Method and device for determining warehousing temperature of rock-fill concrete

Abstract

The invention discloses a rock-fill concrete warehousing temperature determination method and device, and the method comprises the steps: obtaining the average value of the warehousing temperature of self-compacting concrete according to the obtained real-time temperature of an outlet of a distributing machine and a first interval frequency; according to the obtained solar radiation heat, real-time temperature rise caused by the solar radiation heat is determined; according to the obtained real-time atmospheric temperature and the real-time temperature rise caused by solar radiant heat, the real-time environment temperature of the pouring time period is determined; obtaining an average value of the atmospheric temperature according to the real-time atmospheric temperature and the second interval frequency; according to the real-time environment temperature and the third interval frequency, the average value of the environment temperature is obtained; according to the obtained height of the pouring bin, the average value of the atmospheric temperature and the average value of the environment temperature, the average value of the rockfill warehousing temperature is determined; and determining the rock-fill concrete warehousing temperature according to the average value of the self-compacting concrete warehousing temperature, the average value of the rock-fill warehousing temperature and the target parameters of the component materials.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of water conservancy and hydropower engineering, and particularly relates to a method for determining the stockpiling temperature of rockfill concrete and a device thereof. BACKGROUND

[0002] Rockfill concrete technology is a new type of concrete technology independently researched and developed by China, and is now widely used in the field of hydraulic dam construction. The construction process of this technology can be divided into two steps. First, large rocks are stacked into the warehouse to form a rockfill body, and then self-compacting concrete is poured to fill the voids. This approach significantly reduces the amount of cement, resulting in lower hydration heat temperature rise of rockfill concrete and obvious temperature control and crack prevention advantages.

[0003] However, the rockfill concrete construction process will result in a phenomenon that the stockpiling time of the rockfill body and the self-compacting concrete is inconsistent, which is quite different from normal concrete. This leads to a challenge in determining the stockpiling temperature of rockfill concrete. How to reasonably determine the stockpiling temperature of rockfill concrete is the key to accurately calculating the temperature field of rockfill concrete dam and establishing the temperature control and crack prevention standard of rockfill concrete dam.

[0004] Currently, the stockpiling temperature of rockfill concrete is usually equivalent to the atmospheric temperature, and then the average value of the rockfill body temperature and the self-compacting concrete pouring temperature is calculated quickly. This approach is simple and efficient, but it does not consider many influencing factors. Before the self-compacting concrete is poured, there is a certain difference in the temperature distribution inside the rockfill body, for example, due to weather factors, the temperature difference between the top and bottom of the rockfill body can reach more than 10℃. Therefore, considering the rockfill body temperature as the atmospheric temperature may result in inaccurate calculation of the stockpiling temperature of rockfill concrete, which is not conducive to controlling the temperature field of rockfill concrete dam and the temperature control and crack prevention of rockfill concrete dam. SUMMARY

[0005] The purpose of the present application is to provide a method for determining the stockpiling temperature of rockfill concrete and a device thereof.

[0006] The present application provides a method for determining the stockpiling temperature of rockfill concrete, comprising:

[0007] Obtaining target parameters of component materials of rockfill concrete; wherein the component materials of rockfill concrete include self-compacting concrete and rockfill;

[0008] Obtaining the real-time temperature of the material distributor outlet, the real-time atmospheric temperature and the solar radiation heat monitored within the pouring period;

[0009] According to the obtained real-time temperature of the material distributor outlet and the first interval frequency, the average value of the stockpiling temperature of self-compacting concrete is obtained;

[0010] determining a real-time temperature rise caused by the solar radiation heat according to the obtained solar radiation heat;

[0011] determining a real-time ambient temperature of the pouring period according to the obtained real-time atmospheric temperature and the real-time temperature rise caused by the solar radiation heat;

[0012] obtaining an average value of the atmospheric temperature according to the real-time atmospheric temperature and the second interval frequency;

[0013] obtaining an average value of the ambient temperature according to the real-time ambient temperature and the third interval frequency;

[0014] obtaining a pouring bin height;

[0015] determining an average value of a rockfill pouring temperature according to the obtained pouring bin height, the average value of the atmospheric temperature and the average value of the ambient temperature;

[0016] determining a rockfill concrete pouring temperature according to the average value of the self-compacting concrete pouring temperature, the average value of the rockfill pouring temperature and a target parameter; wherein,

[0017] The first interval frequency, the second interval frequency and the third interval frequency are consistent.

[0018] Further, the target parameter comprises a rockfill density, a rockfill specific heat, a self-compacting concrete density, a self-compacting concrete specific heat and a rockfill rate.

[0019] Further, the rockfill concrete pouring temperature is calculated according to the following conditional formula:

[0020]

[0021] In the formula, ρ ROCK is the rockfill density; c ROCK is the rockfill specific heat; ρ SCC is the self-compacting concrete density; c SCC is the self-compacting concrete specific heat; and r is the rockfill rate. is the average value of the self-compacting concrete pouring temperature; is the average value of the rockfill pouring temperature.

[0022] Further, the obtaining of the real-time temperature of the material distributor outlet monitored in the pouring period comprises:

[0023] linearly fitting the real-time temperature of the material distributor outlet monitored in the pouring period and the real-time atmospheric temperature to obtain a fitting curve;

[0024] obtaining a first period in which the real-time temperature of the material distributor outlet is not monitored in the pouring period;

[0025] According to the real-time atmospheric temperature in the first time period and the fitting curve, the real-time temperature of the cloth machine outlet in the first time period is obtained.

[0026] Further, the average value of the self-compacting concrete stockpile temperature is obtained according to the obtained real-time temperature of the cloth machine outlet and the first interval frequency.

[0027] The real-time temperature of the cloth machine outlet is monitored according to a preset interval time length, wherein the preset interval time length is set to 0.5h-6h.

[0028] The number of monitoring times in the pouring time period is calculated according to the pouring time period and the preset interval time length, wherein,

[0029] The average value of the self-compacting concrete stockpile temperature is calculated according to the following conditional formula:

[0030]

[0031] In the formula, T 布料机 (t) is the real-time temperature of the cloth machine outlet monitored at time t in the pouring time period; N is the number of monitoring times in the pouring time period.

[0032] Further, the average value of the rock stockpile temperature is determined according to the obtained pouring stockpile height, the average value of the atmospheric temperature and the average value of the environmental temperature, comprising:

[0033] The pouring stockpile height is set to 1.5-3m;

[0034] The average value of the rock stockpile temperature is calculated according to the following conditional formula:

[0035]

[0036] In the formula, is the average value of the environmental temperature; is the average value of the atmospheric temperature; H is the pouring stockpile height, and Z is the influence depth of solar radiation on the surface rock.

[0037] Further, the size of the rock in the rock stockpile is set to:

[0038] The proportion of the number of rocks with a particle size less than 300mm in the total number of rocks in the rock stockpile is not more than 30%; and / or,

[0039] The proportion of the number of rocks with a particle size greater than 400mm in the total number of rocks in the rock stockpile is greater than 30%.

[0040] The embodiment of the application provides a rock concrete stockpile temperature determination device, comprising:

[0041] The first obtaining module is configured to obtain a target parameter of a component material of the rockfill concrete; wherein the component material of the rockfill concrete comprises the self-compacting concrete and the rockfill;

[0042] The second obtaining module is configured to obtain a real-time temperature of an outlet of the spreader, a real-time atmospheric temperature and a solar radiation heat monitored in a pouring period;

[0043] The first silo temperature module is configured to obtain an average value of the self-compacting concrete silo temperature according to the real-time temperature of the outlet of the spreader and a first interval frequency;

[0044] The temperature rise module is configured to determine a real-time temperature rise caused by the solar radiation heat according to the solar radiation heat;

[0045] The environmental temperature module is configured to determine a real-time environmental temperature of the pouring period according to the real-time atmospheric temperature and the real-time temperature rise caused by the solar radiation heat;

[0046] The atmospheric temperature module is configured to obtain an average value of the atmospheric temperature according to the real-time atmospheric temperature and a second interval frequency;

[0047] The average environmental temperature module is configured to obtain an average value of the environmental temperature according to the real-time environmental temperature and a third interval frequency;

[0048] The third obtaining module is configured to obtain a pouring silo height;

[0049] The rockfill silo temperature module is configured to determine an average value of the rockfill silo temperature according to the pouring silo height, the average value of the atmospheric temperature and the average value of the environmental temperature;

[0050] The determining module is configured to determine the rockfill concrete silo temperature according to the average value of the self-compacting concrete silo temperature, the average value of the rockfill silo temperature and the target parameter; wherein,

[0051] The first interval frequency, the second interval frequency and the third interval frequency are consistent.

[0052] The embodiment of the present application provides an electronic device, which comprises a processor and a memory storing computer program instructions; the processor executes the computer program instructions to realize the steps of the method.

[0053] The embodiment of the present application provides a computer readable storage medium, which stores computer program instructions; the computer program instructions are executed by a processor to realize the steps of the method.

[0054] The embodiment of the present application provides a computer program product, the computer program product comprises computer program instructions, and the computer program instructions realize the steps of the method when being executed by a processor.

[0055] The above technical solutions of the present application have the following beneficial technical effects:

[0056] In the embodiment of the present application, the self-compacting concrete pouring temperature is obtained according to the temperature monitored at the outlet of the distributing machine, the internal temperature distribution of the rockfill is obtained according to the on-site weather condition, so as to determine the rockfill concrete storage temperature; and the actual rockfill concrete storage temperature is reasonably calculated according to the self-compacting concrete pouring temperature, the rockfill concrete storage temperature and the target parameters of each component material, so that the calculation result is more accurate and fine, and is more close to the actual situation, which lays a foundation for promoting the rockfill concrete operation safety system construction, and is beneficial to control the temperature field and the temperature control and crack prevention of the rockfill concrete dam. BRIEF DESCRIPTION OF DRAWINGS

[0057] Figure 1 It is a flow block diagram of a rockfill concrete storage temperature determination method according to the embodiment of the present application;

[0058] Figure 2 The fitting curve of the distributing machine outlet temperature and the atmospheric temperature is schematically shown;

[0059] Figure 3 The atmospheric temperature measurement value in the pouring period is schematically shown;

[0060] Figure 4 It is a structural block diagram of a rockfill concrete storage temperature determination device according to the embodiment of the present application;

[0061] Figure 5 It is a schematic diagram of an electronic device for realizing the rockfill concrete storage temperature determination method according to the embodiment of the present application. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of the present application more clear and obvious, the present application is further described in detail below with reference to the specific embodiments and the accompanying drawings. It should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present application. In addition, in the following description, the description of the known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present application. In this text, terms such as first, second, third, etc. are only used to distinguish one feature from another, and do not require or imply any order or association between the features.

[0063] Embodiments of the present application relate to terminal devices and / or servers. Those skilled in the art know that embodiments of the present application can be implemented as a system, apparatus, device, method, computer readable storage medium or computer program product. Therefore, the present disclosure can be embodied as at least one of complete hardware, complete software, or hardware and software in combination. According to embodiments of the present application, a method for determining the stock temperature of rockfill concrete, an apparatus, an electronic device, a computer readable storage medium and a computer program product are claimed.

[0064] Figure 1 A flowchart of a method for determining the stock temperature of rockfill concrete according to an embodiment of the present application is shown. The method comprises the following specific steps:

[0065] S101: Obtain target parameters of component materials of rockfill concrete; wherein the component materials of rockfill concrete include self-compacting concrete and rockfill.

[0066] Specifically, the target parameters can be determined by testing the component materials delivered on site, or can be determined according to similar engineering projects. The target parameters include rockfill density, rockfill specific heat, self-compacting concrete density, self-compacting concrete specific heat and rockfill rate.

[0067] S102: Obtain real-time temperature at the outlet of the material distributor, real-time atmospheric temperature and solar radiation heat monitored during the pouring period.

[0068] Specifically, a temperature sensor can be provided at the outlet of the material distributor to obtain the real-time temperature; a temperature sensor can be provided at the pouring site to obtain the real-time atmospheric temperature; and the solar radiation heat can be obtained by referring to relevant literature according to the latitude of the pouring site.

[0069] S103: Obtain the average value of the self-compacting concrete stock temperature according to the real-time temperature at the outlet of the material distributor and the first interval frequency.

[0070] Specifically, the interval frequency, i.e. the number of monitoring times, can be obtained by calculating according to the pouring period and the preset interval length, and the average value of the self-compacting concrete stock temperature can be obtained by adding up the monitored real-time temperatures at the outlet of the material distributor at each time point and dividing by the number of monitoring times.

[0071] S104: Determine the real-time temperature rise caused by solar radiation heat according to the obtained solar radiation heat.

[0072] S105: Determine the real-time environmental temperature during the pouring period according to the obtained real-time atmospheric temperature and the real-time temperature rise caused by solar radiation heat.

[0073] S106: Obtain the average value of the atmospheric temperature according to the real-time atmospheric temperature and the second interval frequency.

[0074] S107: obtaining an average value of the ambient temperature according to the real-time ambient temperature and the third interval frequency;

[0075] S108: obtaining the pouring bin height;

[0076] S109: determining an average value of the rockfill pouring temperature according to the obtained pouring bin height, the average value of the atmospheric temperature and the average value of the ambient temperature;

[0077] Specifically, the rockfill is easy to absorb heat, and the temperature difference between the top and the bottom of the rockfill body can reach more than 10℃ due to the influence of solar radiation heat. Therefore, the real-time ambient temperature is determined by calculating the real-time temperature rise caused by solar radiation heat, so that the average value of the rockfill pouring temperature is more accurate. According to the influence depth of solar radiation on the surface rockfill, the pouring bin height, the average value of the atmospheric temperature and the average value of the ambient temperature and other factors, the average value of the rockfill pouring temperature is determined, which can make the average value of the rockfill pouring temperature more accurate.

[0078] S110: determining the rockfill concrete pouring temperature according to the average value of the self-compacting concrete pouring temperature, the average value of the rockfill pouring temperature and the target parameter; wherein the first interval frequency, the second interval frequency and the third interval frequency are consistent.

[0079] Further, the rockfill concrete pouring temperature T RFC The calculation is performed according to the following conditional expression:

[0080]

[0081] In the formula, p ROCK is the rockfill density; c ROCK is the rockfill specific heat; p SCC is the self-compacting concrete density; c SCC is the self-compacting concrete specific heat; r is the rockfill rate; is the average value of the self-compacting concrete pouring temperature; is the average value of the rockfill pouring temperature.

[0082] In the embodiment of the application, the self-compacting concrete pouring temperature is obtained according to the temperature monitored at the outlet of the distributing machine, and the internal temperature distribution of the rockfill is obtained according to the on-site weather conditions, so as to determine the rockfill concrete pouring temperature. Then, the actual rockfill concrete pouring temperature is reasonably calculated according to the self-compacting concrete pouring temperature, the rockfill concrete pouring temperature and the target parameters of each component material, so that the calculation result is more accurate and fine, and is closer to the actual situation, which lays a foundation for promoting the rockfill concrete operation safety system construction, and is beneficial to control the temperature field of the rockfill concrete dam and the rockfill concrete dam temperature control and crack prevention.

[0083] In some embodiments, the step of acquiring the real-time temperature of the material distributor outlet monitored in the pouring period comprises the following specific steps:

[0084] S1021: linear fitting is performed according to the real-time temperature of the material distributor outlet monitored in the pouring period and the real-time atmospheric temperature to obtain a fitting curve;

[0085] S1022: a first period in which the real-time temperature of the material distributor outlet is not monitored in the pouring period is acquired;

[0086] S1023: the real-time temperature of the material distributor outlet not monitored in the first period is obtained according to the real-time atmospheric temperature in the first period and the fitting curve.

[0087] Specifically, due to the complex working conditions and harsh environment of the pouring site, the temperature monitoring is uncontrollable. When the real-time temperature of the material distributor outlet is not monitored in the pouring period, the real-time temperature of the material distributor outlet not monitored can be obtained by deducing the real-time temperature of the material distributor outlet monitored and the real-time atmospheric temperature, which is conducive to reasonably determining the rockfill concrete storage temperature.

[0088] In some embodiments, the step S103 of obtaining the average value of the self-compacting concrete storage temperature according to the acquired real-time temperature of the material distributor outlet and the first interval frequency comprises the following specific steps:

[0089] S1031: the real-time temperature of the material distributor outlet is monitored according to a preset interval time length; wherein the preset interval time length is set to 0.5h-6h;

[0090] S1032: the number of monitoring times in the pouring period is calculated according to the pouring period and the preset interval time length; wherein the average value of the self-compacting concrete storage temperature is calculated according to the following conditional formula:

[0091]

[0092] In the formula, T 面料机 (t) is the real-time temperature of the material distributor outlet monitored at time t in the pouring period; N is the number of monitoring times in the pouring period.

[0093] In some embodiments, the step S109 of determining the average value of the rockfill storage temperature according to the acquired pouring storage height, average value of the atmospheric temperature and average value of the environmental temperature comprises:

[0094] The pouring storage height is set to 1.5-3m;

[0095] The average value of the rockfill storage temperature is calculated according to the following conditional formula:

[0096]

[0097] In the formula, This represents the average ambient temperature. denoted as the average atmospheric temperature; H represents the height of the pouring chamber; and Z represents the depth of the influence of solar radiation on the surface rockfill.

[0098] In some embodiments, the particle size of the boulders in the rockfill is set as follows:

[0099] The proportion of stones with a diameter less than 300mm in the total number of stones in the rockfill is no more than 30%; and / or,

[0100] The number of stones with a diameter greater than 400mm accounts for more than 30% of the total number of stones in the rockfill.

[0101] Specifically, by reasonably limiting the size of the boulders, suitable gaps can be formed between the boulders in the rockfill skeleton, which is conducive to the self-compacting concrete filling the gaps and can improve the strength of the rockfill concrete dam.

[0102] The implementation methods and advantages of the embodiments of this application have been described above through multiple examples. The specific processing procedures of the embodiments of this application are described in detail below with reference to specific examples.

[0103] Taking a concrete pouring silo in Dongzhuang as an example, the technical solution of this invention will be described. The self-compacting concrete pouring in this silo began at 1:00 AM on August 16, 2023. The specific implementation method is as follows:

[0104] Step S201: Obtain the target parameters of each component material

[0105] Obtain the density ρ of the dam body rockfill ROCK Specific heat of piled rocks c ROCK The density ρ of self-compacting concrete SCC Specific heat of self-compacting concrete (c) SCC The value of the rockfill ratio γ should be given based on on-site material testing, or determined based on similar engineering projects.

[0106] For example, based on past experience data from similar engineering projects, the target parameters for each component material in a certain pouring section of the Dongzhuang riprap concrete were determined as follows: density ρ of self-compacting concrete. SCC Take 2300kg / m 3 Specific heat of self-compacting concrete (c) SCC Take 0.96 kJ / (kg·℃); density of riprap ρ ROCK Take 2700 kg / m 3 Specific heat of piled rocks c ROCK The coefficient of performance is 0.87 kJ / (kg·℃); the riprap ratio γ is 55%.

[0107] Step S202: Determine the pouring temperature of self-compacting concrete

[0108] Self-compacting concrete placement temperature T SCC The following conditional formula can be used for calculation:

[0109]

[0110] Among them, T 布料机 (t) represents the outlet temperature of the concrete placing boom monitored at time t; N represents the number of monitoring times. The monitoring interval is set to a fixed value, which can be 0.5h-6h depending on the calculation accuracy. If the outlet temperature is not monitored during a certain pouring period, it can be obtained by linear interpolation based on the temperature change pattern on the day of pouring.

[0111] For example, the temperature monitoring value at the outlet of the C25 self-compacting concrete placing boom and the temperature monitoring value at that time are shown in Table 1.

[0112] Table 1 Monitoring values ​​of the fabric feeding machine outlet temperature

[0113]

[0114]

[0115] Due to the lack of monitoring data during the pouring period, a linear fit can be performed based on the on-site air temperature monitoring values ​​and the monitored concrete placing boom outlet temperature, such as... Figure 2 As shown, the obtained actual temperature fitting values ​​have high accuracy. Based on the air temperature interpolation, the temperature changes of the self-compacting concrete in each hour of pouring are obtained, as shown in Table 4. The average temperature of the self-compacting concrete entering the formwork is obtained by averaging the various temperature values ​​in Table 2.

[0116] Table 2 Real-time temperature at the fabric feeding machine outlet at different times

[0117]

[0118]

[0119] Step S203: Determine the ambient temperature during the pouring period

[0120] Ambient temperature T during the pouring period env The formula is:

[0121] T env =T air +ΔT air (2)

[0122] Among them, T air The atmospheric temperature during the pouring period can be obtained from data monitored by on-site thermometers; ΔTair The temperature rise caused by solar radiation heat. The specific formula is:

[0123]

[0124] S sun = S0(1-kn) (4)

[0125] Wherein, k s is the solar radiation absorption coefficient, which can be taken as 0.65; β is the free heat dissipation coefficient of the rockfill top, which can be taken as 80 kJ / (m 2 .h.℃); S sun is the average solar radiation heat value in the pouring period; S0 is the solar radiation heat value in the pouring period, which is selected according to the time and latitude by referring to Table 3 and Table 4; n is the cloud amount, which can be taken as 0.2; k is the coefficient, which is selected by referring to Table 5.

[0126] Table 3 Solar radiation heat value in June at each latitude (unit: kJ / (m 2 .h.℃))

[0127] Latitude January February March April May June 60 95.7 243.0 540.2 895.5 1170.5 1296.7 55 168.8 348.9 647.2 965.3 1209.9 1320.0 50 264.5 467.3 759.7 1035.1 1243.7 1337.5 45 371.4 585.6 866.6 1104.9 1271.8 1354.9 40 489.6 716.5 956.7 1163.0 1288.7 1366.5 35 607.7 847.3 1041.1 1221.2 1294.3 1366.5 30 714.6 947.0 1097.3 1256.0 1294.3 1336.5 25 804.7 1028.0 1142.2 1267.7 1288.7 1360.7 20 872.2 1090.3 1170.5 1267.7 1271.8 1331.6 15 934.1 1140.1 1181.8 1256.0 1238.0 1290.9 10 979.2 1183.8 1181.8 1238.6 1193.0 1232.8

[0128] Table 4 Solar radiation heat value in July and August at each latitude (unit: kJ / (m 2 .h.℃))

[0129] Latitude July August September October November December 60 1215.5 922.9 610.6 343.3 151.2 67.5 55 1243.7 996.0 715.2 433.3 238.4 129.4 50 1266.2 1058.0 825.7 540.2 337.3 213.8 45 1288.7 1131.1 930.4 652.8 447.8 320.8 40 1305.6 1187.4 1023.4 754.1 564.1 433.3 35 1311.2 1226.8 1093.2 849.7 686.2 540.2 30 1311.2 1249.3 1151.4 928.5 790.8 641.5 25 1299.9 1254.9 1192.1 990.4 872.3 737.2 20 1277.4 1136.7 1221.2 1041.1 947.8 816.0 15 1243.7 1226.8 1227.0 1080.5 1006.0 883.5 10 1193.0 1193.0 1227.0 1103.0 1046.7 934.1

[0130] Table 5 Coefficient k value at each latitude

[0131] Latitude 60 55 50 45 40 35 30 25 20 15 10 k 0.60 0.62 0.64 0.66 0.67 0.68 0.68 0.68 0.67 0.67 0.66

[0132] For example, according to the geographical position of Dongzhuang Erdaoba and the pouring period, the solar radiation heat value S0 is taken as 1226.8 kJ / (m 2 .h.℃), and the coefficient k is taken as 0.68, so that the average solar radiation heat value S sun is calculated as 1059.96 kJ / (m 2 .h.℃), and the average temperature rise caused by solar radiation heat in the pouring period is calculated as

[0133] The measured value of the atmospheric temperature is shown in Figure 3 , wherein the horizontal coordinate is time, and the vertical coordinate is air temperature, and the average value of the atmospheric temperature in the pouring period is calculated as Figure 3

[0134] Step S204: determining the rockfill stockpile temperature

[0135] The average value of the rockfill stockpile temperature can be calculated by the following formula:​

[0136]

[0137]

[0138] Wherein, H is the pouring layer height; z is the influence depth of solar radiation on the surface layer rockfill, which can be taken as 0.2m; N is the selected monitoring times, which can be selected to be consistent with the monitoring times of the outlet temperature of the placing machine in step S202, and the monitoring interval time length can be selected to be consistent.

[0139] For example, the pouring bin height is 2m, and according to the average value of the atmospheric temperature and the average value of the ambient temperature, the average value of the rockfill bin temperature can be calculated as:

[0140] Step S205: determining the rockfill concrete bin temperature

[0141] For the total heat of the self-compacting concrete of the pouring bin Q SCC , the total heat of the rockfill Q ROCK can be written as the following formula:

[0142]

[0143]

[0144] On the other hand, the total heat of the rockfill concrete Q RFC can be equivalent to:

[0145] Q RFC = [p RFC ·V RFC ]c RFC T RFC (9)

[0146] Wherein, according to the heat balance equation, the following formula can be obtained:

[0147] Q RFC = Q SCC + Q ROCK (10)

[0148]

[0149] According to formula 11, the specific heat c RFC of the rockfill concrete can be calculated.

[0150] Simplifying formulas 7-11 can obtain:

[0151]

[0152] According to formula 12, the rockfill concrete bin temperature T RFC= 27.43°C.

[0153] Step S206: verifying the calculation result of the rockfill concrete placement temperature

[0154] Temperature sensors are arranged inside the rockfill concrete to measure the actual rockfill concrete placement temperature, for example, three temperature sensors can be arranged at different positions 20 cm from the top surface of the pouring chamber, and the average of the temperatures monitored by the three temperature sensors is taken as the measured actual rockfill concrete placement temperature, and compared with the rockfill concrete placement temperature T RFC If the accuracy rate reaches 95% or more, the specified requirements can be met, thereby proving that the accuracy of the calculation result is high, and the calculation result can be widely promoted in the industry.

[0155] For example, three temperature sensors are arranged at different positions 20 cm from the top end of a pouring chamber of the Dongzhuang rockfill concrete, and the monitored temperatures of the three temperature sensors are 26.93°C, 28.75°C and 27.18°C respectively one hour after pouring is completed, and the average of the three temperatures is taken as the measured actual rockfill concrete placement temperature, which is 27.62°C, and the accuracy rate of the calculation result is 99.3%.

[0156] The comparison results of the rockfill concrete placement temperatures calculated by the above method of the embodiment of the present application and the actual measured temperatures of other pouring chambers are as follows:

[0157]

[0158]

[0159] Corresponding to the method embodiment of the present application, the embodiment of the present application also provides a rockfill concrete placement temperature determination device, as shown in Figure 4 , which can specifically include:

[0160] A first acquisition module 501 is configured to acquire target parameters of component materials of the rockfill concrete; wherein the component materials of the rockfill concrete include self-compacting concrete and rockfill;

[0161] A second acquisition module 502 is configured to acquire monitored real-time outlet temperature of the material placing machine, real-time atmospheric temperature and solar radiation heat during the pouring period;

[0162] A first placement temperature module 503 is configured to acquire an average value of the self-compacting concrete placement temperature according to the acquired real-time outlet temperature of the material placing machine and the first interval frequency;

[0163] A temperature rise module 504 is configured to determine a real-time temperature rise caused by the solar radiation heat according to the acquired solar radiation heat;

[0164] an ambient temperature module 505, configured to determine a real-time ambient temperature of the pouring period according to the obtained real-time atmospheric temperature and real-time temperature rise caused by solar radiation heat;

[0165] an atmospheric temperature module 506, configured to obtain an average value of the atmospheric temperature according to the real-time atmospheric temperature and a second interval frequency;

[0166] an ambient temperature average value module 507, configured to obtain an average value of the ambient temperature according to the real-time ambient temperature and a third interval frequency;

[0167] a third obtaining module 508, configured to obtain a pouring bin height;

[0168] a rockfill bin temperature module 509, configured to determine an average value of a rockfill bin temperature according to the obtained pouring bin height, the average value of the atmospheric temperature and the average value of the ambient temperature;

[0169] a determining module 510, configured to determine a rockfill concrete bin temperature according to the average value of the self-compacting concrete bin temperature, the average value of the rockfill bin temperature and a target parameter; wherein,

[0170] The first interval frequency, the second interval frequency and the third interval frequency are consistent.

[0171] The electronic device in the embodiments of the present application can be a user terminal device, can be a server, can also be other computing devices, and can also be a cloud server. Figure 5 A hardware structure schematic diagram of the electronic device of the embodiments of the present application is shown, which can include a processor 601 and a memory 602 storing computer program instructions, and the processor 601 executes the computer program instructions to implement the flow or function of the method of any of the above embodiments.

[0172] In particular, the processor 601 can include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or can be configured to implement one or more integrated circuits that embody the embodiments of the present application. The memory 602 can include a mass storage for data or instructions. For example, the memory 602 can be at least one of a hard disk drive (HDD), a read-only memory (ROM), a random access memory (RAM), a floppy disk drive, a flash drive, an optical disk, a magneto-optical disk, a magnetic tape, a universal serial bus (USB) drive, or other physical / tangible memory storage device. Also, the memory 602 can include removable or non-removable (or fixed) media. Further, the memory 602 can be internal or external to the integrated gateway disaster recovery device. The memory 602 can be a non-volatile solid-state memory. In other words, the memory 602 generally includes a tangible (non-transitory) computer-readable storage medium (such as a memory device) encoded with computer-executable instructions that, when executed (by one or more processors), cause performance of the operations described in the methods of the embodiments of the present application. The processor 601 implements the flow or functions of any of the methods described above by reading and executing computer program instructions stored in the memory 602.

[0173] In one example, Figure 5 The electronic device shown can also include a communication interface 603 and a bus 610. The processor 601, the memory 602, and the communication interface 603 are connected by the bus 610 and complete communication with each other. The communication interface 603 is mainly used to realize the communication between the modules, devices, units, and / or equipment in the embodiments of the present application. The bus 610 includes hardware, software, or both, which can couple the components of the online data traffic billing device to each other. For example, the bus can include at least one of an accelerated graphics port (AGP) or other graphics bus, an enhanced industry standard architecture (EISA) bus, a front-side bus (FSB), a hypertransport (HT) interconnect, an industry standard architecture (ISA) bus, an infiniband interconnect, a low pin count (LPC) bus, a memory bus, a microchannel architecture (MCA) bus, a peripheral component interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a serial advanced technology attachment (SATA) bus, a video electronics standards association local (VLB) bus, or other suitable bus. The bus 610 can include one or more buses. Although the embodiments of the present application describe or show a specific bus, the embodiments of the present application can consider any suitable bus or interconnection method.

[0174] In combination with the method in the above embodiments, the embodiments of the present application further provide a computer readable storage medium, which has stored thereon computer program instructions, and the computer program instructions are executed by a processor to implement the flow or function of any of the methods in the above embodiments.

[0175] In addition, the embodiments of the present application further provide a computer program product, which has stored thereon computer program instructions, and the computer program instructions are executed by a processor to implement the flow or function of any of the methods in the above embodiments.

[0176] The flowcharts and / or block diagrams of the methods, apparatuses, systems and computer program products of the embodiments of the present application are described above by way of example, and various aspects are described. It should be understood that each block of the flowcharts and / or block diagrams, or any combination thereof, can be implemented by computer program instructions, or by special-purpose hardware configured to perform specified functions or actions, or by a combination of special-purpose hardware and computer program instructions. For example, these computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing apparatus, to produce a machine, such that the instructions, which execute via the processor, generate the functions / acts specified in the flowcharts and / or block diagrams for each block or any combination thereof. The processor can be a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic array.

[0177] The functional blocks shown in the structural block diagrams of the embodiments of the present application can be implemented as hardware, software, firmware, or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a functional card, and the like; when implemented in software, it is a program or a code segment used to perform the required tasks. The program or code segment can be stored in a memory, or transmitted in a data signal carried in a carrier wave over a transmission medium or a communication link. The code segment can be downloaded via a computer network, such as the Internet, an intranet, and the like.

[0178] It should be noted that the present application is not limited to the specific configurations and processes described above or shown in the drawings. The above description is merely a specific implementation of the present application, and those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the described systems, devices, modules or units can refer to the corresponding processes in the method embodiments, which need not be described again. It should be understood that the scope of protection of the present application is not limited thereto, and any skilled person in the art can think of various equivalent modifications or replacements within the technical scope disclosed by the present application, and these modifications or replacements should be covered by the scope of protection of the present application.

Claims

1. A method of determining the placement temperature of rockfill concrete, characterized in that, The method comprises the following steps: obtaining target parameters of component materials of rockfill concrete; wherein the component materials of rockfill concrete comprise self-compacting concrete and rockfill; obtaining monitored real-time temperature of the outlet of the material distributor, real-time atmospheric temperature and solar radiation heat during a pouring period; obtaining an average value of the self-compacting concrete stockpile temperature according to the monitored real-time temperature of the outlet of the material distributor and a first interval frequency; obtaining a real-time temperature rise caused by solar radiation heat according to the obtained solar radiation heat; obtaining a real-time environmental temperature of the pouring period according to the obtained real-time atmospheric temperature and the real-time temperature rise caused by solar radiation heat; obtaining an average value of the atmospheric temperature according to the real-time atmospheric temperature and a second interval frequency; obtaining an average value of the environmental temperature according to the real-time environmental temperature and a third interval frequency; obtaining the pouring stockpile height; obtaining an average value of the rockfill stockpile temperature according to the obtained pouring stockpile height, the average value of the atmospheric temperature and the average value of the environmental temperature; obtaining the rockfill concrete stockpile temperature according to the average value of the self-compacting concrete stockpile temperature, the average value of the rockfill stockpile temperature and the target parameters; wherein, the first interval frequency, the second interval frequency and the third interval frequency are consistent.

2. The determination method according to claim 1, characterized in that, The target parameters comprise rockfill density, rockfill specific heat, self-compacting concrete density, self-compacting concrete specific heat and rockfill rate.

3. The determination method according to claim 2, characterized in that, The rockfill concrete stockpile temperature is calculated according to the following conditional formula: wherein p ROCK is the rockfill density; c ROCK is the rockfill specific heat; p SCC is the self-compacting concrete density; c SCC is the self-compacting concrete specific heat; and r is the rockfill ratio; is the average of the self-compacting concrete placement temperature; and is the average of the rockfill placement temperature.

4. The determination method according to claim 1, characterized in that, The method comprises the following steps: obtaining a fitting curve according to the monitored real-time temperature of the outlet of the material distributor and the real-time atmospheric temperature during the pouring period; obtaining a first period during which the real-time temperature of the outlet of the material distributor is not monitored during the pouring period; obtaining the real-time temperature of the outlet of the material distributor during the first period according to the real-time atmospheric temperature during the first period and the fitting curve.

5. The determination method according to claim 1, characterized in that, The method comprises the following steps: The real-time temperature of the outlet of the material distributor is monitored at a preset interval time length; wherein the preset interval time length is set to 0.5h-6h; The number of monitoring times during the pouring period is calculated according to the pouring period and the preset interval time length; wherein, The average value of the self-compacting concrete stockpile temperature is calculated according to the following conditional formula: In the formula, T 布料机 (t) is the real-time temperature of the material distributor outlet monitored at time t during the pouring period; N is the number of monitoring times during the pouring period.

6. The determination method of claim 1, wherein, The method comprises the following steps: The pouring stockpile height is set to 1.5-3m; The average value of the rockfill stockpile temperature is calculated according to the following conditional formula: wherein is the average value of the ambient temperature; is the average value of the atmospheric temperature; H is the height of the casting bin, and Z is the depth of the influence of solar radiation on the surface layer of rockfill.

7. The determination method of claim 1, wherein, The size of the rock in the rockfill is set to: The proportion of the number of rocks with a size less than 300mm to the total number of rocks in the rockfill is not more than 30%; and / or, The proportion of the number of rocks with a size greater than 400mm to the total number of rocks in the rockfill is greater than 30%.

8. An apparatus for determining the placement temperature of rockfill concrete, characterized in that, The method comprises the following steps: a first obtaining module is configured to obtain target parameters of component materials of rockfill concrete; wherein the component materials of rockfill concrete comprise self-compacting concrete and rockfill; a second obtaining module is configured to obtain monitored real-time temperature of the outlet of the material distributor, real-time atmospheric temperature and solar radiation heat during a pouring period; The first silo temperature module is configured to obtain the average of the self-compacting concrete silo temperature according to the obtained real-time temperature of the cloth machine outlet and the first interval frequency; The temperature rise module is configured to determine the real-time temperature rise caused by the solar radiation heat according to the obtained solar radiation heat; The ambient temperature module is configured to determine the real-time ambient temperature of the pouring period according to the obtained real-time atmospheric temperature and the real-time temperature rise caused by the solar radiation heat; The atmospheric temperature module is configured to obtain the average of the atmospheric temperature according to the real-time atmospheric temperature and the second interval frequency; The average ambient temperature module is configured to obtain the average of the ambient temperature according to the real-time ambient temperature and the third interval frequency; The third obtaining module is configured to obtain the pouring silo height; The rockfill silo temperature module is configured to determine the average of the rockfill silo temperature according to the obtained pouring silo height, the average of the atmospheric temperature and the average of the ambient temperature; The determining module is configured to determine the rockfill concrete silo temperature according to the average of the self-compacting concrete silo temperature, the average of the rockfill silo temperature and the target parameter; wherein, The first interval frequency, the second interval frequency and the third interval frequency are consistent.

9. An electronic device, comprising: The electronic device comprises a processor and a memory storing computer program instructions; the electronic device executes the computer program instructions to realize the method of any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The computer readable storage medium stores computer program instructions, and the computer program instructions are executed by the processor to realize the method of any one of claims 1-7.

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