WO2023178827A1 - Procédé et appareil de commande d'alimentation, et station d'agitation d'asphalte - Google Patents

Procédé et appareil de commande d'alimentation, et station d'agitation d'asphalte Download PDF

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Publication number
WO2023178827A1
WO2023178827A1 PCT/CN2022/095564 CN2022095564W WO2023178827A1 WO 2023178827 A1 WO2023178827 A1 WO 2023178827A1 CN 2022095564 W CN2022095564 W CN 2022095564W WO 2023178827 A1 WO2023178827 A1 WO 2023178827A1
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cold
aggregate
bin
speed
cold material
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PCT/CN2022/095564
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English (en)
Chinese (zh)
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罗洪源
任水祥
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常德市三一机械有限公司
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Publication of WO2023178827A1 publication Critical patent/WO2023178827A1/fr

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    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C19/00Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
    • E01C19/02Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for preparing the materials
    • E01C19/10Apparatus or plants for premixing or precoating aggregate or fillers with non-hydraulic binders, e.g. with bitumen, with resins, i.e. producing mixtures or coating aggregates otherwise than by penetrating or surface dressing; Apparatus for premixing non-hydraulic mixtures prior to placing or for reconditioning salvaged non-hydraulic compositions
    • E01C19/1059Controlling the operations; Devices solely for supplying or proportioning the ingredients
    • E01C19/1068Supplying or proportioning the ingredients
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B28WORKING CEMENT, CLAY, OR STONE
    • B28CPREPARING CLAY; PRODUCING MIXTURES CONTAINING CLAY OR CEMENTITIOUS MATERIAL, e.g. PLASTER
    • B28C7/00Controlling the operation of apparatus for producing mixtures of clay or cement with other substances; Supplying or proportioning the ingredients for mixing clay or cement with other substances; Discharging the mixture
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B65CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
    • B65GTRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
    • B65G65/00Loading or unloading
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C19/00Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
    • E01C19/02Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for preparing the materials
    • EFIXED CONSTRUCTIONS
    • E01CONSTRUCTION OF ROADS, RAILWAYS, OR BRIDGES
    • E01CCONSTRUCTION OF, OR SURFACES FOR, ROADS, SPORTS GROUNDS, OR THE LIKE; MACHINES OR AUXILIARY TOOLS FOR CONSTRUCTION OR REPAIR
    • E01C19/00Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving
    • E01C19/02Machines, tools or auxiliary devices for preparing or distributing paving materials, for working the placed materials, or for forming, consolidating, or finishing the paving for preparing the materials
    • E01C19/10Apparatus or plants for premixing or precoating aggregate or fillers with non-hydraulic binders, e.g. with bitumen, with resins, i.e. producing mixtures or coating aggregates otherwise than by penetrating or surface dressing; Apparatus for premixing non-hydraulic mixtures prior to placing or for reconditioning salvaged non-hydraulic compositions

Definitions

  • This application relates to the field of mechanical control technology, and in particular to a feeding control method and device, and an asphalt mixing station.
  • Asphalt mixing plant is a complete set of equipment used for batch production of asphalt concrete.
  • the main feeding operation of the asphalt mixing station is manually operated by the operator.
  • the feeding speed of the cold silo needs to be controlled by the operator based on manual experience. This method of relying on manual experience to control the feeding speed of the cold silo is not precise.
  • This application provides a feeding control method and device, as well as an asphalt mixing station, to solve the defect in the existing technology that relies on manual experience to control the feeding speed of the cold silo, and to realize the loading of each cold silo.
  • the speed is accurately controlled automatically and independently, with higher reliability.
  • This application provides a feeding control method, including:
  • each cold material bin is used to supply material to each aggregate bin;
  • the cold material data model includes the cold material data of each cold material bin. The content of each aggregate in the material;
  • the loading of each cold silo is controlled.
  • the target loading speed of each cold material bin is determined based on the cold material data model, including:
  • the target feeding speed of each cold silo is determined.
  • calculating the current feeding speed of each cold feed bin based on the cold feed data model includes:
  • the unloading speed and material level change rate of each aggregate bin is calculated.
  • the current feeding speed of each cold material bin is calculated based on the cold material data model, the unloading speed and the material level change rate of each aggregate bin.
  • each aggregate bin For each aggregate bin, obtain the cold material supply priority corresponding to the aggregate in the aggregate bin, and determine at least one of the cold material supply priorities for the aggregate bin based on the cold material supply priority.
  • the cold material bin with the highest priority of cold material in the cold material bin is based on the unloading speed and material level change rate of the aggregate bin and the cold material of the cold material bin with the highest priority.
  • the aggregate content in the aggregate bin determines the current feeding speed of the cold material bin with the highest priority;
  • the cold material supply priority is determined according to the aggregate content of the aggregate bin in the cold material of each cold material bin, and the aggregate content of the aggregate bin in the cold material of the cold material bin. The greater the material content, the higher the priority of the cold material in the cold material bin.
  • the said aggregate bin is based on the discharging speed and material level change rate of the aggregate bin and the cold material of the cold bin with the highest priority.
  • the content of the aggregate determines the current feeding speed of the cold silo with the highest priority, including:
  • the current feeding speed of the cold hopper with the highest priority is determined.
  • the method is based on the unloading speed of the aggregate bin and the aggregate content of the aggregate bin in the cold material of the cold bin with the highest priority. , determine the first speed corresponding to the cold silo with the highest priority, including:
  • the cold material with the highest priority is determined based on the ratio of the unloading speed of the aggregate bin to the aggregate content of the cold material in the cold material bin with the highest priority.
  • a feeding control method provided by this application, it also includes:
  • Determining, based on the cold material supply priority, the cold material silo with the highest priority of cold material in at least one of the cold material silos supplying the aggregate silo including:
  • the available cold material bin is the cold material bin whose material level value is greater than the preset material level value and/or the supply status indicates that the material is available .
  • obtaining the discharging speed of each aggregate bin includes:
  • the unloading speed of each of the aggregate bins is obtained.
  • the preset material level interval includes a first material level interval, a second material level interval and a third material level interval in which the material level value increases in sequence;
  • Determining the target feeding speed of each cold silo based on the current feeding speed of each cold silo and the comparison results includes:
  • the current feeding speed of at least one of the cold material bins that supplies materials to the aggregate bin is increased to obtain the The target feeding speed of at least one of the cold silos supplied by the silos;
  • the current feeding speed of at least one cold material silo that supplies material to the aggregate silo will be used as the supply speed for the aggregate silo.
  • the current feeding speed of at least one of the cold material bins that supplies materials to the aggregate bin is reduced to obtain the The target feeding speed of at least one of the cold silos supplied by the aggregate silo.
  • determining the target feeding speed of each cold silo based on the current feeding speed of each cold silo and the result of each comparison also includes:
  • the aggregate supply priority is determined according to the demand for aggregates in each of the aggregate bins. The greater the demand for aggregates in the aggregate bins, the higher the demand for aggregates in the aggregate bins. The higher the priority of the aggregate;
  • the target feeding speed of at least one cold silo that supplies at least one aggregate silo with the lowest priority is reduced so that the total speed is less than or equal to the preset speed upper limit.
  • the demand for aggregates in each aggregate bin is determined based on the proportion of each aggregate in the production formula.
  • This application also provides a feeding control device, including:
  • the speed determination module is used to determine the target feeding speed of each cold material bin based on the cold material data model; each cold material bin is used to supply material to each aggregate bin; the cold material data model includes each Describe the content of each aggregate in the cold material in the cold material bin;
  • a loading control module is used to control the loading of each cold silo based on the target loading speed of each cold silo.
  • This application also provides an asphalt mixing station, including an asphalt mixing station body and a controller, and the controller is used to implement any of the above feeding control methods.
  • This application also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor.
  • the processor executes the program, it implements any one of the above mentioned feeding controls. method.
  • This application also provides a non-transitory computer-readable storage medium on which a computer program is stored.
  • a computer program is stored on which a computer program is stored.
  • the computer program is executed by a processor, any one of the above feeding control methods is implemented.
  • the present application also provides a computer program product, which includes a computer program.
  • a computer program product which includes a computer program.
  • the computer program When executed by a processor, it implements any one of the above feeding control methods.
  • the material loading control method and cold material data model provided by this application can provide the content of each aggregate contained in the cold material in the cold material silo, and can accurately reflect the differences in the composition of different cold materials, providing a basis for the loading of the cold material silo.
  • Speed control provides a data basis. Based on the cold material data model, the target feeding speed of each cold material bin can be determined, and then the loading of each cold material bin can be automatically controlled, which solves the problem of relying on manual experience to control the cold material bin in the existing technology. The problem of inaccurate feeding speed has been realized.
  • the feeding speed of each cold material bin can be accurately and automatically controlled independently, with higher reliability.
  • the feeding speed of multiple cold silos can be quickly adjusted in real time, and the control is more timely, avoiding shortages or overflows, thereby improving production efficiency. , reducing losses and lowering costs.
  • FIG 1 is one of the flow diagrams of the feeding control method provided by this application.
  • FIG. 2 is a schematic structural diagram of the feeding control system provided by this application.
  • FIG. 3 is the second schematic flow chart of the feeding control method provided by this application.
  • FIG. 4 is a schematic structural diagram of the feeding control device provided by this application.
  • Figure 5 is a schematic structural diagram of an electronic device provided by this application.
  • the method of controlling the loading speed of cold material in the cold material silo based on manual experience is not accurate and prone to errors. Because the cold material silo is far away from the operation room, it is impossible to accurately judge the situation of the cold material silo in a timely manner. In various situations, When cold materials are loaded at the same time, the operation will be restricted. It is not easy to quickly adjust the feeding speed of various cold material bins. It is easy to cause shortage or overflow caused by untimely loading, which reduces production efficiency. Increase losses, thereby increasing costs.
  • cold material silos some manufacturers require cold material silos to be fixed when loading cold materials.
  • the cold material system has 6 cold material silos, and each cold material warehouse stores different cold materials.
  • the six cold materials are individually numbered. That is, 1# cold material, 2# cold material, 3# cold material, 4# cold material, 5# cold material and 6# cold material.
  • 6 aggregate bins are set up to store 1# to 6# aggregates respectively. , when the 1# aggregate is missing, start the 1# cold material loading, when the 2# aggregate is missing, start the 2# cold material loading, and so on. This method is inflexible and requires that the number of the cold material strictly corresponds to the number of the aggregate.
  • this application provides a cold material loading method that accurately realizes automatic control of the target feeding speed of each cold material bin. It can be applied to asphalt mixing stations and executed by the software and/or hardware in the asphalt mixing stations. , exemplarily, it can be executed by a controller, which can control various parts of the material loading control system.
  • the controller can be, but is not limited to, a programmable logic controller (Programmable Logic Controller, PLC) or a single-chip microcomputer.
  • FIG 1 is one of the flow diagrams of the feeding control method provided by this application.
  • this embodiment provides a feeding control method, which at least includes:
  • Step 101 Based on the cold material data model, determine the target feeding speed of each cold material bin; each cold material bin is used to supply materials to each aggregate bin; the cold material data model includes each cold material in each cold material bin. Aggregate content.
  • the target feeding speed is the feeding speed that needs to be controlled by the cold material bin.
  • Cold materials generally contain aggregates of different particle sizes.
  • the content of each aggregate in the cold material can be understood as the content of each aggregate contained in the cold material.
  • the content of aggregates can be the aggregate content in the cold material.
  • the weight ratio can also be the volume ratio of aggregate in cold material, etc.
  • the particle sizes of aggregates stored in each aggregate bin are different.
  • the cold material is stored in the cold material bin, and the cold material in the cold material bin can be transported to a screen (such as a vibrating screen, etc.), and then the screen will subdivide the cold material into aggregates of different particle sizes.
  • a screen such as a vibrating screen, etc.
  • These different particles Aggregates with different particle sizes can enter the aggregate silo with corresponding particle size, thereby realizing the cold material silo supplying the aggregate silo.
  • the material loading control system shown in Figure 2 includes a host computer (such as a computer), a controller electrically connected to the host machine, multiple cold material bins and multiple aggregate bins, together with the multiple cold material bins.
  • a plurality of motors (indicated by M in the figure) connected in a one-to-one manner, a plurality of frequency converters electrically connected to a plurality of motors in a one-to-one correspondence, a plurality of feeding belts corresponding to a plurality of cold material silos, and multiple Each feeding belt corresponds to the conveyor belt, roller, elevator and vibrating screen.
  • the controller is electrically connected to each frequency converter.
  • the figure shows 6 cold material silos and they are numbered, namely No. 1 cold material silo, No.
  • the bins are represented by 6 aggregate bins and are numbered, namely No. 1 aggregate bin, No. 2 aggregate bin, No. 3 aggregate bin, No. 4 aggregate bin, No. 5 aggregate bin and No. 6 aggregate bin. warehouse.
  • the controller can control the speed of the motor by controlling the frequency of the frequency converter, thereby controlling the loading speed of the cold material bin, and passing the cold material in the cold material bin into vibration through the feeding belt, conveyor belt, roller, and elevator.
  • Screen through the vibration of the vibrating screen, the cold material is subdivided into aggregates of different particle sizes and enters the aggregate bin of corresponding particle sizes. Among them, the cold material enters the elevator through the discharge port of the drum.
  • the cold material data model can be obtained first.
  • the pre-stored cold material data model can be obtained locally, or through The cold material data model stored in the cloud can be downloaded online, and the cold material data model input manually can also be obtained.
  • the above cold material data model can be stored in the local host computer.
  • the controller can obtain the cold material data model from the host computer.
  • Step 102 Control the loading of each cold silo based on the target loading speed of each cold silo.
  • the cold material data model can provide the content of each aggregate contained in the cold material in the cold material silo, can accurately reflect the differences in the composition of different cold materials, and provide a method for controlling the loading speed of the cold material silo.
  • the target feeding speed of each cold silo can be determined based on the cold material data model, and then the loading of each cold silo can be automatically controlled, which solves the problem of relying on manual experience in the existing technology to control the loading speed of the cold silo. Accurate questions realize accurate automatic independent control of the feeding speed of each cold material bin, with higher reliability.
  • the feeding speed of multiple cold silos can be quickly adjusted in real time, and the control is more timely, avoiding shortages or overflows, thereby improving production efficiency. , reducing losses and lowering costs.
  • one cold silo can supply materials to multiple aggregate silos, and one aggregate silo can also be fed by multiple cold silos. There is no need to require a certain cold silo to be fixed as When an aggregate silo supplies materials, based on the content of each aggregate contained in the cold material in the cold silo provided by the cold material data model, the feeding speed can be controlled accurately and more reliably.
  • the target feeding speed of each cold material bin is determined, as shown in Figure 3.
  • Specific implementation methods may include:
  • Step 301 Obtain the material level value of each aggregate bin.
  • a material level meter in the feeding control system, can be set in each aggregate bin (the strip structure in each aggregate bin is shown in the figure).
  • the material level meter is used to detect the level in the aggregate bin in real time.
  • the material level value is sent to the controller.
  • the controller can obtain the material level value of the aggregate bin based on the detection results of the material level meter.
  • Step 302 Calculate the current feeding speed of each cold material bin based on the cold material data model.
  • the specific implementation of this step may include: obtaining the unloading speed and material level change rate of each aggregate bin; based on the cold material data model, the unloading speed and material level change rate of each aggregate bin, calculating the Current loading speed.
  • the discharging speed of the aggregate bin can be obtained based on the weight of the aggregate measured by the weighing scale corresponding to each aggregate bin and the weighing cycle.
  • the loading control system also includes a weighing scale.
  • the weighing scale can weigh the weight of the aggregate during unloading of the aggregate bin according to the preset time period and send it to the controller. For example, the ratio of the weight of the aggregate measured by the weighing scale to the weighing cycle can be used as the discharging speed of the aggregate bin. In this way, the discharge speed of the aggregate bin can be accurately obtained.
  • the controller can also obtain the material level change rate of the aggregate bin based on the detection results of the material level meter.
  • the material level change rate is the ratio of the difference between the material level value at the current moment and the material level value at the previous moment and the time change of the two moments.
  • the unloading speed and material level change rate of each aggregate bin is calculated. Specifically, it can include: for each aggregate bin, obtain the data related to the aggregate bin.
  • the cold material supply priority corresponding to the aggregate is based on the cold material supply priority.
  • the cold material silo with the highest priority among at least one cold material silo supplying the aggregate silo is determined based on the unloading speed of the aggregate silo.
  • the current feeding speed of the cold material silo with the highest priority is determined; among them, the cold material supply priority is based on each
  • the cold material in the cold material bin is determined by the aggregate content in the aggregate bin. The greater the aggregate content in the cold material in the cold material bin, the higher the priority of the cold material in the cold material bin.
  • the cold material data model can include the corresponding relationship between the cold material, each aggregate in the cold material, and the content of each aggregate.
  • the cold material data model can contain a variety of cold materials, and the content (weight ratio or volume ratio) of each aggregate in each cold material is arranged in order from large to small.
  • the number of each cold material and the corresponding number and content of each aggregate are recorded.
  • six kinds of cold materials are represented, namely cold materials No. 1 to No. 6.
  • Each cold material includes the content of No. 1 aggregate, the content of No. 2 aggregate, the content of No. 3 aggregate, etc.
  • the content of these aggregates is relatively high, and the content of other aggregates is relatively low, which has a small impact on the feeding speed. Therefore, the influence of these aggregates can be ignored, thus Obtain the aggregates with the highest content in the cold material data model, that is, focus on the main aggregates to simplify the cold material data model.
  • the simplified cold material data model as shown in Table 2, is represented by six types of cold materials, namely cold materials No. 1 to No. 6. Each cold material corresponds to the three highest-content aggregates.
  • the aggregate content of the cold materials in each cold bin can be found from the cold material data model and sorted, and the aggregate bin is determined based on the sorting results.
  • the cold material supply priority corresponding to the aggregate is. The greater the aggregate content of the cold material in the cold material bin, the higher the priority of the cold material in the cold material bin.
  • Table 3 which shows the cold material supply priority corresponding to each aggregate from No. 1 aggregate to No. 6 aggregate.
  • the optimal cold material supply that is, the cold material with the highest priority
  • the second-best cold material supply i.e. the cold material with the second highest priority
  • the cold material supplied last i.e. the cold material with the lowest priority
  • the best The cold material supplied is No. 1 cold material
  • the second best cold material supplied is No. 3 cold material
  • the last cold material supplied is No. 2 cold material.
  • the optimal cold material supply is 2. No. 1 cold material, the second best cold material supply is No. 1 cold material, the last cold material supplied is No. 5 cold material, and so on. Based on this, for example, the cold materials supplying No. 1 aggregate to the No. 1 aggregate bin include No. 6 cold materials, No. 2 cold materials and No. 1 cold materials, then the cold materials of No. 6 cold materials with the highest priority are determined. Silo.
  • the current loading of the cold silo with the highest priority is determined based on the unloading speed and material level change rate of the aggregate silo and the aggregate content of the cold material in the cold silo with the highest priority.
  • Speed specifically can include:
  • the first step is to determine the first speed corresponding to the cold silo with the highest priority based on the unloading speed of the aggregate silo and the aggregate content of the aggregate silo in the cold silo with the highest priority.
  • the first speed corresponding to the cold silo with the highest priority can be determined based on the ratio of the unloading speed of the aggregate silo to the aggregate content of the cold silo in the cold silo with the highest priority.
  • the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the cold silo with the highest priority can be used as the first speed corresponding to the cold silo with the highest priority.
  • the ratio of the unloading speed of the aggregate silo to the aggregate content of the aggregate silo in the cold silo with the highest priority can also be multiplied by a set coefficient as the first speed corresponding to the cold silo with the highest priority.
  • the second step is to determine the second speed corresponding to the cold silo with the highest priority based on the material level change rate of the aggregate silo.
  • the material level change rate of the aggregate silo can be used as the second speed corresponding to the cold silo with the highest priority.
  • the material level change rate of the aggregate silo can also be multiplied by the set coefficient as the second speed corresponding to the highest cold silo.
  • the third step is to determine the current feeding speed of the cold silo with the highest priority based on the first speed and the second speed.
  • the current feeding speed of the cold silo with the highest priority can be determined based on the first speed and the second speed according to a preset algorithm. For example, the first speed and the second speed can be summed to obtain the current feeding speed of the cold silo with the highest priority. You can also average the first speed and the second speed to obtain the current loading speed of the cold silo with the highest priority.
  • Step 303 Compare the material level value of each aggregate bin with the preset material level interval.
  • the preset material level intervals corresponding to each aggregate bin can be preset, and the preset material level intervals corresponding to each aggregate bin can be the same or different. Since the demand for aggregates in each aggregate bin may be different, setting the preset material level interval corresponding to each aggregate bin separately will make the control more accurate. It can receive the preset material level interval input by the user, and can also automatically determine the preset material level interval based on the demand for aggregates in the production formula.
  • the production formula generally contains the required proportion of each aggregate, and the proportion of the aggregate can represent the demand for the aggregate. For example, the corresponding relationship between the demand for aggregate and the preset material level interval can be set in advance, and the preset material level interval corresponding to the demand for aggregate is determined based on the correspondence.
  • Step 304 Determine the target feeding speed of each cold silo based on the current feeding speed of each cold silo and the results of each comparison.
  • the preset material level interval may include a first material level interval, a second material level interval and a third material level interval in which the material level value increases sequentially. Then, based on the current feeding speed of each cold silo and the results of each comparison, determine the target feeding speed of each cold silo, which may include:
  • the current feeding speed of at least one cold silo supplying material to the aggregate silo is increased to obtain at least one cold silo supplying material to the aggregate silo. target feeding speed. If the material level value of the aggregate bin is within the first material level interval, it means that there is less aggregate in the aggregate bin and more aggregate needs to be added to avoid material shortage. At this time, the current feeding speed can be increased.
  • the current feeding speed of at least one cold silo supplying material to the aggregate silo will be used as the target of at least one cold silo supplying material to the aggregate silo. Feeding speed. If the material level value of the aggregate bin is within the second material level range, it means that the aggregate in the aggregate bin is more suitable and the current feeding speed can be maintained.
  • the current feeding speed of at least one cold material silo that supplies material to the aggregate silo is reduced to obtain at least one cold material that supplies material to the aggregate silo.
  • the current feeding speed of the cold material bin can be reduced or increased according to the preset step length.
  • the specific value of the preset step length can be set according to the actual situation, and is not specifically limited here.
  • the current feeding speed of the cold material bin can also be reduced or increased based on other methods, which will not be listed here.
  • the content of each aggregate in the cold material provided in the cold material data model, as well as the unloading speed, material level value and material level change rate of each aggregate bin are comprehensively considered to accurately measure
  • the current feeding speed of each cold silo is determined based on the comparison between the material level value of each aggregate silo and the preset material level interval, and the target feeding speed of each cold silo is determined to accurately realize the loading of the cold silo. Quantitative control of feeding speed.
  • the material loading control method may also include: detecting the material level value of each cold material bin and/or a supply status indicating whether material is available; accordingly, based on the cold material supply priority, determine the aggregate
  • the cold silo with the highest priority of cold material in at least one cold silo supplied by the warehouse may include: based on the cold material supply priority, and based on the material level value of each cold silo and/or indicating whether material is available supply status, determine the cold silo with the highest priority of cold material in at least one available cold silo that supplies materials to the aggregate silo.
  • the available cold silo has a material level value greater than the preset material level value and/or supply The status represents the cold silo available for feeding.
  • a material level meter can be set up in the cold material bin to detect the material level value of the cold material bin. If the material level value of the cold material bin is greater than the preset material level value, it means that the cold material in the cold material bin is sufficient. , if the material level value of the cold material bin is less than or equal to the preset material level value, it means that the cold material bin is about to be short of material.
  • a proximity sensor can also be set at the bottom of the cold silo to detect the supply status of the cold silo. If the cold silo is empty, the material cannot be supplied. At this time, the proximity sensor can send an electrical signal to the controller that no object is approaching. , the controller can determine that the supply status of the cold silo is unavailable to prevent idling, otherwise, it can determine that the supply status of the cold silo is available.
  • the available cold material bins can be prioritized, that is, the cold material bins whose material level value is greater than the preset material level value and/or the supply status indicates the available materials, to supply materials to the aggregate bin to avoid The shortage of materials affects production.
  • the cold material bin is less than or equal to the preset material level value and/or is unavailable, it can automatically switch to the cold material bin with the highest priority of available cold material.
  • the cold material supply priority can be determined by the cold material supply priority corresponding to the aggregate.
  • the cold material bin with the highest priority for cold materials i.e., optimal cold material supply
  • determining the target feeding speed of each cold silo based on the current feeding speed of each cold silo and the results of each comparison may also include:
  • the first step is to obtain the aggregate supply priority.
  • the aggregate supply priority is determined according to the demand for aggregates in each aggregate bin. The greater the demand for aggregates in the aggregate bin, the higher the demand for aggregates in the aggregate bin. The higher the priority.
  • the demand for aggregates in each aggregate bin can be determined based on the proportion of each aggregate in the production formula. Based on this, the pre-stored production formula can be obtained, and the proportion of each aggregate required in the production formula can be sorted. Based on the sorting results, the priority of aggregate supply is determined. The greater the demand for aggregates in the aggregate bin, the higher the aggregate demand. The higher the priority of the aggregates in the bin.
  • the aggregate supply priority can also be entered manually and stored.
  • the second step is to determine the sum of the target feeding speeds of each cold material bin to obtain the total speed.
  • Step 3 If the total speed is greater than the preset speed limit, based on the aggregate supply priority, determine at least one aggregate bin with the lowest priority among the aggregate bins.
  • the fourth step is to reduce the target feeding speed of at least one cold silo that supplies at least one aggregate silo with the lowest priority, so that the total speed is less than or equal to the preset speed upper limit.
  • the load that the loading control system can load is limited. Therefore, it is necessary to control the target loading speed of each cold material bin within the load range.
  • the sum of the target loading speeds of each cold silo can reflect the total load loaded by the loading control system. If the total speed exceeds the preset speed upper limit, the loading control system will not be able to bear it. In this case, you can consider
  • the demand for aggregates gives priority to the supply of aggregates with large demand, and reduces the supply of aggregates with small demand. Based on this, the above-mentioned aggregate supply priority is set. The greater the demand for aggregates in the aggregate silo, the higher the demand for aggregates in the aggregate silo.
  • the higher the priority of the aggregate if the total speed of the determined target feeding speed of each cold silo is greater than the preset speed limit, then according to the aggregate supply priority, at least one aggregate silo with the lowest priority will be The target feeding speed of at least one cold silo of the supplied material is reduced so that the total speed is less than or equal to the preset speed upper limit, thereby further ensuring continuous production.
  • the target feeding speed of at least one cold silo that supplies at least one aggregate silo with the lowest priority is reduced so that the total speed is less than or equal to the preset speed upper limit. Specifically, it can be reduced first The target loading speed of a cold silo with the lowest priority. If the target loading speed of the cold silo with the lowest priority is reduced to zero, then reduce the target loading speed of the cold silo with the next lowest priority. speed, and so on, until the total speed is less than or equal to the preset speed upper limit. In this way, aggregates with high priority can be supplied first.
  • the type of cold material in the cold material bin may be determined according to the user's first input operation. Because the raw materials of cold materials may come from different geological areas and other factors, the composition of the cold materials formed will be different. In practical applications, the content of each aggregate in various cold materials can be obtained in advance to build a cold material data model. Users can select the type of cold material in the cold material silo through input operations according to production needs. Based on the selected type of cold material in the cold material silo, each aggregate in the cold material in the cold material silo is obtained from the cold material data model. content, production is more flexible.
  • the contents of different aggregates in the cold material of the cold material bin may be updated according to the user's second input operation.
  • the cold material supply priority corresponding to the aggregate will also change. This embodiment is suitable for situations where there are fewer types of cold materials on site. If there is no cold material with the highest priority in the cold material supply priority corresponding to the aggregate, cold materials of the same type as those in other cold material bins can be used. To replace, you can update the content of different aggregates in the cold material used for replacement through input operations. The cold material used for replacement becomes the cold material with the highest priority in the cold material supply priority corresponding to the aggregate. At this time, the same cold material is placed in multiple cold materials. However, the cold material supply priority corresponding to the aggregate can be changed by manually adjusting the aggregate content in the cold material data model so that the same cold material is installed. Different cold silos of materials become the optimal suppliers of different aggregates, rather than the optimal suppliers of the same aggregate.
  • the cold material data model can be constructed in the following manner: transport the cold material in the target cold material bin to multiple aggregate bins, where each aggregate in the cold material enters the corresponding aggregate bin respectively; Detect the storage amount of each aggregate in the cold material in the corresponding aggregate bin; determine the content of each aggregate in the cold material based on the storage amount of each aggregate in the cold material; build a cold material based on the content of each aggregate in the cold material Material data model.
  • the target cold material bin here is the cold material bin where the content of each aggregate in the cold material is currently to be determined. Both the cold material silo and the aggregate silo are existing in the asphalt mixing plant. Refer to the material loading control system in the asphalt mixing plant shown in Figure 2.
  • the cold material in the cold material silo can be transported to multiple aggregate bins.
  • the existing asphalt mixing station can be used to automatically construct the cold material data model without the need for other professional equipment.
  • the operation is simple and has strong generalizability.
  • transporting the cold material in the target cold material bin to multiple aggregate bins includes: transporting the cold material in the target cold material bin to a screen, and screening each aggregate in the cold material through the screen. Divide into corresponding aggregate bins.
  • the screen has a screening function and is used to screen the cold material into aggregates of different particle sizes, and then store them into aggregate bins of corresponding particle sizes.
  • the screen here can be a vibrating screen. In this way, each aggregate of the cold material can be accurately distinguished.
  • the specific implementation method may include: using a weighing scale to detect the weight of each aggregate in the cold material in the corresponding aggregate bin; or, using the material The level meter detects the material level value of each aggregate in the cold material in the corresponding aggregate bin.
  • the loading control system has a weighing scale corresponding to the aggregate bin.
  • the aggregates in each aggregate bin can be discharged to the weighing scale in sequence, and the currently discharged weight can be weighed by the weighing scale.
  • the weight of the aggregate as the storage capacity, is obtained as w 1 , w 2 , w 3 , w 4 , w 5 , w 6 ,... w n , w n represents the bone in the n aggregate bin in the n aggregate bins The weight of the material.
  • the material level meter in each aggregate bin can also be used to detect the material level value of the aggregate in the aggregate bin, as the storage amount, that is, L 1 , L 2 , L 3 , L 4 , L 5 , L 6 ... ...L n , L n represents the material level value of the aggregate in the n aggregate bin in n aggregate bins, and the material level value can reflect the volume of the aggregate.
  • the content of each aggregate in the cold material is determined based on the storage capacity of each aggregate in the cold material.
  • the implementation method may include: summing the storage capacity of each aggregate to obtain the total storage capacity; based on the storage capacity of each aggregate The ratio of storage capacity to total storage capacity determines the content of each aggregate.
  • the ratio of the aggregate storage capacity to the total storage capacity can be directly used as the aggregate content.
  • the storage capacity of aggregate is the weight of aggregate
  • the storage capacity of aggregate is the material level value of the aggregate
  • L k is the material level value of the kth aggregate. Based on this, the content of aggregate is the volume proportion of aggregate.
  • the ratio of the aggregate storage amount to the total storage amount can also be multiplied by a set coefficient as the aggregate content.
  • the storage volume of each aggregate can be accurately obtained, and then the content of each aggregate in the cold material can be accurately obtained.
  • the cold material in the target cold silo is transported to multiple aggregate silos.
  • the specific implementation may include: transporting the cold material in the target cold silo according to the preset loading time or the preset The total amount of material is transported to multiple aggregate bins.
  • this embodiment provides two ways to transport cold materials to multiple aggregate bins.
  • One way is to continue loading for a preset loading time, and then stop loading.
  • the other way is to continue loading for a preset loading time, and then stop loading.
  • the first method is to load materials according to the preset total amount of materials, and stop loading after reaching the preset total amount of materials.
  • the cold materials of the preset total amount of materials can be weighed in advance and put into the cold material bin.
  • the preset feeding time and the preset total amount of feeding can be set based on empirical statistics, and there are no specific limitations here.
  • a cold material data model is constructed based on the content of each aggregate in the cold material.
  • the specific implementation may include: sorting the content of each aggregate in the cold material; building a cold material data model based on the sorting results. .
  • before transporting the cold material in the target cold silo to multiple aggregate silos it may also include: selecting one cold silo as the target in a preset order for the multiple cold silos. Cold silo.
  • a variety of cold materials can be stored in multiple cold material silos. Based on this, the content of each aggregate in the cold material can be determined for each cold material. Based on the content of each aggregate in the cold material in multiple cold material silos, The content of the cold material is determined and a cold material data model is constructed. In this way, a very comprehensive cold material data model containing the content of each aggregate in a variety of cold materials can be quickly obtained.
  • cold material bin No. 1 among the six cold material bins can be selected as the target cold material bin, and cold material No. 1 among them can be loaded according to the preset
  • the duration and preset feeding speed are transported to multiple aggregate bins, and then the feeding is stopped.
  • the No. 2 cold material bin is selected as the target cold material. warehouse, and transport the No. 2 cold material to multiple aggregate warehouses according to the preset loading time and preset loading speed. In this way, until all 6 cold material warehouses are selected, the cold materials in the 6 cold material warehouses are obtained.
  • the content of each aggregate in the material is determined to complete the automatic construction of the cold material database.
  • the controller is electrically connected to each material level gauge and each frequency converter.
  • the controller may be a PLC, and the host computer may be a computer.
  • material level meters and proximity sensors can also be installed in the cold material bin.
  • the host computer can store cold material data models, production recipes and preset material level intervals, and can also display production status in real time, such as the loading speed of the cold material bin.
  • the preset material level intervals include the accelerated loading material level interval add_zone (i.e., the above-mentioned first material level interval), the fixed frequency material level interval static_zone (i.e., the above-mentioned second material level interval), and the decelerated loading material level interval sub_zone (i.e. The above third material level interval) and full material level stop_line and other material level marks.
  • the full material level is used to trigger the full material prompt.
  • the type of cold material for production can be selected from the cold material data model through the computer.
  • the first step is to automatically capture device information and device status through the program.
  • the equipment status includes the operating status of belts, rollers, vibrating screens, etc. If the operating status is on, the prerequisites for adaptive feeding are met.
  • the equipment information includes the preset upper limit frequency selected according to the model of the asphalt mixing station, that is, the upper limit allowed by the sum of the frequencies of all frequency converters, which can be converted into the above-mentioned preset maximum speed.
  • the second step is to download the cold material data model, production formula and preset material level interval through host computer interaction, and determine the aggregate supply priority based on the proportion of each aggregate in the production formula. Based on the cold material data model, establish the aggregate Corresponding cold material supply priority.
  • the third step is to automatically obtain the cold material supply status.
  • the fourth step is to automatically obtain the material level values L 1 , L 2 , L 3 , L 4 , L 5 , and L 6 of the material level meters of different aggregate bins, based on the cold material data model and the discharge speed of each aggregate bin. and material level change rate, calculate the current feeding speed of each cold material bin, compare the material level value of each aggregate bin with the preset material level interval, based on the current material loading speed of each cold material bin and the results of each comparison , determine the target feeding speed of each cold material bin.
  • the unloading speed of the aggregate silo can be obtained based on the weight of the aggregate measured by the weighing scale corresponding to the aggregate silo and the elapsed time since the last weighing.
  • the sum of the target feeding speeds of each cold material bin can also be determined to obtain the total speed. If the total speed is greater than the preset speed upper limit, based on the aggregate supply priority, at least one aggregate bin with the lowest priority of aggregate among multiple aggregate bins is determined. The target feeding speed of at least one cold silo feeding at least one aggregate silo with the lowest priority is reduced so that the total speed is less than or equal to a preset speed upper limit.
  • Step 5 The controller controls the frequency corresponding to the inverter output of the cold silo based on the final target loading speed of each cold silo.
  • Step 6 The frequency converter controls the output of the motor to adjust the loading speed of the cold material bin.
  • the feeding speed of various cold materials can be quickly and automatically adjusted, thereby achieving the goal of stabilizing the material level of the aggregate bin and preventing material shortage and overflow; 2)
  • the raw material requirements for cold materials are low, and the operation method is flexible.
  • the type of cold materials can be quickly changed through the computer, thereby completing the matching of types of cold materials in different regions; 3)
  • the production process can be completed When the medium cold material is short of material, it will automatically switch to replace the cold material to prevent the lack of material from affecting production; 4)
  • the content of the aggregate in the cold material data model can be adjusted to adjust the order of the cold material supply priority corresponding to the aggregate, so that the cold material supply priority sequence can be adjusted.
  • One kind of cold material can be supplied to multiple types of aggregates to achieve automatic production; 5) The supply of cold materials can be automatically controlled based on changes in the material level value of the aggregate bin, thereby reducing overflow when multiple types of cold materials are used to supply one type of aggregate. Probability; 6) Through the equipped cold material data model, the type of cold material supply can be selected and replaced according to the actual production situation; 7) The preset material level interval can be set manually or automatically according to the production formula.
  • the feeding control device provided by the present application will be described below.
  • the feeding control device described below and the feeding control method described above may be mutually referenced.
  • FIG. 4 is a schematic structural diagram of the feeding control device provided by this application.
  • this embodiment provides a feeding control device, including:
  • the speed determination module 401 is used to determine the target feeding speed of each cold material silo based on the cold material data model; each cold material silo is used to supply materials to each aggregate silo; the cold material data model includes the data of each cold material silo. The content of each aggregate in the cold mix;
  • the loading control module 402 is used to control the loading of each cold silo based on the target loading speed of each cold silo.
  • the speed determination module is specifically used for:
  • the target feeding speed of each cold silo is determined.
  • the speed determination module is specifically used for:
  • the unloading speed and material level change rate of each aggregate bin is calculated.
  • the speed determination module is specifically used for:
  • each aggregate bin For each aggregate bin, obtain the cold material supply priority corresponding to the aggregate in the aggregate bin. Based on the cold material supply priority, determine the highest priority of cold material in at least one cold material bin that supplies material to the aggregate bin.
  • cold silo based on the unloading speed and material level change rate of the aggregate silo and the aggregate content of the cold material in the cold silo with the highest priority, determine the current load of the cold silo with the highest priority. Material speed;
  • the cold material supply priority is determined according to the aggregate content of the cold material in the cold material silo.
  • the cold material has a higher priority.
  • the speed determination module is specifically used for:
  • the current loading speed of the cold hopper with the highest priority is determined.
  • the speed determination module is specifically used for:
  • the first speed corresponding to the cold bin with the highest priority is determined.
  • it also includes:
  • the detection module is used to detect the material level value of each cold material bin and/or indicate the supply status of whether the material is available;
  • Speed determination module specifically used for:
  • the priority of the cold material in at least one available cold material bin that supplies the aggregate bin Based on the cold material supply priority, and based on the material level value of each cold material bin and/or the supply status indicating whether material is available, determine the priority of the cold material in at least one available cold material bin that supplies the aggregate bin.
  • the highest cold material bin, the available cold material bin is the cold material bin whose material level value is greater than the preset material level value and/or the supply status indicates that the material is available.
  • the speed determination module is specifically used for:
  • the unloading speed of each aggregate bin is obtained.
  • the preset material level interval includes a first material level interval, a second material level interval and a third material level interval whose material level values increase in sequence; the speed determination module is specifically used for:
  • the current feeding speed of at least one cold silo supplying material to the aggregate silo is increased to obtain at least one cold silo supplying material to the aggregate silo.
  • the current feeding speed of at least one cold silo supplying material to the aggregate silo will be used as the target of at least one cold silo supplying material to the aggregate silo. Feeding speed;
  • the current feeding speed of at least one cold material silo that supplies material to the aggregate silo is reduced to obtain at least one cold material that supplies material to the aggregate silo.
  • the target loading speed of the warehouse is
  • the speed determination module is also used to:
  • the aggregate supply priority is determined according to the demand for aggregates in each aggregate bin. The greater the demand for aggregates in the aggregate bin, the higher the priority of the aggregate in the aggregate bin. ;
  • the target feeding speed of at least one cold silo feeding at least one aggregate silo with the lowest priority is reduced so that the total speed is less than or equal to a preset speed upper limit.
  • the required amount of aggregate in each aggregate bin is determined based on the proportion of each aggregate in the production formula.
  • it also includes:
  • the input module is used to determine the type of cold material in the cold material bin according to the user's first input operation
  • An embodiment of the present application also provides an asphalt mixing station, including an asphalt mixing station body and a controller.
  • the controller is used to implement the feeding control method as in any of the above embodiments.
  • Figure 5 illustrates a schematic diagram of the physical structure of an electronic device.
  • the electronic device may include: a processor (processor) 510, a communication interface (Communications Interface) 520, a memory (memory) 530 and a communication bus 540.
  • the processor 510, the communication interface 520, and the memory 530 complete communication with each other through the communication bus 540.
  • the processor 510 can call logical instructions in the memory 530 to execute a loading control method, which includes:
  • the target feeding speed of each cold material bin is determined; each cold material bin is used to supply materials to each aggregate bin; the cold material data model includes the data of each aggregate in the cold material of each cold material bin content;
  • the loading of each cold silo is controlled.
  • the above-mentioned logical instructions in the memory 530 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product.
  • the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product.
  • the computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present application.
  • the aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code. .
  • the present application also provides a computer program product.
  • the computer program product includes a computer program stored on a non-transitory computer-readable storage medium.
  • the computer program includes program instructions. When the program instructions are executed by the computer, the computer can execute The feeding control method provided by each of the above methods includes:
  • the target feeding speed of each cold material bin is determined; each cold material bin is used to supply materials to each aggregate bin; the cold material data model includes the data of each aggregate in the cold material of each cold material bin content;
  • the loading of each cold silo is controlled.
  • the present application also provides a non-transitory computer-readable storage medium on which a computer program is stored.
  • the computer program is implemented when executed by the processor to execute the above-mentioned feeding control methods.
  • the method includes:
  • the target feeding speed of each cold material bin is determined; each cold material bin is used to supply materials to each aggregate bin; the cold material data model includes the data of each aggregate in the cold material of each cold material bin content;
  • the loading of each cold silo is controlled.
  • the device embodiments described above are only illustrative.
  • the units described as separate components may or may not be physically separated.
  • the components shown as units may or may not be physical units, that is, they may be located in one place. , or it can be distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Persons of ordinary skill in the art can understand and implement the method without any creative effort.
  • each embodiment can be implemented by software plus a necessary general hardware platform, and of course, it can also be implemented by hardware.
  • the computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disc, optical disk, etc., including a number of instructions to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to execute various embodiments or methods of certain parts of the embodiments.

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  • Architecture (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Chemical & Material Sciences (AREA)
  • Dispersion Chemistry (AREA)
  • Mechanical Engineering (AREA)
  • Preparation Of Clay, And Manufacture Of Mixtures Containing Clay Or Cement (AREA)
  • Road Paving Machines (AREA)

Abstract

La présente demande se rapporte au domaine de la commande mécanique. L'invention concerne un procédé et un appareil de commande d'alimentation, et une station d'agitation d'asphalte. Le procédé consiste à : déterminer une vitesse d'alimentation cible de chaque bac de matériau froid sur la base d'un modèle de données de matériau froid, les bacs de matériau froid étant utilisés pour acheminer des matériaux jusqu'à des bacs d'agrégat, et le modèle de données de matériau froid comprenant la teneur en agrégat dans des matériaux froids de chaque bac de matériau froid ; et, sur la base des vitesses d'alimentation cibles des bacs de matériau froid, commander les bacs de matériau froid pour acheminer des matériaux.
PCT/CN2022/095564 2022-03-23 2022-05-27 Procédé et appareil de commande d'alimentation, et station d'agitation d'asphalte WO2023178827A1 (fr)

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