Intelligent batching system for concrete mixing plant operation

Abstract

The present application belongs to the technical field of concrete mixing station operation monitoring, and discloses a kind of concrete mixing station operation intelligent batching system, including material conveying equipment setting module, material conveying data acquisition module, material conveying data analysis module, material conveying equipment control module, stock bin data acquisition module, stock bin raw material analysis module and stock bin raw material supplement module.The present application carries out air supply equipment control demand judgment based on pipeline attachment content evaluation and material conveying flow abnormality evaluation when carrying out air supply equipment control, can guarantee normal material conveying, improve the accuracy of air supply equipment control, and guarantee the continuity of material conveying.The present application carries out raw material supplement demand analysis based on the residual raw material evaluation and monitoring environment evaluation of each raw material when carrying out stock bin raw material supplement demand analysis, can accurately control raw material supplement opportunity, ensure production coherence, and effectively guarantee raw material and product quality stability, improve overall operation efficiency.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of concrete mixing station operation monitoring, and relates to an intelligent batching system for concrete mixing station operation. BACKGROUND

[0002] A concrete mixing station is a factory-like facility specially used for producing concrete, which mixes and stirs cement, sand, water and other raw materials according to certain proportions to finally produce concrete meeting the needs of construction and the like. Its main function is to realize efficient, accurate and stable production of concrete to ensure uniform quality of concrete and meet the requirements of different projects in strength, work performance and the like. The work of a concrete mixing station usually includes multiple processes such as raw material supply, feeding, material conveying and mixing, among which raw material supply and material conveying are important processes for ensuring smooth operation of a concrete mixing station. Therefore, intelligent batching analysis for concrete mixing station operation based on raw material supply and material conveying is of great significance.

[0003] In the prior art, there are also related schemes for monitoring the operation of a concrete mixing station. For example, a Chinese patent application for an automatic batching system of a concrete mixing station with publication No. CN105690568B, which includes a raw material storage system, a raw material weighing system, a mixer system, a raw material conveying system and a control system. The raw material storage system includes three silos arranged side by side. The raw material conveying system is composed of a belt conveyor and a bucket elevator. The raw material weighing system includes three belt scales, which are located above the belt conveyor and below the openings of the silos. The automatic batching system can meet the large-scale concrete production process, accurately weigh and convey multiple raw materials, ensure product quality, and realize accurate control and efficient management of the concrete batching process, thereby obviously avoiding problems such as complicated and disordered procedures in traditional production batching process, chaotic record management in the batching process and serious waste of batching resources.

[0004] In addition, a Chinese patent application for a control method for batching precision of a concrete mixing device with publication No. CN102658600A, which includes: entering a formula graduation calculation module after starting batching, reading a stable value module, a formula target module, a record batching deviation module, and then entering the fifth step, a formula precision calculation module is used to calculate the precision of each formula. When the absolute value of the batching precision module is greater than or equal to the set precision, return to the first step. When the absolute value of the batching precision module is less than or equal to the set precision, return to the second step to record the stable value module for recording and storing. The present application stores different deviation modes according to different formulas, solves the problem of large fluctuations in batching precision caused by changes in material formula, and realizes the effect of improving the precision of dynamic batching. The more the same formula is produced, the more stable the system is, and the higher the precision is. When batching different formulas, the corresponding stable value of the formula is read, thereby realizing the effect of improving the precision of dynamic batching.

[0005] The above two schemes although put forward some solutions for the operation monitoring of the concrete mixing station, but still have certain limitations: on the one hand, the existing technical solutions monitor the batching process and then mechanically batch and deliver, lack control of the batching process delivery parameters, resulting in difficulty in guaranteeing batching accuracy, affecting product quality stability, reducing production efficiency, and poor adaptability to different raw materials, unable to flexibly adjust according to raw material characteristics, restricting production links. On the other hand, the existing technical solutions only analyze based on the weight of the raw material when monitoring the remaining raw material of the corresponding bin of the raw material, ignoring the influence of the raw material storage environment. This analysis method may mix deteriorated raw materials into the production link, causing serious quality and safety hazards, changing the original batching applicability, and making the subsequent reaction unable to proceed as planned, disrupting the entire production order. SUMMARY

[0006] In view of this, in order to solve the problems raised in the background art, an intelligent batching system for the operation of a concrete mixing station is proposed.

[0007] The object of the present application can be achieved by the following technical solution: an intelligent batching system for the operation of a concrete mixing station, comprising: a material conveying equipment setting module for setting material conveying equipment at a target concrete mixing station, the material conveying equipment comprising a plurality of feeding ports, a material conveying pipeline and a wind supply device, each feeding port being connected to a different bin.

[0008] A material conveying data acquisition module for monitoring the material conveying equipment when the target concrete mixing station is working, acquiring three-dimensional data of the material conveying pipeline using a three-dimensional scanning device, and acquiring the material conveying flow of the material conveying pipeline using a flow monitoring device.

[0009] A material conveying data analysis module for analyzing the pipe attachment content evaluation of the material conveying pipeline based on the three-dimensional data of the material conveying pipeline, and analyzing the material conveying flow anomaly evaluation of the material conveying pipeline based on the material conveying flow of the material conveying pipeline.

[0010] A material conveying equipment control module for determining whether material conveying equipment control is needed, and further performing material conveying control operations if needed.

[0011] A bin data acquisition module for monitoring the corresponding bin of the raw material when the target concrete mixing station is working, acquiring the remaining raw material weight of each raw material in real time, and acquiring the storage environment parameters of the corresponding bin of each raw material using a temperature and humidity sensor, including temperature and humidity.

[0012] The silo raw material analysis module is configured to analyze the remaining raw material evaluation of each raw material based on the remaining raw material weight of each raw material, analyze the monitoring environment evaluation of the silo corresponding to each raw material based on the storage environment parameters of the silo corresponding to each raw material, and further analyze the raw material replenishment demand evaluation of each raw material.

[0013] The silo raw material replenishment module is configured to determine whether raw material replenishment is needed, and if so, to further perform the raw material replenishment operation.

[0014] Compared with the prior art, the present application has the following advantages: (1) The present application determines the control demand of the air supply equipment based on the evaluation of the pipe attachment content and the evaluation of the abnormal flow of the material during the control of the air supply equipment. This analysis method can ensure normal material conveying and improve the accuracy of the control of the air supply equipment, thereby ensuring the continuity of material conveying and reducing the risk of production delay and equipment damage caused by abnormal flow.

[0015] (2) The present application determines the raw material replenishment demand based on the evaluation of the remaining raw material and the monitoring environment during the analysis of the raw material replenishment demand of the silo. This analysis method can accurately control the timing of raw material replenishment, ensure the continuity of production, and effectively ensure the stability of raw material and product quality, prevent raw material from deteriorating due to overstocking, optimize inventory management and cost control, and realize intelligent and efficient management. With the aid of data, automatic decision-making can be realized, human errors can be reduced, and the connection between raw material replenishment and production can be closely linked to improve the overall operating efficiency. BRIEF DESCRIPTION OF DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following will briefly introduce the drawings needed to be used in the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creating any inventive labor.

[0017] Figure 1 It is a schematic diagram of the connection of the modules of the system of the present application.

[0018] Figure 2 It is a schematic diagram of the equipment of the embodiment of the material conveying equipment provided by the present application.

[0019] Figure 3 It is a judgment flowchart corresponding to the embodiment of the judgment of the control demand of the material conveying equipment provided by the present application.

[0020] Figure 4 It is a judgment flowchart corresponding to the embodiment of the judgment of the raw material replenishment demand provided by the present application.

[0021] Reference signs: 1 - material conveying pipe, 2 - feeding port, 3 - air supply equipment. DETAILED DESCRIPTION

[0022] The technical solutions in the embodiments of the present application will be apparently and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the present application.

[0023] Please refer to Figure 1 As shown in the figure, the present application provides a concrete mixing station operation intelligent batching system, which comprises a feeding equipment setting module, a feeding data acquisition module, a feeding data analysis module, a feeding equipment control module, a stock bin data acquisition module, a stock bin raw material analysis module and a stock bin raw material supplement module, wherein the feeding equipment setting module is connected with the feeding data acquisition module and the stock bin data acquisition module, the feeding data acquisition module is connected with the feeding data analysis module, the feeding data analysis module is connected with the feeding equipment control module, the stock bin data acquisition module is connected with the stock bin raw material analysis module, and the stock bin raw material analysis module is connected with the stock bin raw material supplement module.

[0024] The feeding equipment setting module is used for setting feeding equipment at a target concrete mixing station, and the feeding equipment comprises a plurality of feeding ports, a feeding pipeline and a wind supply device, and each feeding port is connected with a different stock bin.

[0025] It should be noted that the stock bin is used for storing different raw materials, and the stock bin is connected with the feeding port, and then the raw materials are transported through the feeding pipeline. The feeding pipeline can transport the mixed raw materials after mixing, and the wind supply device can supply air to the feeding pipeline.

[0026] For example, the raw materials can be yellow sand, cement and additives.

[0027] The feeding data acquisition module is used for monitoring the feeding equipment when the target concrete mixing station is working, and three-dimensional data of the feeding pipeline are obtained by using a three-dimensional scanning device, and the feeding flow of the feeding pipeline is obtained by using a flow monitoring device.

[0028] The feeding data analysis module is used for analyzing the pipe attachment content evaluation of the feeding pipeline based on the three-dimensional data of the feeding pipeline, and analyzing the feeding flow abnormal evaluation of the feeding pipeline based on the feeding flow of the feeding pipeline.

[0029] In a preferred embodiment of the present application, the analysis of the pipeline attachment content evaluation of the material conveying pipeline requires the construction of a pipeline attachment content evaluation index of the material conveying pipeline, which is specifically as follows: the three-dimensional data of the material conveying pipeline is extracted, the positions of each pipeline attachment of the material conveying pipeline are located, and then the volume of each pipeline attachment is obtained, and the sum is calculated to obtain the volume of the pipeline attachment of the material conveying pipeline, denoted as .

[0030] The volume of the pipeline attachment of the material conveying pipeline is divided by the volume of the reference pipeline attachment previously set as the independent variable of the sigmoid function to obtain the pipeline attachment content evaluation index of the material conveying pipeline .

[0031] It should be noted that the reason for monitoring the pipeline attachment of the material conveying pipeline is to ensure smooth material conveying, avoid pipeline blockage and production interruption caused by the accumulation of the pipeline attachment, maintain stable product quality, prevent the pipeline attachment from mixing into the product to cause pollution, prolong the service life of the pipeline and related equipment, reduce equipment wear and tear and maintenance costs, and prevent safety hazards caused by the pipeline attachment and environmental pollution.

[0032] The sigmoid function compresses any real number into the interval (0, 1), and the output value can be directly interpreted as the probability of the event occurring, and has good monotonicity in mathematics, and the output is strictly increasing when the input increases, ensuring the consistency of the weight adjustment direction and the loss reduction. In the analysis of the pipeline attachment content evaluation index of the material conveying pipeline , the sigmoid function can accurately reflect the performance of the pipeline attachment content of the material conveying pipeline, and has strong applicability.

[0033] In a preferred embodiment of the present application, the analysis of the material conveying flow abnormality evaluation of the material conveying pipeline requires the construction of a material conveying flow abnormality evaluation index of the material conveying pipeline, which is specifically as follows: the material conveying flow of the material conveying pipeline is extracted, denoted as .

[0034] The material conveying flow of the material conveying pipeline is divided by the absolute deviation value of the reference material conveying flow previously set and the permissible difference value between the reference material conveying flow and the material conveying flow of the material conveying pipeline as the independent variable of the sigmoid function to obtain the material conveying flow abnormality evaluation index of the material conveying pipeline .

[0035] It needs to be explained that the reason for monitoring the evaluation of the abnormal situation of the conveying flow of the conveying pipeline: it is related to the continuity of production, can timely find problems such as pipeline blockage and leakage, avoid production interruption and related adverse consequences. It is helpful to ensure the stability of product quality, avoid quality problems such as imbalance of product component ratio caused by abnormal flow. It is beneficial to maintain the safe operation of equipment, early warning of potential equipment failure, and prolong the service life of equipment. It can also assist in optimizing energy utilization, matching the energy consumption of the conveying system with the actual demand, and improving overall efficiency.

[0036] The conveying equipment control module is used to determine whether conveying equipment control is needed, and if so, further execute the conveying control operation.

[0037] In a preferred embodiment of the present application, the specific way of determining whether conveying equipment control is needed is as follows: extracting the pipeline attachment content evaluation index of the conveying pipeline and the conveying flow abnormality evaluation index of the conveying pipeline, and then summing up according to the weight to obtain the conveying equipment control demand index of the conveying pipeline.

[0038] For example, the weights corresponding to the pipeline attachment content evaluation index and the conveying flow abnormality evaluation index of the conveying pipeline are .

[0039] It needs to be explained that when analyzing the conveying equipment control demand index of the conveying pipeline, the weights corresponding to the pipeline attachment content evaluation index and the conveying flow abnormality evaluation index of the conveying pipeline are set as follows: from the degree of influence on equipment operation, excessive accumulation of attachments is easy to cause pipeline blockage and other serious failures, and aggravate equipment wear. In comparison, abnormal conveying flow causes various forms of failure, and the weights are different depending on the risk of failure and the degree of wear. In terms of the degree of interference with the production process, abnormal flow directly affects the continuity of production and product quality, and although attachments can be early warned and processed, once they cause blockage, they also cause great harm, so the weights need to be allocated in combination with specific process and product requirements. Based on the difference in predictability and intervenability, the attachment content is relatively measurable and the intervention measures are routine, the abnormal conveying flow has many sudden factors and complex intervention, so the weights of the two are comprehensively considered to ensure that the weight setting is scientific and reasonable, and to accurately guide the conveying equipment control.

[0040] The conveying equipment control demand index of the conveying pipeline is compared with the pre-set conveying equipment control demand index threshold value, if the conveying equipment control demand index of the conveying pipeline is greater than or equal to the conveying equipment control demand index threshold value, it is determined that the conveying equipment control is needed, otherwise, it is determined that the conveying equipment control is not needed.

[0041] For example, the conveying equipment control demand index threshold value is .

[0042] It needs to be explained that the setting of the material conveying equipment control demand index threshold is based on: firstly, based on the characteristics of the materials, the cement, sand and gravel in the concrete mixing plant each has its own characteristics, the cement is easy to dust and get wet, the sand and gravel particles are different in size and flowability, the wind pressure and air volume conditions required for stable conveying of different materials are different, the threshold is set according to the parameter monitoring and analysis under the best conveying state of each type of material to ensure smooth flow of the material. Secondly, closely follow the production process rhythm, the mixing plant has various production tasks, different strength grade concrete is alternately produced, the ingredients and mixing are closely connected, according to the production demand and ingredient progress in each period, the air supply is ensured to be sufficient when the raw materials are conveyed in large quantities, and the air is reasonably reduced in the gap period, and the threshold is determined according to this production law to match the rhythm.

[0043] It needs to be explained that the present application performs supply air equipment control demand judgment based on the pipe attachment content evaluation and the material conveying flow abnormality evaluation when performing supply air equipment control. This analysis method can ensure normal material conveying, improve the accuracy of supply air equipment control, ensure the continuity of material conveying, and reduce the risk of production delay and equipment damage caused by flow abnormality.

[0044] In a preferred embodiment of the present application, the specific way of further performing the material conveying control operation is as follows: extracting the pipe attachment content evaluation index of the material conveying pipeline , the material conveying flow abnormality evaluation index of the material conveying pipeline and the material conveying flow of the material conveying pipeline .

[0045] The material conveying flow of the material conveying pipeline is compared with the reference material conveying flow set in advance. If the material conveying flow of the material conveying pipeline is greater than the reference material conveying flow, the pipe attachment content evaluation index of the material conveying pipeline and the material conveying flow abnormality evaluation index of the material conveying pipeline are calculated to obtain the supply air equipment wind speed correction index, which is then multiplied with the current supply air equipment wind speed to obtain the supply air equipment wind speed correction amount. The current supply air equipment wind speed and the supply air equipment wind speed correction amount are summed to obtain the corrected wind speed of the supply air equipment.

[0046] If the material conveying flow of the material conveying pipeline is less than the reference material conveying flow, the pipe attachment content evaluation index of the material conveying pipeline and the material conveying flow abnormality evaluation index of the material conveying pipeline are summed to obtain the supply air equipment wind speed correction index, which is then multiplied with the current supply air equipment wind speed to obtain the supply air equipment wind speed correction amount. The current supply air equipment wind speed and the supply air equipment wind speed correction amount are summed to obtain the corrected wind speed of the supply air equipment.

[0047] The supply air equipment is controlled based on the corrected wind speed of the supply air equipment obtained by analysis.

[0048] The silo data acquisition module is used for monitoring the corresponding silo of each raw material when the target concrete mixing station is working, and acquiring the residual raw material weight of each raw material in real time, and acquiring the storage environment parameters of the corresponding silo of each raw material by using a temperature and humidity sensor, including temperature and humidity.

[0049] It should be noted that the reason for selecting temperature and humidity as the storage environment parameters of the corresponding silo of each raw material for monitoring is that, on the one hand, it is directly related to the quality guarantee of raw materials. For example, cement has strong hygroscopicity, and high humidity environment can easily cause cement to hydrate and clog, which not only destroys the fluidity and hinders accurate batching, but also changes the chemical properties, resulting in substandard concrete strength, and high temperature can also accelerate the reaction of the components in cement, affecting the quality. Sand and gravel raw materials are the same, and humidity causes water content fluctuations, which interfere with the water-cement ratio and workability of concrete. On the other hand, focusing on the stability of the production process, accurate batching production of concrete cannot be separated from stable raw material state. The change of temperature and humidity causes the change of raw material state, and the accuracy of batching is affected. If not accurately controlled, the quality of concrete will be uneven, which will ultimately affect the quality and safety of construction engineering, so monitoring temperature and humidity is of great significance.

[0050] It should be noted that the reason for monitoring the residual raw material weight of each silo is that, first, it is related to the continuity of production. Concrete production needs continuous and stable feeding, and real-time monitoring of the residual raw material weight can predict whether the raw material can support subsequent production in advance. Once the raw material is exhausted, it will cause production interruption, which will cause construction progress to be hindered and equipment and manpower to be idle, thereby increasing costs. Second, it helps accurate batching. The quality of concrete depends on accurate batching of each raw material. Knowing the residual raw material weight can provide accurate data for the batching link to ensure that concrete of different strengths and purposes strictly follows the design formula to produce stable and reliable products. Third, it is beneficial to inventory management and cost control. It avoids overstocking of raw materials, occupies funds and storage space, and prevents high costs caused by insufficient inventory and emergency procurement. Reasonable monitoring and planning of inventory can reduce costs and increase efficiency, and ensure the efficient and stable operation of the mixing station.

[0051] The silo raw material analysis module is used for analyzing the residual raw material evaluation of each raw material based on the residual raw material weight of each raw material, analyzing the monitoring environment evaluation of the corresponding silo of each raw material based on the storage environment parameters of the corresponding silo of each raw material, and further analyzing the raw material replenishment demand evaluation of each raw material.

[0052] In a preferred embodiment of the present application, the analysis of the residual raw material evaluation of each raw material needs to construct a residual raw material evaluation index of each raw material, and the specific method is as follows: extracting the residual raw material weight of each raw material, respectively denoted as , wherein represents the number of raw materials, , represents the number of raw materials.

[0053] The remaining raw material weight of each raw material is calculated The relative deviation value of the remaining raw material weight of each raw material from the reference remaining raw material weight of each raw material set in advance is calculated as the independent variable of the sigmoid function to obtain the remaining raw material evaluation index of each raw material . .

[0054] In a preferred embodiment of the present application, the analysis of the monitoring environment evaluation of the corresponding silo of each raw material needs to construct the monitoring environment evaluation index of the corresponding silo of each raw material, and the specific method is as follows: the temperature and humidity of the corresponding silo of each raw material are extracted.

[0055] The temperature deviation of the corresponding silo of each raw material is obtained by taking the absolute value of the difference value of the temperature of the corresponding silo of each raw material from the reference temperature set in advance, and then the temperature deviation degree of the corresponding silo of each raw material is obtained by ratio calculation with the reference temperature, denoted as .

[0056] It needs to be noted that the reference temperature of the corresponding silo of the concrete mixing station is set according to the following aspects: on the one hand, it is derived from the characteristics of raw materials. The hydration of cement is affected by temperature. If the temperature is too high, it will accelerate the setting; if the temperature is too low, it will reduce the activity. Sand and stone are prone to thermal stress at high temperature. The reference temperature is thus framed in a range to protect the stability of raw material performance. On the other hand, it is closely related to the production process. The mixing and reaction of raw materials are different at different temperatures. The appropriate temperature ensures the best synergy of additives, cement, etc., and the working performance meets the standard. When deviating, the process and ratio are adjusted according to the reference temperature. In addition, it focuses on equipment operation and maintenance. Extreme temperature causes aging of conveying components, connection abnormalities, lubrication disturbance, and the like. The reference temperature is set to create a suitable environment to reduce maintenance and prolong life.

[0057] The humidity deviation of the corresponding silo of each raw material is obtained by taking the absolute value of the difference value of the humidity of the corresponding silo of each raw material from the reference humidity set in advance, and then the humidity deviation degree of the corresponding silo of each raw material is obtained by ratio calculation with the reference humidity, denoted as .

[0058] The formula is used to analyze the monitoring environment evaluation index of the corresponding silo of each raw material , wherein represents the influence weight corresponding to the temperature deviation degree and the humidity deviation degree set in advance.

[0059] Exemplarily, .

[0060] It needs to be explained that in the process of analyzing the monitoring environment evaluation index of each raw material corresponding silo, the setting of the influence weight corresponding to the temperature deviation degree and the humidity deviation degree is based on: on the one hand, based on the influence of raw material quality, cement is extremely sensitive to humidity, and humidity deviation is easy to cause its caking, affecting the quality performance, and the temperature deviation is relatively slow, and the sand is the same, the humidity deviation is related to the water content and the water-cement ratio, so the humidity deviation degree weight is often higher. On the other hand, from the degree of interference to the production process, humidity deviation can quickly change the physical state of raw materials, affect the accuracy of batching and mixing, and temperature deviation interference is relatively indirect, so that the humidity deviation degree weight is dominant. In addition, considering the equipment operation and maintenance, high humidity is easy to cause equipment corrosion and damage, shorten the service life and increase the cost, although the temperature deviation has an impact, but it is not as prominent as humidity, so the weight tends to humidity deviation.

[0061] In a preferred embodiment of the present application, the analysis of the raw material supplement demand evaluation of each raw material needs to construct the raw material supplement demand evaluation index of each raw material, and the specific way is as follows: extracting the remaining raw material evaluation index of each raw material and the monitoring environment evaluation index of the corresponding silo , and then using the formula to analyze the raw material supplement demand evaluation index of each raw material .

[0062] It needs to be explained that the reason for selecting the remaining raw material evaluation index and the monitoring environment evaluation index of each raw material as the influencing factors of the raw material supplement demand evaluation index is: on the one hand, the remaining raw material evaluation index can be regarded as a "barometer" to ensure the continuity of production, and the operation of the concrete mixing plant depends on sufficient supply of raw materials such as cement, sand and admixtures. This index accurately reveals how long the raw material inventory can support production. If the cement remaining amount is only enough for half a day and the replenishment is not timely, the production will be interrupted, which will affect the construction progress. Plan the replenishment plan in advance to ensure stable material supply. On the other hand, the monitoring environment evaluation index is related to the quality of the raw materials. The deviation of temperature, humidity and other environmental factors has a great influence on the hydration of cement and the water content of sand, which may cause the performance of raw materials to deteriorate and fail to meet the production requirements. By taking this into account, the erosion of the environment on the raw materials can be detected in time, and the storage conditions can be adjusted in time to provide key basis for raw material supplement decision-making, and to ensure efficient operation of the mixing plant.

[0063] The raw material supplement module of the silo is used to determine whether the raw material supplement is needed, and if needed, the raw material supplement operation is further performed.

[0064] In a preferred embodiment of the present application, the specific method for determining whether each raw material needs to be replenished is as follows: the raw material replenishment demand evaluation index of each raw material is extracted, and then compared with the raw material replenishment demand evaluation index threshold set in advance. If the raw material replenishment demand evaluation index of a certain raw material is greater than the raw material replenishment demand evaluation index threshold, it is determined that the raw material needs to be replenished, otherwise, it is determined that the raw material does not need to be replenished.

[0065] For example, the raw material replenishment demand evaluation index threshold is .

[0066] It should be noted that the setting of the raw material replenishment demand evaluation index threshold is based on the following aspects: on the one hand, based on production planning and continuity guarantee, the concrete mixing station can plan the output in advance according to the orders of various construction projects, accurately calculate the consumption of each raw material in different periods, and determine the threshold to avoid production stagnation caused by raw material shortage and ensure that the construction process is not hindered. For example, in large infrastructure projects, the demand for concrete is large and concentrated. If the raw material supply is not sufficient, not only will the construction period be delayed, but also the equipment will be idle, the manpower will be wasted, and the cost will increase dramatically. On the other hand, attention should be paid to inventory management cost control, and the storage characteristics of raw materials should be considered. For example, cement has a shelf life limit, and excessive storage can easily lead to expiration and failure. Sand and gravel also occupy a large area, and excessive storage can increase storage costs. Therefore, the threshold should be set appropriately to prevent high-cost emergency procurement due to insufficient raw materials and to avoid excessive stockpiling of funds, maintain a reasonable inventory level, and achieve cost reduction and efficiency improvement.

[0067] It should be noted that the present application analyzes the raw material replenishment demand of the silo based on the remaining raw material evaluation and the monitoring environment evaluation, and determines the raw material replenishment demand. This analysis method can accurately control the timing of raw material replenishment, ensure continuous production, and effectively guarantee the stability of raw material and product quality, prevent raw material from deteriorating, optimize inventory management and cost control, and achieve intelligent and efficient management. With the help of data, automatic decision-making can be realized, human errors can be reduced, and the connection between raw material replenishment and production can be closely linked to improve overall operational efficiency.

[0068] In a preferred embodiment of the present application, the specific method for further performing the raw material replenishment operation is as follows: the raw material that needs to be replenished is recorded as a raw material to be replenished.

[0069] The remaining raw material weight of each raw material to be replenished is extracted, and then the maximum storage capacity of the silo set in advance is subtracted from the remaining raw material weight of each raw material to be replenished to obtain the replenishment amount of each raw material to be replenished, and then the raw material replenishment operation is performed.

[0070] The above merely illustrates and describes the concept of the present application, and those skilled in the art can make various modifications or supplements to the described specific embodiments or adopt similar ways to replace, as long as the modifications or supplements do not deviate from the concept of the present application or exceed the defined scope of the present application, and should belong to the protection scope of the present application.

Claims

1. An intelligent batching system for concrete mixing plant operations, characterized in that, The system comprises a feeding device setting module, a feeding data acquisition module, a feeding data analysis module, a feeding device control module, a stock bin data acquisition module, a stock bin raw material analysis module and a stock bin raw material supplement module, wherein the feeding device setting module is connected with the feeding data acquisition module and the stock bin data acquisition module, the feeding data acquisition module is connected with the feeding data analysis module, the feeding data analysis module is connected with the feeding device control module, the stock bin data acquisition module is connected with the stock bin raw material analysis module, and the stock bin raw material analysis module is connected with the stock bin raw material supplement module; The feeding device setting module is used for setting a feeding device at a target concrete mixing station, and the feeding device comprises a plurality of feeding ports, a feeding pipeline and a wind supply device, and each feeding port is connected with a different stock bin; The feeding data acquisition module is used for monitoring the feeding device when the target concrete mixing station is working, and three-dimensional data of the feeding pipeline is acquired by using a three-dimensional scanning device, and feeding flow of the feeding pipeline is acquired by using a flow monitoring device; The feeding data analysis module is used for analyzing pipe attachment content evaluation of the feeding pipeline based on the three-dimensional data of the feeding pipeline, and analyzing feeding flow abnormal evaluation of the feeding pipeline based on the feeding flow of the feeding pipeline; The feeding device control module is used for judging whether feeding device control is needed, and if so, further performing feeding control operation; The stock bin data acquisition module is used for monitoring a raw material corresponding stock bin when the target concrete mixing station is working, and real-time raw material weight of each raw material is acquired, and storage environment parameters of the raw material corresponding stock bin, including temperature and humidity, are acquired by using a temperature and humidity sensor; The stock bin raw material analysis module is used for analyzing raw material evaluation of each raw material based on the real-time raw material weight of each raw material, analyzing monitoring environment evaluation of the raw material corresponding stock bin based on the storage environment parameters of the raw material corresponding stock bin, and further analyzing raw material supplement demand evaluation of each raw material; The stock bin raw material supplement module is used for judging whether raw material supplement of each raw material is needed, and if so, further performing raw material supplement operation; The pipe attachment content evaluation of the feeding pipeline needs to construct a pipe attachment content evaluation index of the feeding pipeline, and the specific way is as follows: Extract three-dimensional data of the material conveying pipeline, locate positions of each pipeline attachment of the material conveying pipeline, obtain volumes of each pipeline attachment, and perform summation calculation to obtain a volume of the pipeline attachment of the material conveying pipeline ; The volume of the pipe attachment object attached to the delivery pipe The ratio of the volume of the pipe attachment object attached to the delivery pipe to the preset reference pipe attachment object volume is calculated as the independent variable of the sigmoid function to obtain the pipe attachment object content evaluation index of the delivery pipe .

2. An intelligent batch plant system for a concrete batch plant as defined in claim 1, characterized in that: The feeding flow abnormal evaluation of the feeding pipeline needs to construct a feeding flow abnormal evaluation index of the feeding pipeline, and the specific way is as follows: Extracting the feed flow rate of the feed pipe The absolute deviation value of the feed flow rate from the preset reference feed flow rate The ratio of the absolute deviation value of the feed flow rate from the preset reference feed flow rate and the permissible difference value between the preset reference feed flow rate and the feed flow rate of the feed pipe The ratio of the absolute deviation value of the feed flow rate from the preset reference feed flow rate and the permissible difference value between the preset reference feed flow rate and the feed flow rate of the feed pipe The ratio of the absolute deviation value of the feed flow rate from the preset reference feed flow rate and the permissible difference value between the preset reference feed flow rate and the feed flow rate of the feed pipe 3. A concrete plant job intelligence batch system as in claim 2, wherein: The specific way of judging whether feeding device control is needed is as follows: The pipe attachment content evaluation index of the feeding pipeline and the feeding flow abnormal evaluation index of the feeding pipeline are extracted, and then a feeding device control demand index of the feeding pipeline is calculated by summing up according to the weight; The feeding device control demand index of the feeding pipeline is compared with a pre-set feeding device control demand index threshold value, if the feeding device control demand index of the feeding pipeline is greater than or equal to the feeding device control demand index threshold value, it is judged that feeding device control is needed, otherwise, it is judged that feeding device control is not needed.

4. A concrete plant job intelligence batch system as in claim 2, wherein: The specific way of further performing feeding control operation is as follows: Evaluation index of pipe deposit content of extraction feed pipe Evaluation index of feed flow abnormality of feed pipe And feed flow of feed pipe ; The feeding flow of the feeding pipeline is compared with the reference feeding flow, if the feeding flow of the feeding pipeline is greater than the reference feeding flow, the pipeline attachment content evaluation index of the feeding pipeline and the feeding flow abnormal evaluation index of the feeding pipeline are difference calculated to obtain the air supply equipment wind speed correction index, and then multiplied with the current air supply equipment wind speed to obtain the air supply equipment wind speed correction amount, and the current air supply equipment wind speed and the air supply equipment wind speed correction amount are summed to obtain the corrected wind speed of the air supply equipment; If the feeding flow of the feeding pipeline is less than the reference feeding flow, the pipeline attachment content evaluation index of the feeding pipeline and the feeding flow abnormal evaluation index of the feeding pipeline are summed to obtain the air supply equipment wind speed correction index, and then multiplied with the current air supply equipment wind speed to obtain the air supply equipment wind speed correction amount, and the current air supply equipment wind speed and the air supply equipment wind speed correction amount are summed to obtain the corrected wind speed of the air supply equipment; The air supply equipment is controlled based on the analyzed corrected wind speed of the air supply equipment.

5. An intelligent batch plant system for a concrete batch plant as recited in claim 1, wherein: The remaining material evaluation of each raw material needs to construct the remaining material evaluation index of each raw material, and the specific way is as follows: The remaining raw material weight of each raw material is extracted and denoted as wherein denotes the number of the raw material, , denotes the quantity of the raw material; The remaining raw material weight of each raw material is calculated as a relative deviation value from the reference remaining raw material weight of each raw material set in advance The remaining raw material evaluation index of each raw material is calculated as a sigmoid function with the relative deviation value as the independent variable .​ 6. A concrete plant job intelligence batch system as in claim 5, wherein: The monitoring environment evaluation of each raw material corresponding to the corresponding bin needs to construct the monitoring environment evaluation index of each raw material corresponding to the corresponding bin, and the specific way is as follows: The temperature and humidity of each raw material corresponding to the corresponding bin are extracted; The temperature deviation of each raw material corresponding to the bunker is obtained by taking the absolute value of the difference between the temperature of each raw material corresponding to the bunker and the reference temperature set in advance, and then the temperature deviation degree of each raw material corresponding to the bunker is obtained by ratio calculation with the reference temperature, denoted as ; The humidity deviation amount of each raw material corresponding to the bunker is obtained by taking the absolute value of the difference between the humidity of each raw material corresponding to the bunker and the reference humidity set in advance, and the humidity deviation degree of each raw material corresponding to the bunker is obtained by ratio calculation with the reference humidity, denoted as ; The monitoring environment evaluation index of each raw material corresponding to the bunker is obtained by using a multi-weight fusion algorithm .

7. A concrete plant job intelligence batch system as in claim 6, wherein: The raw material supplement demand evaluation of each raw material needs to construct the raw material supplement demand evaluation index of each raw material, and the specific way is as follows: extracting a remaining raw material evaluation index of each raw material and a monitoring environment evaluation index of a corresponding silo and then obtaining a raw material replenishment demand evaluation index of each raw material by using a fractional function formula analysis .

8. A concrete plant job intelligence batch system as in claim 7, wherein: The specific way of judging whether each raw material needs to be supplemented is as follows: The raw material supplement demand evaluation index of each raw material is extracted, and then compared with the pre-set raw material supplement demand evaluation index threshold, if the raw material supplement demand evaluation index of a raw material is greater than the raw material supplement demand evaluation index threshold, it is judged that the raw material needs to be supplemented, otherwise, it is judged that the raw material does not need to be supplemented.

9. A concrete plant job intelligence batch system as in claim 8, wherein: The specific way of further performing the raw material supplement operation is as follows: The raw material that needs to be supplemented is marked as a to-be-supplemented raw material; The remaining material weight of each to-be-supplemented raw material is extracted, and then the pre-set bin maximum storage capacity is difference calculated with the remaining material weight of each to-be-supplemented raw material to obtain the to-be-supplemented amount of each to-be-supplemented raw material, and then the raw material supplement operation is performed.

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