CN108287953B - Storage space determination method and device, storage medium and processor - Google Patents
Storage space determination method and device, storage medium and processor Download PDFInfo
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Abstract
The invention discloses a method and a device for determining a storage space, a storage medium and a processor. Wherein, the method comprises the following steps: the computing device acquires a storage rate and a retrieval rate of the target object, wherein the storage rate represents the number of the target objects placed in the storage positions in unit time, and the retrieval rate represents the number of the target objects retrieved from the storage positions in unit time; determining the maximum number of the target objects stored in the storage positions in a preset time period according to the storage rate and the taking-out rate; and determining a storage space for storing the target object according to the maximum quantity. The invention solves the technical problem that the storage space cannot be accurately predicted.
Description
Technical Field
The invention relates to the field of logistics, in particular to a method and a device for determining a storage space, a storage medium and a processor.
Background
The raw ore storage yard is an important facility for storing the raw ore which is extracted from the mining yard and ground and ensuring the normal production of the smelting plant. The raw ore stockpiling is an intermediate link of the mining process and the smelting process, if the stockpiling capacity is too small, the raw ore mined by the mining field cannot be guaranteed to have a site for stockpiling, and meanwhile, the smelting plant cannot be guaranteed to have ore for use, and if the stockpiling capacity of the stockpiling field is too large, the stockpiling site is incomplete.
The existing yard design method mainly considers a surplus coefficient on the basis of an estimated value according to experience and simple estimation. The original storage yard design method lacks theoretical support, and the method can adopt a larger surplus system to meet the connection of upper and lower working procedures and normal production, often causes overlarge scale of raw ores, cannot fully utilize a storage yard, is idle in matched arrangement, wastes valuable land resources, and increases the investment of infrastructure.
Aiming at the problem that the ore storage space cannot be accurately predicted, an effective solution is not provided at present.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a storage space, a storage medium and a processor, which are used for at least solving the technical problem that the storage space cannot be accurately predicted.
According to an aspect of an embodiment of the present invention, there is provided a method for determining a storage space, including: the method comprises the steps that a computing device obtains a storage rate and a taking-out rate of a target object, wherein the storage rate represents the number of target objects placed in storage positions in a unit time, and the taking-out rate represents the number of target objects taken out of the storage positions in the unit time; determining the maximum number of the target objects stored in the storage positions in a preset time period according to the storage rate and the taking-out rate; and determining a storage space for storing the target object according to the maximum quantity.
Further, before the computing device obtains the storage rate and the retrieval rate of the target object, the method further comprises: acquiring a volume parameter of the target object; and establishing a volume model of the target object according to the volume parameters.
Further, determining a storage space for storing the target object according to the maximum number comprises: determining a stacking model of the target object according to the volume model, wherein the stacking model is used for representing a model generated by stacking the maximum number of the target objects; determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects; determining the storage space for storing the target object according to the maximum space.
Further, determining a storage space for storing the target object according to the maximum number comprises: determining the type corresponding to each target object under the condition of the maximum quantity; determining the classification number of the target objects of each type, wherein the classification number is used for representing the number of the target objects included in each type; determining a classification stacking model corresponding to each type according to the classification quantity, wherein the classification stacking model is used for representing a model generated by stacking the target objects of the same type according to the classification quantity; determining a maximum space occupied by the classification stacking models of the plurality of types in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects; determining the storage space for storing the target object according to the maximum space.
According to another aspect of the embodiments of the present invention, there is also provided an apparatus for determining a storage space, including: an acquisition unit configured to control a storage rate and a retrieval rate at which a computing device acquires a target object, wherein the storage rate indicates a number of the target objects placed in a storage location in a unit time, and the retrieval rate indicates a number of the target objects retrieved from the storage location in the unit time; a first determining unit, configured to determine, according to the storage rate and the retrieval rate, a maximum number of the target objects stored in the storage location within a predetermined time period; a second determining unit, configured to determine, according to the maximum number, a storage space for storing the target object.
Further, the apparatus further comprises: the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the volume parameter of a target object before the calculation equipment acquires the storage rate and the taking-out rate of the target object; and the establishing module is used for establishing a volume model of the target object according to the volume parameters.
Further, the second determination unit includes: a first determining module, configured to determine a stacking model of the target object according to the volume model, wherein the stacking model is used to represent a model generated by stacking the maximum number of the target objects; a second determining module for determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects; a third determining module, configured to determine the storage space for storing the target object according to the maximum space.
Further, the second determination unit includes: a fourth determining module, configured to determine a type corresponding to each target object under the condition of the maximum number; a fifth determining module, configured to determine a classification number of the target objects of each type, where the classification number is used to indicate a number of the target objects included in each type; a sixth determining module, configured to determine, according to the classification quantity, a classification stacking model corresponding to each type, where the classification stacking model is used to represent a model generated by stacking the target objects of the same type according to the classification quantity; a seventh determining module for determining a maximum space occupied by the classification stacking models of the plurality of types in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects; an eighth determining module, configured to determine the storage space for storing the target object according to the maximum space.
According to another aspect of the present invention, an embodiment of the present invention further provides a storage medium, where the storage medium includes a stored program, where the apparatus on which the storage medium is located is controlled to execute the method for determining the storage space described above when the program runs.
According to another aspect of the present invention, an embodiment of the present invention further provides a processor, where the processor is configured to execute a program, where the program executes the method for determining the storage space described above.
In the embodiment of the invention, the control computing equipment acquires the storage rate and the extraction rate of the target objects, determines the number of the target objects stored in unit time and the number of the target objects extracted in unit time, determines the maximum number of the target objects stored in a preset time period according to the storage rate and the extraction rate, and then determines the storage space required by the target objects according to the maximum number, so that the aim of determining the storage space of the target objects is fulfilled, the technical effect of reasonably setting the storage space for storing the target objects is realized, the storage space can meet the storage requirement of the target objects in a preset time range, the space waste caused by the overlarge storage space is avoided, and the technical problem that the storage space cannot be accurately predicted is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of a method for determining storage space according to an embodiment of the present invention;
fig. 2 is a first schematic diagram of a method for simulating the logistics of a crude ore storage yard based on system simulation software according to an embodiment of the invention;
fig. 3 is a schematic diagram two of a crude ore yard logistics simulation method based on system simulation software according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a storage space determining apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The storage space determining method provided by the invention can be applied to the field of mining industry, and the storage yard space for storing and transferring ores is predicted by the storage space determining method.
In accordance with an embodiment of the present invention, there is provided an embodiment of a method for determining storage space, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowchart, in some cases, the steps illustrated or described may be performed in an order different than that described herein.
Fig. 1 is a flowchart of a method for determining a storage space according to an embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102, the computing device obtains a storage rate and a taking-out rate of the target object, wherein the storage rate represents the number of the target objects put into the storage positions in unit time, and the taking-out rate represents the number of the target objects taken out of the storage positions in unit time;
step S104, determining the maximum number of the target objects stored in the storage positions in a preset time period according to the storage rate and the taking-out rate;
and step S106, determining a storage space for storing the target object according to the maximum quantity.
Through the steps, the computing equipment is controlled to obtain the storage rate and the taking-out rate of the target objects, the number of the target objects stored in unit time is determined, the number of the target objects taken out in unit time is determined, the maximum number of the target objects stored in the preset time period is determined according to the storage rate and the taking-out rate, the storage space required by the target objects is determined according to the maximum number, the purpose of determining the storage space of the target objects is achieved, the technical effect of reasonably setting the storage space for storing the target objects is achieved, the storage space can meet the storage requirement of the target objects in the preset time range, space waste caused by overlarge storage space is avoided, and the technical problem that the storage space cannot be accurately predicted is solved.
In the scenario provided in step S102, the target object may be used to represent an ore, or a simulation model of an ore.
As an alternative embodiment, before the computing device obtains the storage rate and the retrieval rate of the target object, the embodiment may further include: acquiring a volume parameter of a target object; and establishing a volume model of the target object according to the volume parameters.
By adopting the embodiment of the invention, before the storage rate and the taking-out rate of the target object are obtained, the volume parameter of the target object is obtained, the volume model of the target object is established according to the volume parameter, and then the volume model can be used for replacing the original target object to simulate the storage and the taking-out of the target object, so that the storage space for storing the target object can be further determined according to the volume model of the target object.
Alternatively, the storage and retrieval of the target object over a predetermined time period may be simulated in terms of a storage rate and a retrieval rate using a volumetric model of the target object.
In the case where the target object is ore, the volume model further includes the following parameters: ore volume, mass, density, grade, location.
In the scheme provided in step S104, a storage model for storing the target object may be determined according to the storage rate, a retrieval model for retrieving the target object may be determined according to the retrieval rate, and then the maximum number of target objects stored in the storage location of the target object within a predetermined time period may be determined according to the storage model and the retrieval model.
Alternatively, the storage location may be a predetermined space having a capacity to accommodate any number of target objects.
As an alternative example, the storage process and the retrieval process of the target object at the storage location may be simulated by a volume model, and then the maximum number of volume models in the storage location within a predetermined time range may be determined, and then the storage space of the target object may be predicted according to the maximum number of volume models.
In the scheme provided in step S106, the storage space required for storing the target object may be determined according to the maximum number of target objects.
Optionally, in a case where the target object is simulated by using the volume model, the volume of the target object may be determined according to the volume parameter, and then the volume occupied by the plurality of target objects may be determined, thereby determining the storage space for storing the target object.
As an alternative embodiment, determining the storage space for storing the target object according to the maximum number comprises: determining a stacking model of the target object according to the volume model, wherein the stacking model is used for representing a model generated by stacking the maximum number of target objects; determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of volumes of a maximum number of target objects; and determining a storage space for storing the target object according to the maximum space.
By adopting the above embodiment of the present invention, a plurality of target objects can be stacked in the storage location, a stacking model for stacking the plurality of target objects can be determined according to the volume model of the target objects, and further, in the case of determining the maximum number of target objects within a predetermined time period, a stacking model generated by stacking the maximum number of target objects can be determined, and the maximum space required to store the stacking model is determined according to the stacking model, thereby determining the storage space required to store the target objects.
The volume of the maximum space is not less than the sum of the volumes of the maximum number of target objects.
Alternatively, the stacking model for stacking a plurality of target objects may be a cone, a cylinder or a prism. In the case where the stacking model is a cylinder or a prism, the maximum space for stacking the target object may be determined according to the volume of the cylinder or the prism; in the case that the stacking model is a cone, the volume of the cylinder or prism where the stacking model is located can be determined according to the maximum area of the horizontal projection of the stacking model, and then the maximum space for stacking the target object can be determined.
Alternatively, the maximum space for the target object may be determined from the projected horizontal area of the stacking model, and the land area required to be occupied by the target object may be determined.
As an alternative embodiment, determining the storage space for storing the target object according to the maximum number comprises: determining the type corresponding to each target object under the condition of the maximum quantity; determining the classification number of each type of target object, wherein the classification number is used for representing the number of the target objects included in each type; determining a classification stacking model corresponding to each type according to the classification quantity, wherein the classification stacking model is used for representing a model generated by stacking the target objects of the same type according to the classification quantity; determining a maximum space occupied by the plurality of types of classified stacking models in the storage location, wherein the maximum space is not less than a sum of volumes of a maximum number of target objects; and determining a storage space for storing the target object according to the maximum space.
By adopting the above embodiment of the present invention, after the maximum number of the target objects is determined to be stored in the predetermined time period, the type of each target object and the classification number of the target objects included in each type can be determined, and then the target objects are classified and stacked to generate a plurality of classification stacking models, wherein the number of the target objects of the same type included in each classification stacking model is the same as the classification number, and further, the maximum space for storing the target objects can be determined according to the plurality of classification stacking models, thereby determining the storage space of the target objects.
Alternatively, in the case where the target object is an ore, the type of the target object may be classified according to the grade of the ore.
The grade refers to the content ratio of a useful element or a compound thereof in the ore, and the higher the content is, the higher the grade is.
As an alternative example, the target object may be divided into corresponding types, and a classification stacking model corresponding to each type of target object is established, so that when the classification stacking models are all cones, the volume of a prism or a cylinder where each cone classification stack model is located may be determined, and further, a storage space for storing the target object is determined according to the volumes of the plurality of prisms or cylinders.
The invention also provides a preferred embodiment, which provides a crude ore storage yard logistics simulation method based on system simulation software.
Fig. 2 is a schematic diagram of a method for simulating logistics of a raw ore yard based on system simulation software according to an embodiment of the present invention, that is, as shown in fig. 2, an ore agent and an ore blending object may be compiled according to geological data of mineral resources of a mine and a mining scheme.
Optionally, the main function of the ore agent (volume model) is to serve as a carrier of the actual ore in the virtual space, simulating the logistics transportation process of the ore in the raw ore yard, and the main parameters of the ore agent include ore volume, quality, density, grade, position, etc.
Optionally, the ore blending object is a simulation model of the belt control equipment, and the main function is to complete ore blending of each ore heap according to the grade and yield of the ore to obtain an ore heap object.
Alternatively, the heap object may be a simulation model (stacking model) of the heap, and the main function is to complete the raw ore delivered by the stacking and ore-matching object.
Alternatively, the extraction object may be a simulation model of the extraction apparatus, the primary function being to extract ore from the heap object onto a belt for transport to the smelter.
Alternatively, in the case of extracting ore by taking an ore object, it may be determined whether the grade of the taken ore is acceptable through ore detection, and in the case that the grade of the taken ore is not acceptable, the ore blending object is adjusted and ore blending is performed again.
Fig. 3 is a second schematic diagram of a raw ore yard logistics simulation method based on system simulation software according to an embodiment of the present invention, as shown in fig. 3, in the case of stacking ores through a stacking object, the ores may be stacked according to grades, for example, divided into a high-grade ore stack and a low-grade ore stack, and then in the process of ore blending through a ore blending object, ores of different grades may be extracted from the high-grade ore stack and the low-grade ore stack, respectively, so as to complete ore blending.
Alternatively, the heap object may also be used to complete the ore (or ore agent) transported by the stockpiled mine, wherein the high grade heap and the low grade heap may be separated according to the grade of the ore.
Alternatively, the ore blending object can obtain ores (or ore intelligent bodies) from the high-grade ore heap and the low-grade ore heap to complete ore blending.
Optionally, the ore stacking mode comprises: horizontal stockpiling and vertical stockpiling, and the main coefficients comprise ore heap state, total number of ore intelligent bodies, distribution of ore intelligent bodies, grade distribution and the like.
The crude ore storage yard logistics simulation method based on the system simulation software realizes the simulation analysis of the whole operation flow of the crude ore storage yard, and visually analyzes and three-dimensionally displays the matching relation of the ore logistics process and the production cycle by animation. The method for simulating the material flow of the raw ore storage yard realizes the verification and optimization of the design scheme of the raw ore storage yard, and improves the design precision and the reliability of the storage yard process.
According to the raw ore yard logistics simulation method based on the system simulation software, the logistics transportation process of ores in the yard can be simulated in the three-dimensional model by compiling the ore intelligent body and taking the ore intelligent body as a simulation model of actual ores.
Optionally, the ore agent may embody its own volume, weight, grade, location, etc.
According to the crude ore storage yard logistics simulation method based on the system simulation software, the ore blending objects are compiled, and automatic ore blending can be performed according to mine geological data, a mining scheme and storage yard configuration.
According to the raw ore yard logistics simulation method based on the system simulation software, the yard object is compiled, self management can be achieved according to ore blending requirements, and the yard state, the total number of ore intelligent bodies, the distribution of the ore intelligent bodies, the grade distribution, the average grade and the like can be provided.
The method for simulating the logistics of the crude ore storage yard based on the system simulation software can realize the matching of the production period.
The method for simulating the logistics of the crude ore storage yard based on the system simulation software can be used for setting a high-grade storage yard and a low-grade storage yard.
The method for simulating the material flow of the crude ore storage yard based on the system simulation software can simulate the whole operation process of the crude ore storage yard through simulation calculation from the aspects of ore stacking, ore blending, ore taking, production cycle matching and the like, and intuitively analyzes the matching relation between the material flow process and the production cycle. Based on system simulation software, the logistics simulation method is introduced into the design of the crude ore storage yard, the design scheme of the crude ore storage yard is optimized and verified, the method of designing only depending on experience and estimation is changed, the design precision is improved, the reliability of the storage yard process is improved, the use efficiency of the storage yard is improved, the capital investment is reduced, the land resource is saved, and meanwhile, the energy is saved and the operation cost is reduced.
According to yet another embodiment of the present invention, there is also provided a storage medium including a stored program, wherein the program performs any one of the methods described above when executed.
According to yet another embodiment of the present invention, there is also provided a processor for executing a program, wherein the program executes to perform any one of the methods described above.
According to an embodiment of the present invention, an embodiment of a storage space determining apparatus is further provided, and it should be noted that the storage space determining apparatus may be configured to execute a storage space determining method in the embodiment of the present invention, and the storage space determining method in the embodiment of the present invention may be executed in the storage space determining apparatus.
Fig. 4 is a schematic diagram of an apparatus for determining a storage space according to an embodiment of the present invention, and as shown in fig. 4, the apparatus may include: an acquisition unit 31 configured to control a storage rate and a retrieval rate at which the computing device acquires the target object, wherein the storage rate indicates the number of target objects placed in the storage locations per unit time, and the retrieval rate indicates the number of target objects retrieved from the storage locations per unit time; a first determination unit 33 for determining the maximum number of target objects stored in the storage location for a predetermined time period based on the storage rate and the retrieval rate; a second determining unit 35, configured to determine a storage space for storing the target object according to the maximum number.
It should be noted that the acquiring unit 31 in this embodiment may be configured to execute step S102 in this embodiment, the first determining unit 33 in this embodiment may be configured to execute step S104 in this embodiment, and the second determining unit 35 in this embodiment may be configured to execute step S106 in this embodiment. The modules are the same as the corresponding steps in the realized examples and application scenarios, but are not limited to the disclosure of the above embodiments.
In the above embodiment of the present invention, the storage rate and the retrieval rate of the target object are obtained by controlling the computing device, the number of the stored target objects in the unit time is determined, the number of the retrieved target objects in the unit time is determined, the maximum number of the stored target objects in the predetermined time period is determined according to the storage rate and the retrieval rate, and then the storage space required for storing the target object is determined according to the maximum number, so as to achieve the purpose of determining the storage space of the target object, thereby achieving the technical effect of reasonably setting the storage space for storing the target object, enabling the storage space to meet the storage requirement of the target object in the predetermined time range, avoiding space waste caused by excessively large storage space setting, and further solving the technical problem that the storage space cannot be accurately predicted.
As an alternative embodiment, the apparatus further comprises: the first acquisition module is used for acquiring the volume parameter of the target object before the calculation equipment acquires the storage rate and the taking-out rate of the target object; and the establishing module is used for establishing a volume model of the target object according to the volume parameters.
As an alternative embodiment, the second determination unit includes: a first determining module, configured to determine a stacking model of the target object according to the volume model, wherein the stacking model is used to represent a model generated by stacking a maximum number of target objects; a second determining module for determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of volumes of a maximum number of target objects; and the third determining module is used for determining the storage space for storing the target object according to the maximum space.
As an alternative embodiment, the second determination unit includes: the fourth determining module is used for determining the type corresponding to each target object under the condition of the maximum quantity; a fifth determining module, configured to determine a classification number of each type of target object, where the classification number is used to indicate a number of target objects included in each type; a sixth determining module, configured to determine a classified stacking model corresponding to each type according to the classified number, where the classified stacking model is used to represent a model generated by stacking target objects of the same type according to the classified number; a seventh determining module for determining a maximum space occupied by the plurality of types of classified stacking models in the storage location, wherein the maximum space is not less than a sum of volumes of a maximum number of target objects; and the eighth determining module is used for determining the storage space for storing the target object according to the maximum space.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (6)
1. A method for determining storage space, comprising:
the method comprises the steps that a computing device obtains a storage rate and a taking-out rate of a target object, wherein the storage rate represents the number of target objects placed in storage positions in a unit time, and the taking-out rate represents the number of target objects taken out of the storage positions in the unit time;
determining the maximum number of the target objects stored in the storage positions in a preset time period according to the storage rate and the taking-out rate;
determining a storage space for storing the target object according to the maximum number;
before the computing device obtains the storage rate and the taking-out rate of the target object, the method further comprises the following steps:
acquiring a volume parameter of the target object;
establishing a volume model of the target object according to the volume parameters, wherein the volume model further comprises the following parameters in the case that the target object is an ore: ore volume, mass, density, grade, location;
wherein determining a storage space for storing the target object according to the maximum number comprises:
determining a stacking model of the target object according to the volume model, wherein the stacking model is used for representing a model generated by stacking the maximum number of the target objects;
determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects;
determining the storage space for storing the target object according to the maximum space;
wherein the stacking model for stacking a plurality of target objects is a cone and is a cylinder or a prism, wherein in the case that the stacking model is a cylinder or a prism, the maximum space for stacking the target objects is determined according to the volume of the cylinder or the prism; and under the condition that the stacking model is conical, determining the volume of a cylinder or a prism where the stacking model is located according to the maximum area of the horizontal projection of the stacking model, and determining the maximum space of a stacking target object according to the volume of the cylinder or the prism.
2. The method of claim 1, wherein determining a storage space for storing the target object according to the maximum number comprises:
determining the type corresponding to each target object under the condition of the maximum quantity;
determining the classification number of the target objects of each type, wherein the classification number is used for representing the number of the target objects included in each type;
determining a classification stacking model corresponding to each type according to the classification quantity, wherein the classification stacking model is used for representing a model generated by stacking the target objects of the same type according to the classification quantity;
determining a maximum space occupied by the classification stacking models of the plurality of types in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects;
determining the storage space for storing the target object according to the maximum space.
3. An apparatus for determining storage space, comprising:
an acquisition unit configured to control a storage rate and a retrieval rate at which a computing device acquires a target object, wherein the storage rate indicates a number of the target objects placed in a storage location in a unit time, and the retrieval rate indicates a number of the target objects retrieved from the storage location in the unit time;
a first determining unit, configured to determine, according to the storage rate and the retrieval rate, a maximum number of the target objects stored in the storage location within a predetermined time period;
a second determining unit, configured to determine, according to the maximum number, a storage space for storing the target object;
wherein the apparatus further comprises:
the device comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring the volume parameter of a target object before the calculation equipment acquires the storage rate and the taking-out rate of the target object;
an establishing module, configured to establish a volume model of the target object according to the volume parameter, where, in a case where the target object is an ore, the volume model further includes the following parameters: ore volume, mass, density, grade, location;
wherein the second determination unit includes:
a first determining module, configured to determine a stacking model of the target object according to the volume model, wherein the stacking model is used to represent a model generated by stacking the maximum number of the target objects;
a second determining module for determining a maximum space occupied by the stacking model in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects;
a third determining module, configured to determine the storage space for storing the target object according to the maximum space;
wherein the stacking model for stacking a plurality of target objects is a cone and is a cylinder or a prism, wherein in the case that the stacking model is a cylinder or a prism, the maximum space for stacking the target objects is determined according to the volume of the cylinder or the prism; and under the condition that the stacking model is conical, determining the volume of a cylinder or a prism where the stacking model is located according to the maximum area of the horizontal projection of the stacking model, and determining the maximum space of a stacking target object according to the volume of the cylinder or the prism.
4. The apparatus according to claim 3, wherein the second determining unit comprises:
a fourth determining module, configured to determine a type corresponding to each target object under the condition of the maximum number;
a fifth determining module, configured to determine a classification number of the target objects of each type, where the classification number is used to indicate a number of the target objects included in each type;
a sixth determining module, configured to determine, according to the classification quantity, a classification stacking model corresponding to each type, where the classification stacking model is used to represent a model generated by stacking the target objects of the same type according to the classification quantity;
a seventh determining module for determining a maximum space occupied by the classification stacking models of the plurality of types in the storage location, wherein the maximum space is not less than a sum of the volumes of the maximum number of the target objects;
an eighth determining module, configured to determine the storage space for storing the target object according to the maximum space.
5. A storage medium, characterized in that the storage medium comprises a stored program, wherein the program when executed performs the method of claim 1 or 2.
6. A processor, characterized in that the processor is configured to run a program, wherein the program when running performs the method of claim 1 or 2.
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