Cold material treatment method and device, asphalt mixing plant

Abstract

The present application relates to the field of mechanical control, and provide a kind of cold material processing method and device, asphalt mixing station, wherein the method comprises: the cold material in target cold material bin is transported to multiple aggregate bins, wherein each aggregate in cold material enters corresponding aggregate bin respectively;The storage amount of each aggregate in cold material in corresponding aggregate bin is detected;Based on the storage amount of each aggregate in cold material, the content of each aggregate in cold material is determined;Based on the content of each aggregate in cold material, a cold material data model is constructed.Solve the problem that there is no scientific cold material feeding basis in the prior art to improve the accuracy of cold material bin feeding control.By transporting the cold material in target cold material bin to multiple aggregate bins, detecting the storage amount of each aggregate in cold material in corresponding aggregate bin, and then obtaining the content of each aggregate in cold material, a cold material data model containing the content of each aggregate in cold material is constructed, which can provide a more scientific basis for cold material feeding, thereby improving the accuracy of cold material feeding control.

Description

Technical Field

[0001] This invention relates to the field of mechanical control technology, and in particular to a cold material processing method and apparatus, and an asphalt mixing plant. Background Technology

[0002] An asphalt mixing plant is a complete set of equipment used for the mass production of asphalt concrete.

[0003] In existing technologies, the condition of cold aggregate in each cold aggregate bin during asphalt mixing plant loading can only be roughly judged based on changes in aggregate level in the aggregate bins after loading or manual confirmation, resulting in inaccurate loading control of the cold aggregate bins. Therefore, existing technologies lack a scientific basis for cold aggregate loading to improve the accuracy of cold aggregate bin loading control. Summary of the Invention

[0004] This invention provides a cold material processing method and apparatus, as well as an asphalt mixing plant, to address the deficiency in the prior art of lacking a scientific basis for cold material feeding to improve the accuracy of cold material silo feeding control. It realizes the construction of a cold material data model that can quantitatively reflect the condition of cold material, and can provide a more scientific basis for cold material feeding, thereby improving the accuracy of cold material feeding control.

[0005] This invention provides a cold material processing method, comprising:

[0006] The cold material in the target cold material bin is transported to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0007] The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected;

[0008] The content of each aggregate in the cold material is determined based on the storage amount of each aggregate in the cold material;

[0009] A cold material data model is constructed based on the content of each of the aggregates in the cold material.

[0010] According to a cold material processing method provided by the present invention, the step of detecting the storage amount of each aggregate in the cold material in the corresponding aggregate bin includes:

[0011] Using a weighing scale, the weight of each aggregate in the cold material in its corresponding aggregate bin is measured;

[0012] Alternatively, a level gauge can be used to detect the level value of each aggregate in the cold material in the corresponding aggregate bin.

[0013] According to a cold material handling method provided by the present invention, the step of conveying cold material in a target cold material bin to multiple aggregate bins includes:

[0014] The cold material in the target cold material bin is transported to multiple aggregate bins according to a preset feeding time or a preset feeding total amount.

[0015] According to a cold material handling method provided by the present invention, the step of conveying cold material in a target cold material bin to multiple aggregate bins includes:

[0016] The cold material in the target cold material bin is conveyed to a screen, and the aggregates in the cold material are screened into the corresponding aggregate bins through the screen.

[0017] According to a cold material processing method provided by the present invention, determining the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material includes:

[0018] The total storage amount is obtained by summing the storage amounts of each aggregate.

[0019] The content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.

[0020] According to a cold material processing method provided by the present invention, the step of constructing a cold material data model based on the content of each aggregate in the cold material includes:

[0021] The content of each aggregate in the cold material is sorted;

[0022] Based on the sorting results, the cold material data model is constructed.

[0023] According to a cold material handling method provided by the present invention, before conveying the cold material in the target cold material bin to multiple aggregate bins, the method further includes:

[0024] For multiple cold storage bins, one cold storage bin is selected as the target cold storage bin in a preset order.

[0025] According to a cold material processing method provided by the present invention, the cold material data model includes the correspondence between the cold material, each aggregate in the cold material, and the content of each aggregate.

[0026] The present invention also provides a cold material processing apparatus, comprising:

[0027] A cold material conveying module is used to convey cold material in a target cold material bin to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin;

[0028] An aggregate detection module is used to detect the storage amount of each aggregate in the cold material in the corresponding aggregate bin;

[0029] A content determination module is used to determine the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material;

[0030] The model building module is used to build a cold material data model based on the content of each of the aggregates in the cold material.

[0031] The present invention also provides an asphalt mixing plant, including an asphalt mixing plant body and a controller, the controller being used to implement the cold material processing method as described above.

[0032] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the cold material processing method as described above.

[0033] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the cold material processing method as described above.

[0034] The cold material processing method provided by this invention involves transporting the cold material in the target cold material bin to multiple aggregate bins. Each aggregate enters its corresponding aggregate bin, and the storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected to obtain the content of each aggregate in the cold material. This allows for the construction of a cold material data model that includes the content of each aggregate in the cold material. This cold material data model can quantitatively reflect the condition of the cold material and provide a more scientific basis for cold material feeding, thereby improving the accuracy of cold material feeding control. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0036] Figure 1 This is one of the flowcharts of the cold material processing method provided by the present invention;

[0037] Figure 2 This is a schematic diagram of the material feeding control system provided by the present invention;

[0038] Figure 3 This is the second schematic diagram of the cold material processing method provided by the present invention;

[0039] Figure 4 This is a schematic diagram of the cold material processing device provided by the present invention;

[0040] Figure 5This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0041] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0042] This invention provides a cold material processing method, which can be applied to cold material processing equipment or its software and / or hardware. For example, it can be applied to an asphalt mixing plant and executed by the software and / or hardware in the asphalt mixing plant. For example, it can be executed by a controller that can control various parts of the asphalt mixing plant's feeding control system. The controller can be, but is not limited to, a programmable logic controller (PLC) or a microcontroller.

[0043] The following is combined with Figures 1 to 3 The cold material processing method of the present invention is described.

[0044] Figure 1 This is one of the flowcharts of the cold material processing method provided by the present invention.

[0045] like Figure 1 As shown, this embodiment provides a cold material processing method, which includes at least the following steps:

[0046] Step 101: The cold material in the target cold material bin is transported to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0047] Step 102: Detect the storage amount of each aggregate in the cold material in the corresponding aggregate bin.

[0048] Step 103: Determine the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material.

[0049] Step 104: Construct a cold material data model based on the content of each aggregate in the cold material.

[0050] The cold feed silo is used to store cold feed, which typically contains aggregates of different particle sizes. Each aggregate silo can store aggregates of different particle sizes. The cold feed from the cold feed silo is transported to multiple aggregate silos, where each aggregate can enter the silo corresponding to its particle size. At this point, the aggregates in each silo originate from the same type of cold feed. The amount of aggregate stored in each silo reflects the distribution of that type of cold feed across the aggregates. Therefore, based on the storage amount of each aggregate in the cold feed, the content of each aggregate in the cold feed is determined, and a cold feed data model is constructed. This cold feed data model includes the content of each aggregate in the cold feed. For example, the aggregate content can be the weight ratio of the aggregate in the cold feed, or the volume ratio of the aggregate in the cold feed, etc. It should be noted that there are no other aggregates in the aggregate silos before the cold feed from the cold feed silo enters the aggregate silos.

[0051] The target cold silo is the cold silo in which the content of each aggregate in the cold silo to be determined is currently.

[0052] The cold material data model may include the cold material, the corresponding relationships between each aggregate in the cold material and the content of each aggregate.

[0053] Since the constructed cold material data model contains the content of each aggregate in the cold material, it can quantitatively reflect the condition of the cold material and provide a data basis for judging the type of cold material. This provides a more scientific basis for both manual and automatic feeding of cold material and improves the accuracy of feeding control.

[0054] In this embodiment, the cold material in the target cold material bin is transported to multiple aggregate bins, where each aggregate enters its corresponding aggregate bin. The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected, thereby obtaining the content of each aggregate in the cold material. This allows the construction of a cold material data model that includes the content of each aggregate in the cold material. This cold material data model can quantitatively reflect the condition of the cold material and provide a more scientific basis for feeding the cold material, thereby improving the accuracy of cold material feeding control.

[0055] Based on the above embodiments, the step of conveying the cold material in the target cold material bin to multiple aggregate bins includes: conveying the cold material in the target cold material bin to a screen, and using the screen to separate the aggregates in the cold material into the corresponding aggregate bins. The screen has a screening function, used to separate the cold material into aggregates of different particle sizes, and then store them separately in aggregate bins of the corresponding particle sizes. The screen can be a vibrating screen. In this way, the aggregates in the cold material can be accurately distinguished.

[0056] Both cold aggregate bins and aggregate bins are existing components of an asphalt mixing plant. Therefore, cold aggregate from the cold aggregate bins can be transported to the various aggregate bins within the asphalt mixing plant. For example... Figure 2The asphalt mixing plant's feeding control system shown includes a controller, multiple cold aggregate bins and multiple aggregate bins, multiple motors (denoted by M in the figure) connected one-to-one with the cold aggregate bins, multiple frequency converters electrically connected one-to-one with the motors, multiple feeding belts corresponding to the cold aggregate bins, and corresponding conveyor belts, rollers, elevators, and screens (such as vibrating screens). The controller is electrically connected to each frequency converter. The figure illustrates six cold aggregate bins, numbered 1, 2, 3, 4, 5, and 6, and six aggregate bins, also numbered 1, 2, 3, 4, 5, and 6.

[0057] Based on this, the controller can control the speed of the motor by controlling the frequency of the frequency converter, so that the cold material in the cold material bin enters the vibrating screen through the feeding belt, conveyor belt, roller, and elevator. The vibration of the vibrating screen will further divide the cold material into aggregates of different particle sizes, which will then enter the corresponding aggregate bins.

[0058] Based on this feeding control system, cold aggregate in the cold aggregate bin can be transported to multiple aggregate bins. In this way, the cold aggregate data model can be automatically constructed using existing asphalt mixing plants, without the need for other specialized equipment. The operation is simple and has strong applicability.

[0059] In existing technologies, cold aggregate feeding in asphalt mixing plants is manually controlled. Operators are far from the cold aggregate bins, and the type of cold aggregate in each bin can only be determined by changes in aggregate levels after feeding or by manual confirmation. Operation also relies on previous experience to determine feeding frequency and type, lacking a scientific, data-driven basis for cold aggregate feeding. Furthermore, the composition of cold aggregate varies due to factors such as the origin of raw materials from different geological regions. Relying solely on experience is not replicable between cold aggregate from different areas, significantly impacting feeding accuracy. In contrast, this invention provides a scientific data analysis of the cold aggregate, establishing a cold aggregate data model that provides a data foundation for cold aggregate feeding. This model accurately reflects the condition of the cold aggregate, leading to accurate feeding.

[0060] In an exemplary embodiment, the specific implementation of conveying the cold material in the target cold material bin to multiple aggregate bins may include: conveying the cold material in the target cold material bin to multiple aggregate bins according to a preset feeding time or a preset feeding total amount.

[0061] Considering that the main objective of this embodiment is to obtain the content of each aggregate in the cold material in the target cold material bin, continuous feeding is unnecessary. It is sufficient to accurately analyze the content of each aggregate in the cold material, thus improving processing efficiency. Based on this, this embodiment provides two methods for conveying cold material to multiple aggregate bins. One method is to continuously feed for a preset feeding time and then stop feeding. The other method is to feed according to a preset feeding total, stopping feeding once this preset total is reached. For the method of feeding according to the preset feeding total, the preset feeding total amount of cold material can be pre-weighed and placed into the cold material bin. Both the preset feeding time and the preset feeding total can be set based on empirical statistics and are not specifically limited here.

[0062] In an exemplary embodiment, the detection of the storage amount of each aggregate in the cold material in the corresponding aggregate bin can be specifically implemented by: using a weighing scale to detect the weight of each aggregate in the cold material in the corresponding aggregate bin; or using a level gauge to detect the level value of each aggregate in the cold material in the corresponding aggregate bin. Figure 2 The feeding control system shown has a corresponding weighing scale for each aggregate bin. Aggregates from each bin are sequentially unloaded onto the weighing scale, which measures the weight of the unloaded aggregate as the storage quantity, resulting in w1, w2, w3, w4, w5, w6, ... w n w n This represents the weight of aggregate in bin n out of n aggregate bins. Alternatively, the level gauge in each aggregate bin can be used. Figure 2 The bar-shaped structure in the aggregate bin is used to detect the aggregate level, which is then used as the storage capacity, resulting in L1, L2, L3, L4, L5, L6…L n L n This represents the aggregate level value in aggregate bin n out of n aggregate bins. The aggregate level value reflects the volume of the aggregate.

[0063] Accordingly, based on the storage amount of each aggregate in the cold feed, the content of each aggregate in the cold feed can be determined. This can be achieved by: summing the storage amounts of each aggregate to obtain the total storage amount; and determining the content of each aggregate based on the ratio of the storage amount of each aggregate to the total storage amount.

[0064] In practical applications, the ratio of aggregate storage to total storage can be directly used as the aggregate content.

[0065] If the storage quantity of aggregate is equal to the weight of aggregate, then the content A of the k-th aggregate among the n types of aggregate in the cold aggregate is... k =w k / (w1+w2+w3+w4+w5+w6+…+w n ), 1≤k≤n, wk Let be the weight of the k-th type of aggregate. Based on this, the aggregate content is the weight percentage of the aggregate.

[0066] If the aggregate storage quantity is equal to the aggregate level value, then the content A of the k-th aggregate among the n types of aggregates in the cold aggregate is... k =L k / (L1+L2+L3+L4+L5+L6+…+L n ), 1≤k≤n,L k Let be the level value of the k-th aggregate. Based on this, the aggregate content is the volume ratio of the aggregate.

[0067] Of course, the ratio of aggregate storage to total storage can also be multiplied by a set coefficient to obtain the aggregate content.

[0068] In this way, the storage amount of each aggregate can be accurately obtained by using the existing weighing scales and level gauges in the asphalt mixing plant, and thus the content of each aggregate in the cold aggregate can be accurately obtained.

[0069] In an exemplary embodiment, before conveying the cold material in the target cold silo to multiple aggregate silos, the cold material processing method of this embodiment may further include: selecting one cold silo as the target cold silo in a preset order from among the multiple cold silos.

[0070] In practical applications, various cold materials can be stored in multiple cold material bins. Based on this, the content of each aggregate in each cold material can be determined. A cold material data model can be constructed based on the aggregate contents of the cold materials from multiple cold material bins. This cold material data model records the number of each cold material and the corresponding aggregate number and content. In this way, a comprehensive cold material data model containing the aggregate contents of various cold materials can be quickly obtained.

[0071] based on Figure 2 The feeding control system shown, for example, can first select cold material bin No. 1 out of 6 cold material bins as the target cold material bin, and then feed the cold material No. 1 into multiple aggregate bins according to a preset feeding time and preset feeding speed. Then, feeding is stopped, and the content of each aggregate in the cold material No. 1 of cold material bin No. 1 is obtained. Then, cold material bin No. 2 is selected as the target cold material bin, and the cold material No. 2 of cold material bin No. 2 is fed into multiple aggregate bins according to a preset feeding time and preset feeding speed. This process is repeated until all 6 cold material bins are selected, and the content of each aggregate in the cold material of the 6 cold material bins is obtained, thereby completing the automatic construction of the cold material database.

[0072] In an exemplary embodiment, the construction of a cold material data model based on the content of each aggregate in the cold material can be specifically implemented by: sorting the content of each aggregate in the cold material; and constructing the cold material data model based on the sorting result. The cold material data model obtained after sorting the content of each aggregate in the cold material clearly reflects the sorting of the aggregate content, making querying more convenient. For example, the content (weight ratio or volume ratio) of each aggregate in each type of cold material is arranged in descending order. The following example illustrates this. As shown in Table 1, the cold material data model uses six types of cold materials, numbered 1 to 6. Each type of cold material includes the content of aggregate 1, aggregate 2, aggregate 3, ..., the content of aggregate Amin_1, where min_1 represents the aggregate with the smallest content, and Amin_1 represents the content of the aggregate with the smallest content.

[0073] Since some cold feed materials are mainly composed of certain types of aggregates with relatively high content, while the content of other aggregates is relatively low, their impact on the feeding speed is small. Therefore, the influence of these aggregates can be ignored, allowing us to focus on the main aggregates and simplify the cold feed data model by identifying the aggregates with the highest content in the cold feed material. Based on this, after constructing the cold feed data model, we can further include: identifying at least one aggregate with the highest content in the cold feed material to obtain a simplified cold feed data model. The simplified cold feed data model is shown in Table 2, illustrated with six types of cold feed materials, numbered 1 to 6, each corresponding to three aggregates with the highest content.

[0074] Table 1 Cold Material Data Model

[0075]

[0076] Table 2 Simplified Cold Material Data Model

[0077]

[0078] The following section provides a more detailed description of a feeding control method provided by an embodiment of the present invention, using a specific application scenario as an example.

[0079] In practical applications, cold materials that need to be processed must be kept dry to meet the screening requirements of the screen.

[0080] based on Figure 2 The system shown initiates the following cold material handling process via the controller:

[0081] Starting from the first cold storage bin (cold storage bin 1 in the diagram), see... Figure 3The first step involves the controller controlling the frequency of the inverter corresponding to the cold material hopper, causing the corresponding motor to start feeding the cold material hopper at a certain speed and for a preset feeding time. The cold material from the hopper passes sequentially through the feeding belt, conveyor belt, rollers, and elevator to the vibrating screen. The vibrating screen further subdivides the cold material according to particle size, ensuring that aggregates of each size enter the corresponding aggregate bins. Feeding stops after the preset feeding time is met. The cold material then enters the elevator through the discharge port of the rollers.

[0082] The second step involves the controller sequentially unloading the aggregates from each aggregate bin onto the weighing scale, and then using the weighing scale to collect the weights of each type of aggregate: w1, w2, w3, w4, w5, w6, ... w n Calculate the content of each type of aggregate, and the content A of the k-th aggregate. k =w k / (w1+w2+w3+w4+w5+w6+…+w n Alternatively, level gauges (such as continuous level gauges) in each aggregate bin can be used to detect the aggregate level in the bins, obtaining L1, L2, L3, L4, L5, L6…L n The content A of the kth aggregate k =L k / (L1+L2+L3+L4+L5+L6+…+L n ).

[0083] The third step is to sort the content of each aggregate in the cold feed from largest to smallest and record the sorted aggregate number sequence and the corresponding aggregate content sequence; combine the sorted aggregate number sequence and the corresponding aggregate content sequence to obtain the content of each aggregate in a cold feed, that is, the composition table of a cold feed.

[0084] The fourth step is to determine whether the weight or level of aggregates in all cold silos has been collected. If so, combine the composition tables of each type of cold material to form a cold material data model. Otherwise, perform the first step for the next cold silo.

[0085] In this way, all cold aggregate in the cold aggregate bins is loaded and collected. The composition analysis of aggregates in the cold aggregate is performed using existing equipment at the asphalt mixing plant, requiring no other specialized equipment. The operation is simple and highly scalable. The cold aggregate data model contains the content of each aggregate in the cold aggregate, providing a scientific data basis for both manual and automated loading. Different types of cold aggregate can be decomposed into the aggregate content in the cold aggregate data model, without limitations on the type or region of cold aggregate, and is minimally affected by raw materials and the environment.

[0086] The cold material processing apparatus provided by the present invention will be described below. The cold material processing apparatus described below can be referred to in correspondence with the cold material processing method described above.

[0087] Figure 4 This is a schematic diagram of the cold material processing device provided by the present invention.

[0088] like Figure 4 As shown, this embodiment provides a cold material processing apparatus, comprising:

[0089] The cold material conveying module 401 is used to convey the cold material in the target cold material bin to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0090] The aggregate detection module 402 is used to detect the storage amount of each aggregate in the cold material in the corresponding aggregate bin;

[0091] Content determination module 403 is used to determine the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material;

[0092] The model building module 404 is used to build a cold material data model based on the content of each of the aggregates in the cold material.

[0093] In this embodiment, the cold material in the target cold material bin is transported to multiple aggregate bins, where each aggregate enters its corresponding aggregate bin. The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected, thereby obtaining the content of each aggregate in the cold material. This allows the construction of a cold material data model that includes the content of each aggregate in the cold material. This cold material data model can quantitatively reflect the condition of the cold material and provide a more scientific basis for feeding the cold material, thereby improving the accuracy of cold material feeding control.

[0094] In an exemplary embodiment, the aggregate detection module 402 is specifically used for:

[0095] Using a weighing scale, the weight of each aggregate in the cold material in its corresponding aggregate bin is measured;

[0096] Alternatively, a level gauge can be used to detect the level value of each aggregate in the cold material in the corresponding aggregate bin.

[0097] In an exemplary embodiment, the cold material conveying module 401 is specifically used for:

[0098] The cold material in the target cold material bin is transported to multiple aggregate bins according to a preset feeding time or a preset feeding total amount.

[0099] Cold material conveying module 401 is specifically used for:

[0100] The cold material in the target cold material bin is conveyed to a screen, and the aggregates in the cold material are screened into the corresponding aggregate bins through the screen.

[0101] In an exemplary embodiment, the content determination module 403 is specifically used for:

[0102] The total storage amount is obtained by summing the storage amounts of each aggregate.

[0103] The content of each aggregate is determined based on the ratio of the storage amount of each aggregate to the total storage amount.

[0104] In an exemplary embodiment, the model building module 404 is specifically used for:

[0105] The content of each aggregate in the cold material is sorted;

[0106] Based on the sorting results, the cold material data model is constructed.

[0107] The cold material conveying module 401 is also used for:

[0108] For multiple cold storage bins, one cold storage bin is selected as the target cold storage bin in a preset order.

[0109] In an exemplary embodiment, the cold material data model includes the correspondence between the cold material, each of the aggregates in the cold material, and the content of each aggregate.

[0110] The present invention also provides an asphalt mixing plant, including an asphalt mixing plant body and a controller, wherein the controller is used to implement the cold material processing method provided in any of the above embodiments.

[0111] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5 As shown, the electronic device may include: a processor 510, a communication interface 520, a memory 530, and a communication bus 540, wherein the processor 510, the communication interface 520, and the memory 530 communicate with each other via the communication bus 540. The processor 510 can call logical instructions in the memory 530 to execute a cold material processing method, which includes:

[0112] The cold material in the target cold material bin is transported to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0113] The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected;

[0114] The content of each aggregate in the cold material is determined based on the storage amount of each aggregate in the cold material;

[0115] A cold material data model is constructed based on the content of each of the aggregates in the cold material.

[0116] Furthermore, the logical instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0117] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program stored on a non-transitory computer-readable storage medium, the computer program comprising program instructions, wherein when the program instructions are executed by a computer, the computer is able to perform the cold material processing method provided by the above methods, the method comprising:

[0118] The cold material in the target cold material bin is transported to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0119] The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected;

[0120] The content of each aggregate in the cold material is determined based on the storage amount of each aggregate in the cold material;

[0121] A cold material data model is constructed based on the content of each of the aggregates in the cold material.

[0122] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to perform the cold material processing methods provided above, the method comprising:

[0123] The cold material in the target cold material bin is transported to multiple aggregate bins, wherein each aggregate in the cold material enters its corresponding aggregate bin.

[0124] The storage amount of each aggregate in the cold material in the corresponding aggregate bin is detected;

[0125] The content of each aggregate in the cold material is determined based on the storage amount of each aggregate in the cold material;

[0126] A cold material data model is constructed based on the content of each of the aggregates in the cold material.

[0127] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0128] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A cold feed process, characterized by, The method comprises the following steps: delivering the cold material in a target cold material bin to a plurality of aggregate bins according to a preset feeding duration or a preset feeding total amount, wherein the cold material in the target cold material bin is delivered to a screen, and each aggregate in the cold material is screened to a corresponding aggregate bin through the screen; detecting the storage amount of each aggregate in the cold material in the corresponding aggregate bin; determining the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material; sorting the content of each aggregate in the cold material, and constructing a cold material data model based on the sorting result, wherein the cold material data model comprises the corresponding relationship among the cold material, each aggregate in the cold material, and the content of each aggregate; obtaining at least one aggregate with the highest content in the cold material to obtain a simplified cold material data model, which is used as a basis for cold material feeding; the determination of the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material comprises: summing up the storage amount of each aggregate to obtain a total storage amount; determining the content of each aggregate based on the ratio of the storage amount of each aggregate to the total storage amount.

2. The cold feed treatment method according to claim 1, characterized by, The detection of the storage amount of each aggregate in the cold material in the corresponding aggregate bin comprises: detecting the weight of each aggregate in the cold material in the corresponding aggregate bin by using a metering scale; or, detecting the material level value of each aggregate in the cold material in the corresponding aggregate bin by using a material level meter.

3. The cold feed process of claim 1 wherein, Before the delivery of the cold material in the target cold material bin to the plurality of aggregate bins according to the preset feeding duration or the preset feeding total amount, the method further comprises the following step: selecting a cold material bin as the target cold material bin in turn according to a preset order for a plurality of cold material bins.

4. A cold feed treatment device characterized by, The method comprises the following steps: a cold material delivery module for delivering the cold material in a target cold material bin to a plurality of aggregate bins according to a preset feeding duration or a preset feeding total amount, wherein the cold material in the target cold material bin is delivered to a screen, and each aggregate in the cold material is screened to a corresponding aggregate bin through the screen; an aggregate detection module for detecting the storage amount of each aggregate in the cold material in the corresponding aggregate bin; a content determination module for determining the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material; a model construction module for sorting the content of each aggregate in the cold material, and constructing a cold material data model based on the sorting result, wherein the cold material data model comprises the corresponding relationship among the cold material, each aggregate in the cold material, and the content of each aggregate; obtaining at least one aggregate with the highest content in the cold material to obtain a simplified cold material data model, which is used as a basis for cold material feeding; the content determination module is specifically configured to sum up the storage amount of each aggregate to obtain a total storage amount, and determine the content of each aggregate based on the ratio of the storage amount of each aggregate to the total 5. An asphalt plant comprising an asphalt plant body and a controller, characterised in that, The controller is configured to implement the cold material processing method according to any one of claims 1 to 3.

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