Secondary discharge hopper and use method

Abstract

The invention belongs to the technical field of constructional engineering, and discloses a secondary discharge hopper which comprises a body, and the interior of the body is divided into a cement storage bin and a sand storage bin through a partition plate; a mixing tank is fixedly arranged below the body, and the cement discharging pipe and the sand discharging pipe are both communicated with the mixing tank; flow valves are arranged on the cement discharging pipe and the sand discharging pipe; an additive storage tank and a water tank are arranged below the body; a water suction pump is fixedly arranged on the water tank; an infusion pump is fixedly arranged on the additive storage box; a uniform stirring mechanism is arranged in the mixing tank; and a monitoring mechanism is fixedly arranged on the body. According to the concrete use type, scene and time, the material ratio and the injection amount are determined in combination with multiple factors, and meanwhile the mixing and stirring time is precisely planned. The uniform stirring mechanism adopts a mode that a horizontal stirring assembly and a vertical stirring assembly work at the same time to stir concrete in all directions, so that cement, sand, water and an additive are more fully mixed, and the concrete stirring uniformity is improved.

Description

Technical Field

[0001] This application relates to the field of building engineering technology, and more specifically, to a secondary unloading hopper and its usage method. Background Technology

[0002] Concrete hoppers are crucial equipment in construction for concrete transfer and placement, playing a vital role in ensuring concrete quality, improving construction efficiency, and optimizing construction processes. During transportation, concrete may experience aggregate-cement separation or slump loss due to factors such as time and vibration. Secondary hoppers typically incorporate a mixing device (e.g., auger blades, mixing shaft) to re-mix the concrete before unloading, re-homogenizing the aggregate, cement, and water ratios, restoring workability, and preventing quality problems such as uneven strength and honeycomb-like defects caused by segregation.

[0003] The prior art publication CN107283642A provides a concrete unloading hopper, including a hopper body (1) and an unloading controller located at the outlet of the hopper body (1). The hopper body (1) has a pressure chamber (2) inside, and the side wall of the pressure chamber (2) has several pressure through holes. The pressure chamber (2) is connected to a blower (3), and the blower (3) and the unloading controller are respectively adapted to a control box (5) via solenoid valves (4). This invention has a simple and reasonable structural design, which can adapt to large-scale industrial production. Because the hopper body has a pressure chamber inside, and the side wall of the pressure chamber has several pressure through holes, and the pressure chamber is connected to a blower, and the blower and the unloading controller are respectively adapted to the control box via solenoid valves, unloading completely avoids residual caking and waste. The overall structure ensures the stability of the device.

[0004] While the existing technical solutions described above can achieve the relevant beneficial effects through their structure, they still have the following drawbacks: 1. Existing technologies struggle to achieve precise proportions considering multiple factors. Traditional methods often determine material proportions and injection volumes based solely on limited basic parameters (such as strength grade), neglecting key factors such as the type of concrete used, the application scenario, the timing, and the temperature, humidity, pressure, and construction conditions within the mixing tank. This results in proportions that cannot adapt to different engineering needs. In special scenarios such as high-temperature environments or large-volume pours, concrete is prone to cracking and insufficient strength, failing to achieve optimal performance. 2. Existing mixing mechanisms mostly employ unidirectional mixing, failing to achieve all-around mixing of concrete. This method leads to insufficient mixing of materials such as cement, sand, water, and admixtures, resulting in low uniformity and significant dispersion in concrete strength, severely impacting overall quality. 3. It is difficult to detect abnormalities such as clumping in a timely manner, potentially leading to substandard concrete entering subsequent stages and affecting project quality.

[0005] In view of this, we propose a secondary unloading hopper and its usage method. Summary of the Invention

[0006] 1. Technical problems to be solved

[0007] The purpose of this application is to provide a secondary unloading hopper and its usage method, solving the technical problems mentioned in the background art. It enables the determination of material proportions and injection volumes based on multiple factors such as the concrete's usage type, scenario, time, temperature, humidity, pressure within the mixing tank, strength grade, and construction conditions, while simultaneously precisely planning the mixing time. The mixing mechanism employs simultaneous operation of horizontal and vertical mixing components to perform omnidirectional mixing of the concrete. Compared to traditional single-direction mixing, this allows for more thorough mixing of cement, sand, water, and admixtures, significantly improving the uniformity of concrete mixing, reducing strength dispersion caused by insufficient mixing, and enhancing the overall quality of the concrete. An image analysis module analyzes images in real time, monitoring the concrete mix proportions and mixing uniformity, and promptly detecting anomalies such as clumping. An intelligent analysis and prediction module combines external environmental data with historical data to predict the technical effects of concrete strength.

[0008] 2. Technical Solution

[0009] This application provides a secondary unloading hopper, comprising: a body, a sealing cover A, a sealing cover B, a mixing tank, and a stirring mechanism;

[0010] The main body is divided into a cement storage silo and a sand storage silo by a partition; the bottom of the cement storage silo and the sand storage silo tapers into a round opening; a cement discharge pipe is fixedly installed at the bottom of the cement storage silo; a sand discharge pipe 1 is fixedly installed at the bottom of the sand storage silo.

[0011] The cement storage silo is equipped with a rotatable sealing cover A at the top; the sand storage silo is equipped with a rotatable sealing cover B at the top.

[0012] A mixing tank is fixedly installed at the bottom of the main body, and both the cement discharge pipe and the sand discharge pipe are connected to the mixing tank. Flow valves are installed on both the cement discharge pipe and the sand discharge pipe. The discharge pipes and flow valves work together to achieve precise control of the discharge speed and discharge volume.

[0013] An admixture storage tank and a water tank are fixedly installed below the main body; a water pump is fixedly installed on the water tank; the input end of the water pump is connected to the water tank; the output end of the water pump is connected to the mixing tank; a liquid pump is fixedly installed on the admixture storage tank; the input end of the liquid pump is connected to the admixture storage tank, and the output end of the liquid pump is connected to the mixing tank; both the water pump and the liquid pump are equipped with flow meters at their output ends.

[0014] The mixing tank is equipped with a stirring mechanism. A monitoring device is fixedly installed on the main body to monitor and control the mixing of concrete.

[0015] The above technical solution involves a cement storage silo containing cement, a sand storage silo containing sand, an admixture storage tank containing admixtures, and a water tank containing water. Cement, sand, water, and admixtures are added to a mixing tank in a specific ratio and quantity, and then thoroughly mixed using a stirring mechanism. Timed mixing is controlled by a monitoring system to prevent concrete from hardening.

[0016] As an optional embodiment of the present invention, the monitoring agency includes:

[0017] Data collection module: Collects extensive data on different cements, sands, and admixtures, as well as their water-to-cement ratios; annotates the data as reference samples; constructs a concrete mix design knowledge base; builds a raw material database; collects parameters such as density, setting time, and strength curves for different grades of cement; categorizes and stores data on particle size distribution, mud content, and moisture content of river sand and manufactured sand; for different admixtures, records the effective component content and optimal dosage range of water-reducing agents, early-strength agents, etc.; and stores historical mix design data and corresponding performance indicators (compressive strength, impermeability grade) for C15-C80 concrete, categorized by project type.

[0018] Temperature and humidity monitoring module: includes temperature and humidity sensors, which collect temperature and humidity data in mixing tank 6 in real time;

[0019] Pressure monitoring module: includes pressure sensors, which collect pressure data in the mixing tank in real time;

[0020] Image acquisition module: Includes a high-definition camera to capture high-definition images of the inside of the mixing tank; the high-definition camera adopts a fully sealed metal shell with an anti-stick coating on the surface; it has a built-in automatic cleaning device (such as high-pressure air blowing, rotating brush or ultrasonic cleaning); the protection level is ≥IP68, and the lens uses acid and alkali resistant glass; the shell material is 316L stainless steel or titanium alloy; it has a built-in heat sink or water cooling circulation system to ensure that the camera's operating temperature is ≤60℃; it adopts an explosion-proof, dustproof, and waterproof camera (such as IP68 protection level) to adapt to harsh environments.

[0021] Image analysis module: Analyzes acquired images to monitor concrete mix proportions and mixing uniformity in real time, preventing insufficient strength due to inadequate mixing; promptly detects anomalies. It performs uniformity assessment by calculating image entropy based on LBP texture features; higher entropy values ​​indicate better uniformity. It also performs block identification using connected component analysis; blocks are identified when the area of ​​a white highlighted region is greater than 100px. 2 It is determined to be a clumping;

[0022] Mix proportioning module: This module combines the temperature, humidity, and pressure within the mixing tank with factors such as the concrete's strength grade, construction conditions, and intended use to determine the proportions and injection volumes of cement, sand, water, and admixtures. It also establishes a temperature-setting time model based on the Arrhenius equation and determines the mixing time prior to the intended use time, ensuring that mixing is completed before the concrete is required to be used.

[0023] Intelligent analysis and prediction module: Combines external temperature and humidity data, and predicts concrete strength based on historical mix proportion data and performance indicators.

[0024] PLC Control Center: Network connected to data collection module, temperature and humidity monitoring module, intelligent analysis and prediction module, image acquisition module, image analysis module, and proportioning module.

[0025] This invention provides a method for using a secondary unloading hopper, comprising the following steps.

[0026] S1. The monitoring agency's data collection module collects a large amount of data on different types of cement, sand, and admixtures, as well as their proportions with water, and labels the data as reference samples.

[0027] S2. Obtain the type, application scenario, and application time of the concrete; determine the types of cement, sand, and admixtures required.

[0028] S3: The temperature and humidity monitoring module collects real-time temperature and humidity data inside the mixing tank; the pressure monitoring module collects real-time pressure data inside the mixing tank.

[0029] S4, the proportioning module combines the temperature, humidity and pressure inside the mixing tank, and determines the proportions and injection amounts of cement, sand, water and admixtures based on factors such as the strength grade of the concrete, construction conditions and usage scenarios; it also determines the mixing time before the specific usage time to ensure that mixing is completed before the concrete is needed.

[0030] S5. Add cement, sand, water and admixtures to the mixing tank according to the predetermined time and the set ratio.

[0031] S6. The mixing mechanism thoroughly mixes cement, sand, water, and admixtures. The image acquisition module captures high-definition images of the inside of the mixing tank. The drive mechanism rotates the horizontal mixing component horizontally to mix the concrete, while the drive mechanism, through the transmission mechanism, rotates the vertical mixing component vertically to mix the concrete. This simultaneous horizontal and vertical mixing ensures a more uniform mixture.

[0032] S7, the image analysis module analyzes the acquired images to monitor the concrete mix proportions and mixing uniformity in real time, preventing insufficient strength due to inadequate mixing; and promptly detecting abnormalities. It also identifies lumps.

[0033] The S8 intelligent analysis and prediction module combines external temperature and humidity data with historical mix proportion data and performance indicators to predict concrete strength.

[0034] S9. The proportioning module adjusts the proportions and injection amounts of cement, sand, water, and admixtures based on the analysis results of the intelligent analysis and prediction module, combined with the temperature, humidity, and pressure inside the mixing tank 6.

[0035] S10. Based on the adjusted mix proportions and injection volume, add cement, sand, water, and admixtures, and mix thoroughly. Stir thoroughly ten minutes before using the concrete.

[0036] 3. Beneficial effects

[0037] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0038] (1) This invention can determine the material ratio and injection volume based on the type of concrete used, the scenario, the time, the temperature, humidity, pressure in the mixing tank, the strength grade, construction conditions, and other factors, while accurately planning the mixing time. This comprehensive approach allows the concrete mix ratio to be highly adaptable to different engineering needs, ensuring that the concrete performs optimally in actual use. For example, in high-temperature environments or large-volume pouring scenarios, it effectively avoids problems such as cracking and insufficient strength in the concrete.

[0039] (2) High-quality and uniform mixing effect: The mixing mechanism adopts the method of simultaneous operation of horizontal and vertical mixing components to mix the concrete in all directions. Compared with the traditional single-direction mixing, it can make cement, sand, water and admixtures more fully mixed, significantly improve the mixing uniformity of concrete, reduce the strength dispersion problem caused by insufficient mixing, and improve the overall quality of concrete.

[0040] (3) The image analysis module analyzes images in real time, monitors concrete mix proportions and mixing uniformity, and promptly detects abnormalities such as clumping.

[0041] (4) The intelligent analysis and prediction module combines external environmental data with historical data to predict concrete strength. This forms an intelligent quality control system from the production process to the final performance, which can not only correct errors in a timely manner during the production process, but also predict quality problems in advance, reduce the defect rate, and provide a reliable guarantee for project quality. Attached Figure Description

[0042] Figure 1This is a flowchart illustrating the method of using the secondary unloading hopper disclosed in this application.

[0043] Figure 2 This is a schematic diagram of the secondary unloading hopper disclosed in this application.

[0044] Figure 3 This is a schematic diagram of the internal structure of the secondary unloading hopper disclosed in this application.

[0045] Figure 4 This is a schematic diagram of the bottom structure of the secondary unloading hopper disclosed in this application.

[0046] Figure 5 This is a schematic diagram of the mixing mechanism of the secondary unloading hopper disclosed in this application.

[0047] Figure 6 This is a schematic diagram of the vertical mixing assembly of the secondary discharge hopper disclosed in this application.

[0048] Figure 7 This is a schematic diagram of the horizontal mixing assembly of the secondary discharge hopper disclosed in this application.

[0049] Reference numerals: 1. Body; 2. Sealing cover A; 3. Sealing cover B; 4. Cement storage silo; 41. Cement discharge pipe; 5. Sand storage silo; 51. Sand discharge pipe; 6. Mixing tank; 7. Stirring mechanism; 8. Admixture storage tank; 81. Liquid pump; 9. Water tank; 91. Water pump; 71. Drive mechanism; 72. Horizontal stirring assembly; 73. Transmission mechanism; 74. Vertical stirring assembly; 711. Motor; 712. Drive gear; 713. Bevel gear A; 721. Scraper; 722. Bushing; 723. Driven gear; 724. Fish-shaped plate; 725. Round hole; 731. Shaft; 732. Bevel gear B; 733. Transmission shaft; 734. Bevel gear C; 741. Rotating shaft; 742. Rotating plate; 743. Positioning rod; 744. Stirring blade; 745. Bevel gear D; 746. Hexagonal hole. Detailed Implementation

[0050] The present application will be further described in detail below with reference to the accompanying drawings.

[0051] Reference Figure 1 , Figure 2 , Figure 3 and Figure 4 This application provides a secondary unloading hopper, including: a body 1, a sealing cover A2, a sealing cover B3, a mixing tank 6, and a stirring mechanism 7;

[0052] The main body 1 is divided into a cement storage silo 4 and a sand storage silo 5 by a partition; the bottom of the cement storage silo 4 and the sand storage silo 5 tapers into a round opening; a cement discharge pipe 41 is fixedly installed at the bottom of the cement storage silo 4; a sand discharge pipe 51 is fixedly installed at the bottom of the sand storage silo 5.

[0053] The cement storage silo 4 is equipped with a rotatable sealing cover A2 at its upper end; the sand storage silo 5 is equipped with a rotatable sealing cover B3 at its upper end.

[0054] A mixing tank 6 is fixedly installed below the main body 1, and both the cement discharge pipe 41 and the sand discharge pipe 51 are connected to the mixing tank 6. Flow valves are installed on both the cement discharge pipe 41 and the sand discharge pipe 51. The discharge pipes and flow valves work together to achieve precise control of the discharge speed and quantity. The mixing tank 6 is made of high-quality stainless steel, possessing excellent corrosion resistance and strength. The tank wall undergoes special treatment, resulting in a smooth and flat surface, reducing material adhesion and residue on the tank wall, and facilitating cleaning and maintenance.

[0055] An admixture storage tank 8 and a water tank 9 are fixedly installed below the main body 1; a water pump 91 is fixedly installed on the water tank 9; the input end of the water pump 91 is connected to the water tank 9; the output end of the water pump 91 is connected to the mixing tank 6; a liquid pump 81 is fixedly installed on the admixture storage tank 8; the input end of the liquid pump 81 is connected to the admixture storage tank 8, and the output end of the liquid pump 81 is connected to the mixing tank 6; both the water pump 91 and the liquid pump 81 are equipped with flow meters at their output ends.

[0056] The mixing tank 6 is equipped with a stirring mechanism 7.

[0057] A monitoring mechanism is fixedly installed on the main body 1 to monitor and control the mixing of concrete.

[0058] In this technical solution, cement storage silo 4 contains cement, sand storage silo 5 contains sand, admixture storage tank 8 contains admixtures, and water tank 9 contains water. Cement, sand, water, and admixtures are added to mixing tank 6 in a specific ratio and quantity, and then stirred evenly by a mixing mechanism 7. Timed mixing and adding of materials are controlled by a monitoring mechanism to prevent concrete from hardening. The bottoms of both cement storage silo 4 and sand storage silo 5 are cleverly designed with converging, round openings. This converging structure facilitates the natural accumulation of materials under gravity, achieving centralized discharge and improving efficiency. Furthermore, the round opening shape effectively reduces material residue at the bottom, minimizing waste, and also facilitates a tight and smooth connection with the subsequent discharge pipe.

[0059] Reference Figure 5 The mixing mechanism 7 includes a drive mechanism 71, a horizontal stirring assembly 72, a transmission mechanism 73, and a vertical stirring assembly 74;

[0060] A drive mechanism 71 is fixedly installed above the mixing tank 6;

[0061] A horizontal stirring assembly 72 is rotatably installed inside the mixing tank 6;

[0062] A vertical stirring component 74 is rotatably mounted on the horizontal stirring component 72;

[0063] The mixing tank 6 is equipped with a transmission mechanism 73; the transmission mechanism 73 is connected to the drive mechanism 71 and the vertical stirring assembly 74.

[0064] In this technical solution, the drive mechanism 71 drives the horizontal mixing component 72 to rotate in the horizontal direction to mix the concrete. At the same time, the drive mechanism 71 drives the vertical mixing component 74 to rotate in the vertical direction through the transmission mechanism 73 to mix the concrete. The concrete is mixed in both the horizontal and vertical directions to make it more uniform.

[0065] Reference Figure 6 The drive mechanism 71 includes a motor 711 and a drive gear 712;

[0066] A motor 711 is fixedly mounted on the main body 1; a drive gear 712 and a bevel gear A713 are coaxially fixedly mounted on the output end of the motor 711.

[0067] The drive gear 712 is meshed and connected to the horizontal stirring assembly 72 for transmission.

[0068] The bevel gear A713 meshes with the transmission mechanism 73 for transmission.

[0069] In this technical solution, the starter motor 711 drives the drive gear 712 and the bevel gear A713 to rotate. The drive gear 712 drives the horizontal stirring component 72 to rotate in the horizontal direction, and the bevel gear A713 drives the vertical stirring component 74 to rotate in the vertical direction through the transmission mechanism 73.

[0070] Reference Figure 7 The horizontal stirring assembly 72 includes a scraper 721, a bushing 722, a driven gear 723, and a fish-shaped plate 724;

[0071] Two scraper plates 721 are symmetrically fixed on the bushing 722. The scraper plates 721 are U-shaped frames and are in frictional contact with the inner wall of the mixing tank 6.

[0072] Multiple fish-shaped plates 724 are evenly distributed on the scraping plate 721.

[0073] A driven gear 723 is fixedly installed on the upper end of the bushing 722; the driven gear 723 is meshed with the driving gear 712 for transmission.

[0074] The bushing 722 is provided with a round hole 725, through which the driven gear 723 passes.

[0075] In this technical solution, the driving gear 712 drives the driven gear 723 to rotate, which in turn drives the bushing 722 and the scraper plate 721 to rotate. The scraper plate 721 scrapes away the concrete adhering to the inner wall of the mixing tank 6, preventing the concrete from solidifying there. During the rotation of the scraper plate 721, it also drives the fish-shaped plate 724 to rotate, mixing the concrete horizontally. The fish-shaped plate improves the uniformity of the flow velocity in the horizontal cross-section.

[0076] Furthermore, the transmission mechanism 73 includes a shaft 731, a bevel gear B732, a transmission shaft 733, and a bevel gear C734;

[0077] The shaft 731 is fixedly mounted with bevel gears B732 on both ends coaxially; the shaft 731 is rotatably mounted above the mixing tank 6.

[0078] The drive shaft 733 is rotatably disposed within the circular hole 725 on the bushing 722; bevel gears C734 are coaxially fixed at both ends of the drive shaft 733; bevel gear B732, which is close to the motor 711, meshes with bevel gear A713 for transmission. Another bevel gear B732 meshes with the upper bevel gear C734 for transmission.

[0079] The lower bevel gear C734 is connected to the vertical stirring assembly 74 via a transmission.

[0080] In this technical solution, bevel gear A713 drives bevel gear B732 to rotate, bevel gear B732 drives transmission shaft 733 and bevel gear C734 to rotate, and bevel gear C734 drives vertical stirring assembly 74 to rotate.

[0081] Furthermore, the vertical stirring assembly 74 includes a rotating shaft 741, a rotating plate 742, a positioning rod 743, a stirring blade 744, and a bevel gear D745;

[0082] Rotating plates 742 are fixedly installed at both ends of the rotating shaft 741; multiple positioning rods 743 are fixedly installed on the inner side of the rotating plate 742; multiple stirring blades 744 are evenly distributed and fixedly installed on the positioning rods 743; multiple hexagonal holes 746 are provided on the stirring blades 744.

[0083] A bevel gear D745 is coaxially fixed on the rotating shaft 741; the bevel gear D745 meshes with the bevel gear C734 on the lower side for transmission.

[0084] In this technical solution, the lower bevel gear C734 drives the bevel gear D745 to rotate, the bevel gear D745 drives the rotating shaft 741 and the rotating plate 742 to rotate in the vertical direction, the rotating plate 742 drives the positioning rod 743 and the mixing blade 744 to rotate in the vertical direction, and the mixing blade 744 rotates in the horizontal direction while rotating in the vertical direction, so as to rotate and mix the concrete in both horizontal and vertical directions and improve the mixing effect.

[0085] Furthermore, the monitoring agencies include:

[0086] Data collection module: Collects extensive data on different cements, sands, and admixtures, as well as their water ratios, and annotates the data as reference samples; constructs a concrete mix design knowledge base; constructs a raw material database; collects parameters such as density, setting time, and strength curves for different grades of cement (e.g., PO 42.5, PS 32.5); categorizes and stores data on the particle size distribution (detected by a laser particle size analyzer), mud content, and moisture content of river sand and manufactured sand; for different admixtures, records the effective component content and optimal dosage range (e.g., water-reducing agent dosage 0.5%-2%) of water-reducing agents, etc.; categorizes by project type (building / bridge / tunnel) and stores historical mix design data and corresponding performance indicators (compressive strength, impermeability grade) for C15-C80 concrete.

[0087] Temperature and humidity monitoring module: includes temperature and humidity sensors, which collect temperature and humidity data in mixing tank 6 in real time;

[0088] Pressure monitoring module: includes pressure sensors, which collect pressure data in the mixing tank 6 in real time;

[0089] Image acquisition module: Includes a high-definition camera to acquire high-definition images of the interior of mixing tank 6; the high-definition camera adopts a fully sealed metal shell with a non-stick coating (such as Teflon) on the surface; it has a built-in automatic cleaning device (such as high-pressure air blowing, rotating brush or ultrasonic cleaning); the protection level is ≥IP68, and the lens uses acid and alkali resistant glass; the shell material is 316L stainless steel or titanium alloy; it has a built-in heat sink or water cooling circulation system to ensure that the camera's operating temperature is ≤60℃; it adopts an explosion-proof, dustproof, and waterproof camera (such as IP68 protection level) to adapt to harsh environments; it monitors whether the mixing components (such as fish plate, mixing blades) are stuck or deformed, or whether the concrete is sticky and clumpy; it analyzes the mixing efficiency through video data to optimize parameters such as rotation speed and mixing time.

[0090] Image analysis module: Analyzes acquired images to monitor concrete mix proportions and mixing uniformity in real time, preventing insufficient strength due to inadequate mixing; promptly detects anomalies. It performs uniformity assessment by calculating image entropy based on LBP texture features; higher entropy values ​​indicate better uniformity (threshold: entropy > 7.5 is acceptable). It also performs block identification using connected component analysis; blocks are identified when the area of ​​a white highlighted region is greater than 100px. 2 It is determined to be a clumping;

[0091] Mix proportioning module: Based on the temperature, humidity, and pressure within mixing tank 6, and considering factors such as concrete strength grade, construction conditions, and application scenario, the module determines the proportions and injection volumes of cement, sand, water, and admixtures. A temperature-setting time model is established based on the Arrhenius equation. The module also determines the mixing time prior to the specific application time, ensuring that mixing is completed before the concrete is required to be used.

[0092] Intelligent analysis and prediction module: Combines external temperature and humidity data, and predicts concrete strength based on historical mix proportion data and performance indicators.

[0093] PLC Control Center: Network connected to data collection module, temperature and humidity monitoring module, intelligent analysis and prediction module, image acquisition module, image analysis module, and proportioning module.

[0094] Furthermore, the image analysis module analyzes the acquired images to monitor the concrete mix proportions and mixing uniformity in real time, preventing insufficient strength due to inadequate mixing; and promptly detects abnormalities, including the following steps:

[0095] 1. Image preprocessing: image grayscale conversion, noise reduction, and contrast adjustment;

[0096] Image grayscale conversion: Converting a color image into a grayscale image, removing color interference, and retaining only the contrast between light and dark areas.

[0097] Noise reduction: Use filters to remove noise from the image (such as metallic reflections when stirring) to make the image clearer.

[0098] Adjust contrast: Enhance the light and dark differences between aggregate and cement paste in the image, facilitating subsequent texture analysis.

[0099] 2. Uniformity assessment:

[0100] 2.1 Extracting texture features: Scan each pixel of the image using the LBP method, compare the brightness of the center pixel with the surrounding eight pixels to generate a "texture code", forming the texture feature map of the entire image.

[0101] 2.2 Calculate the uniformity index: Analyze the distribution of different textures in the texture feature map and calculate the "entropy value" (representing the complexity of the texture). The higher the entropy value, the more uniformly the concrete aggregate and cement paste are mixed; if the entropy value is <7.5, it indicates insufficient mixing and adjustment is needed.

[0102] 3. Block identification:

[0103] 3.1 Marking Highlighted Areas: Convert the image to a black and white binary image, set a brightness threshold (e.g., very bright areas), white represents possible lumps, and black represents normal concrete.

[0104] 3.2. Delineate the "block" area: According to the connectivity rule (adjacent white pixels are counted as one block), delineate all white regions and calculate the pixel area of ​​each "white block". If the area of ​​a white block is greater than 100 pixels... 2 If it is, it is determined to be clumping (such as cement paste clumping or aggregate accumulation).

[0105] 3.3 Distinguishing between lumps and normal aggregates: Analyze the shape of the lumps. Lumps usually have blurred edges and irregular shapes, while normal aggregates have more regular shapes.

[0106] 4. Anomaly Warning: When the uniformity entropy value fails to meet the standard, or when the detected agglomeration area exceeds the limit, the system will automatically alarm and mark the problem area on the monitoring screen. After the alarm, the PLC control center will extend the stirring time and increase the stirring speed; if multiple alarms occur consecutively, stirring will be paused and manual inspection will be prompted.

[0107] 5. Record data: Save data such as the uniformity entropy value and clumping status of each batch of concrete, and generate trend charts to facilitate subsequent optimization of the mixing process.

[0108] Furthermore, the proportioning module, taking into account the temperature, humidity, and pressure within the mixing tank 6, determines the proportions and injection volumes of cement, sand, water, and admixtures based on factors such as the concrete's strength grade, construction conditions, and application scenario; this includes the following steps:

[0109] 1. Data Acquisition and Integration: Real-time temperature and humidity data inside the mixing tank are read from the temperature and humidity monitoring module, and pressure data inside the tank is obtained from the pressure monitoring module. Information such as the concrete design strength grade (e.g., C30, C50) and application location (foundation / main structure) is determined. The raw material database is accessed to query the setting characteristics of different batches of cement, the particle size distribution and moisture content of aggregates, and the compatibility parameters of admixtures.

[0110] 2. Initial determination of basic mix proportions based on strength grade:

[0111] 2.1 Determination of water-cement ratio: Based on the concrete usage requirements, the design strength grade, and referring to historical mix proportion experience tables, the ratio of cement to water and the amount of cement and water are initially determined.

[0112] 2.2 Calculation of sand and gravel usage: The actual usage of sand and gravel is calculated by combining the bulk density of aggregates with the "absolute volume method" or "assumed apparent density method".

[0113] 3. Modification of environmental and construction conditions:

[0114] 3.1 Adjustments for the effects of temperature and humidity:

[0115] When the temperature rises, the amount of water used should be increased appropriately to compensate for water evaporation;

[0116] When humidity is low, adjust the amount of water-reducing agent or the moisture content of aggregate to improve water retention.

[0117] 3.2. Pressure and construction method compatibility:

[0118] When abnormal pressure occurs, adjust the aggregate particle size or the concrete fluidity.

[0119] Adjust the slump target value according to the pumping height (for example, high-rise buildings require higher fluidity).

[0120] 4. Optimization of admixture dosage:

[0121] Water-reducing agent calculation: Adjust the dosage of water-reducing agent within the recommended dosage range according to the flowability requirements.

[0122] Early-strength agents and other special admixtures: When constructing in winter or when there are special time requirements, add early-strength agents according to the product instructions.

[0123] 5. A temperature-condensation time model was constructed using an improved Arrhenius equation:

[0124] 5.1 Setting Time Prediction: A model relating temperature and setting time is constructed, and the initial setting time of the concrete is estimated based on the current temperature inside the container. The improved Arrhenius temperature-setting time model is as follows:

[0125] Ln(t 初凝 / t0)=(E a / R){[1 / (T+273.15)-1 / [T0+273.15]}+a H ln(H)+(β P / P);

[0126] In the formula, E a It is the activation energy of the hydration reaction (approximately 40-60 kJ / mol for cement hydration); R is the gas constant (8.314 J / (mol·K)); t0 is the initial setting time at a reference temperature of 20℃, standard humidity (50% RH), and standard pressure (101.3 kPa); a H It is the humidity influence coefficient (calibrated experimentally, usually a).H =-0.1 to -0.3; β P It is the pressure influence coefficient (β under high pressure). P =100~500 (unit: kPa); H is the real-time relative humidity inside the mixing tank; P is the real-time pressure inside the mixing tank (kPa). t 初凝 It refers to the initial setting time of the concrete.

[0127] 5.2. The initial setting time is corrected based on real-time temperature, humidity, and pressure. The correction model is as follows:

[0128] t 初凝X =t 初凝 ×K T K H K P ;

[0129] K T ={0.9, when |TT ref |>5; 1.0, when |TT ref |≤5; 1.1, when |TT ref |>5 and T <T ref};

[0130] K H = {0.85, when H < 40%; 1.0, when 40% ≤ H < 60%; 1.15, when H > 60%};

[0131] K P = {0.975, when P < 100 kPa; 1.0, when 100 ≤ P < 120 kPa; 1.025, when P > 120 kPa};

[0132] In the formula, T is the real-time temperature inside the mixing tank (°C); T ref H is the reference temperature (usually 20℃, corresponding to standard curing conditions); P is the real-time relative humidity inside the mixing tank; t is the real-time relative pressure inside the mixing tank; t is the reference temperature (usually 20℃, corresponding to standard curing conditions); H is the real-time relative humidity inside the mixing tank; P is the real-time relative pressure inside the mixing tank; t is the reference temperature (usually 20℃, corresponding to standard curing conditions); t is the reference temperature (usual 初凝X This is a revised prediction of the initial setting time; K T It is the temperature correction factor; K H It is the humidity correction factor; K P It is the pressure correction factor.

[0133] 5.3 Determining the stirring time: Based on the revised predicted initial setting time and planned usage time, the optimal stirring start time is deduced.

[0134] 6. Validation of the mixing scheme:

[0135] 6.1 Output final mix proportions: Integrate all adjusted parameters, combined with temperature, humidity and pressure, to generate an accurate list of quantities for cement, sand, water and admixtures.

[0136] 6.2 Simulation Verification and Correction: Verify the working performance and strength development of the formula by comparing historical data or conducting small-scale trials, and make adjustments as necessary.

[0137] 7. Command Transmission: The final proportioning parameters are sent to the PLC control system to drive the precise metering and dispensing of each raw material. Real-time monitoring of temperature, humidity, and pressure changes during production ensures stable proportioning by automatically fine-tuning parameters.

[0138] Furthermore, the intelligent analysis and prediction module combines external temperature and humidity data with historical mix design data and performance indicators to predict parameters such as concrete strength and durability. This includes the following steps:

[0139] 1. Data collection:

[0140] Mix proportion and performance data acquisition: Extract the proportions of different types of cement (e.g., PO 42.5, P.S32.5), sand (river sand, manufactured sand), water, and admixtures from the data collection module. Simultaneously, collect the compressive strength, impermeability grade, and durability parameters (e.g., freeze-thaw cycle resistance, sulfate resistance, etc.) of the corresponding concrete mixes. Record the time of each data acquisition, the operator, and the model of the testing equipment in detail to ensure data accuracy.

[0141] Environmental data access: Connect to an external meteorological system to acquire real-time temperature and humidity data during concrete production. Use timestamps to accurately match environmental data with historical mix design data; for example, record the temperature and humidity corresponding to the start time of concrete mixing. To ensure data continuity, environmental data can be collected every 5-10 minutes to avoid missing data affecting predictions.

[0142] 2. Data integration: including data cleaning and data standardization;

[0143] 2.1 Data cleaning: including outlier handling, missing value handling, and encoding of non-numerical data;

[0144] Outlier handling: Use the 3σ principle to identify and remove outliers in data such as temperature, humidity, and intensity. Specifically, you can use Python's Pandas library or professional data analysis tools to quickly detect and remove data that significantly deviates from the normal range.

[0145] Missing value handling: Check for missing data. For a small number of missing data (missing percentage less than 5%), fill with the mean or median; for a large number of missing data samples (missing percentage more than 20%), delete them directly to prevent interference with model training. For example, if a batch of concrete strength data is missing, it can be filled with the mean strength of concrete with the same mix proportion; if a group of environmental data is missing a large number of times, delete that group of data directly.

[0146] Non-numerical data encoding: Non-numerical data such as mud content and moisture content are converted into numerical data using unique thermal encoding. For example, the mud content is classified into three levels: low, medium, and high.

[0147] 2.2 Data Standardization: All numerical data undergo normalization or standardization to eliminate the influence of data units. Common methods include Min-Max normalization and Z-score standardization. Min-Max normalization maps data to the 0-1 interval, while Z-score standardization transforms the data into a distribution with a mean of 0 and a standard deviation of 1.

[0148] The processed data is divided into training, validation, and test sets. The training set is used for model parameter learning, the validation set is used for hyperparameter tuning and preventing overfitting, and the test set is used to evaluate the model's generalization ability. Stratified sampling is used during the partitioning to ensure that the data distribution of each dataset is similar to that of the original dataset.

[0149] 3. Model Construction: A Long Short-Term Memory (LSTM) network model was selected. LSTM excels at processing long-term dependent time-series data and can capture the impact of temperature and humidity changes over time on concrete strength.

[0150] The LSTM model structure is as follows:

[0151] Input layer: The number of neurons is the same as the number of input features. For example, if cement usage, sand usage, water usage, admixture usage, temperature, humidity, etc. are used as inputs, the number of neurons in the input layer is the total number of features.

[0152] Hidden layers: One to three hidden layers are set. The number of neurons in each hidden layer can be determined by empirical formulas, grid search, or random search. The hidden layers are connected by LSTM units, which use gating mechanisms such as forget gates, input gates, and output gates to handle long-term dependencies.

[0153] Output layer: The number of neurons is determined by the prediction target. If only concrete strength is predicted, the output layer has one neuron. If multiple parameters such as strength and durability are predicted at the same time, the number of neurons in the output layer is the number of parameters. For regression problems, no activation function is used in the output layer.

[0154] The concrete strength prediction model is as follows:

[0155] S(t) = 30[C / (C+V+A)] 2 [1+0.03(T 护 -20)][0.8+0.2min(H 护 / 95,1)]log(1+0.5t); where,

[0156] S(t) is the predicted concrete strength; C is the absolute volume of cement; V is the absolute volume of water; A is the absolute volume of air; T 护 This refers to the concrete curing temperature (unit: °C). H 护 This refers to the relative humidity of the concrete curing environment. t is the concrete curing time (unit: days).

[0157] 4. Model Training and Optimization: The loss function and optimizer are determined. Since this is a regression prediction problem, mean squared error (MSE) is chosen to measure the difference between the predicted and actual values, and Adam is selected as the optimizer. The model is trained using the training set data, with appropriate training epochs and batch sizes set, adjusted based on the amount of data and computational resources. During training, the loss value is recorded for each epoch, and the model performance is evaluated on the validation set, observing changes in the validation set loss. If the validation set loss stops decreasing or begins to increase after several consecutive epochs, overfitting may occur, requiring adjustment of the model structure or hyperparameters. Grid search or random search methods are used to combine and fine-tune hyperparameters such as the number of hidden layer neurons, learning rate, and number of training epochs. Taking grid search as an example, all combinations of hyperparameters are traversed, and the loss of each combination on the validation set is calculated. The optimal hyperparameter combination is determined with the goal of minimizing the validation set loss or maximizing the prediction accuracy.

[0158] 5. Model Evaluation: Use test set data to evaluate the trained model, calculate metrics such as mean squared error (MSE), root mean square error (RMSE), and mean absolute error (MAE) to determine the model's prediction accuracy.

[0159] Visual analysis is performed to create scatter plots of predicted and actual values, as well as histograms of error distribution, providing an intuitive analysis of the model's predictive performance. The closer the scatter points are to the diagonal, the more accurate the prediction; the error distribution histogram displays the error distribution, allowing for assessment of whether the errors conform to a normal distribution and other patterns, thus evaluating the model's reliability.

[0160] 6. Model Deployment and Application: Model saving and loading utilize Python's pickle or joblib libraries to save trained models. In practical applications, the model file is loaded and integrated into the monitoring system. For example, on a web-based monitoring platform, the Flask or Django framework can be used to call the model and implement online prediction functionality. Real-time prediction is performed after the monitoring system acquires new mix proportion data and real-time temperature and humidity data. This data is then standardized according to the data preprocessing steps and input into the loaded model to obtain prediction results for parameters such as concrete strength and durability. To ensure real-time performance, new data can be automatically collected, processed, and predicted every ten minutes.

[0161] 7. Prediction Result Display: The results are visualized on the intelligent analysis and prediction visualization platform. A line graph shows the predicted trend of concrete strength over time, and a bar chart compares the predicted strength values ​​under different mix proportions, allowing users to intuitively understand the prediction situation. The prediction results are fed back to the mix proportioning module. If the predicted strength does not meet the standard, the system automatically adjusts the cement dosage or admixture dosage and re-predicts until the strength meets the requirements. Simultaneously, each mix proportion adjustment process and result is recorded, forming an optimization log for subsequent analysis and summarization.

[0162] Furthermore, a nano self-cleaning coating is applied to the inner walls and outlet surfaces of the concrete storage silo 4, sand storage silo 5, and mixing tank 6. This coating is superhydrophobic and superoleophobic, effectively preventing material adhesion.

[0163] Furthermore, a vibrating screen is installed at the bottom of the sand storage bin 5 to filter the sand.

[0164] Furthermore, multiple braked wheels are rotatably mounted under the main body, allowing for easy repositioning as needed for concrete pouring.

[0165] Reference Figure 1 The present invention provides a method for using a secondary unloading hopper, comprising the following steps.

[0166] S1. The monitoring agency's data collection module collects a large amount of data on different types of cement, sand, and admixtures, as well as their proportions with water, and labels the data as reference samples.

[0167] S2. Obtain the type, application scenario, and application time of the concrete; determine the types of cement, sand, and admixtures required.

[0168] S3: The temperature and humidity monitoring module collects real-time temperature and humidity data inside the mixing tank 6; the pressure monitoring module collects real-time pressure data inside the mixing tank 6.

[0169] S4, the proportioning module, takes into account the temperature, humidity and pressure inside the mixing tank 6, and determines the proportions and injection amounts of cement, sand, water and admixtures based on factors such as the strength grade of the concrete, construction conditions and usage scenarios; and determines the mixing time before the specific use time to ensure that the mixing is completed before the concrete is needed.

[0170] S5. According to the predetermined time and the set ratio, add cement, sand, water and admixtures to the mixing tank 6 in quantitative amounts;

[0171] S6. The mixing mechanism 7 mixes the cement, sand, water, and admixtures evenly. The image acquisition module acquires high-definition images of the inside of the mixing tank 6. The drive mechanism 71 drives the horizontal mixing component 72 to rotate horizontally to mix the concrete. At the same time, the drive mechanism 71 drives the vertical mixing component 74 to rotate vertically through the transmission mechanism 73 to mix the concrete. The concrete is mixed in both horizontal and vertical directions to make it more evenly mixed.

[0172] S7, the image analysis module analyzes the acquired images to monitor the concrete mix proportions and mixing uniformity in real time, preventing insufficient strength due to inadequate mixing; and promptly detecting abnormalities. It also identifies lumps.

[0173] The S8 intelligent analysis and prediction module combines external temperature and humidity data with historical mix proportion data and performance indicators to predict concrete strength.

[0174] S9. The proportioning module adjusts the proportions and injection amounts of cement, sand, water, and admixtures based on the analysis results of the intelligent analysis and prediction module, combined with the temperature, humidity, and pressure inside the mixing tank 6.

[0175] S10. Based on the adjusted mix proportions and injection volume, add cement, sand, water, and admixtures, and mix thoroughly. Stir thoroughly ten minutes before using the concrete.

[0176] This invention can determine the material ratio and injection volume based on multiple factors such as the type of concrete used, the scenario, the time, the temperature, humidity, pressure inside the mixing tank, the strength grade, and the construction conditions, while precisely planning the mixing time. This comprehensive approach allows the concrete mix ratio to be highly adaptable to different engineering needs, ensuring that the concrete performs optimally in actual use. For example, in high-temperature environments or large-volume pouring scenarios, it effectively avoids problems such as cracking and insufficient strength in the concrete. High-quality and uniform mixing effect: The mixing mechanism uses horizontal and vertical mixing components working simultaneously to mix the concrete in all directions. Compared to traditional single-direction mixing, this allows for more thorough mixing of cement, sand, water, and admixtures, significantly improving the uniformity of concrete mixing, reducing strength dispersion caused by insufficient mixing, and improving the overall quality of the concrete. The image analysis module analyzes images in real time, monitors the concrete mix ratio and mixing uniformity, and promptly detects abnormalities such as clumping; the intelligent analysis and prediction module combines external environmental data with historical data to predict the concrete strength. The combination of these two technologies forms an intelligent quality control system that extends from the production process to the final performance. This system can correct errors in a timely manner during production and predict quality problems in advance, thereby reducing the defect rate and providing a reliable guarantee for project quality.

[0177] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method of using a secondary discharge hopper, characterized in that, Includes the following steps: S1. The monitoring agency's data collection module collects a large amount of data on different types of cement, sand, and admixtures, as well as their proportions with water, and labels the data. S2. Obtain the type, application scenario, and application time of the concrete; determine the types of cement, sand, and admixtures required. S3: The temperature and humidity monitoring module collects real-time temperature and humidity data inside the mixing tank; the pressure monitoring module collects real-time pressure data inside the mixing tank. S4, the proportioning module specifies the proportions and injection amounts of cement, sand, water, and admixtures; and determines the mixing time before the specific usage time; S5. Add cement, sand, water and admixtures into the mixing tank according to the predetermined time and proportion; S6. The mixing mechanism mixes cement, sand, water, and additives evenly; the image acquisition module acquires high-definition images of the inside of the mixing tank. S7. The image analysis module analyzes the acquired images to promptly detect anomalies. S8, Intelligent Analysis and Prediction Module predicts concrete strength; S9. The proportioning module adjusts the proportions and injection amounts of cement, sand, water, and admixtures based on the analysis results of the intelligent analysis and prediction module. S10. Based on the adjusted proportions and injection volume, add cement, sand, water, and admixtures, and mix thoroughly.

2. The method of using the secondary unloading hopper according to claim 1, characterized in that: Step S7 includes the following steps: S71. Image preprocessing: Preprocess the acquired image, including image grayscale conversion, noise reduction, and contrast adjustment; S72. Uniformity Assessment: Extract texture features to form a texture feature map of the entire image; calculate the uniformity index. S73, Block Identification: S73.1 Mark the highlighted areas; convert the image to a black and white binary image and set the brightness threshold; S73.

2. Circle the block range, and according to the connectivity rule, circle all white areas and calculate the pixel area of ​​each white block; S73.3, Distinguish between agglomerated and normal aggregates; S74. Abnormal warning: When the uniformity entropy value does not meet the standard, or when the agglomeration area is detected to exceed the limit, the system will automatically alarm, and the PLC control center will extend the stirring time or increase the stirring speed. S75. Record data: Save the uniformity entropy value and clumping status data of each batch of concrete.

3. The method of using the secondary unloading hopper according to claim 1, characterized in that: Step S4 includes the following steps: S41. Data Acquisition and Integration: Read real-time temperature and humidity data inside the mixing tank from the temperature and humidity monitoring module, and obtain pressure data inside the tank from the pressure monitoring module; clarify the concrete design strength grade and application location information. S42. Preliminary determination of basic mix proportions based on strength grade: Based on the concrete usage requirements, preliminarily determine the ratio of cement to water and the amount of cement and water used; calculate the actual amount of sand and gravel used. S43, Modification of Environmental and Construction Conditions; S44. Optimization of admixture dosage; S45. A temperature-condensation time model was constructed using the improved Arrhenius equation; S46. Verification of the mixing scheme generation: S46.1 Output final proportion: Integrate all adjusted parameters, combined with temperature, humidity and pressure, to generate an accurate list of the dosage of cement, sand, water and admixtures; S46.2 Simulation Verification and Correction: Verify the working performance and strength development of the formula by comparing historical data or small-scale trial mixing, and make adjustments as necessary; S47, Command Sending: Send the final proportion parameters to the PLC control system to drive the precise metering and dispensing of each raw material.

4. The method of using the secondary unloading hopper according to claim 3, characterized in that: Step S45 includes the following steps: S45.1 Setting Time Prediction: Construct a model of the relationship between temperature and setting time, and calculate the initial setting time of concrete based on the current temperature inside the tank. S45.

2. Adjust the initial setting time according to real-time temperature, humidity and pressure; S45.3 Determination of stirring time: Based on the revised predicted initial setting time and planned usage time, the optimal stirring start time is deduced.

5. The method of using the secondary unloading hopper according to claim 1, characterized in that: Step S8 includes the following steps: S81. Data Collection: Extract the dosage ratios of different types of cement, sand, water, and admixtures from the data collection module, and simultaneously collect the compressive strength, impermeability grade, and durability parameters of the corresponding concrete mix; acquire real-time temperature and humidity data during concrete production. S82. Data integration: including data cleaning and data standardization; S83. Model Building: Construct a Long Short-Term Memory (LSTM) network model to predict concrete strength; S84, Model Training Optimization; S85. Model Evaluation: Use test set data to evaluate the trained model and assess its reliability. S86. Model Deployment and Application: In practical applications, the model file is loaded and integrated into the monitoring system for real-time prediction. S87. Prediction Result Display: Visualize the prediction results; provide feedback on the prediction results to the ratio setting module.

6. The method of using the secondary unloading hopper according to claim 1, characterized in that: The mixing mechanism includes a drive mechanism, a horizontal stirring assembly, a transmission mechanism, and a vertical stirring assembly; A drive mechanism is fixedly installed above the mixing tank; A horizontal stirring assembly is rotatably installed inside the mixing tank; A vertical stirring component is rotatably mounted on the horizontal stirring component; The mixing tank is equipped with a transmission mechanism; the transmission mechanism is connected to the drive mechanism and the vertical stirring assembly.

7. The method of using the secondary unloading hopper according to claim 6, characterized in that: The drive mechanism includes a motor and a drive gear; A motor is fixedly mounted on the main body; a drive gear and a bevel gear A are coaxially fixedly mounted on the output end of the motor; the drive gear is meshed with the horizontal stirring assembly for transmission; the bevel gear A is meshed with the transmission mechanism for transmission. The horizontal stirring assembly includes a scraper, a bushing, a driven gear, and a fish-shaped plate. Two scraper plates are symmetrically fixed on the bushing and are in frictional contact with the inner wall of the mixing tank. Multiple fish-shaped plates are evenly distributed on the scraper plates. A driven gear is fixedly installed at the upper end of the bushing. The driven gear meshes with the driving gear for transmission.

8. The method of using the secondary unloading hopper according to claim 6, characterized in that: The transmission mechanism includes a shaft, bevel gear B, a drive shaft, and bevel gear C; A bevel gear B is fixedly mounted coaxially at both ends of the shaft; the shaft is rotatably mounted above the mixing tank. Both ends of the drive shaft are coaxially fixed with bevel gears C; the bevel gear B near the motor meshes with bevel gear A for transmission; the other bevel gear B meshes with the upper bevel gear C for transmission; the lower bevel gear C is connected to the vertical stirring assembly for transmission. The vertical stirring assembly includes a rotating shaft, a rotating plate, a positioning rod, stirring blades, and a bevel gear D; Rotating plates are fixedly installed at both ends of the rotating shaft; multiple positioning rods are fixedly installed on the inner side of the rotating plates; multiple stirring blades are evenly distributed and fixedly installed on the positioning rods; multiple hexagonal holes are provided on the stirring blades; a bevel gear D is coaxially fixedly installed on the rotating shaft; the bevel gear D is meshed and connected to the bevel gear C on the lower side.

9. The method of using the secondary unloading hopper according to claim 1, characterized in that: Monitoring agencies include: Data collection module: Collects a large amount of data on different types of cement, sand, and admixtures, as well as their water ratio data, and labels the data as a reference sample; Temperature and humidity monitoring module: includes temperature and humidity sensors, which collect temperature and humidity data in the mixing tank in real time; Pressure monitoring module: includes pressure sensors, which collect pressure data in the mixing tank in real time; Image acquisition module: includes a high-definition camera to acquire high-definition images of the interior of the mixing tank; Image analysis module: Analyzes the acquired images to promptly detect anomalies; Mix proportioning module: Defines the proportions and dosages of cement, sand, water, and admixtures; and determines the mixing time prior to the specific application time. Intelligent analysis and prediction module: Combines external temperature and humidity data, and predicts concrete strength based on historical mix proportion data and performance indicators; PLC Control Center: Network connected to data collection module, temperature and humidity monitoring module, intelligent analysis and prediction module, image acquisition module, image analysis module, and proportioning module.

10. The secondary unloading hopper according to claim 1, comprising a body, a sealing cover A, a sealing cover B, a mixing tank, and a stirring mechanism; characterized in that: The main body is divided into a cement storage silo and a sand storage silo by a partition. A cement discharge pipe is fixedly installed at the bottom of the cement storage silo; a sand discharge pipe is fixedly installed at the bottom of the sand storage silo; a sealing cover A is rotatably installed at the top of the cement storage silo; a sealing cover B is rotatably installed at the top of the sand storage silo; a mixing tank is fixedly installed below the main body, and both the cement discharge pipe and the sand discharge pipe are connected to the mixing tank; both the cement discharge pipe and the sand discharge pipe are equipped with flow valves; an admixture storage tank and a water tank are installed below the main body; a water pump is fixedly installed on the water tank; the input end of the water pump is connected to the water tank; the output end of the water pump is connected to the mixing tank; a liquid pump is fixedly installed on the admixture storage tank; the input end of the liquid pump is connected to the admixture storage tank, and the output end of the liquid pump is connected to the mixing tank; a stirring mechanism is installed inside the mixing tank; a monitoring mechanism is fixedly installed on the main body to monitor and control the mixing of the concrete.

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