CN112258132B - Warehouse management method, system, computer equipment and storage medium - Google Patents
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Abstract
The present disclosure provides a warehouse management method, a system, a computer device, and a storage medium, the method comprising: dividing each target area in a warehouse into a plurality of detection areas; transmitting and collecting detection signals in each detection area respectively so as to detect each detection area; then, respectively carrying out fractional Fourier transform on the detection signals acquired in each detection area; confirming whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirming whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area; and then storing the articles according to the article storage conditions of the target areas. According to the technical scheme, the resource utilization rate of storage can be improved, centralized and unified storage of the same type of goods is automatically achieved, and the operation efficiency of storage is improved.
Description
Technical Field
The present disclosure relates to the field of warehouse management, and in particular, to a warehouse management method, a warehouse management system, a computer device, and a computer-readable storage medium.
Background
In the economy of electronic commerce, warehouse management is an important ring, how to improve the storage capacity of a warehouse as much as possible, grasp the actual utilization condition of each warehouse dynamically in real time, arrange the transportation work of goods according to the condition of each warehouse, and is particularly important to carry out unified management on the transportation of goods.
However, at present, when materials are stored in a warehouse, the materials are mainly checked and recorded in a manual mode, related data are not registered timely, actual utilization conditions of various warehouses cannot be grasped dynamically in real time, and because different materials in the warehouses are different in characteristics and storage quantity, partial materials are stored everywhere, and empty storage positions are idle in storage position channels occupied by other materials, so that storage position waste is caused, whether all areas of the warehouse are full of the materials cannot be determined, whether the materials stored in the same area are of the same type cannot be determined, resources cannot be fully utilized, and when the materials are put into the warehouse, the goods are arranged and put into the warehouse manually, the problem that the stored materials are scattered possibly exists, and the storage distribution is uneven and the utilization rate is not high is caused.
Disclosure of Invention
The present disclosure provides a warehouse management method, a system, a computer device, and a computer readable storage medium, which can improve the resource utilization rate of warehouse, realize centralized and unified storage of the same type of goods, and improve the operation efficiency of warehouse.
In a first aspect, an embodiment of the present disclosure provides a warehouse management method, including:
dividing each target area in a warehouse into a plurality of detection areas;
transmitting and collecting detection signals in each detection area respectively so as to detect each detection area;
carrying out fractional Fourier transform on detection signals acquired in each detection area respectively;
confirming whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirming whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area; the method comprises the steps of,
and storing the articles according to the article storage conditions of the target areas.
Further, the following formula is adopted for performing fractional fourier transform on the detection signals collected in each detection area:
wherein f i (t) is the detection signal acquired in the ith detection region, F ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
Further, the determining whether the articles are stored in each detection area according to the result of the fractional fourier transform, and further determining whether the articles stored in each detection area are the same type of articles when the articles are stored, includes:
for the ith detection region, if the Fourier transform order p is taken to be multipleThe different values respectively correspond to the obtained results F of the fractional Fourier transform ip If the difference value between any two of the two detection areas is smaller than the preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
after confirming that some articles are stored in the detection areas, if the Fourier transform order p takes the same value, judging whether the values of the fractional Fourier transform results of the detection areas with articles are the same, and if so, confirming that the articles stored in the detection areas with articles are the same type of articles.
Further, the detection signal adopts an optical signal, an acoustic wave signal, an electromagnetic wave signal or a ray signal.
Further, the storing the articles according to the article storing conditions of the target areas includes:
when goods are required to be stored in the warehouse, detecting the goods by using the same detection signals adopted for detecting each detection area of each target area, and collecting signals after detecting the goods;
and carrying out fractional Fourier transform on the acquired signals after detecting the cargoes, inputting the signals into a filter for denoising, comparing the waveforms of the signals after denoising with the preset waveforms of the signals after detecting various types of articles, so as to confirm the types of the cargoes, and storing the cargoes in a target area stored with the articles of the same type according to the types of the cargoes.
In a second aspect, an embodiment of the present disclosure provides a warehouse management system, including: the system comprises a dividing module, a signal acquisition module, a signal processing module, an analysis module and a management module;
the dividing module is used for dividing each target area into a plurality of detection areas;
the signal acquisition module is arranged to respectively send and acquire detection signals in each detection area so as to detect each detection area;
the signal processing module is used for respectively carrying out fractional Fourier transform on detection signals acquired in each detection area;
the analysis module is arranged to confirm whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirm whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area;
the management module is arranged to store the articles according to the article storage conditions of the target areas.
Further, the signal processing module performs fractional fourier transform on the detection signals acquired in each detection area, and the following formula is adopted:
wherein f i (t) is the detection signal acquired in the ith detection region, F ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
Further, the analysis module includes:
a determining unit configured to obtain, for the ith detection region, a result F of each fractional Fourier transform obtained by respectively corresponding a plurality of different values to the Fourier transform order p ip If the difference value between any two of the two detection areas is smaller than a preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
and an analysis unit configured to determine whether the values of the results of the fractional Fourier transform of the detection areas in which the articles are stored are the same when the Fourier transform order p assumes the same value after confirming that the articles are stored in some detection areas, and confirm that the articles stored in the detection areas in which the articles are stored are the same type of articles if the values of the results of the fractional Fourier transform are the same.
Further, the signal acquisition module respectively transmits and acquires detection signals in each detection area by adopting optical signals, acoustic wave signals, electromagnetic wave signals or ray signals.
Further, the management module comprises a detection unit, a comparison unit and a storage unit;
the detection unit is used for detecting the goods by using the same detection signals adopted for detecting each detection area of each target area when the goods need to be stored in the warehouse, and collecting signals after the goods are detected;
the signal processing module is further arranged to input the signals acquired by the detection unit after the detection of the goods into a filter for denoising after fractional Fourier transform;
the comparison unit is used for comparing the waveform of the denoised signal with the waveform of the signal obtained by carrying out fractional Fourier transform on the signal detected by various types of objects to confirm the type of the goods;
the storage unit is configured to store the goods in a target area in which the same type of goods are stored, according to the type of the goods.
In a third aspect, embodiments of the present disclosure further provide a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the warehouse management method according to any one of the first aspects.
In a fourth aspect, embodiments of the present disclosure also provide a computer-readable storage medium, comprising: a computer program which, when run on a computer, causes the computer to perform the warehouse management method as described in any one of the first aspects.
The beneficial effects are that:
the warehouse management method, the warehouse management system, the computer equipment and the computer readable storage medium provided by the disclosure divide each target area in a warehouse into a plurality of detection areas; transmitting and collecting detection signals in each detection area respectively so as to detect each detection area; performing fractional Fourier transform on detection signals acquired in each detection area respectively; confirming whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirming whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area; and then storing the articles according to the article storage conditions of the target areas. According to the technical scheme, whether articles are stored in each storage area or not can be accurately determined through real-time detection signal acquisition, whether the articles stored in the target areas are of the same type or not is determined, then storage of the articles is uniformly managed according to the article storage conditions of each target area, the resource utilization rate of storage is improved, the purpose of uniformly storing the same type of articles in a centralized mode is achieved, and the operation efficiency of storage is improved.
Drawings
Fig. 1 is a flowchart of a warehouse management method according to a first embodiment of the disclosure;
fig. 2 is a schematic diagram of target area division according to a first embodiment of the disclosure;
fig. 3 is a schematic diagram of a warehouse management system according to a second embodiment of the disclosure.
Detailed Description
In order that those skilled in the art will better understand the technical solutions of the present disclosure, the present disclosure will be described in further detail with reference to the accompanying drawings and examples.
Wherein the terminology used in the embodiments of the disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure of embodiments and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
The existing warehousing system is used for intelligently controlling and managing the logistics process, and has the problems of low logistics information processing efficiency, insufficient positioning, insufficient warehousing utilization and the like. At present, when goods and materials are stored in a warehouse, the manual mode is adopted for checking and inputting goods, relevant data are not registered timely, actual utilization conditions of various warehouses cannot be grasped dynamically in real time, and because different goods in the warehouses are different in characteristics and storage quantity, part of goods are stored everywhere, and empty storage is idle in a storage channel occupied by other goods, so that storage waste is caused; therefore, whether all areas of the warehouse are full of articles or not cannot be determined, whether the stored articles are of the same type or not cannot be determined, resources cannot be fully utilized, and when the articles are put in storage, the articles are arranged and put in storage manually, the problem that the stored articles are scattered may exist, and therefore storage distribution is uneven and the utilization rate is not high.
The following describes the technical solutions of the present disclosure and how the technical solutions of the present disclosure solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments.
Fig. 1 is a flowchart of a warehouse management method according to a first embodiment of the present disclosure, as shown in fig. 1, where the method includes:
step S101: dividing each target area in a warehouse into a plurality of detection areas;
step S102: transmitting and collecting detection signals in each detection area respectively so as to detect each detection area;
step S103: carrying out fractional Fourier transform on detection signals acquired in each detection area respectively;
step S104: confirming whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirming whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area; the method comprises the steps of,
step S105: and storing the articles according to the article storage conditions of the target areas.
The embodiment can be applied to various places for storing articles, taking a warehouse as an example, dividing each target area of the warehouse into a plurality of small areas, wherein the target areas can be each room of the warehouse, the warehouse is divided into a plurality of areas, or the whole warehouse can be regarded as one target area, the small areas are areas needing to be detected, which are also called detection areas, fig. 2 is a schematic diagram of dividing the target areas, and each detection area is numbered for convenience in description, as shown in fig. 2. In each detection area, such as detection areas 01 and 02, a signal collector and a signal transmitter are respectively arranged. And the detection signals, such as optical signals, acoustic signals and the like, are transmitted in each detection area through the signal transmitter, the detection areas are detected respectively to judge the occupation condition of the detection areas, when the objects exist in the detection areas, the detection signals can be blocked, reflected, absorbed, refracted and the like by the objects, the signals acquired by the signal acquisition device receive the information of the objects, the signals detected by the detection areas are acquired in each detection area, and then the acquired detection signals are subjected to fractional Fourier transform. The information of the signals in the time domain and the frequency domain is obtained through fractional Fourier transform so as to determine whether each detection area stores articles, article characteristic information is further obtained according to the signals when the articles are stored, whether the articles stored in each detection area are of the same type is determined, after all the test points of different detection areas are analyzed, article storage conditions of each target area are obtained, and therefore the conditions of which areas in the warehouse store the same type of articles can be judged, and which areas are free. And sending the article storage conditions of each area to a resource controller, storing the resource occupation conditions of each area into a database, and decomposing the task into an idle target area if the resource controller inquires that an available idle area exists. The resource controller reasonably and uniformly distributes resources according to feedback conditions, so that the resource utilization rate can be improved, and the automation management level of warehousing is provided.
Of course, the method of the present embodiment can also be applied to other places where articles are stored, such as parking lots and houses.
Further, the following formula is adopted for performing fractional fourier transform on the detection signals collected in each detection area:
wherein f i (t) is the detection signal acquired in the ith detection region, F ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
The general p-th order fourier transform formula is:
Further, the determining whether the articles are stored in each detection area according to the result of the fractional fourier transform, and further determining whether the articles stored in each detection area are the same type of articles when the articles are stored, includes:
for the ith detection region, if the Fourier transform order p takes the results F of the fractional Fourier transforms respectively obtained by respectively corresponding a plurality of different values ip If the difference value between any two of the two detection areas is smaller than the preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
after confirming that some articles are stored in the detection areas, if the Fourier transform order p takes the same value, judging whether the values of the fractional Fourier transform results of the detection areas with articles are the same, and if so, confirming that the articles stored in the detection areas with articles are the same type of articles.
If the object exists in the detection area, the detection signal is influenced, and when the Fourier transform order p takes a plurality of different values, the result F of each fractional Fourier transform ip The values of (u) may vary; if at all p values F ip The values of (u) are basically consistent, the obtained detection signals are transmitted detection signals, the area is a blank area and is not occupied, and the preset value of the difference value can be set according to the actual situation after the test. Further, if the test points have the same value when P takes the same value for each detection area, P generally takes the optimal order, which indicates that the obtained characteristic peaks are the same, and the areas exist in the same type of object. And recording the idle area of the target area, and sorting the articles in the areas where the articles are stored, so that the articles stored in one target area are of the same type, wherein the types of the articles are made of materials of the articles, such as metal, plastic, paper and the like.
Further, the detection signal adopts an optical signal, an acoustic wave signal, an electromagnetic wave signal or a ray signal.
The detection signal is selected according to actual conditions, if the detection area is provided with articles, good effects can be achieved by utilizing the optical signal, if the characteristic information of the articles is to be obtained, the characteristics of the articles obtained by the optical signal are possibly less, and generally, an ultrasonic signal or a terahertz signal is adopted, so that whether the articles are of the same type can be confirmed according to the absorption spectrum characteristics of the articles.
Further, the storing the articles according to the article storing conditions of the target areas includes:
when goods are required to be stored in the warehouse, detecting the goods by using the same detection signals adopted for detecting each detection area of each target area, and collecting signals after detecting the goods;
and carrying out fractional Fourier transform on the acquired signals after detecting the cargoes, inputting the signals into a filter for denoising, comparing the waveforms of the signals after denoising with the preset waveforms of the signals after detecting various types of articles, so as to confirm the types of the cargoes, and storing the cargoes in a target area stored with the articles of the same type according to the types of the cargoes.
The frequency of the characteristic peak after fractional Fourier transform is carried out on the signals of various types of articles obtained by the detection signals is stored in advance, then the frequency results of the characteristic peak obtained by detecting and denoising the articles when the articles are stored are compared by using a filter, the types of the articles can be automatically confirmed, and the articles are transported to corresponding target areas by an automatic transport device, so that the articles of the same type are stored in a concentrated mode.
According to the embodiment of the disclosure, whether articles are stored in each storage area can be accurately determined, whether the articles stored in the target areas are of the same type or not is determined, the actual utilization condition of each warehouse is grasped dynamically in real time, then the storage of the articles is uniformly managed by the resource controller according to the article storage condition of each target area, the resource utilization rate of storage is improved, the unified storage of the same type of articles in a centralized mode is realized, and the operation efficiency of storage is improved.
Fig. 3 is a warehouse management system provided in a second embodiment of the present disclosure, as shown in fig. 3, including: the system comprises a dividing module 1, a signal acquisition module 2, a signal processing module 3, an analysis module 4 and a management module 5;
the dividing module 1 is configured to divide each target area into a plurality of detection areas;
the signal acquisition module 2 is configured to send and acquire detection signals in each detection area respectively so as to detect each detection area;
the signal processing module 3 is configured to perform fractional fourier transform on the detection signals acquired in each detection area;
the analysis module 4 is configured to confirm whether articles are stored in each detection area according to the result of fractional fourier transform, and further confirm whether the articles stored in each detection area are the same type of articles when the articles are stored, so as to obtain the article storage condition of each target area;
the management module 5 is configured to store items according to the item storage status of each target area.
Further, the warehouse management system also comprises a sending module 6;
the transmitting module 6 is arranged to transmit the object deposit condition of the target area to the management module.
Further, the signal processing module 3 performs fractional fourier transform on the detection signals collected in each detection area, and the following formula is adopted:
wherein f i (t) is the detection signal acquired in the ith detection region, F ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
Further, the analysis module 4 includes:
a determination unit configured to, for the ith detection regionIf the Fourier transform order p takes the results F of the fractional Fourier transform obtained by respectively and correspondingly obtaining a plurality of different values ip If the difference value between any two of the two detection areas is smaller than a preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
and an analysis unit configured to determine whether the values of the results of the fractional Fourier transform of the detection areas in which the articles are stored are the same when the Fourier transform order p assumes the same value after confirming that the articles are stored in some detection areas, and confirm that the articles stored in the detection areas in which the articles are stored are the same type of articles if the values of the results of the fractional Fourier transform are the same.
Further, the signal acquisition module 2 sends and acquires detection signals in each detection area respectively by adopting optical signals, acoustic signals, electromagnetic wave signals or ray signals.
Further, the management module 5 comprises a detection unit, a comparison unit and a storage unit;
the detection unit is used for detecting the goods by using the same detection signals adopted for detecting each detection area of each target area when the goods need to be stored in the warehouse, and collecting signals after the goods are detected;
the signal processing module 2 is further configured to input a signal acquired by the detection unit and subjected to fractional Fourier transform to a filter for denoising;
the comparison unit is used for comparing the waveform of the denoised signal with the waveform of the signal obtained by carrying out fractional Fourier transform on the signal detected by various types of objects to confirm the type of the goods;
the storage unit is configured to store the goods in a target area in which the same type of goods are stored, according to the type of the goods.
The warehouse management system of the embodiment of the present disclosure is used to implement the warehouse management method of the first embodiment of the method, so the description is simpler, and specific reference may be made to the related description of the first embodiment of the method, which is not repeated here.
Furthermore, the embodiment of the disclosure also provides a computer device, including a memory and a processor, where the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the possible methods.
Furthermore, embodiments of the present disclosure provide a computer-readable storage medium having stored therein computer-executable instructions that, when executed by at least one processor of a user device, perform the various possible methods described above.
Among them, computer-readable media include computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC (Application SpecificIntegrated Circuit ). In addition, the ASIC may reside in a user device. The processor and the storage medium may reside as discrete components in a communication device.
It is to be understood that the above embodiments are merely exemplary embodiments employed to illustrate the principles of the present disclosure, however, the present disclosure is not limited thereto. Various modifications and improvements may be made by those skilled in the art without departing from the spirit and substance of the disclosure, and are also considered to be within the scope of the disclosure.
Claims (10)
1. A warehouse management method, the method comprising:
dividing each target area in a warehouse into a plurality of detection areas;
transmitting and collecting detection signals in each detection area respectively so as to detect each detection area;
carrying out fractional Fourier transform on detection signals acquired in each detection area respectively;
confirming whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirming whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area; the method comprises the steps of,
storing the articles according to the article storage conditions of the target areas;
wherein, the determining whether the object is stored in each detection area according to the result of the fractional Fourier transform comprises:
for an ith detection area, if the difference value between any two of the fractional Fourier transform results obtained by respectively and correspondingly taking a plurality of different values by the Fourier transform order p is smaller than a preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
the determining whether the objects stored in each detection area are the same type of objects comprises:
after confirming that some articles are stored in the detection areas, if the Fourier transform order p takes the same value, judging whether the values of the fractional Fourier transform results of the detection areas with articles are the same, and if so, confirming that the articles stored in the detection areas with articles are the same type of articles.
2. The method of claim 1 wherein the fractional fourier transform of the acquired probe signals in each probe region uses the formula:
wherein f i (t) F for the detection signal acquired in the ith detection zone ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
3. The method of claim 1, wherein the detection signal is an optical signal, an acoustic signal, an electromagnetic wave signal, or a radiation signal.
4. The method of claim 1, wherein storing the items according to the item storage status of each target area comprises:
when goods are required to be stored in the warehouse, detecting the goods by using the same detection signals adopted for detecting each detection area of each target area, and collecting signals after detecting the goods;
and carrying out fractional Fourier transform on the acquired signals after detecting the cargoes, inputting the signals into a filter for denoising, comparing the waveforms of the signals after denoising with the preset waveforms of the signals after detecting various types of articles, so as to confirm the types of the cargoes, and storing the cargoes in a target area stored with the articles of the same type according to the types of the cargoes.
5. A warehouse management system, comprising: the system comprises a dividing module, a signal acquisition module, a signal processing module, an analysis module and a management module;
the dividing module is used for dividing each target area into a plurality of detection areas;
the signal acquisition module is arranged to respectively send and acquire detection signals in each detection area so as to detect each detection area;
the signal processing module is used for respectively carrying out fractional Fourier transform on detection signals acquired in each detection area;
the analysis module is arranged to confirm whether articles are stored in each detection area according to the result of fractional Fourier transform, and further confirm whether the articles stored in each detection area are the same article when the articles are stored, so as to obtain the article storage condition of each target area;
the management module is arranged to store articles according to the article storage conditions of the target areas;
wherein, the determining whether the object is stored in each detection area according to the result of the fractional Fourier transform comprises:
for an ith detection area, if the difference value between any two of the fractional Fourier transform results obtained by respectively and correspondingly taking a plurality of different values by the Fourier transform order p is smaller than a preset value, confirming that no article is stored in the ith detection area, otherwise, confirming that the article is stored in the ith detection area;
the determining whether the objects stored in each detection area are the same type of objects comprises:
after confirming that some articles are stored in the detection areas, if the Fourier transform order p takes the same value, judging whether the values of the fractional Fourier transform results of the detection areas with articles are the same, and if so, confirming that the articles stored in the detection areas with articles are the same type of articles.
6. The system of claim 5 wherein the signal processing module performs fractional fourier transforms on the acquired probe signals in each probe region using the formula:
wherein f i (t) is in the ith detection zoneDetected signals collected in the domain, F ip (u) is F i (t) results obtained by fractional Fourier transform, K p (u, t) is a kernel function of a fractional Fourier transform,
j 2 = -1, p is fourier transform order, p is 0.ltoreq.p.ltoreq.1.
7. The system of claim 5, wherein the detection signals respectively transmitted and collected by the signal collection module in each detection area are optical signals, acoustic signals, electromagnetic signals, or radiation signals.
8. The system of claim 5, wherein the management module comprises a detection unit, a comparison unit, and a storage unit;
the detection unit is used for detecting the goods by using the same detection signals adopted for detecting each detection area of each target area when the goods need to be stored in the warehouse, and collecting signals after the goods are detected;
the signal processing module is further arranged to input the signals acquired by the detection unit after the detection of the goods into a filter for denoising after fractional Fourier transform;
the comparison unit is used for comparing the waveform of the denoised signal with the waveform of the signal obtained by carrying out fractional Fourier transform on the signal detected by various types of objects to confirm the type of the goods;
the storage unit is configured to store the goods in a target area in which the same type of goods are stored, according to the type of the goods.
9. A computer device comprising a memory and a processor, the memory having a computer program stored therein, the processor performing the warehouse management method of any of claims 1-4 when the processor runs the computer program stored in the memory.
10. A computer-readable storage medium, comprising: computer program which, when run on a computer, causes the computer to perform the warehouse management method according to any one of claims 1-4.
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