Material level measurement method, material level measurement control device, and asphalt mixing plant

Abstract

A material level measurement method, a material level measurement control device, and an asphalt mixing plant. The material level measurement method comprises: on the basis of respective feeding amounts of n cold feed bins (100), the amount of consumed hot aggregate in a certain hot aggregate bin (200), and a measured value of the amount of remaining hot aggregate in the certain hot aggregate bin (200) within a first preset time period, determining the proportion of materials inputted from the n cold feed bins (100) into the certain hot aggregate bin (200); and on the basis of respective feeding amounts of the n cold feed bins (100) and the amount of consumed hot aggregate in the certain hot aggregate bin (200) within a second preset time period, and the proportion of the materials, determining an actual value of the amount of remaining hot aggregate in the certain hot aggregate bin (200). The measured value of the amount of remaining hot aggregate indicates the amount of remaining hot aggregate in the certain hot aggregate bin (200) when a rotary paddle level indicator is triggered. Therefore, the present invention can achieve real-time measurement of material levels in the hot aggregate bins (200), and significantly improve the accuracy and precision of measuring the material levels in the hot aggregate bins (200).

Description

Material level detection method, material level detection control device and asphalt mixing station Technical Field

[0001] The present invention relates to the technical field of asphalt production, and in particular to a material level detection method, a material level detection device and an asphalt mixing station. Background Art

[0002] Asphalt mixing plants, also known as asphalt concrete mixing plants, are used to mass-produce asphalt concrete. They include a cold material system, a hot material hoisting system, a vibrating screen system, and a hot aggregate silo system. The cold material system is sequentially connected to the hot material hoisting system, the vibrating screen system, and the hot aggregate silo system to supply aggregate to the hot aggregate silo system. Each hot aggregate silo in the hot aggregate silo system stores aggregates of varying particle sizes, screened by the vibrating screen system. A full hot aggregate silo can damage the vibrating screen system; an empty hot aggregate silo can cause metering delays, impacting production. Therefore, the material level within the hot aggregate silo must be regularly monitored. Conventional methods typically employ either a continuous level meter or a rotary paddle level meter within the hot aggregate silo. The detection signal from a continuous level meter is easily affected by the environment, while a rotary paddle level meter can only detect an approximate range of the material level. The accuracy and precision of both are relatively poor.

[0003] Summary of the Invention

[0004] The present invention provides a material level detection method, a material level detection control device and an asphalt mixing plant, which are used to solve or improve the problem of relatively poor accuracy and precision of material level detection in existing hot aggregate silos.

[0005] According to a first aspect of the present invention, a material level detection method is provided, comprising the following steps:

[0006] Determine the proportion of material input from the n cold aggregate bins to the certain hot aggregate bin based on the respective loading amounts of the n cold aggregate bins within a first preset time, the hot aggregate consumption in a certain hot aggregate bin, and a detection value of the hot aggregate remaining amount in the certain hot aggregate bin;

[0007] Determining an actual value of the remaining amount of hot aggregate in a certain hot aggregate bin based on the respective loading amounts of the n cold aggregate bins within the second preset time, the hot aggregate consumption in a certain hot aggregate bin, and the material proportion;

[0008] The hot aggregate remaining amount detection value is the remaining amount of hot aggregate in the hot aggregate bin when the rotary damper level timing is triggered.

[0009] According to a material level detection method provided by the present invention, the step of determining the proportion of material input from the n cold aggregate bins to the certain hot aggregate bin based on the respective loading amounts of n cold aggregate bins within a first preset time, the hot aggregate consumption in a certain hot aggregate bin, and the hot aggregate remaining amount detection value of the certain hot aggregate bin specifically includes:

[0010] Adjusting the loading amount of at least one of the n cold material bins within a first preset time to obtain the loading amount of at least n groups of n cold material bins;

[0011] Taking the ratio of the material input from the n cold aggregate bins to the hot aggregate bin as an unknown number, establishing at least n linear equations with n variables based on the loading amounts of the n groups of n cold aggregate bins, the hot aggregate consumption in the hot aggregate bin within a first preset time, and the detected value of the hot aggregate remaining amount in the hot aggregate bin;

[0012] Based on the at least n linear equations of n variables, a ratio of the materials input from the n cold aggregate bins to the certain hot aggregate bin is determined.

[0013] According to a material level detection method provided by the present invention, the material level detection method further includes:

[0014] Based on the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin and the shape and volume of the certain hot aggregate bin, the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin is determined.

[0015] According to a material level detection method provided by the present invention, a belt scale is provided at the outlet end of each cold material bin, and each belt scale is used to detect the material loading amount of each of the n cold material bins.

[0016] The outlet end of the certain hot aggregate bin is provided with a metering scale, and the metering scale is used to detect the hot aggregate consumption in the certain hot aggregate bin.

[0017] According to a material level detection method provided by the present invention, the material level detection method further includes:

[0018] Based on the obvious change in the material level of the actual value of the remaining amount of hot aggregate in the hot aggregate bin, a material level calibration operation is performed.

[0019] According to a material level detection method provided by the present invention, a plurality of the rotary paddle level meters are arranged at intervals along the height direction in a certain hot aggregate silo.

[0020] Wherein, the material level detection method further includes:

[0021] When the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin triggers the new rotary paddle level meter, it is determined that the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin has changed significantly.

[0022] According to a material level detection method provided by the present invention, the steps of the material level verification operation specifically include:

[0023] Re-adjusting the feeding amount of at least one of the n cold aggregate bins multiple times, and establishing at least n new n-variable linear equations based on the hot aggregate consumption in the hot aggregate bin, the new material ratio input from the n cold aggregate bins to the hot aggregate bin, and the hot aggregate remaining amount detection value of the hot aggregate bin;

[0024] Based on the at least n new n-variable linear equations, re-determining a new material ratio input from the n cold aggregate bins to the certain hot aggregate bin;

[0025] Re-determining the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin based on the readjusted loading amounts of the n cold aggregate bins, the hot aggregate consumption in the certain hot aggregate bin, and the new material ratio input from the n cold aggregate bins to the certain hot aggregate bin;

[0026] Based on the re-determined actual value of the remaining amount of hot aggregate in the certain hot aggregate bin and the shape and volume of the certain hot aggregate bin, the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin is re-determined.

[0027] According to a material level detection method provided by the present invention, after the step of re-determining the material level of the remaining hot aggregate in the certain hot aggregate bin based on the re-determined actual value of the remaining hot aggregate in the certain hot aggregate bin and the shape and volume of the certain hot aggregate bin, the method further includes:

[0028] The material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin is re-determined by back-checking each rotary paddle level meter in the certain hot aggregate bin.

[0029] According to a second aspect of the present invention, there is provided a material level detection control device, comprising:

[0030] A detection module, the detection module is used to detect the loading amount of each of the n cold aggregate bins and the hot aggregate consumption in a certain hot aggregate bin;

[0031] The control module is used to execute the material level detection method described above based on the detection result of the detection module.

[0032] According to a third aspect of the present invention, an asphalt mixing plant is provided, which detects the level of hot aggregate in a hot aggregate bin using the level detection method described above.

[0033] An asphalt mixing system typically includes multiple cold aggregate silos, vibrating screen systems, and multiple hot aggregate silos. Each cold aggregate silo can feed material to a different hot aggregate silo via the vibrating screen system. The material level detection method provided herein uses the material level detection within one of the hot aggregate silos as an example. In other words, the example uses the case where each cold aggregate silo feeds material to a single hot aggregate silo via the vibrating screen system. The remaining hot aggregate silos in the asphalt mixing system are then tested using the same material level detection method.

[0034] In the material level detection method provided by the present invention, the total amount of material input into a particular hot aggregate silo can be determined based on the respective loading amounts of different cold silos and the material ratios of the different cold silos input into the particular hot aggregate silo. The sum of the hot aggregate consumption of the hot aggregate silo and its remaining hot aggregate is its total material input. For example, the number of cold silos is n. Based on this, the material ratio of the n cold silos input into the particular hot aggregate silo can be determined based on the respective loading amounts of the n cold silos, the hot aggregate consumption of a particular hot aggregate silo, and the detection value of the remaining hot aggregate in the particular hot aggregate silo within a first preset time. The detection value of the remaining hot aggregate is the remaining hot aggregate in the particular hot aggregate silo when the rotary damper material level meter is triggered. After obtaining the specific numerical value of the material ratio of the n cold silos input into the particular hot aggregate silo, the actual value of the remaining hot aggregate in the particular hot aggregate silo is determined based on the respective loading amounts of the n cold silos, the hot aggregate consumption of a particular hot aggregate silo, and the material ratio within a second preset time.

[0035] Among them, within the first preset time and the second preset time, the proportion of material input from n cold material bins to a certain hot aggregate bin is the same value, and the loading amount of each of the n cold material bins and the hot aggregate consumption in a certain hot aggregate bin can be the same value or different values.

[0036] With this structural arrangement, the proportion of material input from the n cold silos to a particular hot aggregate silo can be determined based on the respective loading amounts of the n cold silos, the hot aggregate consumption within a particular hot aggregate silo, and the detected value of the remaining hot aggregate in the particular hot aggregate silo within a first preset time period. Furthermore, the actual remaining hot aggregate in the particular hot aggregate silo can be determined based on the respective loading amounts of the n cold silos, the hot aggregate consumption within the particular hot aggregate silo, and the material proportion within a second preset time period. This allows for real-time detection of the material level within the hot aggregate silo, significantly improving the accuracy and precision of material level detection within the hot aggregate silo.

[0037] Furthermore, in the asphalt mixing plant provided by the present invention, since the material level in the hot aggregate bin is detected by the material level detection method as described above, it also has the advantages as described above. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] FIG1 is a flow chart of a material level detection method provided by the present invention;

[0039] FIG2 is a schematic diagram of a partial structure of an asphalt mixing plant provided by the present invention;

[0040] Reference numerals:

[0041] 100, cold aggregate silo; 200, hot aggregate silo; 300, conveyor belt scale; 400, transport belt; 500, elevator; 600, vibrating screen; 700, weighing scale. DETAILED DESCRIPTION

[0042] The following embodiments of the present invention are described in further detail with reference to the accompanying drawings and examples. The following examples are used to illustrate the present invention but are not intended to limit the scope of the present invention.

[0043] The following describes a material level detection method, a material level detection control device, and an asphalt mixing plant provided by an embodiment of the present invention in conjunction with Figures 1 and 2. It should be understood that the following description is merely an illustrative embodiment of the present invention and does not constitute any particular limitation to the present invention.

[0044] An embodiment of the first aspect of the present invention provides a material level detection method, as shown in FIG1 and FIG2 , the material level detection method includes the following steps:

[0045] Determine the proportion of material input from the n cold aggregate bins 100 to a certain hot aggregate bin 200 based on the respective loading amounts of the n cold aggregate bins 100 within the first preset time, the hot aggregate consumption in a certain hot aggregate bin 200, and the hot aggregate remaining amount detection value of the certain hot aggregate bin 200;

[0046] Based on the respective loading amounts of the n cold aggregate bins 100 within the second preset time, the hot aggregate consumption and the material proportion in a certain hot aggregate bin 200, the actual value of the remaining amount of hot aggregate in a certain hot aggregate bin 200 is determined.

[0047] The hot aggregate remaining amount detection value is the remaining amount of hot aggregate in a hot aggregate bin 100 when the rotary damper level meter is triggered.

[0048] An asphalt mixing system typically includes multiple cold aggregate silos 100, a vibrating screen system, and multiple hot aggregate silos 200. Each cold aggregate silo 100 can feed material to a different hot aggregate silo via the vibrating screen system. The material level detection method provided herein uses the material level detection within a single hot aggregate silo 200 as an example. In other words, the example uses each cold aggregate silo 100 feeding material to a single hot aggregate silo 200 via the vibrating screen system. The remaining hot aggregate silos 200 in the asphalt mixing system undergo material level detection using the same method.

[0049] In the material level detection method provided by the present invention, the total amount of material input into a certain hot aggregate bin 200 can be obtained based on the respective loading amounts of different cold material bins 100 and the proportion of material input from different cold material bins 100 to a certain hot aggregate bin 200. The sum of the hot aggregate consumption of the hot aggregate bin 200 and its remaining hot aggregate is its total material input. For example, the number of cold material bins 100 is n. Based on this, according to the respective loading amounts of n cold material bins 100 within the first preset time, the hot aggregate consumption in a certain hot aggregate bin 200, and the detection value of the remaining hot aggregate of a certain hot aggregate bin 200, the proportion of material input from n cold material bins 100 to a certain hot aggregate bin 200 can be determined. Among them, the detection value of the remaining hot aggregate is the remaining hot aggregate in a certain hot aggregate bin 200 when the rotary damper material level timing is triggered. After obtaining the specific numerical value of the material ratio input from n cold material bins 100 to a certain hot aggregate bin 200, the actual value of the remaining hot aggregate in a certain hot aggregate bin 200 is determined based on the respective material loading amounts of the n cold material bins 100 within the second preset time, the hot aggregate consumption in a certain hot aggregate bin 200 and the material ratio.

[0050] Among them, within the first preset time and the second preset time, the proportion of material input from n cold material bins 100 to a certain hot aggregate bin 200 is the same value, and the loading amount of each of the n cold material bins 100 and the hot aggregate consumption in a certain hot aggregate bin 200 can be the same value or different values.

[0051] With this structural arrangement, the proportion of material input from the n cold sluice bins 100 to a particular hot aggregate bin 200 can be determined based on the respective loading amounts of the n cold sluice bins 100, the hot aggregate consumption within a particular hot aggregate bin 200, and the hot aggregate remaining amount detected in the particular hot aggregate bin 200 within a first preset time period. Furthermore, the actual value of the hot aggregate remaining amount in the particular hot aggregate bin 200 can be determined based on the respective loading amounts of the n cold sluice bins 100, the hot aggregate consumption within the particular hot aggregate bin 200, and the material proportion within a second preset time period. This allows for real-time detection of the material level within the hot aggregate bin 200, significantly improving the accuracy and precision of material level detection within the hot aggregate bin 200.

[0052] In one embodiment of the present invention, based on the respective loading amounts of the n cold aggregate bins 100 within a first preset time, the hot aggregate consumption in a hot aggregate bin 200, and the hot aggregate remaining amount detection value of the hot aggregate bin 200, the step of determining the proportion of the material input from the n cold aggregate bins 100 to the hot aggregate bin 200 specifically includes:

[0053] Adjusting the loading amount of at least one of the n cold material bins 100 within a first preset time to obtain the loading amount of at least n groups of n cold material bins 100;

[0054] Taking the ratio of the material input from n cold aggregate bins 100 to a certain hot aggregate bin 200 as an unknown number, at least n linear equations with n variables are established based on the loading amounts of n groups of n cold aggregate bins, the hot aggregate consumption in a certain hot aggregate bin 200 within a first preset time, and the hot aggregate remaining amount detected in the certain hot aggregate bin 200;

[0055] Based on at least n linear equations of n variables, the ratio of the materials input from n cold aggregate bins 100 to a certain hot aggregate bin 200 is determined.

[0056] In one embodiment provided by the present invention, the material level detection method further includes:

[0057] Based on the actual value of the remaining amount of hot aggregate in a certain hot aggregate bin 200 and the shape and volume of the certain hot aggregate bin 200 , the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin 200 is determined.

[0058] For example, as shown in Figure 2, in this embodiment, an asphalt mixing plant is equipped with three cold aggregate silos 100 and three hot aggregate silos 200. A conveyor belt 400 is installed at the bottom of each cold aggregate silo 100 to transport the aggregate from each cold aggregate silo 100 to an elevator 500. The elevator 500 lifts the aggregate into a vibrating screen 600, which then sorts the aggregate into particles of different particle sizes and transports them to each hot aggregate silo 200. This example describes the detection of the second hot aggregate level in one hot aggregate silo 200. The three cold aggregate silos 100 are cold aggregate silo 1, cold aggregate silo 2, and cold aggregate silo 3, respectively. The hot aggregate silo 200 is hot aggregate silo 1, and the type of hot aggregate in silo 1 is A. The hot aggregate consumption in silo 1 is B. The remaining hot aggregate level in silo 1 is C1. The loading amount of the No. 1 cold material bin is X, and the proportion of hot aggregate A it contains is a1. The loading amount of the No. 2 cold material bin is Y, and the proportion of hot aggregate A it contains is a2. The loading amount of the No. 3 cold material bin is Z, and the proportion of hot aggregate A it contains is a3. Therefore, the following equation can be derived: Xa1+Ya2+Za3=B+C1. Among them, X, Y, Z, B and C1 are all detection values, among which C1 is the detection value that triggers the rotary damper level timing. In other words, the above equation contains 3 unknowns, that is, the above equation is a three-variable linear equation. Based on different loading states, three three-variable linear equations are established. Based on the three three-variable linear equations, the specific values ​​of a1:a2:a3 can be determined. The actual value of the remaining hot aggregate in the No. 1 hot aggregate bin is C2. After determining the specific values ​​of a1:a2:a3, based on the equation Xa1+Ya2+Za3=B+C2, the specific value of the actual value C2 of the remaining hot aggregate in the No. 1 hot aggregate bin can be obtained.

[0059] The actual value C2 of the remaining hot aggregate is a weight value. After obtaining the specific value of the actual value C2, the material level of the actual value of the remaining hot aggregate in the hot aggregate bin 200 is determined based on the particle size of the hot aggregate A in the hot aggregate bin 200 and the shape and size of the hot aggregate bin 200. For example, if the hot aggregate bin 200 is cylindrical, the material level corresponding to the actual value of the remaining hot aggregate in the hot aggregate bin 200 can be calculated based on the particle size of the hot aggregate A in the hot aggregate bin 200, the actual value C2 of the remaining hot aggregate, and the bottom area of ​​the cylindrical hot aggregate bin 200.

[0060] In one embodiment of the present invention, a belt scale 300 is provided at the outlet of each cold material bin 100. Each belt scale 300 is used to detect the loading amount of each of the n cold material bins 100.

[0061] A weighing scale 700 is provided at the outlet of a certain hot aggregate bin 200. The weighing scale 700 is used to detect the hot aggregate consumption in a certain hot aggregate bin 200.

[0062] As shown in Figure 2, a No. 1 belt scale 300 is installed at the outlet of cold material bin No. 1, a No. 2 belt scale 300 is installed at the outlet of cold material bin No. 2, and a No. 3 belt scale 300 is installed at the outlet of cold material bin No. 3. Transport belts 400 are installed at the lower ends of the No. 1, No. 2, and No. 3 belt scales 300. The materials dropped from these scales are transported to an elevator 500. The No. 1 belt scale 300 can detect the amount of material loaded into cold material bin No. 1, the No. 2 belt scale 300 can detect the amount of material loaded into cold material bin No. 2, and the No. 3 belt scale 300 can detect the amount of material loaded into cold material bin No. 3. A weighing scale 700 is installed at the outlet of each hot aggregate bin 200. Each weighing scale 700 is used to detect the hot aggregate consumption of the corresponding hot aggregate bin 200. For example, a weighing scale is installed at the outlet of hot aggregate silo No. 1. This weighing scale can detect the hot aggregate consumption in hot aggregate silo No. 1. Based on the aforementioned detection parameters, and in combination with the relationship between these detection parameters and the proportion of material input into hot aggregate silo No. 1 from cold silos No. 1, No. 2, and No. 3, as well as the remaining hot aggregate in hot aggregate silo No. 1, a corresponding equation can be established to determine the remaining hot aggregate in hot aggregate silo No. 1.

[0063] For example, an asphalt mixing plant includes three cold aggregate silos 100: No. 1, No. 2, and No. 3. These silos deliver material to multiple hot aggregate silos 200 within the plant. For example, let's examine the hot aggregate level in Hot Aggregate Silo No. 1. The type of hot aggregate in Hot Aggregate Silo No. 1 is A. The measurement value of the weighing scale 700 is B. The measured value of the remaining hot aggregate in Hot Aggregate Silo No. 1 is C1. The actual remaining hot aggregate in Hot Aggregate Silo No. 1 is C2. The measurement value of the conveyor belt scale 300 is X; the measurement value of the conveyor belt scale 300 is Y; and the measurement value of the conveyor belt scale 300 is Z. The weight ratio of the hot aggregate A coming from Cold Aggregate Silo No. 1, Cold Aggregate Silo No. 2, and Cold Aggregate Silo No. 3 is a1:a2:a3.

[0064] Adjust the loading amount of cold silo No. 1 and / or the loading amount of cold silo No. 2 and / or the loading amount of cold silo No. 3 at least three times to obtain three different three-variable linear equations. Based on the three different three-variable linear equations, determine that the weight ratio of the hot aggregate A from cold silo No. 1, cold silo No. 2 and cold silo No. 3 is a1:a2:a3.

[0065] In one embodiment of the present invention, the material level detection method further includes:

[0066] Based on the obvious change in the material level of the actual value of the remaining amount of hot aggregate in a certain hot aggregate bin 200, a material level calibration operation is performed.

[0067] Furthermore, in one embodiment of the present invention, a plurality of rotary paddle level meters are arranged at intervals along the height direction in a certain hot aggregate bin 200 .

[0068] Material level detection methods also include:

[0069] When the material level of the actual value of the remaining amount of hot aggregate in a certain hot aggregate bin 200 triggers a new rotary paddle level meter, it is determined that the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin 200 has changed significantly.

[0070] Furthermore, in one embodiment of the present invention, the steps of the material level calibration operation specifically include:

[0071] Re-adjust the feeding amount of at least one of the n cold aggregate bins 100 multiple times, and establish at least n new n-variable linear equations based on the hot aggregate consumption in a certain hot aggregate bin 200, the new material ratio input from different cold aggregate bins 100 to a certain hot aggregate bin 200, and the hot aggregate remaining amount detection value of a certain hot aggregate bin 200;

[0072] Based on at least n new n-variable linear equations, a new material ratio input from n cold aggregate bins 100 to a certain hot aggregate bin 200 is re-determined;

[0073] Based on the readjusted loading amounts of the n cold aggregate bins 100, the hot aggregate consumption in a certain hot aggregate bin 200, and the new material ratio input from the n cold aggregate bins 100 to the certain hot aggregate bin 200, the actual value of the remaining hot aggregate amount in the certain hot aggregate bin 200 is re-determined;

[0074] Based on the re-determined actual value of the remaining amount of hot aggregate in a certain hot aggregate bin 200 and the shape and volume of the certain hot aggregate bin 200 , the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin 200 is re-determined.

[0075] Specifically, multiple rotary paddle level gauges are spaced along the height of the hot aggregate silo 200. These rotary paddle level gauges can detect the approximate material level range within the hot aggregate silo 200. For example, if the hot aggregate in the hot aggregate silo 200 suddenly changes from triggering one rotary paddle level gauge to triggering another, this indicates a sudden and significant change in the material level within the hot aggregate silo 200. In this situation, it is necessary to verify whether the material level change within the hot aggregate silo 200 is normal. The verification step is to re-establish multiple new, different, n-variable linear equations. For example, the material load of cold silo No. 1, cold silo No. 2, and cold silo No. 3 is readjusted at least three times to obtain three new, different, three-variable linear equations. Based on these three new, different, three-variable linear equations, the new values ​​of the weight ratios a1:a2:a3 of the hot aggregate A from cold silo No. 1, cold silo No. 2, and cold silo No. 3 in the current state are determined. Based on the readjusted loading amount of the n cold material bins 100, the hot aggregate consumption in a certain hot aggregate bin 200 and the new material ratio input from the n cold material bins 100 to a certain hot aggregate bin 200, the actual value of the remaining hot aggregate in a certain hot aggregate bin 200 is re-determined.

[0076] Based on the re-determined actual value of the remaining amount of hot aggregate in the No. 1 hot aggregate silo, the particle size of the hot aggregate in the No. 1 hot aggregate silo, and the shape and volume of the No. 1 hot aggregate silo, the material level of the actual value of the remaining amount of hot aggregate in the No. 1 hot aggregate silo in the current state is re-determined.

[0077] Furthermore, in one embodiment of the present invention, after the step of re-determining the material level of the actual value of the remaining amount of hot aggregate in the hot aggregate bin 200 based on the re-determined actual value of the remaining amount of hot aggregate in the hot aggregate bin 200 and the shape and volume of the hot aggregate bin 200, the method further includes:

[0078] The material level of the remaining amount of hot aggregate in a certain hot aggregate bin 200 is re-determined by back-checking each rotary paddle level meter in a certain hot aggregate bin 200.

[0079] For example, when recalculating the hot aggregate level in hot aggregate bin No. 1, check whether the hot aggregate level value is within the level height detection range of the rotary paddle level meter that is currently in the triggered state. If it is within the level height detection range of the rotary paddle level meter, indicating that the calculated value and the detected value of the level height are basically consistent at this time, the calculated hot aggregate level value in hot aggregate bin No. 1 is reported as the level value of hot aggregate bin No. 1. If it is outside the level height detection range of the rotary paddle level meter, indicating that there is an error between the calculated value and the detected value of the level height at this time, wait for the next time a new rotary paddle level meter is triggered, and report the trigger end value of the new rotary paddle level meter as the level value in hot aggregate bin No. 1. In this way, the accuracy of level detection can be further improved.

[0080] A second aspect of the present invention provides a material level detection control device, comprising:

[0081] A detection module is used to detect the loading amount of each of the n cold aggregate bins 100 and the hot aggregate consumption in a certain hot aggregate bin 200;

[0082] The control module is used to execute the material level detection method described above based on the detection result of the detection module.

[0083] For example, the detection module includes a belt scale 300 for detecting the loading amount of each cold aggregate bin 100 and a weighing scale 700 for detecting the hot aggregate consumption in the hot aggregate bin 200. The control module can execute the material level detection method described above based on the detection results of the detection module. For example, the control module can receive corresponding detection data, establish a corresponding multivariate linear equation, calculate the material ratio based on the multivariate linear equation, and calculate the remaining hot aggregate in the corresponding hot aggregate bin 200 based on the material ratio. In addition, the control module can also calculate the current hot aggregate level based on the particle size of the hot aggregate, the shape and size of the hot aggregate bin 200, and the actual value of the hot aggregate remaining in the hot aggregate bin 200.

[0084] The embodiment of the third aspect of the present invention further provides an asphalt mixing plant, including the material level detection control device as described above, or detecting the hot aggregate level in the hot aggregate bin 200 using the material level detection method as described above.

[0085] Furthermore, in the asphalt mixing plant provided by the present invention, since the material level detection method as described above is used to detect the material level of the hot aggregate in the hot aggregate bin 200, the plant also has the advantages as described above.

Claims

1. A material level detection method, characterized in that: The steps include: Determine the proportion of material input from the n cold aggregate bins to the certain hot aggregate bin based on the respective loading amounts of the n cold aggregate bins within a first preset time, the hot aggregate consumption in a certain hot aggregate bin, and a detection value of the hot aggregate remaining amount in the certain hot aggregate bin; Determining an actual value of the remaining amount of hot aggregate in a certain hot aggregate bin based on the respective loading amounts of the n cold aggregate bins within the second preset time, the hot aggregate consumption in a certain hot aggregate bin, and the material proportion; The hot aggregate remaining amount detection value is the remaining amount of hot aggregate in the hot aggregate bin when the rotary damper level timing is triggered.

2. The material level detection method according to claim 1, characterized in that: The step of determining the proportion of material input from the n cold aggregate bins to the certain hot aggregate bin based on the respective loading amounts of the n cold aggregate bins within the first preset time, the hot aggregate consumption in the certain hot aggregate bin, and the hot aggregate remaining amount detection value of the certain hot aggregate bin specifically includes: Adjusting the loading amount of at least one of the n cold material bins within a first preset time to obtain the loading amount of at least n groups of n cold material bins; Taking the ratio of the material input from the n cold aggregate bins to the hot aggregate bin as an unknown number, establishing at least n linear equations with n variables based on the loading amounts of the n groups of n cold aggregate bins, the hot aggregate consumption in the hot aggregate bin within a first preset time, and the detected value of the hot aggregate remaining amount in the hot aggregate bin; Based on the at least n linear equations of n variables, a ratio of the materials input from the n cold aggregate bins to the certain hot aggregate bin is determined.

3. The material level detection method according to claim 1, characterized in that: The material level detection method further comprises: Based on the actual value of the hot aggregate remaining amount of the hot aggregate bin and the shape of the hot aggregate bin The shape and volume of the hot aggregate are used to determine the material level of the actual value of the remaining hot aggregate in the hot aggregate bin.

4. The material level detection method according to claim 3, characterized in that: A belt scale is provided at the outlet of each cold material bin, and each belt scale is used to detect the loading amount of each of the n cold material bins; The outlet end of the certain hot aggregate bin is provided with a metering scale, and the metering scale is used to detect the hot aggregate consumption in the certain hot aggregate bin.

5. The material level detection method according to any one of claims 1 to 4, characterized in that: The material level detection method further comprises: Based on the obvious change in the material level of the actual value of the remaining amount of hot aggregate in the hot aggregate bin, a material level calibration operation is performed.

6. The material level detection method according to claim 5, characterized in that: A plurality of rotary paddle level gauges are arranged in the hot aggregate bin at intervals along the height direction. Wherein, the material level detection method further includes: When the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin triggers the new rotary paddle level meter, it is determined that the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin has changed significantly.

7. The material level detection method according to claim 6, characterized in that: The steps of the material level calibration operation specifically include: Re-adjusting the feeding amount of at least one of the n cold aggregate bins multiple times, and establishing at least n new n-variable linear equations based on the hot aggregate consumption in the hot aggregate bin, the new material ratio input from the n cold aggregate bins to the hot aggregate bin, and the hot aggregate remaining amount detection value of the hot aggregate bin; Based on the at least n new n-variable linear equations, re-determining a new material ratio input from the n cold aggregate bins to the certain hot aggregate bin; Re-determining the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin based on the readjusted loading amounts of the n cold aggregate bins, the hot aggregate consumption in the certain hot aggregate bin, and the new material ratio input from the n cold aggregate bins to the certain hot aggregate bin; Based on the re-determined actual value of the remaining amount of hot aggregate in the certain hot aggregate bin and the shape and volume of the certain hot aggregate bin, the material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin is re-determined.

8. The material level detection method according to claim 7, characterized in that: After the step of re-determining the level of the remaining hot aggregate in the certain hot aggregate bin based on the re-determined actual value of the remaining hot aggregate in the certain hot aggregate bin and the shape and volume of the certain hot aggregate bin, the method further includes: The material level of the actual value of the remaining amount of hot aggregate in the certain hot aggregate bin is re-determined by back-checking each rotary paddle level meter in the certain hot aggregate bin.

9. A material level detection and control device, characterized in that: include: A detection module, the detection module is used to detect the loading amount of each of the n cold aggregate bins and the hot aggregate consumption in a certain hot aggregate bin; A control module is configured to execute the material level detection method according to any one of claims 1 to 8 based on the detection result of the detection module.

10. An asphalt mixing plant, characterized in that: The method comprises the material level detection control device according to claim 9, or the material level detection method according to any one of claims 1 to 8 is used to detect the hot aggregate level in the hot aggregate bin.

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