Conveyor control method, device, equipment and program product

Abstract

The invention discloses a conveyor control method, which comprises the following steps: determining cost indication information, the cost indication information comprising corresponding relations between operation cost unit prices of N dimensions of a conveyor and time; obtaining a first data set, wherein the first data set comprises a value corresponding relation between the operation information of the conveyor and time and / or a value corresponding relation between different operation information of the conveyor; determining M kinds of time arrangement information of the conveyor, wherein the time arrangement information is used for indicating transportation arrangement conditions of the conveyor at different times; and according to the cost indication information, the target total transportation amount of the conveyor and the first data set, determining target time arrangement information in the M kinds of time arrangement information. In this way, the operation of the conveyor is controlled according to the target time arrangement information determined in advance, and the control cost of the conveyor can be effectively reduced. And moreover, the problems of uncontrollable cost and higher cost caused by temporary regulation and control are effectively avoided, and the defect of low cost response speed of passive control is overcome.

Description

Technical Field

[0001] The present application relates to the field of automation, and in particular to a control method for a conveyor. Background Art

[0002] As a highly efficient mechanical device for moving materials, conveyors can achieve the directional movement of bulk materials, piece materials, or finished goods along specific routes through mechanical devices. They are widely used in various industries, including industrial production, logistics warehousing, and bulk material handling. For example, conveyors can be belt, roller, chain, screw, or pneumatic conveyors based on different operating principles to accommodate different material types and complex working conditions.

[0003] In practice, conveyor operation can be costly. For example, if a conveyor consumes a lot of power, it often leads to a significant increase in electricity costs. Therefore, controlling conveyor operating costs has become a pressing issue. Summary of the Invention

[0004] The present invention provides a method for controlling a conveyor to effectively reduce the operating cost of the conveyor. In addition, the present invention also provides a corresponding conveyor control device, computing device, computer-readable storage medium, and computer program product.

[0005] In a first aspect, an embodiment of the present application provides a method for controlling a conveyor, comprising: determining cost indication information, the cost indication information including the corresponding relationship between the unit prices of the operating costs of N dimensions of the conveyor and time, where N is a positive integer; obtaining a first data set, the first data set including the corresponding relationship between the operating information of the conveyor and time and / or the corresponding relationship between the values ​​of different operating information of the conveyor, the operating information of the conveyor including the configuration parameters of the conveyor, the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor; determining M types of time scheduling information of the conveyor, the time scheduling information being used to indicate the transport arrangement of the conveyor at different times, the transport arrangement including the value of the operating information of the conveyor, where M is a positive integer; determining target time scheduling information among the M types of time scheduling information based on the cost indication information, the target total transport volume of the conveyor and the first data set, the total operating cost corresponding to the target time scheduling information being less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

[0006] In one possible implementation, determining the M types of time scheduling information for the conveyor includes: determining the M types of time scheduling information for the conveyor that meet the target conditions based on target conditions, and the target conditions include that the value of the operating information of the conveyor is within the target value range.

[0007] In one possible embodiment, obtaining the first data set includes: obtaining a second data set, the second data set including a correspondence between the operating information of the conveyor and time and / or a correspondence between the values ​​of different operating information of the conveyor, the number of correspondences included in the second data set is less than the number of correspondences included in the first data set; and determining the first data set through association transfer based on the second data set.

[0008] In a possible implementation, determining the first data set through association transfer based on the second data set includes: determining P value correspondences through association transfer based on the second data set, where P is a positive integer; determining the first data set based on the second data set and the value correspondences among the P value correspondences that meet the validity conditions, where the validity conditions include that the changing trend of the correspondence meets the validity requirements.

[0009] In a possible implementation, the method further includes: adjusting the values ​​of the configuration parameters of the conveyor according to the target time scheduling information.

[0010] In a possible implementation, the unit price of the operating cost of the conveyor in N dimensions includes one or more of the cost of unit electricity consumption, the cost of human inspection per unit transport volume, and the cost of material organization per unit transport volume.

[0011] In one possible embodiment, the first data set includes one or more of the corresponding relationship between the real-time transport rate of the conveyor and time, the corresponding relationship between the real-time power consumption rate of the conveyor and time, the corresponding relationship between the real-time transport rate of the conveyor and a first configuration parameter of the conveyor, and the corresponding relationship between the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor, wherein the first configuration parameter is one of the multiple configuration parameters of the conveyor.

[0012] In a second aspect, an embodiment of the present application provides a device for controlling the energy consumption of a conveyor, comprising: a determination module, the determination module being used to determine cost indication information, the cost indication information including the corresponding relationship between the unit price of the operating cost of N dimensions of the conveyor and time, where N is a positive integer; an acquisition module, the acquisition module being used to acquire a first data set, the first data set including the corresponding relationship between the operating information of the conveyor and time and / or the corresponding relationship between the values ​​of different operating information of the conveyor, the operating information of the conveyor including the configuration parameters of the conveyor, the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor; the determination module is further used to determine M types of time scheduling information of the conveyor, the time scheduling information being used to indicate the transport arrangement of the conveyor at different times, the transport arrangement including the value of the operating information of the conveyor, where M is a positive integer; based on the cost indication information, the target total transport volume of the conveyor and the first data set, determining the target time scheduling information among the M types of time scheduling information, the total operating cost corresponding to the target time scheduling information being less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

[0013] In a possible implementation, the determination module is specifically configured to determine, based on a target condition, M types of time scheduling information for the conveyor that meet the target condition, where the target condition includes that a value of the conveyor's operating information is within a target value range.

[0014] In one possible embodiment, the acquisition module is specifically used to acquire a second data set, which includes the corresponding relationship between the operating information of the conveyor and time and / or the corresponding relationship between the values ​​of different operating information of the conveyor, and the number of corresponding relationships included in the second data set is less than the number of corresponding relationships included in the first data set; based on the second data set, the first data set is determined through association transfer.

[0015] In one possible implementation, the determination module is specifically used to determine P value correspondences based on the second data set through associative transfer, where P is a positive integer; and determine the first data set based on the second data set and the value correspondences among the P value correspondences that meet the validity conditions, where the validity conditions include that the change trend of the correspondence meets the validity requirements.

[0016] In a possible implementation, the device further includes an adjustment module, configured to adjust the values ​​of the configuration parameters of the conveyor according to the target time scheduling information.

[0017] In a possible implementation, the unit price of the operating cost of the conveyor in N dimensions includes one or more of the cost of unit electricity consumption, the cost of human inspection per unit transport volume, and the cost of material organization per unit transport volume.

[0018] In one possible embodiment, the first data set includes one or more of the corresponding relationship between the real-time transport rate of the conveyor and time, the corresponding relationship between the real-time power consumption rate of the conveyor and time, the corresponding relationship between the real-time transport rate of the conveyor and a first configuration parameter of the conveyor, and the corresponding relationship between the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor, wherein the first configuration parameter is one of the multiple configuration parameters of the conveyor.

[0019] In a third aspect, an embodiment of the present application further provides a computing device, which may include a processor and a memory: the memory is used to store a computer program; the processor is used to execute the method described in the first aspect and any one of the implementation methods of the first aspect according to the computer program.

[0020] In a fourth aspect, an embodiment of the present application further provides a computer-readable storage medium, wherein the computer-readable storage medium is used to store a computer program, and the computer program is used to execute the method described in the first aspect and any one of the implementation methods of the first aspect.

[0021] In a fifth aspect, an embodiment of the present application further provides a computer program product comprising instructions, which, when executed on a computing device, enables the computing device to execute the method described in the first aspect and any one of the implementation methods of the first aspect.

[0022] In the above-mentioned implementation method of the embodiment of the present application, cost indication information is determined, and the cost indication information includes the correspondence between the unit prices of the operating costs of N dimensions of the conveyor and time, and N is a positive integer; a first data set is obtained, and the first data set includes the correspondence between the operating information of the conveyor and the value of time and / or the correspondence between the values ​​of different operating information of the conveyor, and the operating information of the conveyor includes the configuration parameters of the conveyor, the real-time transportation rate of the conveyor and the real-time power consumption rate of the conveyor; M types of time scheduling information of the conveyor are determined, and the time scheduling information is used to indicate the transportation arrangement of the conveyor at different times, and the transportation arrangement includes the value of the operating information of the conveyor, and M is a positive integer; based on the cost indication information, the target total transportation volume of the conveyor and the first data set, the target time scheduling information among the M types of time scheduling information is determined, and the total operating cost corresponding to the target time scheduling information is less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

[0023] In this way, using the first dataset, the operation of the conveyor in different operating states can be simulated. For example, the real-time transport rate and power consumption rate of the conveyor under different configuration parameter values ​​can be determined through corresponding relationships. Furthermore, for the M pre-planned time schedules that can be used by the conveyor (for example, which configuration parameter values ​​the conveyor maintains and how much cargo can be transported at different times or time periods), the optimal cost schedule (i.e., the target schedule) can be determined based on the cost indication information, the first dataset, and the total amount of material to be transported by the conveyor. This allows the operation of the conveyor to be controlled according to the pre-determined target schedule, effectively reducing the control cost of the conveyor. It is understandable that since the target time scheduling information is a pre-planning based on data simulation, when faced with the total amount of materials that need to be transported periodically, it is possible to plan in advance what operating mode will minimize costs, effectively avoiding the problems of uncontrollable and high costs brought about by temporary adjustments. In addition, this proactive pre-planning solution can overcome the defect of slow cost response speed of passive control (that is, in the face of temporary transportation volume demand, the configuration parameter settings of the conveyor need to be stabilized to maintain low power consumption and low-cost operation), ensuring the controllability of costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments recorded in the present application. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0025] Figure 1 This is a schematic diagram of the architecture of a control system for a conveyor in an embodiment of the present application;

[0026] Figure 2 This is a flow chart of a method for controlling a conveyor in an embodiment of the present application;

[0027] Figure 3 This is a schematic structural diagram of a control device for a conveyor in an embodiment of the present application;

[0028] Figure 4 This is a schematic diagram of the hardware structure of a computing device in an embodiment of the present application. DETAILED DESCRIPTION

[0029] See also Figure 1 , is a schematic diagram of a conveyor control system provided in this application. Figure 1 As shown, the control system 10 of the conveyor includes a conveyor, a data acquisition device, a processor and a memory. Figure 1The control system 10 of the conveyor is taken as an example including a processor 100, a memory 201, a conveyor 301 and a data acquisition device 401. In actual application scenarios, the control system 10 of the conveyor may include a larger number of processors, memories, conveyors and data acquisition devices.

[0030] The processor 100 and the memory 201, the processor 100 and the conveyor 301, and the processor 100 and the data acquisition device 401 may be connected via a bus, such as a Peripheral Component Interconnect Express (PCIE) bus. Alternatively, the processor 100 and the memory 201, the processor 100 and the conveyor 301, and the processor 100 and the data acquisition device 401 may be connected via a network, such as a local area network (LAN) or a wide area network (WAN) in terms of coverage, and a wired network or a wireless network in terms of connection.

[0031] The processor 100 refers to a device having data processing and control capabilities. For example, the processor 100 may be a graphics processing unit (GPU), a central processing unit (CPU), etc., and this is not limited.

[0032] The memory 201 is a device with file storage capability, and may be, for example, a semiconductor memory, a magnetic memory, an optical memory, etc., without limitation. In addition, the memory 201 may store a database for data management and data query, without limitation.

[0033] The conveyor 301 refers to a device used for moving materials. For example, the conveyor can be a belt conveyor, a roller conveyor, a chain conveyor, a screw conveyor or a pneumatic conveyor, etc., and this is not limited.

[0034] The data acquisition device 401 refers to a device capable of data acquisition and analysis. For example, the data acquisition device 401 may be a sensor, a scanner, etc., and this is not limited.

[0035] In practical applications, operating a conveyor can be costly. For example, high power consumption often results in significant electricity costs. Conveyor transport requires centralized management (e.g., by organizing freight vehicles to deposit materials at the conveyor's starting point for transport), which also incurs significant organizational and management costs. Furthermore, conveyor operation can also incur other labor costs (e.g., inspection costs or downtime for maintenance).

[0036] In the existing technology, the values ​​of the relevant configuration parameters of the conveyor are often temporarily adjusted according to the conveyor's transportation volume in order to effectively control the conveyor's power consumption. However, this "passive" control scheme makes it difficult to effectively guarantee the cost of the conveyor. For example, although the conveyor reduces the power consumption cost by adjusting the configuration parameter values ​​according to the current transportation volume, due to the lack of upfront planning, it may still consume more costs from a global perspective (that is, under the goal of periodic total transportation volume). In other words, the above scheme is only a temporary cost control made under clear planning, but due to unclear and ambiguous planning, it will still cause cost waste. In addition, the above temporary control method also has a lag. When the conveyor is in operation after adjustment, the power consumption cost will not be quickly controlled in the short term.

[0037] Based on this, the processor 100 determines the cost indication information, which includes the correspondence between the unit prices of the operating costs of N dimensions of the conveyor and time, where N is a positive integer; the processor 100 obtains a first data set, which includes the correspondence between the operating information of the conveyor and the time and / or the correspondence between the values ​​of different operating information of the conveyor. The operating information of the conveyor includes the configuration parameters of the conveyor, the real-time transportation rate of the conveyor and the real-time power consumption rate of the conveyor; the processor 100 determines M types of time scheduling information of the conveyor, and the time scheduling information is used to indicate the transportation arrangement of the conveyor at different times. The transportation arrangement includes the value of the operating information of the conveyor, and M is a positive integer; the processor 100 determines the target time scheduling information among the M types of time scheduling information based on the cost indication information, the target total transportation volume of the conveyor and the first data set, and the total operating cost corresponding to the target time scheduling information is less than or equal to the total operating cost corresponding to other time scheduling information in the M types of time scheduling information.

[0038] In this way, using the first dataset, the operation of the conveyor in different operating states can be simulated. For example, the real-time transport rate and power consumption rate of the conveyor under different configuration parameter values ​​can be determined through corresponding relationships. Furthermore, for the M pre-planned time schedules that can be used by the conveyor (for example, which configuration parameter values ​​the conveyor maintains and how much cargo can be transported at different times or time periods), the optimal cost schedule (i.e., the target schedule) can be determined based on the cost indication information, the first dataset, and the total amount of material to be transported by the conveyor. This allows the operation of the conveyor to be controlled according to the pre-determined target schedule, effectively reducing the control cost of the conveyor. It is understandable that since the target time scheduling information is a pre-planning based on data simulation, when faced with the total amount of materials that need to be transported periodically, it is possible to plan in advance what operating mode will minimize costs, effectively avoiding the problems of uncontrollable and high costs brought about by temporary adjustments. In addition, this proactive pre-planning solution can overcome the defect of slow cost response speed of passive control (that is, in the face of temporary transportation volume demand, the configuration parameter settings of the conveyor need to be stabilized to maintain low power consumption and low-cost operation), ensuring the controllability of costs.

[0039] To make the above-mentioned purposes, features, and advantages of the present application more clearly understood, various non-limiting embodiments of the embodiments of the present application will be exemplified below with reference to the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present application, not all of them. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0040] See Figure 2 , Figure 2 A flow chart showing a method for controlling a conveyor according to an embodiment of the present invention is shown. The method can be applied to Figure 1 The control system 10 of the conveyor shown in FIG. 1 may be applied to other applicable conveyor control systems. Figure 1 The control system 10 of the conveyor shown in FIG. 1 is used as an example to describe the control of the conveyor. Figure 2 As shown, the method may specifically include the following steps.

[0041] S201: The processor 100 determines cost indication information, where the cost indication information includes corresponding relationships between operating cost unit prices of N dimensions of a conveyor and time, where N is a positive integer.

[0042] Before the processor 100 performs planning and arrangement of a conveyor (eg, the conveyor 301 ), relevant data information for planning and arrangement may be determined first, and then a planning and arrangement scheme with the lowest cost may be determined based on the data information.

[0043] Specifically, the processor 100 may determine cost indication information, which can be used to determine the costs of different dimensions of the conveyor. For example, the cost indication information may include a corresponding relationship between the unit price of the operating cost of N dimensions of the conveyor and time, where N is a positive integer. It will be understood that the unit price of the operating cost of different dimensions represents the unit price of the cost consumption that may be incurred by the conveyor in different aspects.

[0044] Alternatively, the operating cost price may be the cost per unit of electricity consumption, for example, the electricity cost per kilowatt-hour (kWh). Furthermore, the cost indication information may include a correspondence between the cost per unit of electricity consumption and time, that is, the unit electricity cost at different times (or time periods). It is understood that the unit electricity cost may be tiered (for example, electricity costs may be lower at night), so that the electricity cost of maintaining the same conveyor operating status may vary at different times (or time periods).

[0045] Alternatively, the unit price of the operating cost may be the labor inspection cost per unit of transported material, for example, the labor cost of arranging inspection personnel to transport one ton of material. Furthermore, the cost indication information may include a correspondence between the labor inspection cost per unit of transported material and time, that is, the unit labor cost at different times (or time periods). It is understood that the unit labor cost may be tiered (e.g., labor costs may be higher at night than during the day). Therefore, transporting the same amount of material at different times (or time periods) may incur different labor costs.

[0046] Alternatively, the unit operating cost price may be the material organization cost per unit transported volume. For example, it may be the cost of organizing a freight vehicle to place all materials at the initial end of a conveyor for transport. Furthermore, the cost indication information may include a correspondence between the material organization cost per unit transported volume and time, that is, the unit material organization cost at different times (or time periods). It is understood that the unit material organization cost may be priced on a tiered basis (e.g., the cost of using a freight vehicle during peak hours may be higher). Therefore, organizing the same volume of material at different times (or time periods) may incur different material organization costs.

[0047] In addition, the operating cost unit price may also be the unit price cost of other dimensions. Furthermore, the cost indication information may also include the correspondence between the unit price cost of other dimensions and time, which is not limited.

[0048] S202: The processor 100 obtains a first data set, which includes a correspondence between the operating information of the conveyor and time and / or a correspondence between the values ​​of different operating information of the conveyor. The operating information of the conveyor includes the configuration parameters of the conveyor, the real-time transport rate of the conveyor, and the real-time power consumption rate of the conveyor.

[0049] Furthermore, the processor 100 may also obtain other data information for planning and arrangement to simulate different operating conditions of the conveyor, so as to determine the total operating cost of the conveyor under different simulation conditions.

[0050] Specifically, the processor 100 may obtain a first data set (e.g., using the data acquisition device 401). The first data set includes a correspondence between values ​​of the conveyor's operating information and time, and may also include a correspondence between values ​​of different types of conveyor operating information. It is understood that the above-mentioned correspondence may be a graph or table showing the change of the conveyor's operating information over time as collected by the data acquisition device 401, or a graph or table showing the change of one type of conveyor operating information as another type of conveyor operating information. The embodiments of the present application do not limit the implementation of the above-mentioned correspondence.

[0051] The operating information of the conveyor may include the configuration parameters of the conveyor, such as the frequency setting parameters of the conveyor's inverter, the operating speed of the conveyor's motor, the current parameters of the conveyor's motor, and the voltage parameters of the conveyor's motor. In addition, the configuration parameters of the conveyor may also be other parameter items, which are not limited to this. The operating information of the conveyor may also include other operating information related to conveyor transportation. For example, the operating information of the conveyor may include the real-time transport rate of the conveyor, that is, the amount of material transported by the conveyor per unit time (the unit may be kilograms per second); the operating information of the conveyor may also include the real-time power consumption rate of the conveyor, that is, the amount of electricity consumed by the conveyor per unit time (the unit may be kilowatt-hours). In addition, the operating information of the conveyor may also include other information items, which are not limited to this.

[0052] For example, based on the aforementioned optional conveyor operation information items, the value correspondence included in the first data set may be, for example, a value correspondence between the conveyor's real-time transport rate and time, i.e., a curve showing how the real-time transport rate changes over time. Alternatively, it may be a value correspondence between the conveyor's real-time power consumption rate and time, i.e., a curve showing how the real-time power consumption rate changes over time. Alternatively, it may be a value correspondence between the conveyor's real-time transport rate and a first configuration parameter of the conveyor, i.e., a curve showing how the real-time transport rate changes with the value of the first configuration parameter. The first configuration parameter may be one of multiple configuration parameters of the conveyor, such as a curve showing how the real-time transport rate changes with the value of a motor current parameter.

[0053] It should be noted that the above correspondence is only for illustrative purposes, and in actual applications, more other value correspondences may be included.

[0054] The following describes an implementation method for obtaining the first data set provided by an embodiment of the present application.

[0055] The processor 100 may first obtain a second data set (e.g., using the data acquisition device 401). The second data set also includes a value correspondence between the conveyor's operating information and time and / or a value correspondence between different types of conveyor operating information. Furthermore, the second data set may be a value correspondence directly acquired by the processor 100 using the data acquisition device 401. For example, the second data set may include the real-time transport rate of the conveyor periodically acquired by the data acquisition device 401, forming a value correspondence between the real-time transport rate of the conveyor and time.

[0056] It should be noted that the processor 100 can obtain a second data set by collecting data after the conveyor has run for a period of time. In other words, by collecting real data after the conveyor has run for a period of time, the above data set can be obtained, and then the corresponding relationship reflected by the real data can be used for simulation.

[0057] Furthermore, based on the acquired second data set, the processor 100 can determine the first data set through association transfer. It can be understood that the newly generated first data set will be larger in scale than the second data set, that is, the number of corresponding relationships included in the second data set is less than the number of corresponding relationships included in the first data set. Among them, association transfer specifically refers to that the processor 100 transfers the corresponding relationship through two sets of corresponding relationships containing the same data items to obtain a new corresponding relationship. For example, the processor 100 can obtain the corresponding relationship between the real-time transport rate and the real-time power consumption rate by aligning the time axis through the corresponding relationship between the real-time transport rate and the time, combined with the corresponding relationship between the real-time power consumption rate and the time. Alternatively, the processor 100 can further determine the corresponding relationship between the real-time power consumption rate and the first configuration parameter in combination with the corresponding relationship between the real-time transport rate and the first configuration parameter.

[0058] Specifically, the processor 100 may first determine P value correspondences based on the second data set through associative transfer, where P is a positive integer. Then, the processor 100 may merge the second data set with the newly generated P value correspondences to obtain the first data set.

[0059] Optionally, the processor 100 may first determine whether each of the P value correspondences satisfies a validity condition, and only the value correspondences that meet the validity condition are determined and imported into the first data set. The validity condition may specifically include that the trend of change in the correspondence meets the validity requirements. For example, if the processor 100 determines the value correspondence between parameters A and C based on the value correspondence between parameters A and B, combined with the value correspondence between parameters B and C, based on associative transfer, the processor 100 will determine whether the trend of change reflected in the newly generated value correspondence between parameters A and C meets the validity requirements, such as whether the trend of change conforms to objective reality (for example, as the real-time traffic rate increases, the real-time power consumption rate should not decrease significantly), whether the trend of change exceeds the value range (as the real-time traffic rate changes, the value of the real-time power consumption rate exceeds the value range), and other requirements.

[0060] In addition, the second data set acquired by the processor 100 may also only include value correspondences that meet the validity requirements, which will not be elaborated here.

[0061] It should be noted that the above implementation method of obtaining the first data set is only an example. In actual application, the first data set can also be obtained based on other implementation methods.

[0062] S203: The processor 100 determines M types of time scheduling information of the conveyor, where the time scheduling information is used to indicate the transportation scheduling of the conveyor at different times. The transportation scheduling includes the value of the operation information of the conveyor, and M is a positive integer.

[0063] S204: The processor 100 determines the target time scheduling information among the M types of time scheduling information based on the cost indication information, the target transportation volume of the conveyor and the first data set, and the total operating cost corresponding to the target time scheduling information is less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

[0064] After acquiring the first data set and the cost indication information, the processor 100 may determine a conveyor operation plan that minimizes the cost based on the first data set and the cost indication information.

[0065] Specifically, the processor 100 may first determine M types of time scheduling information. Each type of time scheduling information may indicate the transport schedule of a conveyor at a different time. In other words, each type of time scheduling information represents a sequential operation plan for the conveyor. The transport schedule may be the value of the conveyor's operating information. That is, each type of time scheduling information represents the planned values ​​for the conveyor's operating information at a different time (or time period), including the planned values ​​for various configuration parameters of the conveyor. For example, the time scheduling information may indicate that the real-time transport rate of the conveyor at time 1 (or time period 1) is 1, the real-time transport rate of the conveyor at time 2 (or time period 2) is 2, and so on.

[0066] Optionally, during the process of determining the schedule information, M types of schedule information meeting the target conditions are determined based on target conditions. The target conditions may limit the number of schedule information, so that only those schedule information meeting the requirements are subsequently analyzed. The target condition may be that the operating information of the conveyor falls within a target range. For example, to accommodate a limited number of inspectors, the real-time conveyor throughput rate cannot exceed a throughput rate threshold; to ensure temperature protection, the current parameter value of the conveyor cannot exceed a current threshold; and to ensure maintenance, the conveyor cannot be in continuous operation for extended periods of time.

[0067] Furthermore, the processor 100 may determine target schedule information from the M types of schedule information based on the cost indication information, the target transport volume of the conveyor, and the first data set. The target schedule information is a time planning scheme that minimizes the total operating cost. That is, the total operating cost corresponding to the target schedule information is less than or equal to the total operating costs corresponding to other schedule information in the M types of schedule information.

[0068] As an implementation, the processor 100 may calculate, based on the determined cost indication information and the first data set, the total operating costs corresponding to various schedules while achieving the target transport volume of the conveyor. The schedule with the lowest total operating cost is the target schedule.

[0069] Optionally, in addition to meeting the target transport volume, the processor 100 may also determine whether the various aforementioned schedules meet other target requirements. For example, if the total costs corresponding to the schedules are the same or similar, the processor 100 may prioritize the schedule with the lower power consumption cost. Alternatively, the processor 100 may determine whether the practicality of each schedule meets the requirements. For example, a schedule that frequently adjusts conveyor configuration parameters within a short period of time is often not practical.

[0070] Based on the above, the processor 100 can determine whether each schedule information satisfies multiple target requirements. Among these multiple target requirements, some may be primary target requirements, i.e., target requirements that must be met. For example, a target transportation volume is a primary target requirement. Other target requirements may be secondary target requirements, i.e., target requirements that are not required to be met. For example, a secondary target requirement is a requirement that the electricity consumption cost within the total cost is below a threshold. Different target requirements can be weighted based on their importance. The processor 100 can then determine whether each schedule information satisfies the multiple target requirements.

[0071] Therefore, the first time schedule information finally determined by the processor 100 may also be a time schedule information that satisfies multiple target requirements in the best manner (ie, the quantified situation obtained by weight judgment is the highest) while the total operating cost is relatively low.

[0072] It should be noted that the specific implementation manner in which the processor 100 determines the first time scheduling information is merely an example. In addition, the processor 100 may also determine the first time scheduling information based on other manners.

[0073] S205: The processor 100 adjusts the values ​​of the configuration parameters of the conveyor according to the target time scheduling information.

[0074] After determining the target time schedule information, the processor 100 can adjust the values ​​of the configuration parameters of the conveyor based on this, that is, according to the planning of the target time schedule information, the configuration parameters of the conveyor are set to the target values ​​at each time in the target time schedule information.

[0075] In this way, controlling the conveyor's operation according to pre-determined target schedule information can effectively reduce conveyor control costs. It's understandable that because target schedule information is a pre-planned approach based on data simulation, it allows for pre-planning the operating mode that will minimize costs when faced with the total amount of material that needs to be transported periodically. This effectively avoids the uncontrollable and high cost issues associated with temporary adjustments. Furthermore, this proactive pre-planning approach overcomes the slow cost response of passive control (i.e., when faced with temporary transport volume demands, the conveyor's configuration parameters must stabilize to maintain low power consumption and low cost operation), ensuring cost controllability.

[0076] In this embodiment, the processor 100 may use the steps described in steps S201 to S205 above to periodically plan a conveyor configuration plan for the conveyor that meets the target total transportation volume or other requirements to ensure that the total operating cost is at a low level.

[0077] In addition, the present application also provides a control device for a conveyor. Figure 3 , Figure 3 FIG. 1 shows a schematic structural diagram of a control device for a conveyor in an embodiment of the present application. Figure 3 The control device 300 of the conveyor shown comprises:

[0078] The determining module 301 is used to determine cost indication information, where the cost indication information includes the corresponding relationship between the operating cost unit price of N dimensions of the conveyor and time, where N is a positive integer.

[0079] Acquisition module 302, the acquisition module 302 is used to acquire a first data set, the first data set includes the corresponding relationship between the operating information of the conveyor and time and / or the corresponding relationship between the values ​​of different operating information of the conveyor, the operating information of the conveyor includes the configuration parameters of the conveyor, the real-time transportation rate of the conveyor and the real-time power consumption rate of the conveyor.

[0080] The determination module 301 is also used to determine M types of time scheduling information of the conveyor, where the time scheduling information is used to indicate the transportation arrangement of the conveyor at different times, and the transportation arrangement includes the value of the operation information of the conveyor, where M is a positive integer; based on the cost indication information, the target total transportation volume of the conveyor and the first data set, the target time scheduling information among the M types of time scheduling information is determined, and the total operating cost corresponding to the target time scheduling information is less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

[0081] In a possible implementation, the determination module 301 is specifically configured to determine, based on a target condition, M types of time scheduling information for the conveyor that meet the target condition, wherein the target condition includes that the value of the conveyor's operating information is within a target value range.

[0082] In one possible embodiment, the acquisition module 302 is specifically used to acquire a second data set, which includes the corresponding relationship between the operating information of the conveyor and time and / or the corresponding relationship between the values ​​of different operating information of the conveyor, and the number of corresponding relationships included in the second data set is less than the number of corresponding relationships included in the first data set; based on the second data set, the first data set is determined through association transfer.

[0083] In one possible implementation, the determination module 301 is specifically used to determine P value correspondences based on the second data set through association transfer, where P is a positive integer; and determine the first data set based on the second data set and the value correspondences in the P value correspondences that meet the validity conditions, where the validity conditions include that the change trend of the correspondence meets the validity requirements.

[0084] In a possible implementation, the device 300 further includes an adjustment module 303 , and the adjustment module 303 is configured to adjust the values ​​of the configuration parameters of the conveyor according to the target time scheduling information.

[0085] In a possible implementation, the unit price of the operating cost of the conveyor in N dimensions includes one or more of the cost of unit electricity consumption, the cost of human inspection per unit transport volume, and the cost of material organization per unit transport volume.

[0086] In one possible embodiment, the first data set includes one or more of the corresponding relationship between the real-time transport rate of the conveyor and time, the corresponding relationship between the real-time power consumption rate of the conveyor and time, the corresponding relationship between the real-time transport rate of the conveyor and a first configuration parameter of the conveyor, and the corresponding relationship between the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor, wherein the first configuration parameter is one of the multiple configuration parameters of the conveyor.

[0087] It should be noted that the information interaction, execution process, etc. between the modules and units of the above-mentioned device are based on the same concept as the method embodiment in the embodiments of the present application, and the technical effects they bring are the same as those of the method embodiment in the embodiments of the present application. For specific contents, please refer to the description of the method embodiment shown above in the embodiments of the present application, and no further details will be given here.

[0088] In addition, the present application also provides a computing device. Figure 4 , Figure 4 FIG. 1 shows a schematic diagram of the hardware structure of a computing device in an embodiment of the present application. Figure 4 As shown, computing device 400 may include a processor 401 and a memory 402 .

[0089] The memory 402 is used to store computer programs;

[0090] The processor 401 is configured to execute the conveyor control method described in the above method embodiment according to the computer program.

[0091] In addition, an embodiment of the present application further provides a computer-readable storage medium, which is used to store a computer program, and the computer program is used to execute the conveyor control method described in the above method embodiment.

[0092] In addition, an embodiment of the present application further provides a computer program product containing instructions, which, when executed on a computing device, enables the computing device to execute the conveyor control method described in the above method embodiment.

[0093] In the examples of this application, the "first" in the name of the "first data set" is only used as a name identifier and does not mean the first in order. The same rule applies to "second", "third", etc.

[0094] Through the description of the above embodiments, it can be seen that those skilled in the art can clearly understand that all or part of the steps in the above-mentioned embodiment methods can be implemented by means of software plus a general hardware platform. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in various embodiments or certain parts of the embodiments of the present application.

[0095] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiment. The device embodiment described above is only exemplary. The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on 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. A person of ordinary skill in the art can understand and implement it without making any creative efforts.

[0096] The above description is merely an exemplary embodiment of the present application and is not intended to limit the scope of protection of the present application.

Claims

1. A conveyor control method, characterized in that: The method comprises: Determining cost indication information, wherein the cost indication information includes corresponding relationships between operating cost unit prices of N dimensions of the conveyor and time, where N is a positive integer; Acquiring a first data set, the first data set including a correspondence between values ​​of operating information of the conveyor and time and / or a correspondence between values ​​of different operating information of the conveyor, the operating information of the conveyor including configuration parameters of the conveyor, a real-time transport rate of the conveyor, and a real-time power consumption rate of the conveyor; Determine M types of time scheduling information of the conveyor, where the time scheduling information is used to indicate the transportation schedule of the conveyor at different times, the transportation schedule including the value of the operation information of the conveyor, and M is a positive integer; Based on the cost indication information, the target transport volume of the conveyor and the first data set, the target scheduling information among the M types of scheduling information is determined, and the total operating cost corresponding to the target scheduling information is less than or equal to the total operating cost corresponding to other scheduling information among the M types of scheduling information.

2. The method according to claim 1, characterized in that The determining of M types of time arrangement information of the conveyor includes: According to a target condition, M types of time scheduling information of the conveyor that meet the target condition are determined, and the target condition includes that the value of the operation information of the conveyor is within a target value range.

3. The method according to claim 1, characterized in that The obtaining of the first data set includes: Acquire a second data set, the second data set including corresponding relationships between values ​​of the conveyor's operating information and time and / or corresponding relationships between values ​​of different operating information of the conveyor, wherein the number of corresponding relationships included in the second data set is less than the number of corresponding relationships included in the first data set; The first data set is determined according to the second data set through association transfer.

4. The method according to claim 3, characterized in that The determining the first data set by associative transfer according to the second data set includes: Determine, based on the second data set, P value correspondences through associative transfer, where P is a positive integer; The first data set is determined based on the second data set and the value correspondence relationship among the P value correspondence relationships that meets the validity condition, and the validity condition includes that the change trend of the correspondence relationship meets the validity requirement.

5. The method according to any one of claims 1 to 4, characterized in that The method further comprises: According to the target time schedule information, the values ​​of the configuration parameters of the conveyor are adjusted.

6. The method according to any one of claims 1 to 4, characterized in that The unit prices of the operating costs of the conveyor in N dimensions include one or more of the cost of unit electricity consumption, the cost of human inspection per unit transport volume, and the cost of material organization per unit transport volume.

7. The method according to any one of claims 1 to 4, characterized in that The first data set includes one or more of the corresponding relationship between the real-time transport rate of the conveyor and time, the corresponding relationship between the real-time power consumption rate of the conveyor and time, the corresponding relationship between the real-time transport rate of the conveyor and the first configuration parameter of the conveyor, and the corresponding relationship between the real-time transport rate of the conveyor and the real-time power consumption rate of the conveyor, wherein the first configuration parameter is one of the multiple configuration parameters of the conveyor.

8. A device for controlling energy consumption of a conveyor, characterized in that: The device comprises: A determination module, the determination module is used to determine cost indication information, the cost indication information including the corresponding relationship between the operating cost unit price of N dimensions of the conveyor and time, where N is a positive integer; an acquisition module, the acquisition module being configured to acquire a first data set, the first data set including a correspondence between values ​​of operating information of the conveyor and time and / or a correspondence between values ​​of different operating information of the conveyor, the operating information of the conveyor including configuration parameters of the conveyor, a real-time transport rate of the conveyor, and a real-time power consumption rate of the conveyor; The determination module is also used to determine M types of time scheduling information for the conveyor, where the time scheduling information is used to indicate the transportation schedule of the conveyor at different times, and the transportation schedule includes the value of the operation information of the conveyor, where M is a positive integer; based on the cost indication information, the target total transportation volume of the conveyor and the first data set, the target time scheduling information among the M types of time scheduling information is determined, and the total operating cost corresponding to the target time scheduling information is less than or equal to the total operating cost corresponding to other time scheduling information among the M types of time scheduling information.

9. A computing device, characterized in that The computing device includes a processor and a memory; The memory is used to store computer programs; The processor is configured to execute the method according to any one of claims 1 to 7 according to the computer program.

10. A computer program product comprising instructions, characterized in that When the method is executed on a computing device, the computing device is caused to execute the method according to any one of claims 1 to 7.

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