Concrete whole-process temperature control method and system based on Internet of Things

Abstract

The invention discloses a concrete whole-process temperature control method and system based on the Internet of Things. The method comprises the following steps: dividing a concrete whole process to obtain a concrete whole-process division result; according to the sensitivity of the to-be-tested concrete material in different processes and the scale and placement condition of the to-be-tested concrete material, the importance degree of the to-be-tested concrete material on the influence of the environment on the to-be-tested concrete material is judged, and the self-influence coefficient AWE of the material is obtained; detecting the temperature of the to-be-detected concrete material in different processes to obtain a real-time concrete material temperature value W, and detecting the temperature of the external environment of the to-be-detected concrete material in different processes to obtain a real-time concrete material environment temperature; based on the real-time concrete material temperature value W and the real-time concrete material environment temperature value, the temperature influence of the surrounding environment of the to-be-tested concrete material on the to-be-tested concrete material is judged, and the environment temperature influence coefficient BTH is obtained. The method has the effect of improving the whole-process temperature control accuracy of the concrete.

Description

Technical Field

[0001] The present application relates to the technical field of Internet of Things, and in particular to a method and system for controlling the temperature of concrete throughout the entire process based on the Internet of Things. Background Art

[0002] At present, with the acceleration of infrastructure construction and the development of urban construction in my country and around the world, concrete is widely used in all aspects of human daily life, such as building construction, bridge engineering, water conservancy engineering, etc. Concrete is a commonly used material in construction and infrastructure construction, and its quality has an important impact on the safety and durability of the project. Concrete temperature control is a measure taken during the concrete construction process to prevent concrete cracks due to temperature reasons. Concrete temperature control must be strictly implemented during concrete construction to ensure the safety and normal use of the building structure. Therefore, it is very important to control the temperature of the entire concrete process.

[0003] The existing method for controlling the temperature of concrete throughout the entire process based on the Internet of Things refers to detecting the temperature of concrete materials through temperature sensors. If the temperature of concrete materials exceeds the preset standard concrete material temperature, cooling measures such as water spraying, using condensing agents, covering sunshade nets, or heating measures such as air conditioning hot air heating and covering insulation films are adopted to achieve temperature control of concrete materials. However, the existing method for controlling the temperature of concrete throughout the entire process based on the Internet of Things does not take into account the influence of interference factors in the environment in which concrete materials are located on the temperature regulation of concrete materials, and the accuracy of concrete temperature control is low, and there is room for improvement. Summary of the invention

[0004] In order to improve the accuracy of temperature control of the entire concrete process, the present application provides a method and system for temperature control of the entire concrete process based on the Internet of Things.

[0005] In the first aspect, the present application provides a method for controlling the temperature of concrete throughout the entire process based on the Internet of Things, which adopts the following technical solutions:

[0006] A method for controlling the temperature of concrete during the whole process based on the Internet of Things comprises the following steps:

[0007] The whole concrete process is divided to obtain the whole concrete process division result;

[0008] Based on the results of the whole concrete process division, the importance of the concrete material itself to the environmental impact of the concrete material is determined according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material and the placement of the concrete material, and the material self-influence coefficient AWE is obtained;

[0009] Based on the result of the whole concrete process division, the temperature of the concrete material to be tested in different processes is detected in real time to obtain the real-time concrete material temperature value W, the temperature of the external environment of the concrete material to be tested in different processes is detected in real time to obtain the real-time concrete material ambient temperature, and based on the real-time concrete material temperature value W and the real-time concrete material ambient temperature value, the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested is judged to obtain the ambient temperature influence coefficient BTH;

[0010] According to the result of the whole process division of concrete, it is judged whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes. If there are environmental factors, they are marked as environmental interference factors. The influence of environmental interference factors on the temperature of the concrete material to be tested is detected to obtain the environmental interference coefficient CPG;

[0011] Based on the results of the whole process division of concrete, it is judged whether the concrete material to be tested will generate heat in the process operation of different processes. If heat is generated, the heat generated by the concrete to be tested in different processes is judged based on the composition ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH;

[0012] The concrete material temperature influence coefficient ORT is obtained according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the ambient interference coefficient CPG and the material heat generation influence coefficient DSH. The temperature of the concrete material to be measured is predicted in real time according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W';

[0013] According to the predicted concrete material temperature value W', it is determined whether the temperature of the concrete material to be tested needs to be regulated. If regulation is required, the temperature of the concrete material to be tested is regulated based on the result of the whole concrete process division until it meets the standard.

[0014] Preferably, the whole concrete process is divided based on the process flow of concrete to obtain the whole concrete process division result;

[0015] The whole concrete process division result includes raw material process, proportion preparation process, mixing process, transportation process and curing process.

[0016] Preferably, a temperature sensitivity performance table of concrete materials is obtained, wherein the temperature sensitivity performance table of concrete materials includes the temperature sensitivity of concrete materials composed of a single type of concrete raw material and the temperature sensitivity of concrete materials composed of concrete raw materials of different proportions;

[0017] According to the result of the whole process division of concrete, the concrete materials to be tested in different processes are matched with the concrete material temperature sensitivity performance table, the sensitivity of the concrete materials to be tested to temperature is obtained to obtain the material temperature sensitivity degree, and the material temperature sensitivity influence coefficient AM of the concrete materials to be tested is obtained based on the material temperature sensitivity degree;

[0018] According to the scale of the concrete material to be tested, the concrete material scale influence coefficient AG is obtained;

[0019] According to the result of the whole concrete process division, the placement of the concrete material to be tested in different processes is detected to obtain the concrete material placement type information;

[0020] Determine the degree of polymerization of the concrete material to be tested based on the concrete material placement type information, and obtain the concrete material placement influence coefficient AF according to the degree of polymerization of the concrete material to be tested;

[0021] According to the material temperature sensitivity influence coefficient AM, the concrete material scale influence coefficient AG and the concrete material placement influence coefficient AF, based on the material's own relationship function The material self-influence coefficient AWE is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0.

[0022] Preferably, based on the result of the division of the entire concrete process, the airtightness of the environment in which the concrete material to be tested is located in different processes is detected to obtain the airtightness of the concrete material environment;

[0023] Determine the environmental airtightness impact weight ratio q according to the environmental airtightness of the concrete material, wherein the higher the environmental airtightness of the concrete material, the smaller the environmental airtightness impact weight ratio q;

[0024] Based on the result of the whole process division of concrete, a first temperature sensor is obtained and a signal connection link is established between the first temperature sensor and the concrete material to be tested, and the temperature of the concrete material to be tested in different processes is detected in real time by the first temperature sensor to obtain a real-time concrete material temperature value W;

[0025] Based on the result of the whole process division of concrete, a second temperature sensor is obtained and a signal connection link is established between the second temperature sensor and the concrete material to be tested, and the second temperature sensor is used to detect the temperature of the surrounding environment of the concrete material to be tested in different processes in real time to obtain a real-time concrete material environment temperature value;

[0026] Calculate the difference between the real-time concrete material temperature value W and the real-time concrete material environment temperature value to obtain a real-time temperature difference value BV;

[0027] According to the environmental airtightness influence weight ratio q and the real-time temperature difference BV, the environmental temperature influence coefficient BTH is calculated based on the environmental temperature relationship function BTH=b×q×BV, where b is a proportional factor and is greater than 0.

[0028] Preferably, based on the result of the whole process division of concrete, the state of the concrete material to be tested is detected in real time to obtain material state information; the material state information includes plastic flow state, gel state and solid state;

[0029] According to the results of the whole concrete process division, it is determined whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes. If there are environmental factors, they are marked as environmental interference factors.

[0030] Detecting interference parameters of environmental interference factors to obtain environmental interference parameter information;

[0031] The number of environmental interference factors is detected to obtain the number information of the interference factors. According to the number information of the interference factors, the information of each environmental interference parameter is marked as m1, m2, etc., to obtain the environmental interference factor data set;

[0032] According to the material state information and the environmental interference factor, the influence ratio of the material state of the concrete material to the environmental interference temperature of the concrete to be tested is determined to obtain the material state influence weight ratio p;

[0033] According to the environmental interference factor data set, the material state influence weight ratio p and the environmental airtightness influence weight ratio q, the environmental interference coefficient CPG is calculated based on the environmental interference relationship function CPG=q×p×(c1×m1+c2×m2+…), where c1 and c2 are proportional factors and are both greater than 0.

[0034] Preferably, based on the result of the whole process division of concrete, it is determined whether the concrete material to be tested will generate heat in the process operation of different processes, and if no heat is generated, the heat generation value of the output material is 0;

[0035] If heat is generated, basic parameter information of the concrete material to be tested is obtained, wherein the basic parameter information of the concrete material to be tested includes concrete composition information and concrete fineness information;

[0036] Based on the concrete component information, determine the influence of the component of the concrete material to be tested on the heat generation of the concrete material to be tested to obtain the heat generation influence coefficient DP of the material component;

[0037] Based on the concrete fineness information, determine the influence of the fineness of the concrete material to be tested on the heat generation of the concrete material to be tested, and obtain the heat generation influence coefficient DX of the material fineness;

[0038] Based on the results of the whole concrete process division, it is determined whether the process operation of the concrete material to be tested generates additional heat for the concrete material to be tested. If additional heat is generated, the process operation related parameters are detected, and the process operation heat generation influence coefficient DC is determined according to the process operation related parameters;

[0039] According to the material composition heat influence coefficient DP, the material fineness heat influence coefficient DX and the process operation heat influence coefficient DC, the material heat influence coefficient DSH is calculated based on DSH=d1×DP+d2×DX+d3×DC, where d1, d2 and d3 are proportional factors and are all greater than 0.

[0040] Preferably, the concrete material temperature influence coefficient ORT is calculated based on the first relationship function ORT=ω1×AWE+ω2×BTH+ω3×CPG+ω4×DSH according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, wherein ω1, ω2, ω3 and ω4 are proportional factors and are all greater than 0;

[0041] According to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W, calculation is performed based on the second relationship function W'=W+ξ×ORT, and the temperature of the concrete material to be measured is predicted in real time to obtain the predicted concrete material temperature value W'.

[0042] Preferably, according to the result of the division of the whole process of concrete, the standard temperature range of different processes of the concrete material to be tested is obtained;

[0043] Matching the predicted concrete material temperature value W' with the standard temperature range of the process in which the concrete material to be tested is located, and judging whether the predicted concrete material temperature value W' of the concrete material to be tested is within the standard temperature range of the process in which the concrete material to be tested is located. If it is within the standard temperature range of the process in which the concrete material to be tested is located, there is no need to adjust the temperature of the concrete material to be tested;

[0044] If the predicted concrete material temperature value W' of the concrete material to be tested is not within the standard temperature range of the process in which the concrete material to be tested is located, then according to the result of the concrete whole process division, the temperature control method of the process in which the concrete material to be tested is obtained to obtain the temperature control method information;

[0045] The center temperature value is obtained by selecting the middle value of the standard temperature range of the process in which the concrete material to be tested is located;

[0046] Calculate the difference between the predicted concrete material temperature value W' and the center temperature value of the concrete material to be tested to obtain a target temperature difference;

[0047] The temperature of the concrete material to be tested is controlled based on the temperature control method information and the target temperature difference until the real-time concrete material temperature value W is within the standard temperature range of the process of the concrete material to be tested, the temperature control operation is stopped, and the temperature control completion result is output.

[0048] In the second aspect, the present application provides a whole-process concrete temperature control system based on the Internet of Things, which adopts the following technical solutions:

[0049] A concrete whole process temperature control system based on the Internet of Things, comprising:

[0050] A process division module is configured to divide the entire concrete process to obtain a result of the division of the entire concrete process;

[0051] The material self-influence analysis module is configured to obtain the material self-influence coefficient AWE based on the result of the whole concrete process division, and to judge the importance of the concrete material itself to the environmental impact of the concrete material according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material and the placement of the concrete material;

[0052] The environmental temperature impact analysis module is configured to detect the temperature of the concrete material to be tested in different processes in real time based on the result of the division of the entire concrete process to obtain a real-time concrete material temperature value W, detect the temperature of the external environment of the concrete material to be tested in different processes in real time to obtain the real-time concrete material environmental temperature, and determine the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested based on the real-time concrete material temperature value W and the real-time concrete material environmental temperature value to obtain the environmental temperature influence coefficient BTH;

[0053] The environmental interference factor analysis module is configured to determine whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes according to the result of the whole concrete process division, and if there are environmental factors, mark them as environmental interference factors, and detect the influence of environmental interference factors on the temperature of the concrete material to be tested to obtain the environmental interference coefficient CPG;

[0054] The material heat generation analysis module is configured to determine whether the concrete material to be tested will generate heat in the process operation of different processes based on the result of the whole process division of concrete. If heat is generated, the heat generated by the concrete to be tested in different processes is determined based on the composition ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH;

[0055] The temperature prediction module is configured to obtain the concrete material temperature influence coefficient ORT according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, and to perform real-time prediction of the temperature of the concrete material to be measured according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W';

[0056] The temperature control module is configured to determine whether the temperature of the concrete material to be tested needs to be controlled according to the predicted concrete material temperature value W'. If control is required, the temperature of the concrete material to be tested is controlled based on the concrete whole process division result until it meets the standard.

[0057] In summary, the present application includes at least one of the following beneficial technical effects:

[0058] The whole process of concrete is divided to obtain the result of the whole process division of concrete, and the importance of the concrete material itself to the environmental influence of different processes of the concrete material to be tested is judged to obtain the material self-influence coefficient AWE. According to the real-time concrete material temperature value W and the real-time concrete material ambient temperature, the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested is judged to obtain the ambient temperature influence coefficient BTH. According to the environmental interference factors of the environment in which the concrete material to be tested is located in different processes, the environmental interference coefficient CPG is obtained to judge whether the concrete material to be tested will generate heat in the process operation of different processes. If it is generated, the heat generated by the concrete to be tested in different processes is judged to obtain the material production The thermal influence coefficient DSH obtains the temperature influence coefficient ORT of the concrete material according to the material's own influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, thereby improving the detection accuracy of the temperature influence coefficient ORT of the concrete material. The predicted temperature value W' of the concrete material is obtained according to the temperature influence coefficient ORT of the concrete material and the real-time temperature value W of the concrete material, thereby improving the detection accuracy of the predicted temperature value W' of the concrete material. Whether temperature control is needed is determined according to the predicted temperature value W' of the concrete material. If necessary, the temperature of the concrete material to be tested is controlled based on the result of the whole process division of the concrete until it meets the standard, thereby improving the accuracy of temperature control of the whole process of concrete. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] Figure 1 This is a flow chart of a method for controlling temperature of the entire concrete process based on the Internet of Things, which is mainly embodied in this embodiment;

[0060] Figure 2 This is a module schematic diagram of a whole-process concrete temperature control system based on the Internet of Things, which is mainly embodied in this embodiment.

[0061] Figure numerals: 1. Process division module; 2. Material self-influence analysis module; 3. Environmental temperature influence analysis module; 4. Environmental interference factor analysis module; 5. Material heat generation analysis module; 6. Temperature prediction module; 7. Temperature control module. DETAILED DESCRIPTION

[0062] The present application is further described in detail below in conjunction with the accompanying drawings.

[0063] The embodiment of the present application discloses a method for controlling the temperature of concrete throughout the entire process based on the Internet of Things.

[0064] A method for controlling the temperature of concrete during the whole process based on the Internet of Things comprises the following steps:

[0065] Reference Figure 1 Step S1, dividing the whole concrete process to obtain the whole concrete process division result. Step S1 specifically includes the following sub-steps:

[0066] Step S11, dividing the whole concrete process based on the concrete process flow to obtain a whole concrete process division result.

[0067] Step S12, the whole concrete process is divided into raw material process, proportion preparation process, mixing process, transportation process and curing process.

[0068] Reference Figure 1 , step S2, based on the result of the whole concrete process division, according to the sensitivity of the concrete material to be tested in different processes, the scale of the concrete material to be tested and the placement situation, the importance of the concrete material to be tested itself to the environmental impact of the concrete material to be tested is determined to obtain the material self-influence coefficient AWE. Step S2 specifically includes the following sub-steps:

[0069] Step S21, obtaining a temperature sensitivity performance table of concrete materials, wherein the temperature sensitivity performance table of concrete materials includes the temperature sensitivity of concrete materials composed of a single type of concrete raw material and the temperature sensitivity of concrete materials composed of concrete raw materials of different proportions.

[0070] Step S22, according to the result of the division of the whole concrete process, the concrete materials to be tested in different processes are matched with the concrete material temperature sensitivity performance table, the sensitivity of the concrete material to be tested itself to temperature is obtained to obtain the material temperature sensitivity, and the material temperature sensitivity influence coefficient AM of the concrete material to be tested is obtained based on the material temperature sensitivity. The higher the material temperature sensitivity, the greater the material temperature sensitivity coefficient AM of the concrete material to be tested.

[0071] Now, let's take an example to illustrate that if the concrete material to be tested is in the raw material process, each single type of concrete material is matched with the concrete material temperature sensitivity performance table to obtain the material temperature sensitivity influence coefficient AM of each single type of concrete material to be tested. If the concrete material to be tested is in the transportation process, the concrete material to be tested composed of different proportions is matched with the concrete material temperature sensitivity performance table to obtain the material temperature sensitivity influence coefficient AM of each single type of concrete material to be tested.

[0072] Step S23, obtaining the concrete material scale influence coefficient AG according to the scale of the concrete material to be tested, wherein the larger the scale of the concrete material to be tested is, the larger the concrete material scale influence coefficient AG is.

[0073] Step S24, based on the result of the whole concrete process division, the placement of the concrete material to be tested in different processes is detected to obtain the concrete material placement type information. For example, the concrete material placement type information includes the concrete material flat placement type, the concrete material stacking type, the concrete material container placement type, etc.

[0074] Step S25, judging the polymerization degree of the concrete material to be tested based on the concrete material placement type information, and obtaining the concrete material placement influence coefficient AF according to the polymerization degree of the concrete material to be tested. The higher the polymerization degree of the concrete material to be tested, the greater the concrete material placement influence coefficient AF.

[0075] Step S26, based on the material temperature sensitivity influence coefficient AM, the concrete material scale influence coefficient AG and the concrete material placement influence coefficient AF, based on the material itself relationship function The material self-influence coefficient AWE is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0.

[0076] Reference Figure 1 , step S3, based on the result of the whole concrete process division, real-time detection of the temperature of the concrete material to be tested in different processes to obtain the real-time concrete material temperature value W, real-time detection of the temperature of the external environment of the concrete material to be tested in different processes to obtain the real-time concrete material environmental temperature, based on the real-time concrete material temperature value W and the real-time concrete material environmental temperature value, the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested is judged to obtain the environmental temperature influence coefficient BTH. Step S3 specifically includes the following sub-steps:

[0077] Step S31, based on the result of the whole concrete process division, the airtightness of the environment of the concrete material to be tested in different processes is detected to obtain the airtightness of the concrete material environment.

[0078] Step S32, determining the environmental airtightness impact weight ratio q according to the environmental airtightness of the concrete material, wherein the higher the environmental airtightness of the concrete material, the smaller the environmental airtightness impact weight ratio q.

[0079] Step S33, based on the result of the whole concrete process division, obtain the first temperature sensor and establish a signal connection link between the first temperature sensor and the concrete material to be measured, and obtain the real-time concrete material temperature value W by detecting the temperature of the concrete material to be measured in different processes in real time based on the first temperature sensor.

[0080] Step S34, based on the result of the whole concrete process division, obtain the second temperature sensor and establish a signal connection link between the second temperature sensor and the concrete material to be tested, and detect the temperature of the surrounding environment of the concrete material to be tested in different processes in real time based on the second temperature sensor to obtain the real-time concrete material environment temperature value.

[0081] Step S35, calculating the difference between the real-time concrete material temperature value W and the real-time concrete material environment temperature value to obtain a real-time temperature difference value BV.

[0082] Step S36, according to the environmental airtightness influence weight ratio q and the real-time temperature difference BV, the environmental temperature influence coefficient BTH is calculated based on the environmental temperature relationship function BTH=b×q×BV, wherein b is a proportional factor and is greater than 0.

[0083] Reference Figure 1 Step S4, based on the result of the concrete whole process division, it is determined whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes. If there are environmental factors, they are marked as environmental interference factors. The influence of environmental interference factors on the temperature of the concrete material to be tested is detected to obtain the environmental interference coefficient CPG. Step S4 specifically includes the following sub-steps:

[0084] Step S41, based on the result of the whole concrete process division, the state of the concrete material to be tested is detected in real time to obtain material state information. The material state information includes plastic flow state, gel state and solid state.

[0085] Step S42, based on the result of the whole concrete process division, it is determined whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes of the concrete material to be tested, and if so, it is marked as an environmental interference factor.

[0086] An example is now given to illustrate: when the concrete material to be tested is in the raw material process, the concrete material to be tested includes mixing water, aggregate, and powder. Among them, the environmental factor that interferes with the temperature of the mixing water, that is, the environmental interference factor, is wind force. When the concrete material to be tested is in the mixing process, the environmental interference factors are wind force and humidity.

[0087] Step S43: detecting interference parameters of environmental interference factors to obtain environmental interference parameter information.

[0088] For example, if the environmental interference factor is wind force, the wind force around the concrete material to be tested is detected to obtain the environmental wind force value, wherein the environmental wind force value is the environmental interference parameter information. If the environmental interference factor is humidity, the humidity around the concrete material to be tested is detected to obtain the environmental humidity value, wherein the environmental humidity value is the environmental interference parameter information.

[0089] Step S44, detecting the number of environmental interference factors to obtain interference factor quantity information, and marking each environmental interference parameter information as m1, m2, ... according to the interference factor quantity information, to obtain an environmental interference factor data set.

[0090] Step S45, judging the influence ratio of the material state of the concrete material to the environmental interference on the temperature of the concrete material to be tested according to the material state information and the environmental interference factor, and obtaining the material state influence weight ratio p.

[0091] An example is given to illustrate: if the environmental interference factor is wind force, then when the material state information is in a plastic flow state, it is more easily affected by wind force, thereby interfering with the temperature of the concrete material to be tested; when the material state information is in a gelled state, it is affected by wind force, thereby interfering with the temperature of the concrete material to be tested to the second greatest extent; when the material state information is in a solid state, it is affected by wind force, thereby interfering with the temperature of the concrete material to be tested to the least extent; then, when the material state information is in a plastic flow state, the material state influence weight ratio p is the largest; when the material state information is in a gelled state, the material state influence weight ratio p is the second largest; and when the material state information is in a solid state, the material state influence weight ratio p is the smallest.

[0092] Step S46, according to the environmental interference factor data set, the material state influence weight ratio p and the environmental airtightness influence weight ratio q, the environmental interference coefficient CPG is calculated based on the environmental interference relationship function CPG=q×p×(c1×m1+c2×m2+…), where c1 and c2 are proportional factors and are both greater than 0.

[0093] Reference Figure 1 , step S5, based on the result of the whole process division of concrete, determine whether the concrete material to be tested will generate heat in the process operation of different processes, if heat is generated, based on the composition ratio and process operation of the concrete material to be tested, determine the heat generated by the concrete to be tested in different processes to obtain the material heat generation influence coefficient DSH. Step S5 specifically includes the following sub-steps:

[0094] Step S51, based on the result of the whole concrete process division, determine whether the concrete material to be tested will generate heat during the process operation of different processes, and if no heat is generated, output the material heat generation value as 0.

[0095] Among them, the mixing process, transportation process and pouring process in the whole process division result of concrete involve the hydration reaction of cement and will generate heat. The raw material process and proportion preparation process in the whole process division result of concrete do not involve the hydration reaction of cement and will not generate heat.

[0096] Step S52: if heat is generated, basic parameter information of the concrete material to be tested is obtained, and the basic parameter information of the concrete material to be tested includes concrete composition information and concrete fineness information.

[0097] Step S53: determining the influence of the composition of the concrete material to be tested on the heat generation of the concrete material to be tested based on the concrete composition information to obtain the material composition heat generation influence coefficient DP.

[0098] Here is an example to illustrate: C3A (tricalcium aluminate) has a fast hydration rate and produces a large amount of heat, so the material composition heat generation influence coefficient DP is large. However, C2S (dicalcium silicate) has a slow hydration rate and produces a small amount of heat, so the material composition heat generation influence coefficient DP is small.

[0099] Step S54: based on the concrete fineness information, determine the influence of the fineness of the concrete material to be tested on the heat generation of the concrete material to be tested to obtain the heat generation influence coefficient DX of the material fineness.

[0100] Let's take an example to illustrate: the finer the concrete material is ground, the larger its specific surface area, the faster it reacts with water, and thus the faster the hydration reaction is, and the more heat is generated.

[0101] Step S55, based on the result of the whole concrete process division, determine whether the process operation of the concrete material to be tested generates additional heat for the concrete material to be tested, if additional heat is generated, detect the process operation related parameters, and determine the process operation heat generation influence coefficient DC according to the process operation related parameters.

[0102] Let's take an example to illustrate: when the concrete material to be tested is in the mixing process, the mixing of the concrete material to be tested will generate heat, and the process operation related parameter is the mixing speed. The mixing speed of the concrete material to be tested is detected to obtain the mixing speed value, wherein the larger the mixing speed value is, the larger the process operation heat generation influence coefficient DC is. When the concrete material to be tested is in the transportation process, the vibration of the transport vehicle to the concrete material to be tested will generate heat, and the process operation related parameter is the vibration intensity. The intensity of the vibration to the concrete material to be tested is detected to obtain the vibration intensity value, wherein the larger the vibration intensity value is, the larger the process operation heat generation influence coefficient DC is. When the concrete material to be tested is in the pouring process, the concrete material to be tested will generate heat when being poured, and the process operation related parameter is the pouring speed. The pouring speed of the concrete material to be tested is detected to obtain the pouring speed value, wherein the larger the pouring speed value is, the larger the process operation heat generation influence coefficient DC is.

[0103] Step S56, according to the material composition heat generation influence coefficient DP, the material fineness heat generation influence coefficient DX and the process operation heat generation influence coefficient DC, the material heat generation influence coefficient DSH is calculated based on DSH=d1×DP+d2×DX+d3×DC, where d1, d2, and d3 are proportional factors and are all greater than 0.

[0104] Reference Figure 1 , step S6, obtain the concrete material temperature influence coefficient ORT according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, and perform real-time prediction of the temperature of the concrete material to be measured according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W'. Step S6 specifically includes the following sub-steps:

[0105] Step S61, according to the material's own influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, based on the first relationship function ORT=ω1×AWE+ω2×BTH+ω3×CPG+ω4×DSH, the concrete material temperature influence coefficient ORT is calculated, wherein ω1, ω2, ω3, and ω4 are proportional factors and are all greater than 0.

[0106] Step S62, according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W, based on the second relationship function W'=W+ξ×ORT, the temperature of the concrete material to be measured is predicted in real time to obtain the predicted concrete material temperature value W'.

[0107] Reference Figure 1Step S7, judging whether it is necessary to regulate the temperature of the concrete material to be measured according to the predicted concrete material temperature value W', if regulation is required, then regulating the temperature of the concrete material to be measured based on the concrete whole process division result until it meets the standard. Step S7 specifically includes the following sub-steps:

[0108] Step S71, according to the result of the whole concrete process division, the standard temperature range of different processes of the concrete material to be tested is obtained.

[0109] Step S72, matching the predicted concrete material temperature value W' with the standard temperature range of the process of the concrete material to be tested, and judging whether the predicted concrete material temperature value W' of the concrete material to be tested is within the standard temperature range of the process of the concrete material to be tested; if it is within the standard temperature range of the process of the concrete material to be tested, there is no need to adjust the temperature of the concrete material to be tested.

[0110] Step S73, if the predicted concrete material temperature value W' of the concrete material to be tested is not within the standard temperature range of the process of the concrete material to be tested, then according to the result of the whole concrete process division, the temperature control mode of the process of the concrete material to be tested is obtained to obtain the temperature control mode information.

[0111] Step S74, selecting the middle value of the standard temperature range of the process in which the concrete material to be tested is located to obtain the central temperature value.

[0112] Step S75, calculating the difference between the predicted concrete material temperature value W' and the center temperature value of the concrete material to be tested to obtain a target temperature difference.

[0113] Step S76, temperature control is performed on the concrete material to be tested based on the temperature control method information and the target temperature difference until the real-time concrete material temperature value W is within the standard temperature range of the process of the concrete material to be tested, the temperature control operation is stopped, and the temperature control completion result is output.

[0114] The embodiment of the present application also discloses a whole-process concrete temperature control system based on the Internet of Things.

[0115] Reference Figure 2 , a concrete whole process temperature control system based on the Internet of Things, including:

[0116] The process division module is configured to divide the entire concrete process to obtain a result of the division of the entire concrete process.

[0117] The material self-influence analysis module is configured to obtain the material self-influence coefficient AWE based on the result of the whole concrete process division, and to judge the importance of the concrete material itself to the environmental impact of the concrete material according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material and the placement of the concrete material.

[0118] The environmental temperature impact analysis module is configured to detect the temperature of the concrete material to be tested in different processes in real time based on the result of the whole concrete process division to obtain the real-time concrete material temperature value W, detect the temperature of the external environment of the concrete material to be tested in different processes in real time to obtain the real-time concrete material environmental temperature, and judge the temperature influence of the surrounding environment of the concrete material to be tested on the concrete material to be tested based on the real-time concrete material temperature value W and the real-time concrete material environmental temperature value to obtain the environmental temperature influence coefficient BTH.

[0119] The environmental interference factor analysis module is configured to determine whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes according to the results of the whole concrete process division. If there are environmental factors, they are marked as environmental interference factors. The influence of environmental interference factors on the temperature of the concrete material to be tested is detected to obtain the environmental interference coefficient CPG.

[0120] The material heat generation analysis module is configured to determine whether the concrete material to be tested will generate heat during the process operations of different processes based on the results of the whole concrete process division. If heat is generated, the heat generated by the concrete to be tested in different processes is determined based on the component ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH.

[0121] The temperature prediction module is configured to obtain the concrete material temperature influence coefficient ORT according to the material's own influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, and to perform real-time prediction of the temperature of the concrete material to be tested according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W'.

[0122] The temperature control module is configured to determine whether the temperature of the concrete material to be tested needs to be controlled according to the predicted concrete material temperature value W'. If control is required, the temperature of the concrete material to be tested is controlled based on the concrete whole process division result until it meets the standard.

[0123] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A method for controlling the temperature of the entire concrete process based on the Internet of Things, characterized in that: The following steps are involved: The whole concrete process is divided to obtain the whole concrete process division result; Based on the results of the whole concrete process division, the importance of the concrete material itself to the environmental impact of the concrete material is determined according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material and the placement of the concrete material, and the material self-influence coefficient AWE is obtained; Based on the result of the whole concrete process division, the temperature of the concrete material to be tested in different processes is detected in real time to obtain the real-time concrete material temperature value W, the temperature of the external environment of the concrete material to be tested in different processes is detected in real time to obtain the real-time concrete material ambient temperature, and based on the real-time concrete material temperature value W and the real-time concrete material ambient temperature value, the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested is judged to obtain the ambient temperature influence coefficient BTH; According to the result of the whole process division of concrete, it is judged whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes. If there are environmental factors, they are marked as environmental interference factors. The influence of environmental interference factors on the temperature of the concrete material to be tested is detected to obtain the environmental interference coefficient CPG; Based on the results of the whole process division of concrete, it is judged whether the concrete material to be tested will generate heat in the process operation of different processes. If heat is generated, the heat generated by the concrete to be tested in different processes is judged based on the composition ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH; The concrete material temperature influence coefficient ORT is obtained according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the ambient interference coefficient CPG and the material heat generation influence coefficient DSH. The temperature of the concrete material to be measured is predicted in real time according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W'; According to the predicted concrete material temperature value W', it is determined whether the temperature of the concrete material to be tested needs to be regulated. If regulation is required, the temperature of the concrete material to be tested is regulated based on the result of the whole concrete process division until it meets the standard.

2. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 1 is characterized in that: The steps of dividing the whole concrete process to obtain the whole concrete process division result specifically include: The whole concrete process is divided based on the concrete process flow to obtain the whole concrete process division result; The whole concrete process division result includes raw material process, proportion preparation process, mixing process, transportation process and curing process.

3. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 2 is characterized in that: Based on the result of the whole concrete process division, the steps of determining the importance of the concrete material itself to the environmental impact of the concrete material to be tested according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material to be tested, and the placement of the concrete material to be tested to obtain the material self-influence coefficient AWE specifically include: Acquire a temperature sensitivity performance table of concrete materials, wherein the temperature sensitivity performance table of concrete materials includes the temperature sensitivity of concrete materials composed of a single type of concrete raw material and the temperature sensitivity of concrete materials composed of concrete raw materials of different proportions; According to the result of the whole process division of concrete, the concrete materials to be tested in different processes are matched with the concrete material temperature sensitivity performance table, the sensitivity of the concrete materials to be tested to temperature is obtained to obtain the material temperature sensitivity, and the material temperature sensitivity influence coefficient AM of the concrete materials to be tested is obtained based on the material temperature sensitivity; According to the scale of the concrete material to be tested, the concrete material scale influence coefficient AG is obtained; According to the result of the whole process division of concrete, the placement of the concrete materials to be tested in different processes is detected to obtain the concrete material placement type information; Determine the degree of polymerization of the concrete material to be tested based on the concrete material placement type information, and obtain the concrete material placement influence coefficient AF according to the degree of polymerization of the concrete material to be tested; According to the material temperature sensitivity influence coefficient AM, the concrete material scale influence coefficient AG and the concrete material placement influence coefficient AF, based on the material's own relationship function The material self-influence coefficient AWE is calculated, where a1, a2, and a3 are proportional factors and are all greater than 0.

4. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 3 is characterized in that: Based on the result of the whole concrete process division, the temperature of the concrete material to be tested in different processes is detected in real time to obtain a real-time concrete material temperature value W, the temperature of the external environment of the concrete material to be tested in different processes is detected in real time to obtain a real-time concrete material ambient temperature, and based on the real-time concrete material temperature value W and the real-time concrete material ambient temperature value, the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested is judged to obtain the ambient temperature influence coefficient BTH, specifically including: Based on the results of the whole concrete process division, the airtightness of the environment of the concrete material to be tested in different processes is detected to obtain the environmental airtightness of the concrete material; Determine the environmental airtightness impact weight ratio q according to the environmental airtightness of the concrete material, wherein the higher the environmental airtightness of the concrete material, the smaller the environmental airtightness impact weight ratio q; Based on the result of the whole process division of concrete, a first temperature sensor is obtained and a signal connection link is established between the first temperature sensor and the concrete material to be tested, and the temperature of the concrete material to be tested in different processes is detected in real time by the first temperature sensor to obtain a real-time concrete material temperature value W; Based on the result of the whole process division of concrete, a second temperature sensor is obtained and a signal connection link is established between the second temperature sensor and the concrete material to be tested, and the temperature of the surrounding environment of the concrete material to be tested in different processes is detected in real time by the second temperature sensor to obtain a real-time concrete material environment temperature value; Calculate the difference between the real-time concrete material temperature value W and the real-time concrete material environment temperature value to obtain a real-time temperature difference value BV; According to the environmental airtightness influence weight ratio q and the real-time temperature difference BV, the environmental temperature influence coefficient BTH is calculated based on the environmental temperature relationship function BTH=b×q×BV, where b is a proportional factor and is greater than 0.

5. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 4 is characterized in that: The steps of determining the environmental interference factor of the concrete material to be tested according to the result of the whole concrete process division and detecting the influence of the environmental interference factor on the temperature of the concrete material to be tested to obtain the environmental interference coefficient CPG specifically include: Based on the result of the whole process division of concrete, the state of the concrete material to be tested is detected in real time to obtain material state information; the material state information includes plastic flow state, gel state and solid state; According to the results of the whole concrete process division, it is determined whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes. If there are environmental factors, they are marked as environmental interference factors. Detecting interference parameters of environmental interference factors to obtain environmental interference parameter information; The number of environmental interference factors is detected to obtain the number information of the interference factors. According to the number information of the interference factors, the information of each environmental interference parameter is marked as m1, m2, etc., to obtain the environmental interference factor data set; According to the material state information and the environmental interference factor, the influence ratio of the material state of the concrete material to the environmental interference temperature of the concrete to be tested is determined to obtain the material state influence weight ratio p; According to the environmental interference factor data set, the material state influence weight ratio p and the environmental airtightness influence weight ratio q, the environmental interference coefficient CPG is calculated based on the environmental interference relationship function CPG=q×p×(c1×m1+c2×m2+…), where c1 and c2 are proportional factors and are both greater than 0.

6. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 5 is characterized in that: Based on the result of the whole process division of concrete, it is judged whether the concrete material to be tested will generate heat in the process operation of different processes. If heat is generated, the heat generated by the concrete to be tested in different processes is judged based on the composition ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH, which specifically includes: Based on the results of the whole concrete process division, it is determined whether the concrete material to be tested will generate heat during the process operation of different processes. If no heat is generated, the heat generation value of the output material is 0; If heat is generated, basic parameter information of the concrete material to be tested is obtained, wherein the basic parameter information of the concrete material to be tested includes concrete composition information and concrete fineness information; Based on the concrete component information, determine the influence of the component of the concrete material to be tested on the heat generation of the concrete material to be tested to obtain the heat generation influence coefficient DP of the material component; Based on the concrete fineness information, determine the influence of the fineness of the concrete material to be tested on the heat generation of the concrete material to be tested, and obtain the heat generation influence coefficient DX of the material fineness; Based on the results of the whole concrete process division, it is determined whether the process operation of the concrete material to be tested generates additional heat for the concrete material to be tested. If additional heat is generated, the process operation related parameters are detected, and the process operation heat generation influence coefficient DC is determined according to the process operation related parameters; According to the material composition heat influence coefficient DP, the material fineness heat influence coefficient DX and the process operation heat influence coefficient DC, the material heat influence coefficient DSH is calculated based on DSH=d1×DP+d2×DX+d3×DC, where d1, d2 and d3 are proportional factors and are all greater than 0.

7. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 6 is characterized in that: The step of obtaining the concrete material temperature influence coefficient ORT according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the ambient interference coefficient CPG and the material heat generation influence coefficient DSH, and predicting the temperature of the concrete material to be measured in real time according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W' specifically includes: According to the material's own influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, the concrete material temperature influence coefficient ORT is calculated based on the first relationship function ORT=ω1×AWE+ω2×BTH+ω3×CPG+ω4×DSH, where ω1, ω2, ω3 and ω4 are proportional factors and are all greater than 0; According to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W, calculation is performed based on the second relationship function W'=W+ξ×ORT, and the temperature of the concrete material to be measured is predicted in real time to obtain the predicted concrete material temperature value W'.

8. The method for controlling the temperature of the entire concrete process based on the Internet of Things according to claim 7 is characterized in that: The steps of judging whether the temperature of the concrete material to be tested needs to be regulated according to the predicted concrete material temperature value W', and if regulation is required, regulating the temperature of the concrete material to be tested until it meets the standard based on the concrete whole process division result, specifically include: According to the results of the whole process division of concrete, the standard temperature range of different processes of the concrete material to be tested is obtained; Matching the predicted concrete material temperature value W' with the standard temperature range of the process in which the concrete material to be tested is located, and judging whether the predicted concrete material temperature value W' of the concrete material to be tested is within the standard temperature range of the process in which the concrete material to be tested is located. If it is within the standard temperature range of the process in which the concrete material to be tested is located, there is no need to adjust the temperature of the concrete material to be tested; If the predicted concrete material temperature value W' of the concrete material to be tested is not within the standard temperature range of the process in which the concrete material to be tested is located, then according to the result of the concrete whole process division, the temperature control method of the process in which the concrete material to be tested is obtained to obtain the temperature control method information; The center temperature value is obtained by selecting the middle value of the standard temperature range of the process in which the concrete material to be tested is located; Calculate the difference between the predicted concrete material temperature value W' and the center temperature value of the concrete material to be tested to obtain a target temperature difference; The temperature of the concrete material to be tested is controlled based on the temperature control method information and the target temperature difference until the real-time concrete material temperature value W is within the standard temperature range of the process of the concrete material to be tested, the temperature control operation is stopped, and the temperature control completion result is output.

9. A concrete whole process temperature control system based on the Internet of Things, characterized in that: The Internet of Things-based concrete whole-process temperature control system is used to implement the Internet of Things-based concrete whole-process temperature control method described in any one of claims 1 to 8, comprising: A process division module is configured to divide the entire concrete process to obtain a result of the division of the entire concrete process; The material self-influence analysis module is configured to obtain the material self-influence coefficient AWE based on the result of the whole concrete process division, and to judge the importance of the concrete material itself to the environmental impact of the concrete material according to the sensitivity of the concrete material itself in different processes, the scale of the concrete material and the placement of the concrete material; The environmental temperature impact analysis module is configured to detect the temperature of the concrete material to be tested in different processes in real time based on the result of the division of the entire concrete process to obtain a real-time concrete material temperature value W, detect the temperature of the external environment of the concrete material to be tested in different processes in real time to obtain the real-time concrete material environmental temperature, and determine the influence of the surrounding environment of the concrete material to be tested on the temperature of the concrete material to be tested based on the real-time concrete material temperature value W and the real-time concrete material environmental temperature value to obtain the environmental temperature influence coefficient BTH; The environmental interference factor analysis module is configured to determine whether there are environmental factors that interfere with the temperature of the concrete material to be tested in the environment of different processes according to the result of the whole concrete process division, and if there are environmental factors, mark them as environmental interference factors, and detect the influence of environmental interference factors on the temperature of the concrete material to be tested to obtain the environmental interference coefficient CPG; The material heat generation analysis module is configured to determine whether the concrete material to be tested will generate heat in the process operation of different processes based on the result of the whole process division of concrete. If heat is generated, the heat generated by the concrete to be tested in different processes is determined based on the composition ratio and process operation of the concrete material to be tested to obtain the material heat generation influence coefficient DSH; The temperature prediction module is configured to obtain the concrete material temperature influence coefficient ORT according to the material self influence coefficient AWE, the ambient temperature influence coefficient BTH, the environmental interference coefficient CPG and the material heat generation influence coefficient DSH, and to perform real-time prediction of the temperature of the concrete material to be measured according to the concrete material temperature influence coefficient ORT and the real-time concrete material temperature value W to obtain the predicted concrete material temperature value W'; The temperature control module is configured to determine whether the temperature of the concrete material to be tested needs to be controlled according to the predicted concrete material temperature value W'. If control is required, the temperature of the concrete material to be tested is controlled based on the concrete whole process division result until it meets the standard.

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