the unit grammage deviation, and the particle type number of the set reference are respectively, and n represents the particle type number.
Further, the concrete statistical process of the aggregate quality conformity is as follows: the weight and the comprehensive contour volume of the aggregate are respectively recorded as and />。
Extraction of maximum diameter from diameter of each particle speciesAnd minimum diameter>And extracting the ratio of maximum diameter corresponding particle species from the ratio of each particle species ∈>。
Counting the quality conformity degree of aggregate，/>，/> and />Basic compliance and dimensional compliance, respectively.
，/>、/>、/>、/>Respectively setting reference aggregate weight deviation, aggregate weight, aggregate volume deviation and aggregate volume, +.>The correction factor is evaluated for the set substantial compliance.
，/>Maximum diameter difference, allowable maximum diameter particle ratio, minimum diameter difference, allowable minimum diameter, respectively, of the set reference>The correction factor is evaluated for the set size.
Y3, extracting state information of cement in raw materials, and further extracting caking degreeFineness->And compactness->Counting quality adaptation degree of cement>，/>，/>、/> and />Setting the caking property, the fineness and the compactness of the reference cement respectively, and adding +.>And evaluating the correction factors for the cement quality.
When the quality adaptation degree analysis of the purchased raw materials is carried out, the defects existing in the conventional material analysis at present are avoided by carrying out detailed analysis on the particle uniformity, quality state of cement and the like of the aggregate, the states of the aggregate and the cement are intuitively and truly displayed, and a reliable data base is provided for setting the proportion of each subsequent raw material.
Further exemplary, the specific confirmation process for confirming the proper proportions of the raw materials is as follows: a1, extracting the current mixed concrete from a material information baseThe set proportions of water, aggregate, cement and additive are respectively recorded as、/>、/>And。
referring to fig. 2, in one embodiment, the change in the aggregate ratio directly affects the change in the cement ratio and the change in the admixture ratio, and the change in the cement ratio directly affects the change in the water ratio and the admixture ratio, so that the aggregate ratio acts as a direct influence element of the cement ratio and the admixture ratio, and the cement ratio acts as a direct influence element of the water ratio and the admixture ratio.
A2, when the mixture ratio of the raw materials is not interfered, and />When the set proportion of the aggregate is used as the proper proportion of the aggregate, the proper proportion of the cement, the water and the admixture is confirmed and is respectively marked as +.>, wherein ,，/>the quality adaptation difference of the unit cement is set to correspond to the reference cement proportion increment.
，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
，/>The unit cement proportion increment is set to correspond to the proportion increment of the reference additive.
A3, when the mixture ratio of the raw materials is not interfered, and />When the mixture ratio of the aggregate, cement, water and the admixture is confirmed, and the proper mixture ratio of the aggregate is recorded as +.>。
wherein ,，/>the quality adaptation difference of the unit aggregate corresponds to the proportion increment of the reference aggregate.
，/>The unit aggregate proportion increment is set to correspond to the reference cement proportion increment,/->。
，/>The quality adaptation difference for the set unit aggregate corresponds to the reference additive increment.
A4, when the proportion of the interfering raw materials does not exist, and />And when the method is used, the proper proportion of aggregate, cement, water and additive is counted.
The proper proportion of the aggregate and the additive is the same as that of the aggregate and the additive in the step A3, wherein the proper proportion of the cementThe statistical formula of (2) is->。
Proper proportion of waterThe statistical formula of (2) is->。
A5, when the mixture ratio of the interfering raw materials exists, and />If the proportion interferes with the existence of cement in the raw materials, the set proportion of the aggregate is taken as the proper proportion of the aggregate, the proper proportion of the cement, the water and the additive is confirmed, if the proportion interferes with the existence of water in the raw materials, the proper proportion of the water is confirmed, and the set proportion of the aggregate, the cement and the additive is taken as the proper proportion.
Specifically, in the step A5, the proper proportion of cement, water and an additive is confirmed, and the determination process is as follows:b1, extracting the proportion interference factor of cement if only cement exists in the proportion interference raw materialsCounting proper proportion of cement>，，/>The cement proportion can be increased for setting the condition of fixing the aggregate.
B2, statistics of proper proportion of water，/>，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
B3, counting proper proportion of the admixture，/>，/>The unit cement proportion increment is set to correspond to the reference water proportion increment.
If the proportion of the cement and the water exist in the interfering raw materials, the proper proportion of the cement is the same as that of the cement in the step B1, and the proper proportion of the additive is the same as that of the additive in the step B3.
B5, ratio interference factor of extracted waterProper proportion of statistical water>，，/>In order to set the proper proportion of water for water proportion statistics under the condition of fixed aggregate.
Still more specifically, when only water is present in the mix-disturbed raw material, the specific statistical formula of the proper mix-up of water is，/>。
A6, when the quality adaptation degree of the aggregate and the cement is small and the set value is smaller, confirming the proper proportion of the aggregate, the cement, the water and the additive, thereby obtaining the proper proportion of each raw material.
In one embodiment, identifying the appropriate proportions of aggregate, cement, water, and admixture includes identifying the appropriate proportions of the corresponding aggregate, cement, water, and admixture for nine scenarios.
Specifically, the first scene is when the proportioning is disturbed, and only cement exists in the raw materialsWhen (1).
Wherein, the proper proportion of the aggregate in the first scene is the same as that of the aggregate in the step A3, and the proper proportion of the cementThe statistical formula of (2) is: />。
Proper proportion of waterThe statistical formula of (2) is: />。
Proper proportion of additiveThe statistical formula of (2) is: />。
The second scene is that when the mixture ratio is interfered, only cement exists in the materialWhen (1).
The set proportion of the aggregate in the second scene is the proper proportion of the aggregate and the proper proportion of the cementThe statistical formula of (2) is: />。
Proper proportion of waterThe statistical formula of (2) is: />。
Proper proportion of additiveThe statistical formula of (2) is: />。
The third scene is that when the mixture ratio is interfered, only cement exists in the material and />When present at the same time.
The proper proportion of the aggregate in the third scene is the same as that of the aggregate in the step A3, and the proper proportion of the cementThe statistical formula of (2) is: />。
Proper proportion of waterThe statistical formula of (2) is:
。
proper proportion of additiveThe statistical formula of (2) is:
。
the fourth scene is that when the mixture ratio is interfered, only water exists in the materialWhen (1).
The proper proportion of the aggregate, the cement and the additive in the fourth scene is the same as the proper proportion of the aggregate, the cement and the additive in the step A3.
Proper proportion of waterThe statistical formula of (2) is: />。
The fifth scene is when the proportion interferes with the proportionDisturbing the presence of water only in the raw materialWhen (1).
The proper proportion of aggregate, cement and admixture in the fifth scene is the same as that in the step A3, and the proper proportion of waterThe statistical formula of (2) is: />。
The sixth scenario is when the water is only present in the mix-disturbed raw material and />When present at the same time.
The proper proportion of the aggregate in the sixth scene is the same as that in the step A3, and the corresponding proper proportion of the aggregate, the cement and the additive is the same as that in the step A4.
Proper proportion of waterThe statistical formula of (2) is:
。
the seventh scene is that when the mixture ratio is interfered, water and cement are simultaneously present in the raw materialsWhen (1).
The proper proportion of aggregate in the seventh scene is the same as that in the step A3, and the proper proportion of cementThe statistical formula of (2) is: />。
Proper proportion of waterThe statistical formula of (2) is:
。
proper proportion of additiveThe statistical formula of (2) is:
。
an eighth scene is that when the mixture ratio is interfered, water and cement are simultaneously present in the raw materialsWhen (1).
The set proportion of the aggregate in the eighth scene is the proper proportion of the aggregate, and the proper proportion of the cement and the proper proportion of the additive are the same as the proper proportion of the cement and the proper proportion of the additive in the second scene.
Proper proportion of waterThe statistical formula of (2) is: />。
The ninth scene is that when the mixture ratio is interfered, water and cement are simultaneously present in the raw materialsAndwhen present at the same time. />
The proper proportion of the aggregate in the ninth scene is the same as that in the step A3, and the proper proportion of the cement and the proper proportion of the additive are the same as those in the third scene.
Proper proportion of waterThe statistical formula of (2) is:
。
according to the embodiment of the invention, when the proper proportion of each raw material is confirmed, the proportion association and influence among raw materials are combined to carry out deep analysis according to the adaptation degree of each purchased raw material, so that the normalization and the reference of the proper proportion setting of each raw material are improved, more reliable proportion is provided for the current concrete production of the mixing station, the possibility of overlarge production quality difference in the concrete production process of the mixing station is reduced, and the availability and the use guarantee of the follow-up concrete are ensured.
The raw material quality deviation analysis module is used for marking the purchased raw materials with the quality adaptation degree lower than a set value as deviation raw materials, analyzing the quality deviation trend degree of the deviation raw materials, and simultaneously confirming early warning purchased raw materials.
Illustratively, the quality deviation tendencies of the deviation raw materials are analyzed, and the specific analysis process is as follows: and locating the purchasing merchant corresponding to the deviation raw material from purchasing information corresponding to the concrete of the current mixing station as a target purchasing merchant.
And extracting the purchasing quotient and the quality adaptation degree of each purchasing raw material in the history of each purchasing from the material information base, thereby screening the historical purchasing times of the corresponding purchasing deviation raw materials of the target purchasing quotient and the quality adaptation degree of each purchasing in the history.
And constructing a quality adaptation degree change curve by taking the historical purchasing order as an abscissa and the quality adaptation degree as a comprehensive coordinate, and constructing a quality reference line in the quality adaptation degree change curve by taking the reference quality adaptation degree.
Locating a slope value from the curve as a quality adaptation growth rateSimultaneously, the length of the adaptation degree change curve below the quality reference line is positioned>。
The length of the quality adaptation degree change curve is recorded asStatistical deviation trend of deviation raw material +.>，，/>Respectively setting the adaptive growth rate of the reference, the length ratio of the lower curve and the +.>The correction factor is trended for the deviation.
In one embodiment, the pre-warning purchase raw material refers to a deviation raw material having a quality deviation trend greater than a set point.
According to the embodiment of the invention, the quality deviation trend is analyzed, so that the deep analysis of the quality difference condition of the raw materials is realized, the subsequent production risk is timely reduced, and meanwhile, a reliable decision suggestion is provided for the selection of a mixing station deviation raw material supplier, so that the influence of the raw materials on the production quality of the concrete and the purchasing cost of the raw materials are effectively reduced, and the production quality and the production efficiency of the concrete are effectively ensured.
The material information base is used for storing the degree of adaptability of the purchasing manufacturer and the quality of each purchasing raw material in each purchasing history and storing the set proportion of water, aggregate, cement and admixture in the current mixed concrete.
And the raw material proportion feedback terminal is used for feeding back the proper proportion of each raw material and early warning purchasing raw materials.
According to the embodiment of the invention, the matching interference raw materials and the matching interference factors are set, quality adaptation degree analysis is carried out on the purchased raw materials, so that the proper matching of the raw materials is confirmed, feedback is carried out, the problem of limitation of corresponding monitoring and management of the current material matching links is effectively solved, the conveying condition and the actual production environment condition of the follow-up concrete are fully combined, the setting accuracy, the adaptation and the rationality of the matching of the raw materials of the concrete are ensured, the generation strength and the generation quality of the concrete are ensured, on the other hand, the possibility of quality change in the process of conveying the follow-up concrete is effectively reduced, convenience is provided for conveying the follow-up concrete, the smooth development of the follow-up production links is also facilitated, and the defect of corresponding monitoring and management of the current material matching links is avoided.
The foregoing is merely illustrative and explanatory of the principles of this 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 this invention or beyond the scope of this invention as defined in the claims.
Claims (7)
1. The utility model provides an AIOT mix station production overall process control management platform which characterized in that: the platform comprises:
the concrete transportation information extraction module is used for extracting the position of the target AIOT mixing station and the transportation information and purchase information of the current mixing concrete;
the in-station environment information monitoring module is used for monitoring the temperature and the humidity in each monitoring time period in the target AIOT mixing station;
the raw material state monitoring module is used for monitoring state information of each purchased raw material in the current target AIOT mixing station, wherein each purchased raw material is aggregate and cement respectively;
the raw material proportion interference setting module is used for setting each proportion interference raw material and proportion interference factors of each proportion interference raw material;
the setting of the proportion interference raw materials and the proportion interference factors of the proportion interference raw materials comprises the following steps:
according to the temperature and humidity in each monitoring time period, counting the temperature coincidence degree of the target AIOT mixing stationAnd moisture compliance +.>；
If it isOr->If true, cement and water are used as the proportion interference raw materials, and the cement and the water are used as the proportion interference raw materials>Respectively setting the temperature conformity and the humidity conformity of the reference;
if it is and />At the same time, statistics of transport quality variability +.>And when->When the water is used as a proportion interference raw material, < + >>To set the transportation qualityDegree of mutation;
if the proportion interference raw material is water, counting the proportion interference factor of the water，/>E is a natural constant;
if the proportion interference raw material is cement, counting the proportion interference factor of the cement，/>;
The raw material quality analysis module is used for analyzing the quality adaptation degree of each purchased raw material and confirming the proper proportion of each raw material when the quality adaptation degree of a certain purchased raw material is lower than a set value;
the specific confirmation process for confirming the proper proportion of each raw material comprises the following steps:
a1, extracting the set proportions of water, aggregate, cement and admixture in the current mixed concrete from a material information base, and respectively marking as、/>、/> and />；
A2, when the mixture ratio of the raw materials is not interfered, and />When the set proportion of the aggregate is used as the proper proportion of the aggregate, the proper proportion of the cement, the water and the admixture is confirmed and is respectively marked as +.>； wherein ,/>Indicating the quality fitness of the cement, +.>Representing the quality adaptation degree of the aggregate;
，/>the quality adaptation difference of the unit cement is set to correspond to the proportion increment of the reference cement;
，/>the unit cement proportioning increment corresponds to the reference water proportioning increment;
，/>the unit cement proportioning increment is set to correspond to the proportioning increment of the reference additive;
a3, when the mixture ratio of the raw materials is not interfered, and />When the mixture ratio of the aggregate, cement, water and the admixture is confirmed, and the proper mixture ratio of the aggregate is recorded as +.>；
wherein ,，/>the quality adaptation difference of the unit aggregate corresponds to the proportion increment of the reference aggregate;
，/>the unit aggregate proportion increment is set to correspond to the reference cement proportion increment,/->；
，/>The quality adaptation difference of the unit aggregate is set to correspond to the increment of the reference additive;
a4, when the proportion of the interfering raw materials does not exist, and />When in use, aggregate, cement and the like are counted,Proper proportion of water and additive;
a5, when the mixture ratio of the interfering raw materials exists, and />When the proportion interferes with cement in the raw materials, taking the set proportion of the aggregate as the proper proportion of the aggregate, confirming the proper proportion of the cement, the water and the additive, and when the proportion interferes with the water in the raw materials, confirming the proper proportion of the water, taking the set proportion of the aggregate, the cement and the additive as the proper proportion;
a6, when the quality adaptation degree of the aggregate and the cement exists and the set value is small, confirming the proper proportion of the aggregate, the cement, the water and the admixture;
in the step A5, the proper proportion of cement, water and additive is confirmed, and the specific determination process is as follows:
b1, extracting the proportion interference factor of cement if only cement exists in the proportion interference raw materialsCounting proper proportion of cement>，/>，/>The cement proportion is allowed to be increased for setting the condition of fixing the aggregate;
b2, statistics of proper proportion of water，/>，/>Setting a unit cement proportioning increment corresponding to a reference water proportioning increment;
b3, counting proper proportion of the admixture，/>，/>Setting a unit cement proportioning increment corresponding to a reference water proportioning increment;
if the proportion of the cement and the water exist in the interfering raw materials, the proper proportion of the cement is the same as that of the cement in the step B1, and the proper proportion of the additive is the same as that of the additive in the step B3;
b5, ratio interference factor of extracted waterProper proportion of statistical water>，/>，The water proportion is allowed to be increased for setting the condition of fixing the aggregate;
the raw material quality deviation analysis module is used for marking the purchased raw materials with the quality adaptation degree lower than a set value as deviation raw materials, analyzing the quality deviation trend degree of the deviation raw materials, and simultaneously confirming early warning purchased raw materials;
the material information base is used for storing the degree of adaptability of the purchasing manufacturer and the quality of each purchasing raw material in each purchasing history and storing the set proportion of water, aggregate, cement and admixture in the current mixed concrete;
and the raw material proportion feedback terminal is used for feeding back the proper proportion of each raw material and early warning purchasing raw materials.
2. The AIOT blending station production whole process monitoring management platform of claim 1, wherein: the raw materials comprise water, aggregate, cement and an additive;
the transportation information comprises a transportation place position and an expected transportation time period, and the purchase information comprises a purchaser corresponding to each purchased raw material;
the state information of the aggregate comprises weight, comprehensive contour volume, particle type number, diameter and proportion of each particle type, and the state information of the cement comprises caking degree, fineness and compactness.
3. The AIOT blending station production whole process monitoring management platform of claim 1, wherein: the statistical target AIOT mixing station temperature conformity comprises:
the temperature of each monitoring period is recorded asAverage monitoring temperature is obtained by mean value calculation>Simultaneously extracting the highest temperature +.>And minimum temperature->T represents the number of the monitoring period,；
statistical temperature compliance，/>M is the number of monitoring periods, +.>Is the set allowable temperature difference.
4. The AIOT blending station production whole process monitoring management platform of claim 1, wherein: the analyzing the quality adaptation degree of each purchased raw material comprises the following steps:
extracting state information of aggregate in raw materials, and further extracting weight, comprehensive contour volume, particle type number, diameter and duty ratio of each particle type;
counting the uniformity of aggregate particlesAnd aggregate quality compliance->Furthermore, the quality adaptation degree of aggregate is counted>，，/>Evaluating a correction factor for the set aggregate quality;
extracting state information of cement in raw materials, and further extracting caking degreeFineness->And compactness->Counting quality adaptation degree of cement>，/>，/>、/> and />Setting the caking property, the fineness and the compactness of the reference cement respectively, and adding +.>And evaluating the correction factors for the cement quality.
5. The AIOT blending station production whole process monitoring management platform of claim 4, wherein: the concrete statistical process of the aggregate particle uniformity is as follows:
the weight of aggregate is compared with the comprehensive contour volume, and the ratio is recorded asAt the same time, the number of particle types of the aggregate is recorded as +.>；
The diameter of each particle type is designated asR represents the particle species number,/->Counting aggregate particle uniformity->，/>，/>The grammage value per unit volume, the unit grammage deviation, and the particle type number of the set reference are respectively, and n represents the particle type number.
6. The AIOT blending station production whole process monitoring management platform of claim 4, wherein: the concrete statistical process of the aggregate quality conformity degree comprises the following steps:
the weight and the comprehensive contour volume of the aggregate are respectively recorded as and />；
Extraction of maximum diameter from diameter of each particle speciesAnd minimum diameter>And extracting the ratio of maximum diameter corresponding particle species from the ratio of each particle species ∈>；
Counting the quality conformity degree of aggregate，/>，/> and />Basic compliance and dimensional compliance, respectively;
，/>、/>、/>、/>respectively setting reference aggregate weight deviation, aggregate weight, aggregate volume deviation and aggregate volume, +.>Evaluating the correction factor for the set basic coincidence;
，maximum diameter difference, allowable maximum diameter particle ratio, minimum diameter difference, allowable minimum diameter, respectively, of the set reference>The correction factor is evaluated for the set size.
7. The AIOT blending station production whole process monitoring management platform of claim 1, wherein: the quality deviation tendencies of the analysis deviation raw materials are as follows:
locating a purchasing manufacturer corresponding to the deviation raw material from purchasing information corresponding to the concrete of the current mixing station as a target purchasing manufacturer;
extracting the purchasing quotient and the quality adaptation degree of each purchasing raw material in each historical purchasing from a material information base, and screening the historical purchasing times of the corresponding purchasing deviation raw materials of the target purchasing quotient and the quality adaptation degree of each purchasing in the history;
taking the historical purchasing order as an abscissa, taking the quality adaptation degree as a comprehensive coordinate, constructing a quality adaptation degree change curve, and constructing a quality reference line in the quality adaptation degree change curve by referring to the quality adaptation degree;
locating a slope value from the curve as a quality adaptation growth rateSimultaneously, the length of the adaptation degree change curve below the quality reference line is positioned>；
The length of the quality adaptation degree change curve is recorded asStatistical deviation trend of deviation raw material +.>，，/>Respectively setting the adaptive growth rate of the reference, the length ratio of the lower curve and the +.>The correction factor is trended for the deviation.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000155613A (en) * | 1998-11-19 | 2000-06-06 | Nikko Co Ltd | Remote maintenance managing device for readymixed concrete manufacturing plant |
| GB0623446D0 (en) * | 2002-08-31 | 2007-01-03 | Hymix Ltd | Monitoring a concrete mixer |
| CN104898622A (en) * | 2015-05-21 | 2015-09-09 | 河海大学 | Concrete construction quality intelligent visualized monitoring system based on cloud technology platform |
| CN108803523A (en) * | 2018-06-27 | 2018-11-13 | 广东正来科技有限公司 | A kind of concrete quality monitoring system |
| CN208742477U (en) * | 2018-09-27 | 2019-04-16 | 新疆研科节能科技有限公司 | A kind of cement water reducing agent automatic preparing device |
| CN109676795A (en) * | 2018-12-13 | 2019-04-26 | 中山艾尚智同信息科技有限公司 | A kind of concrete intelligence kneading control method and its system |
| CN115112166A (en) * | 2022-05-26 | 2022-09-27 | 杭州高讯物联网科技有限公司 | Wisdom mixing station quality management and control system |
| CN115326137A (en) * | 2022-08-10 | 2022-11-11 | 成都锐和兴建材有限公司 | Commercial concrete production line process flow online monitoring management platform |
| CN116079902A (en) * | 2023-02-14 | 2023-05-09 | 滁州宝固建材科技有限公司 | Regulation system of raw and other materials mix proportion is prepared to recycled concrete |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2807339C (en) * | 2008-05-23 | 2015-01-13 | Amtec Meter & Controls, Inc. | Concrete material dispensing system |
-
2023
- 2023-06-30 CN CN202310786002.7A patent/CN116501004B/en active Active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2000155613A (en) * | 1998-11-19 | 2000-06-06 | Nikko Co Ltd | Remote maintenance managing device for readymixed concrete manufacturing plant |
| GB0623446D0 (en) * | 2002-08-31 | 2007-01-03 | Hymix Ltd | Monitoring a concrete mixer |
| CN104898622A (en) * | 2015-05-21 | 2015-09-09 | 河海大学 | Concrete construction quality intelligent visualized monitoring system based on cloud technology platform |
| CN108803523A (en) * | 2018-06-27 | 2018-11-13 | 广东正来科技有限公司 | A kind of concrete quality monitoring system |
| CN208742477U (en) * | 2018-09-27 | 2019-04-16 | 新疆研科节能科技有限公司 | A kind of cement water reducing agent automatic preparing device |
| CN109676795A (en) * | 2018-12-13 | 2019-04-26 | 中山艾尚智同信息科技有限公司 | A kind of concrete intelligence kneading control method and its system |
| CN115112166A (en) * | 2022-05-26 | 2022-09-27 | 杭州高讯物联网科技有限公司 | Wisdom mixing station quality management and control system |
| CN115326137A (en) * | 2022-08-10 | 2022-11-11 | 成都锐和兴建材有限公司 | Commercial concrete production line process flow online monitoring management platform |
| CN116079902A (en) * | 2023-02-14 | 2023-05-09 | 滁州宝固建材科技有限公司 | Regulation system of raw and other materials mix proportion is prepared to recycled concrete |
Non-Patent Citations (1)
| Title |
|---|
| 商品混凝土塌落度控制的研究;李晓媛, 程志平, 李建军;西部探矿工程(02);全文 * |
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