A Concrete Mixing Temperature Control Method and System Based on Internet of Things Technology

Abstract

The present invention discloses a method and system for controlling the temperature of concrete mixing based on Internet of Things technology. The method includes: based on Internet of Things technology, collecting temperature data of the mixture in different stages in real time; establishing a calculation model for the temperature of the concrete mixture when it leaves the machine, and on this basis, constructing a mathematical model with the optimal cost as the objective function, and using the SLSQP algorithm for target optimization design; developing an intelligent temperature control system based on the collected temperature data and a preset control algorithm, and integrating it with an automated control system. The temperature control system can send the calculated proportional data to the control system of the feeding amount to realize the automated control of the feeding process. The present invention realizes minimizing the cost of cooling materials while meeting the requirements for the temperature of concrete mixing, reduces the overall construction cost, and improves the economic benefits. By precisely controlling the addition amount of cooling materials, unnecessary resource consumption is reduced, achieving cost optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of concrete temperature control, and particularly to a concrete mixing temperature control method and system based on Internet of Things (IoT) technology. Background Art

[0002] Concrete, as one of the indispensable materials in civil engineering construction, its quality and strength have an important impact on structural safety and service life. Temperature has a significant impact on the hardening process and final properties of concrete. Improper temperature control may lead to quality problems such as insufficient strength and cracking. Therefore, it is of great significance to develop an effective concrete temperature control method. The Internet of Things (IoT) technology is increasingly widely used in many fields. By connecting sensors, devices, and computing resources to each other, the IoT technology can realize the real-time collection, processing, and analysis of data. By analyzing the data, the system can automatically adjust the temperature in the concrete. For example, by adjusting the ratio of cement and water, or using cooling or heating equipment to ensure that the concrete temperature is maintained within the ideal range. The application of the IoT technology makes the concrete temperature management automated and intelligent, thus optimizing the use of building materials, reducing waste, and at the same time improving the overall quality and efficiency of concrete projects.

[0003] The existing methods for controlling the temperature of concrete mixtures mainly rely on manual experience and trial-and-error. Construction workers make estimations and adjustments based on factors such as weather conditions and material types. These methods usually include manual or semi-automatic temperature monitoring equipment, and the adjustment of the ratio of cement and water based on experience. Under extreme climate conditions, construction workers need to make temperature adjustments according to personal judgment to ensure the quality and performance of the concrete.

[0004] The existing technologies mainly have the following defects: 1. The existing methods rely on the subjective judgment of construction workers and are easily affected by personal abilities, experience, and emotions, resulting in insufficient accuracy of temperature control; 2. Manual or semi-automatic temperature monitoring equipment cannot provide real-time data, resulting in untimely temperature regulation responses and affecting construction efficiency; 3. The existing methods are difficult to adapt to changing environmental conditions, especially under extreme climate conditions, and the inaccuracy of human judgment may lead to unqualified concrete performance or potential safety hazards; 4. The commonly used methods of adding water or ice do not consider cost optimization and may lead to resource waste and reduced economic benefits; 5. Due to the lack of an integrated data management system, the existing methods perform poorly in data collection and analysis and are difficult to form an effective data-driven decision support system; 6. The existing methods lack a refined regulation mechanism and are difficult to adapt to the specific requirements of different environmental conditions and concrete formulations. Summary of the Invention

[0005] In view of the above defects or improvement requirements of the prior art, the purpose of the present invention is to provide a concrete mixing temperature control method and system based on the Internet of Things technology. By establishing a concrete mixture calculation model with the optimal cost and using the Internet of Things technology to collect the temperature data of the mixture, it realizes minimizing the cost of cooling materials while meeting the requirements of concrete mixing temperature. This method avoids the waste of resources caused by inaccurate empirical judgment in the traditional method, thereby reducing the overall construction cost and improving the economic benefits. By precisely controlling the addition amount of cooling materials, unnecessary resource consumption is reduced, and cost optimization is achieved.

[0006] In the first aspect, the present invention provides a concrete mixing temperature control method based on the Internet of Things technology, including:

[0007] S100. Real-time collect the temperature data of the mixture at different stages;

[0008] S200. Based on the theory of heat release and heat absorption of the concrete mixture, establish a calculation model for the discharge temperature of the concrete mixture, and on this basis, construct a mathematical model with the optimal cost as the objective function, and use the SLSQP algorithm for target optimization design;

[0009] S300. Develop an intelligent temperature control system based on the collected temperature data and a preset control algorithm. The temperature control system can send the calculated proportional data to the control system of the feeding amount to realize the automatic control of the feeding process;

[0010] S400. Continuously monitor the change of the discharge temperature of the concrete mixture, and adjust the calculation parameters according to the actual situation to optimize the control effect.

[0011] Further, the calculation formula of the discharge temperature calculation model of the concrete mixture in step S200 is:

[0012] C g ΔT g m g +C s ΔT s m s +C c ΔT c m c +C f ΔT f m f +

[0013] C w ΔT g w g +C w ΔT s w s +C w ΔT w mw +C iw ΔT cw m cw +

[0014] C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0,

[0015] where: c g , c s , c c , c f , c w , c iw , c i represent the specific heat capacities of stone, sand, cement, fly ash, water, cold water and ice; ΔT g , ΔT s , ΔT c , ΔT f , ΔT w , ΔT cw , ΔT i represent the differences between the temperatures of stone, sand, cement, fly ash, water, cold water and ice and the outlet temperature; ΔT i1 , ΔT i2 represent the difference between the temperature of ice and zero degree, and the difference between zero degree and the outlet temperature; m g , m s , m c , m f represent the masses of stone, sand, cement and fly ash after deducting the water content; w g , w s represent the mass of free water in stone and the mass of free water in sand; m w , m cw , m i represent the masses of water, cold water and ice; Q i represents the heat of fusion per unit mass of ice.

[0016] Furthermore, the mathematical model with the cost optimization as the objective function in step S200 is:

[0017] min λ w m w +λ cw m cw +λ i m i

[0018] C g ΔTg m g +C s ΔT s m s +c c ΔT c m c +c f ΔT f m f +

[0019] s.t.C w ΔT g w g +C w ΔT s w s +C w ΔT w m w +C iw ΔT cw m cw +

[0020] C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0

[0021] m w +w g +w s +m cw +m i -W w =0

[0022] m w ,m cw ,m i ≥0 ,

[0023] In the formula, Ww represents the total mass of water in the concrete mix ratio; λw, λcw and λi represent the unit costs of normal-temperature water, cold water and ice, respectively.

[0024] Furthermore, the intelligent temperature control system described in step S300 will call a specific algorithm to calculate the optimal proportions of normal-temperature water, cold water and ice. The target optimization algorithm may be based on multiple factors such as temperature and cost optimization to achieve the best temperature control effect.

[0025] Furthermore, the step S400 includes:

[0026] Record and store the mix ratio data of different materials using the mix ratio management function, including the proportions of components such as cement, sand, aggregate, water, etc., and adjust and modify according to specific engineering requirements.

[0027] Further, the step S400 includes:

[0028] Manage the reference calculation parameters using the calculation parameter management function, including the cold water temperature, ice temperature, and discharge temperature.

[0029] Further, the step S400 includes:

[0030] Verify the mix ratio data and reference calculation parameters using the verification function to ensure that they meet relevant standards and specifications, and improve the reliability of construction quality and material performance.

[0031] In a second aspect, the present invention provides a concrete mixing temperature control system based on Internet of Things technology, which is implemented by any step in the above-mentioned concrete mixing temperature control method based on Internet of Things technology, and includes:

[0032] Temperature acquisition module: Used to monitor the temperature of concrete and its constituent materials in real time during the concrete mixing process using sensors such as infrared temperature measurement and four-way pipe thread probes, and transmit the data to the data storage and analysis module;

[0033] Data storage and analysis module: Use a database to store temperature data, and calculate the optimal proportions of normal temperature water, cold water, and ice through specific algorithms, and transmit the information to the intelligent control module;

[0034] Intelligent control module: According to the information transmitted by the data storage and analysis module, realize the automatic control of the feeding process.

[0035] In a third aspect, the present invention provides an electronic device, which is characterized by including:

[0036] At least one processor, at least one memory, and a communication interface; wherein,

[0037] The processor, memory, and communication interface communicate with each other;

[0038] The memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the computer program to implement the control method.

[0039] In a fourth aspect, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the control method is implemented.

[0040] The beneficial effects of the present invention:

[0041] 1. The present invention optimizes the cost model by using the SLSQP algorithm, achieving the minimization of the cost of cooling materials while meeting the requirements of the concrete mixing temperature. This method avoids the waste of resources caused by inaccurate empirical judgment in traditional methods, thereby reducing the overall construction cost and improving the economic efficiency. By precisely controlling the addition amount of cooling materials, unnecessary resource consumption is reduced, and cost optimization is achieved.

[0042] 2. The present invention realizes the precise control of the concrete mixing temperature by using the Internet of Things technology to monitor and transmit the temperature data of concrete and its components in real time, combined with the analysis of the cloud platform and the calculation of intelligent algorithms. This method not only improves the accuracy of temperature control, but also reduces human errors and improves the production efficiency. The automated control process reduces manual intervention, making the production process smoother and more efficient.

[0043] 3. The temperature data collected and stored in real time by the present invention provides support for data analysis and decision-making, making the production process more transparent and traceable. The data accumulated in the long term helps to discover potential problems and provides a basis for continuously improving the quality of concrete. The data-driven decision support system makes production management more scientific and systematic, promoting the continuous improvement of the quality of concrete projects.

[0044] 4. The present invention can adapt to different environmental conditions and the requirements of concrete formulations. Especially under extreme climate conditions, it can provide stable and reliable temperature control effects. Precise temperature control helps to prevent concrete quality problems caused by temperature, such as insufficient strength, cracking, etc., thus ensuring the safety and durability of concrete structures. In addition, by reducing resource waste, this method also meets the requirements of sustainable development and has a positive significance for environmental protection.

[0045] The additional aspects and advantages of this application will be partially given in the following description, which will become obvious from the following description, or can be understood through the practice of this application. Brief Description of the Drawings

[0046] The above-mentioned and / or additional aspects and advantages of this application will become obvious and easy to understand from the following description of the embodiments in conjunction with the drawings, where:

[0047] Figure 1 is a schematic diagram of a method for controlling the concrete mixing temperature based on the Internet of Things technology in an embodiment of the present invention;

[0048] Figure 2 is a schematic diagram of the overall structure of the intelligent temperature control system in an embodiment of the present invention;

[0049] Figure 3 is a schematic diagram of a system for controlling the concrete mixing temperature based on the Internet of Things technology in an embodiment of the present invention; Detailed implementation manners

[0050] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present invention, rather than limiting the present invention. In addition, it should be noted that for the convenience of description, only parts related to the present invention rather than all structures are shown in the drawings.

[0051] Those skilled in the art of the present technology can understand that unless specifically stated, the singular forms "a", "an", "the" and "said" used herein may also include the plural forms. It should be further understood that the term "comprising" used in the specification of the present application means the presence of the described features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or their combinations.

[0052] Those skilled in the art of the present technology can understand that unless otherwise defined, all terms (including technical terms and scientific terms) used herein have the same meaning as the general understanding of those of ordinary skill in the field to which the present application belongs. It should also be understood that terms such as those defined in a general dictionary should be understood to have a meaning consistent with the meaning in the context of the prior art, and will not be interpreted in an idealized or overly formal sense unless specifically defined as in the embodiments of the present application.

[0053] The object of the present invention is to provide a method and system for controlling the temperature of concrete mixing based on Internet of Things technology. By establishing a computational model of concrete mixture with the optimal cost, and using Internet of Things technology to collect the temperature data of the mixture, it realizes minimizing the cost of cooling materials while meeting the requirements of concrete mixing temperature. This method avoids the waste of resources caused by inaccurate empirical judgment in the traditional method, thereby reducing the overall construction cost and improving the economic benefits. By precisely controlling the addition amount of cooling materials, unnecessary resource consumption is reduced, and cost optimization is achieved.

[0054] Embodiment 1

[0055] As Figure 1 shown, the embodiment of the present invention provides a method for controlling the temperature of concrete mixing based on Internet of Things technology, including:

[0056] S100. Based on Internet of Things technology, collect the temperature data of the mixture at different stages in real time;

[0057] S200. Establish a computational model for the temperature of the concrete mixture out of the machine based on the theory of heat release and absorption of the concrete mixture, and on this basis, construct a mathematical model with the optimal cost as the objective function, and use the SLSQP algorithm for objective optimization design;

[0058] S300. Develop an intelligent temperature control system based on the collected temperature data and a preset control algorithm, and integrate it with an automated control system. The temperature control system can send the calculated proportional data to the control system of the feeding amount to achieve automated control of the feeding process;

[0059] S400. Continuously monitor the temperature change of the concrete mixture out of the machine, and adjust the calculation parameters according to the actual situation to optimize the control effect.

[0060] The specific steps are as follows:

[0061] S1. Sensor deployment:

[0062] The temperature of the discharge port of the mixing plant is monitored by infrared thermometry and is arranged at a certain distance from the concrete mixer to measure the surface temperature of the concrete without contact. During installation, it is necessary to ensure that the sensor is aligned with the target area and avoid interference factors such as heat sources and reflections. For the powder tank of the mixing plant, a four-way pipe threaded probe is used, and the probe is inserted into the inside of the powder tank or the part in contact with the concrete and fixed by threads to ensure a stable measurement environment and contact area, and monitor the temperature inside the tank. The temperature monitoring of the liquid in the mixing plant uses a stainless steel multi-probe temperature sensor to collect the temperature data of the liquid in real time, and the temperature monitoring of the silo in the mixing plant uses a four-way pipe threaded metal probe temperature sensor.

[0063] S2. Data collection and transmission:

[0064] The original signals collected by sensors are usually analog signals, which need to be converted into digital signals by an analog-to-digital converter (ADC) for subsequent processing and transmission. Install data acquisition devices at appropriate locations, connect the sensors to the data acquisition devices, including analog signal lines, digital signal lines, etc., connect the data acquisition devices to the power supply, and ensure stable power supply. Then configure the data acquisition devices, including setting the sampling rate, range, signal type, etc. Temperature data needs to be transmitted to the cloud platform or data center through a communication module. In the transmission link, various communication technologies can be used, including but not limited to: short-distance wireless communication technologies such as Bluetooth, ZigBee, and Wi-Fi; long-distance wireless communication technologies such as cellular networks (2G / 3G / 4G / 5G), LoRaWAN, and NB-IoT; wired communication technologies such as Ethernet. Select the most suitable communication technology according to the actual application scenario and cost-effectiveness. After selecting the appropriate communication technology, install the data transmission device at the selected location, ensure it is firmly fixed, prevent damage caused by environmental factors (such as wind, rain, and vibration), and ensure that the protection level of the device meets the requirements of the on-site environment, with waterproof, dustproof, and resistance to temperature changes. Secondly, provide a stable power supply for the data transmission device, which may include direct power connection, using a UPS (uninterruptible power supply) or a solar panel, etc. Then, make a wired or wireless network connection according to the device type and network architecture. Finally, access the management interface of the device and perform initial configuration, including network settings, device address, routing, etc.

[0065] S3. Data Storage and Analysis:

[0066] After the data is transmitted to the cloud platform or data center, use mongodb or time series databases, etc. to store the temperature data.

[0067] Concrete is generally composed of stones, sand, cement, fly ash, water, and admixtures. The content of admixtures in single-component concrete is very small, and its influence on the mixing temperature of concrete can be ignored. When the temperature of the concrete mixture leaving the mixer is, the calculation formula for the mixing temperature of concrete in summer is:

[0068] C g ΔT g m g +C s ΔT s m s +C c ΔT c m c +C f ΔT f m f +

[0069] C w ΔT g w g +C wΔT s w s +C w ΔT w m w +C iw ΔT cw m cw +

[0070] C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0,

[0071] where: c g 、c s 、c c 、c f 、c w 、c iw 、c i represent the specific heat capacities of stones, sand, cement, fly ash, water, cold water and ice; ΔT g 、ΔT s 、ΔT c 、ΔT f 、ΔT w 、ΔT cw 、ΔT i represent the differences between the temperatures of stones, sand, cement, fly ash, water, cold water and ice and the outlet temperature; ΔT i1 、ΔT i2 represent the difference between the temperature of ice and zero degree and the difference between zero degree and the outlet temperature; m g 、m s 、m c 、m f represent the masses of stones, sand, cement and fly ash after deducting the water content; w g 、w s represent the masses of free water in stones and free water in sand; m w 、m cw 、m i represent the masses of water, cold water and ice; Q i represents the heat of fusion per unit mass of ice.

[0072] The mathematical model with the minimum cost as the objective function described in step S200 is:

[0073] min λ w m w +λ cw m cw +λ i mi

[0074] C g ΔT g m g +C s ΔT s m s +C c ΔT c m c +c f ΔT f m f +

[0075] s.t.C w ΔT g w g +C w ΔT s w s +C w ΔT w m w +C iw ΔT cw m cw +

[0076] C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0

[0077] m w +w g +w s +m cw +m i -W w =0

[0078] m w ,m cw ,m i ≥0 ,

[0079] In the formula, W w represents the total mass of water in the concrete mix ratio; λw, λcw and λi represent the unit costs of normal temperature water, cold water and ice, respectively.

[0080] As shown in Table 1, the specific heat capacities of gravel, sand, cement, fly ash, water, cold water and ice can be obtained according to the specifications, the content of each substance per cubic meter of concrete can be obtained from the mix ratio, and the temperature differences of each material are determined by the material temperatures monitored by the Internet of Things:

[0081] Table 1 Concrete reference mix ratio

[0082]

[0083] Based on the collected temperature data, the intelligent temperature control module of the cloud platform will call a specific algorithm to calculate the optimal ratios of normal temperature water, cold water, and ice. The target optimization algorithm may be based on multiple factors such as temperature and cost optimization to achieve the best temperature control effect.

[0084] S4. Intelligent control:

[0085] Use the mix ratio management function to record and store the mix ratio data of different materials, including the ratios of components such as cement, sand, aggregates, and water. These data can be adjusted and modified according to specific engineering requirements.

[0086] Use the calculation parameter management function to manage the reference calculation parameters, such as cold water temperature, ice temperature, and discharge temperature, etc. These parameters are the basis for performing calculations.

[0087] Use the verification function to verify the mix ratio data and reference calculation parameters to ensure that they meet the relevant standards and specifications. This helps to improve the reliability of construction quality and material performance.

[0088] Before each batching, the cloud application system automatically calculates the amounts of normal temperature water, cold water, and ice required for each batch of concrete based on the monitoring data, and sends the data to the automated control system to automatically control the addition amounts of warm water, cold water, and ice. The overall structural schematic diagram of the intelligent temperature control system is as Figure 2 shown.

[0089] Feedback and optimization:

[0090] The intelligent temperature control module continuously monitors the change in the discharge temperature of the concrete mixture, and the user monitors the temperature control effect and adjusts the calculation parameters in a timely manner according to the actual situation.

[0091] As Figure 3 shown, the embodiment of the present invention also provides a concrete mixing temperature control system based on the Internet of Things technology for implementing any step in the above-mentioned concrete mixing temperature control method based on the Internet of Things technology, including:

[0092] Temperature acquisition module: Used to real-time monitor the temperature of the concrete and its constituent materials during the concrete mixing process using sensors such as infrared temperature measurement and four-way pipe thread probes, and transmit the data to the data storage and analysis module;

[0093] Data storage and analysis module: Use a database to store the temperature data, and calculate the optimal ratios of normal temperature water, cold water, and ice through a specific algorithm, and transmit the information to the intelligent control module;

[0094] Intelligent control module: Automatically control the feeding process according to the information transmitted by the data storage and analysis module.

[0095] An embodiment of the present invention also provides an electronic device, including:

[0096] At least one processor, at least one memory, and a communication interface; wherein,

[0097] The memory stores program instructions executable by the processor, and when the processor calls the program instructions and executes the computer program, the control method is implemented.

[0098] An embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the control method is implemented.

[0099] Furthermore, based on the existing temperature monitoring, the present invention can also add humidity sensors, pressure sensors, fluidity sensors, etc. to obtain more comprehensive concrete performance data, use data acquisition devices to collect these parameters in real time, and transmit them to the cloud platform through Internet of Things technology. The cloud platform comprehensively analyzes these multi-parameter data, evaluates the quality of the concrete, and performs more refined control on it.

[0100] Furthermore, the present invention can also add an intelligent warning system. When the concrete temperature or other performance indicators exceed the preset range, the system can automatically issue a warning to remind the construction personnel to take corresponding measures.

[0101] This helps to avoid the occurrence of quality problems and ensure construction safety.

[0102] It should be understood that although the steps in the flowchart of the accompanying drawings are shown in sequence according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise clearly stated in this article, the execution of these steps has no strict order limit, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed alternately or alternately with at least a part of other steps or sub-steps or stages of other steps.

[0103] The above are only some embodiments of the present application. It should be noted that for those of ordinary skill in the art, without departing from the principle of the present application, several improvements and refinements can be made, and these improvements and refinements should also be regarded as the protection scope of the present application.

Claims

1. A concrete mixing temperature control method based on Internet of Things technology, characterized in that, Including: S100. Real-time collect the temperature data of the mixture at different stages; S200. Establish a calculation model for the discharge temperature of the concrete mixture based on the theory of heat release and absorption of the concrete mixture, and on this basis, construct a mathematical model with the optimal cost as the objective function, and use the SLSQP algorithm for target optimization design; S300. Develop an intelligent temperature control system based on the collected temperature data and a preset control algorithm. The intelligent temperature control system can calculate the optimal proportions of normal temperature water, cold water and ice based on the provided data, and send the calculated optimal proportions to the control system of the feeding amount to realize the automatic control of the feeding process; S400. Continuously monitor the change of the discharge temperature of the concrete mixture, and adjust the calculation parameters according to the actual situation to optimize the control effect.

2. The concrete mixing temperature control method based on Internet of Things technology according to claim 1, characterized in that The calculation model for the discharge temperature of the concrete mixture described in step S200 is: C g ΔT g m g +C s ΔT s m s +C c ΔT c m c +C f ΔT f m f +C w ΔT g w g +C w ΔT s w s +C w ΔT w m w +C iw ΔT cw m cw +C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0, where: c g 、c s 、c c 、c f 、c w 、c iw 、c i represent the specific heat capacities of stone, sand, cement, fly ash, water, cold water and ice; ΔT g 、ΔT s 、ΔT c 、ΔT f 、ΔT w 、ΔT cw 、ΔT i represent the differences between the temperatures of stone, sand, cement, fly ash, water, cold water and ice and the outlet temperature; ΔT i1 、ΔT i2 represent the difference between the temperature of ice and zero degree and the difference between zero degree and the outlet temperature; m g 、m s 、m c 、m f represent the masses of stone with moisture content deducted, sand with moisture content deducted, cement and fly ash; w g 、w s represent the masses of free water in stone and free water in sand; m w 、m cw 、m i represent the masses of water, cold water and ice; Q i represents the heat of solution per unit mass of ice.

3. The concrete mixing temperature control method based on Internet of Things technology according to claim 2, characterized in that, The mathematical model with the optimal cost as the objective function described in step S200 is: min λ w m w +λ cw m cw +λ i m i C g ΔT g m g +C s ΔT s m s +C c ΔT c m c +C f ΔT f m f + s.t.C w ΔT g w g +C w ΔT s w s +C w ΔT w m w +C iw ΔT cw m cw +C i ΔT i1 m i +C w ΔT i2 m i +Q i m i =0 m w +w g +w s +m cw +m i -W w =0 m w ,m cw ,m i ≥0, Where, W w represents the total mass of water in the concrete mix; λw, λcw and λi represent the unit costs of normal temperature water, cold water and ice, respectively.

4. A concrete mixing temperature control method based on Internet of Things technology according to any one of claims 1-3, characterized in that, The step S400 includes: Use the mix ratio management function to record and store the mix ratio data of different materials, including the proportions of cement, sand, aggregate, and water, and adjust and modify according to specific engineering requirements.

5. A concrete mixing temperature control method based on Internet of Things technology according to any one of claims 1-3, characterized in that, The step S400 includes: Use the calculation parameter management function to manage the reference calculation parameters, including the cold water temperature, the ice temperature, and the discharge temperature.

6. A concrete mixing temperature control method based on Internet of Things technology according to any one of claims 1-3, characterized in that, The step S400 includes: Use the verification function to verify the mix ratio data and the reference calculation parameters to ensure that they meet the relevant standards and specifications, and improve the reliability of the construction quality and material performance.

7. A concrete mixing temperature control system based on Internet of Things technology, which is used to implement any step in the concrete mixing temperature control method based on Internet of Things technology according to any one of claims 1-6, characterized in that, Including: Temperature acquisition module: Used to use sensors to continuously monitor the temperature of the concrete and its constituent materials during the concrete mixing process, and transmit the data to the data storage and analysis module; Data storage and analysis module: Use a database to store the temperature data, and calculate the optimal proportions of normal temperature water, cold water and ice through a specific algorithm, and transmit the information to the intelligent control module; Intelligent control module: Realize the automatic control of the feeding process according to the information transmitted by the data storage and analysis module.

8. An electronic device, characterized in that, Including: At least one processor, at least one memory and a communication interface; wherein, The processor, the memory and the communication interface communicate with each other; The memory stores program instructions executable by the processor, and the processor calls the program instructions to execute the method described in any one of claims 1 to 7.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, and the computer instructions cause the computer to execute the method described in any one of claims 1 to 6.

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