CN115456437A - Logistics storage cabinet scheduling management and control system - Google Patents
Logistics storage cabinet scheduling management and control system Download PDFInfo
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Abstract
The invention discloses a logistics storage cabinet scheduling management and control system, which relates to the technical field of storage cabinet scheduling management and control and solves the technical problems that in the prior art, a logistics storage cabinet cannot accurately manage and control two processes of goods storage and goods execution storage; the storage rationality of real-time storage equipment of the storage cabinet is analyzed, so that the storage safety of the storage cabinet is improved, the collision risk in the storage process is reduced, and the working efficiency of goods storage is accelerated; the storage cabinet is subjected to real-time stress detection, whether the real-time stress of the storage cabinet is qualified or not is judged, and potential safety hazards of the storage cabinet in the storage process are prevented.
Description
Technical Field
The invention relates to the technical field of warehouse cabinet scheduling management and control, in particular to a logistics warehouse cabinet scheduling management and control system.
Background
The storage scheduling management is an important component of a production enterprise, in the daily management of the enterprise, each link of the enterprise such as production operation, daily cost control and the like is influenced, the traditional simple and static warehouse operation cannot ensure the efficient utilization of various resources of the enterprise, if the correctness of goods input and output and inventory control cannot be ensured, the management cost is increased, the service quality is difficult to ensure, and the competitiveness of the enterprise is influenced;
however, in the prior art, the logistics storage cabinet cannot accurately manage and control goods storage and goods execution storage processes, and cannot control the safety of the storage cabinet storage process while ensuring the storage efficiency of the storage cabinet;
in view of the above technical drawbacks, a solution is proposed.
Disclosure of Invention
The invention aims to solve the problems, and provides a logistics storage cabinet scheduling and controlling system which is used for detecting the real-time arrangement of goods stored in a storage cabinet and judging whether the arrangement of the goods in the storage cabinet is qualified or not, so that the storage efficiency of the storage cabinet is improved, the management and control force of the storage cabinet is improved, and the goods storage and taking efficiency is improved to the greatest extent; deposit the rationality analysis with the real-time equipment of depositing of storing compartment to improve the security of depositing of storing compartment, reduce the collision risk of depositing the in-process, be favorable to accelerating the work efficiency that the goods was deposited.
The purpose of the invention can be realized by the following technical scheme:
the utility model provides a logistics storage cabinet dispatch management and control system, includes the server, and the server is connected with:
the real-time goods placement detection unit is used for detecting the placement of goods stored in the storage cabinet in real time, analyzing the storage cabinet storing the goods in real time and dividing the storage area of the storage cabinet into a qualified storage area and an unqualified storage area; analyzing and generating an equipment execution low-efficiency signal and a warehouse management low-efficiency signal according to the unqualified storage area, and sending the equipment execution low-efficiency signal and the warehouse management low-efficiency signal to a server;
the storage rationality analysis unit is used for carrying out storage rationality analysis on real-time storage equipment of the storage cabinet, analyzing a storage qualified area of the storage cabinet, generating a storage collision risk signal and a storage rationality analysis qualified signal according to the storage collision risk signal and the storage rationality analysis qualified signal, and sending the storage rationality analysis qualified signal to the server;
the storage cabinet stress detection unit is used for carrying out real-time stress detection on the storage cabinet, analyzing a goods storage area of the storage cabinet in real time, generating a storage stress qualified signal, an overall risk signal and a local risk signal through analysis, and sending the signals to the server;
and the scheduling analysis execution unit is used for performing scheduling analysis on the real-time goods storage area of the warehouse cabinet, marking the goods storage area corresponding to the overall risk signal as an overall risk area, marking the goods storage area corresponding to the local risk signal as a local risk area, generating an instant scheduling signal, a delayed priority scheduling signal, a delivery regulation signal and a normal delivery signal through analysis, and sending the instant scheduling signal, the delayed priority scheduling signal, the delivery regulation signal and the normal delivery signal to the server.
As a preferred embodiment of the present invention, the operation process of the real-time cargo placement detection unit is as follows:
the area ratio of the stored goods in real time in the corresponding storage area of the storage cabinet and the area of the movable area of the corresponding stored goods in the current storage area are collected and compared with the area ratio threshold value and the area threshold value of the movable area respectively:
if the area occupation ratio of the real-time stored goods in the storage area corresponding to the storage cabinet exceeds the area occupation ratio threshold value, or the area of the movable area of the corresponding stored goods in the current storage area does not exceed the area threshold value of the movable area, marking the corresponding storage area as a qualified storage area, and simultaneously sending the number of the qualified storage area to the server; if the area ratio of the real-time stored goods in the storage area corresponding to the storage cabinet does not exceed the area ratio threshold value, and the area of the movable area corresponding to the stored goods in the current storage area exceeds the area threshold value of the movable area, marking the corresponding storage area as an unqualified storage area, generating a regional goods mortgage signal and sending the regional goods mortgage signal to the server.
As a preferred embodiment of the invention, the weight of the stored goods in the unqualified storage area is analyzed, if the weight of the stored goods in the unqualified storage area exceeds the weight threshold of the corresponding stored goods, the equipment warehousing efficiency of the current unqualified storage area is judged to be unqualified, an equipment execution low-efficiency signal is generated, and the equipment execution low-efficiency signal is sent to a server; and if the weight of the stored goods in the unqualified storage area does not exceed the weight threshold of the corresponding stored goods, judging that the warehouse management efficiency of the current unqualified storage area is unqualified, generating a warehouse management low-efficiency signal and sending the warehouse management signal to the server.
As a preferred embodiment of the present invention, the storage rationality analyzing unit operates as follows:
acquiring the excess quantity of the longitudinal height and the actual height of stored goods in a storage qualified area of the storage cabinet, the transverse gap distance of the storage qualified area after the goods are stored, and the volume occupied value of the stored goods in the storage qualified area of the storage cabinet; obtaining a storage rationality analysis coefficient of a corresponding storage qualified area of the storage cabinet through analysis; comparing the storage rationality analysis coefficient of the storage cabinet corresponding to the storage qualified area with the threshold range of the storage rationality analysis coefficient:
if the storage rationality analysis coefficient of the storage cabinet corresponding to the storage qualified area exceeds the threshold range of the storage rationality analysis coefficient, generating a storage collision risk signal and sending the storage collision risk signal to a server; if the storage rationality analysis coefficient of the storage cabinet corresponding to the storage qualified area is in the storage rationality analysis coefficient threshold range, generating a storage rationality analysis qualified signal and sending the storage rationality analysis qualified signal to the server; if the storage rationality analysis coefficient of the corresponding storage qualified area of the storage cabinet is lower than the threshold range of the storage rationality analysis coefficient, generating a storage low-efficiency signal and sending the storage low-efficiency signal to the server.
As a preferred embodiment of the present invention, the operation process of the storage cabinet stress detection unit is as follows:
the stress point position in the goods area is deposited in real time by the storage cabinet is collected and marked as a real-time stress position, the shortest distance between adjacent real-time stress positions in the goods area is deposited in real time by the storage cabinet and the maximum stress value difference between corresponding real-time stress positions is collected and is respectively compared with the shortest distance threshold range and the maximum stress value difference threshold:
if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is in the shortest distance threshold range and the maximum stress value difference between corresponding real-time stress positions does not exceed the maximum stress value difference threshold, judging that the storage cabinet is qualified in stress detection, generating a storage stress qualified signal and sending the storage stress qualified signal to a server; if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is not within the shortest distance threshold range, generating an integral risk signal and sending the integral risk signal and the serial number of the corresponding goods storage area to a server; and if the maximum stress value difference between the corresponding real-time stress positions exceeds the maximum stress value difference threshold, generating a local risk signal and sending the local risk signal and the serial number of the corresponding goods storage area to the server.
As a preferred embodiment of the present invention, the operation process of the analysis execution unit to be scheduled is as follows:
the method comprises the following steps of collecting the shaking frequency of the storage cabinet to which the whole risk area belongs and the abnormal sound decibel value of equipment in the operation process of the corresponding storage cabinet, and comparing the shaking frequency with the shaking frequency threshold and the abnormal sound decibel value threshold respectively:
if the shaking frequency of the storage cabinet to which the whole risk area belongs exceeds a shaking frequency threshold value, or the abnormal sound decibel value of equipment in the running process of the corresponding storage cabinet exceeds an abnormal sound decibel value threshold value, generating an instant scheduling signal and sending the instant scheduling signal to a server; and if the shaking frequency of the storage cabinet to which the whole risk area belongs does not exceed the shaking frequency threshold value and the abnormal sound decibel value of the equipment in the running process of the corresponding storage cabinet does not exceed the abnormal sound decibel value threshold value, generating a delay priority scheduling signal and sending the delay priority scheduling signal to a server.
As a preferred embodiment of the present invention, a time length difference corresponding to the time of delivery of the goods stored in the local risk area corresponding to the time of delivery and a predicted required time length for replenishment of the goods stored in the local risk area after delivery are collected and compared with a time length difference threshold and a required time length threshold, respectively:
if the corresponding time length difference value of the warehouse-out time of the goods stored in the local risk area corresponding to the warehouse-out time exceeds the time length difference threshold value, or the estimated demand time length of replenishment after the goods stored in the local risk area corresponding to the warehouse-out time exceeds the demand time length threshold value, generating a warehouse-out adjusting signal and sending the warehouse-out adjusting signal to a server, and the server receives the warehouse-out adjusting signal; if the corresponding time length difference value of the warehouse-out time of the goods correspondingly stored in the local risk area does not exceed the time length difference threshold value, and the estimated demand time length of the goods replenishment after the goods correspondingly stored in the local risk area are unloaded does not exceed the demand time length threshold value, generating a normal warehouse-out signal and sending the normal warehouse-out signal to the server.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, the goods stored in the storage cabinet in real time are placed and detected, and whether the goods in the storage cabinet are placed is judged to be qualified, so that the storage efficiency of the storage cabinet is improved, the management and control force of the storage cabinet is improved, and the goods storage and taking efficiency is improved to the greatest extent; the storage rationality of real-time storage equipment of the storage cabinet is analyzed, so that the storage safety of the storage cabinet is improved, the collision risk in the storage process is reduced, and the working efficiency of goods storage is accelerated;
2. according to the invention, the real-time stress of the storage cabinet is detected, whether the real-time stress of the storage cabinet is qualified or not is judged, the potential safety hazard of the storage cabinet in the storage process is prevented, and the abrasion of equipment of the storage cabinet is increased; the goods storage area of the warehouse cabinet for real-time storage is subjected to scheduling analysis, the safety of regional scheduling execution is improved, the efficiency of the warehouse cabinet for goods delivery from the warehouse is guaranteed, and the accident risk in the goods delivery process is reduced.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a schematic block diagram of the present invention as a whole;
FIG. 2 is a schematic block diagram of embodiment 1 of the present invention;
fig. 3 is a schematic block diagram of embodiment 2 of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, 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.
Referring to fig. 1, a logistics storage cabinet scheduling management and control system comprises a server, wherein the server is in communication connection with a real-time goods placement detection unit, a storage cabinet stress detection unit, a to-be-scheduled analysis execution unit and a storage rationality analysis unit, and the server and the real-time goods placement detection unit, the storage cabinet stress detection unit, the to-be-scheduled analysis execution unit and the storage rationality analysis unit are in bidirectional communication connection;
example 1
Referring to fig. 2, in the real-time warehousing process of the logistics storage cabinet, the real-time storage of the storage cabinet is supervised, so that the real-time storage of the storage cabinet is efficient, the working strength of goods leaving the warehouse is reduced, and the rationality of goods storage is improved;
the storage cabinet of depositing the goods in real time carries out the analysis, gathers the area proportion of depositing the goods in real time in the storage area corresponding to the storage cabinet and the portable region area of depositing the goods in current storage area correspondingly to with the storage cabinet corresponding storage area in real time deposit the area proportion of goods and the portable region area of depositing the goods in current storage area correspondingly respectively with area proportion threshold value and portable region area threshold value and compare:
if the area ratio of the real-time stored goods in the storage area corresponding to the storage cabinet exceeds the area ratio threshold value, or the area of the movable area corresponding to the stored goods in the current storage area does not exceed the area threshold value of the movable area, judging that the goods placement detection of the storage area corresponding to the storage cabinet is qualified, marking the corresponding storage area as a qualified storage area, and sending the number of the qualified storage area to the server;
if the area ratio of the real-time stored goods in the corresponding storage area of the storage cabinet does not exceed the area ratio threshold value, and the area of the movable area corresponding to the stored goods in the current storage area exceeds the area threshold value of the movable area, judging that the goods placement detection of the corresponding storage area of the storage cabinet is unqualified, marking the corresponding storage area as an unqualified storage area, generating a regional goods alignment signal and sending the regional goods alignment signal to a server; analyzing the weight of the stored goods in the unqualified storage area, if the weight of the stored goods in the unqualified storage area exceeds the corresponding weight threshold of the stored goods, judging that the warehousing efficiency of the equipment in the unqualified storage area is unqualified, generating an equipment execution low-efficiency signal and sending the equipment execution low-efficiency signal to a server;
if the weight of the stored goods in the unqualified storage area does not exceed the weight threshold of the corresponding stored goods, judging that the warehouse management efficiency of the current unqualified storage area is unqualified, generating a warehouse management low-efficiency signal and sending the warehouse management signal to a server;
after receiving the regional goods finishing signal, the server resets the goods in the corresponding unqualified storage region, and finishes the corresponding warehouse entry equipment executive personnel or warehouse management personnel after receiving the equipment execution low-efficiency signal or the warehouse management low-efficiency signal, so that the working efficiency of the personnel is ensured;
the server generates a storage rationality analysis signal and sends the storage rationality analysis signal to the storage rationality analysis unit, and the storage rationality analysis unit performs storage rationality analysis on real-time storage equipment of the storage cabinet after receiving the storage rationality analysis signal, so that the storage safety of the storage cabinet is improved, the collision risk in the storage process is reduced, and the working efficiency of goods storage is accelerated;
analyzing the qualified storage area of the storage cabinet, acquiring the excess amount of the longitudinal height of the qualified storage area of the storage cabinet and the actual height of stored goods and the transverse gap spacing of the qualified storage area after goods are stored, and respectively marking the excess amount of the longitudinal height of the qualified storage area of the storage cabinet and the actual height of the stored goods and the transverse gap spacing of the qualified storage area after goods are stored as GCC and JXJ; acquiring a volume occupancy value of goods stored in a qualified storage area of the storage cabinet, and marking the volume occupancy value of the goods stored in the qualified storage area of the storage cabinet as ZYZ;
by the formula
Obtaining a storage rationality analysis coefficient X of a storage qualified area corresponding to a storage cabinet, wherein f1, f2 and f3 are preset proportionality coefficients, f1 is larger than f2 and larger than f3 is larger than 0, and beta is an error correction factor and takes the value of 1.3654;
comparing the storage rationality analysis coefficient X of the storage cabinet corresponding to the storage qualified area with the storage rationality analysis coefficient threshold range:
if the storage rationality analysis coefficient X of the storage cabinet corresponding to the storage qualified area exceeds the storage rationality analysis coefficient threshold range, judging that collision risk exists in the storage of the goods of the storage cabinet corresponding to the storage qualified area, generating a storage collision risk signal and sending the storage collision risk signal to a server, after the server receives the storage collision risk signal, slowing down the delivery progress of the corresponding goods when the corresponding storage qualified area is delivered out of the warehouse, preventing goods collision, and simultaneously subsequently screening the specification of the stored goods in the current storage qualified area;
if the storage rationality analysis coefficient X of the storage cabinet corresponding to the storage qualified area is in the storage rationality analysis coefficient threshold range, judging that the storage rationality analysis of the storage cabinet corresponding to the storage qualified area is qualified, generating a storage rationality analysis qualified signal and sending the storage rationality analysis qualified signal to a server;
if the storage rationality analysis coefficient X of the storage cabinet corresponding to the storage qualified area is lower than the storage rationality analysis coefficient threshold range, judging that the storage efficiency of the goods of the storage cabinet corresponding to the storage qualified area is low, generating a storage low-efficiency signal and sending the storage low-efficiency signal to a server, and rescheduling the goods stored in the corresponding storage qualified area after the server receives the storage low-efficiency signal;
example 2
Referring to fig. 3, in the real-time storage process of the logistics storage cabinet, the storage cabinet is monitored in real time, whether the storage state is normal at the current time is judged, and the working efficiency of goods storage is ensured; the server generates a stress detection signal of the storage cabinet and sends the stress detection signal of the storage cabinet to the stress detection unit of the storage cabinet, and the stress detection unit of the storage cabinet detects the stress of the storage cabinet in real time after receiving the stress detection signal of the storage cabinet, so as to judge whether the real-time stress of the storage cabinet is qualified or not, prevent the storage cabinet from having potential safety hazards in the storage process and increase the abrasion of equipment of the storage cabinet;
the goods region is deposited in real time with the storage cabinet and is analyzed, gather the stress point position in the goods region is deposited in real time to the storage cabinet, and mark it as real-time stress position, gather the shortest interval of the adjacent real-time stress position in the goods region is deposited in real time to the storage cabinet and correspond the biggest stress value difference between the real-time stress position, and deposit the shortest interval of the adjacent real-time stress position in the goods region and correspond the biggest stress value difference between the real-time stress position with the storage cabinet and compare with shortest interval threshold value scope and the biggest stress value difference threshold value respectively:
if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is in the shortest distance threshold range and the maximum stress value difference between corresponding real-time stress positions does not exceed the maximum stress value difference threshold, judging that the storage cabinet is qualified in stress detection, generating a storage stress qualified signal and sending the storage stress qualified signal to a server;
if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is not within the shortest distance threshold range, determining that the goods storage dispersity of the storage cabinet is unqualified, easily causing the storage cabinet equipment to be worn due to concentrated stress, generating an integral risk signal and sending the integral risk signal and the serial number of the corresponding goods storage area to a server;
if the maximum stress value difference between the corresponding real-time stress positions exceeds the maximum stress value difference threshold value, judging that goods in the storage cabinet are stored unevenly, easily causing uneven local stress of the storage cabinet, easily causing the storage cabinet to incline, generating a local risk signal and sending the local risk signal and the corresponding goods storage area number to a server;
the server generates a signal to be scheduled, analyzed and executed and sends the signal to be scheduled, analyzed and executed to the unit to be scheduled, and the unit to be scheduled, analyzed and executed receives the signal to be scheduled, and then performs scheduling analysis on the real-time goods storage area of the warehouse cabinet, so that the safety of regional scheduling execution is improved, the efficiency of the warehouse cabinet corresponding to goods leaving the warehouse is ensured, and the accident risk in the goods leaving process is reduced;
marking the goods storage area corresponding to the overall risk signal as an overall risk area, and marking the goods storage area corresponding to the local risk signal as a local risk area; the method comprises the following steps of collecting the shaking frequency of the storage cabinet belonging to the whole risk area and the equipment abnormal sound decibel value in the operation process of the corresponding storage cabinet, and comparing the shaking frequency of the storage cabinet belonging to the whole risk area and the equipment abnormal sound decibel value in the operation process of the corresponding storage cabinet with a shaking frequency threshold value and an abnormal sound decibel value threshold value respectively:
if the shaking frequency of the storage cabinet to which the whole risk area belongs exceeds the shaking frequency threshold value or the abnormal sound decibel value of the equipment in the running process of the corresponding storage cabinet exceeds the abnormal sound decibel value threshold value, judging that the whole risk area needs to be immediately scheduled, generating an instant scheduling signal and sending the instant scheduling signal to a server; after receiving the instant scheduling signal, the server performs instant scheduling on the corresponding overall risk area;
if the shaking frequency of the storage cabinet to which the whole risk area belongs does not exceed the shaking frequency threshold value and the abnormal sound decibel value of the equipment in the running process of the corresponding storage cabinet does not exceed the abnormal sound decibel value threshold value, judging that the whole risk area can be subjected to delay scheduling, generating a delay priority scheduling signal and sending the delay priority scheduling signal to a server, and after receiving the delay priority scheduling signal, the server does not schedule the corresponding whole risk area in real time, but performs scheduling preferentially when scheduling requirements exist;
acquiring a time length difference corresponding to the warehouse-out time of the goods stored in the local risk area and a predicted demand time length of replenishment of the goods stored in the local risk area after the goods are taken out of the warehouse, and comparing the time length difference corresponding to the warehouse-out time of the goods stored in the local risk area and the predicted demand time length of replenishment of the goods stored in the local risk area after the goods are taken out of the warehouse with a time length difference threshold and a demand time length threshold respectively:
if the corresponding time length difference value of the warehouse-out time of the corresponding stored goods in the local risk area exceeds the time length difference threshold value, or the estimated demand time length of replenishment of the corresponding stored goods in the local risk area after warehouse-out exceeds the demand time length threshold value, judging that the warehouse-out risk of the local risk area is high, generating a warehouse-out adjusting signal and sending the warehouse-out adjusting signal to a server, after receiving the warehouse-out adjusting signal, the server delivers the stored goods in the corresponding local risk area out, and performs position adjustment on the residual goods, or replenishes the goods which have the weight difference value with the residual goods which does not exceed the quality difference threshold value;
if the corresponding time length difference value of the warehouse-out time of the goods correspondingly stored in the local risk area does not exceed the time length difference threshold value, and the estimated demand time length of the goods replenishment after the goods are correspondingly stored in the local risk area and are discharged from the warehouse does not exceed the demand time length threshold value, judging that the warehouse-out risk of the local risk area is low, generating a normal warehouse-out signal and sending the normal warehouse-out signal to the server.
The formulas are obtained by acquiring a large amount of data and performing software simulation, and the coefficients in the formulas are set by the technicians in the field according to actual conditions;
when the storage cabinet is used, goods stored in the storage cabinet in real time are placed and detected through the goods real-time placement detection unit, the storage cabinet storing the goods in real time is analyzed, and a storage area of the storage cabinet is divided into a storage qualified area and a storage unqualified area; analyzing and generating an equipment execution low-efficiency signal and a warehouse management low-efficiency signal according to the unqualified storage area, and sending the equipment execution low-efficiency signal and the warehouse management low-efficiency signal to a server; the storage rationality analysis unit is used for analyzing the storage rationality of real-time storage equipment of the storage cabinet, analyzing storage qualified areas of the storage cabinet, generating storage collision risk signals and storage rationality analysis qualified signals according to the storage collision risk signals and the storage rationality analysis qualified signals, and sending the storage collision risk signals and the storage rationality analysis qualified signals to the server; the storage cabinet stress detection unit is used for detecting the stress of the storage cabinet in real time, analyzing a goods storage area of the storage cabinet in real time, generating a storage stress qualified signal, an overall risk signal and a local risk signal through analysis, and sending the signals to the server; the real-time goods storage area of the warehouse cabinet is subjected to dispatching analysis through the dispatching analysis execution unit, the goods storage area corresponding to the overall risk signal is marked as an overall risk area, the goods storage area corresponding to the local risk signal is marked as a local risk area, and an instant dispatching signal, a delayed priority dispatching signal, a warehouse-out adjusting signal and a normal warehouse-out signal are generated through analysis and sent to the server.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. The utility model provides a logistics storage cabinet dispatch management and control system which characterized in that, includes the server, and the server is connected with:
the real-time goods placement detection unit is used for performing placement detection on goods stored in the storage cabinet in real time, analyzing the storage cabinet storing the goods in real time, and dividing a storage area of the storage cabinet into a qualified storage area and an unqualified storage area; analyzing and generating an equipment execution low-efficiency signal and a warehouse management low-efficiency signal according to the unqualified storage area, and sending the equipment execution low-efficiency signal and the warehouse management low-efficiency signal to a server;
the storage rationality analysis unit is used for carrying out storage rationality analysis on real-time storage equipment of the storage cabinet, analyzing a storage qualified area of the storage cabinet, generating a storage collision risk signal and a storage rationality analysis qualified signal according to the storage collision risk signal and the storage rationality analysis qualified signal, and sending the storage rationality analysis qualified signal to the server;
the storage cabinet stress detection unit is used for carrying out real-time stress detection on the storage cabinet, analyzing a goods storage area of the storage cabinet in real time, generating a storage stress qualified signal, an integral risk signal and a local risk signal through analysis, and sending the signals to the server;
and the scheduling analysis execution unit is used for performing scheduling analysis on the real-time goods storage area of the warehouse cabinet, marking the goods storage area corresponding to the overall risk signal as an overall risk area, marking the goods storage area corresponding to the local risk signal as a local risk area, generating an instant scheduling signal, a delayed priority scheduling signal, a delivery regulation signal and a normal delivery signal through analysis, and sending the instant scheduling signal, the delayed priority scheduling signal, the delivery regulation signal and the normal delivery signal to the server.
2. The logistics storage cabinet scheduling management and control system of claim 1, wherein the operation process of the real-time goods placement detection unit is as follows:
the area ratio of the goods stored in the storage area corresponding to the storage cabinet in real time and the movable area of the goods stored in the current storage area are collected and compared with the area ratio threshold value and the movable area threshold value respectively:
if the area occupation ratio of the real-time stored goods in the storage area corresponding to the storage cabinet exceeds the area occupation ratio threshold value, or the area of the movable area of the corresponding stored goods in the current storage area does not exceed the area threshold value of the movable area, marking the corresponding storage area as a qualified storage area, and simultaneously sending the number of the qualified storage area to the server; if the area ratio of the real-time stored goods in the storage area corresponding to the storage cabinet does not exceed the area ratio threshold value, and the area of the movable area corresponding to the stored goods in the current storage area exceeds the area threshold value of the movable area, marking the corresponding storage area as an unqualified storage area, generating a regional goods mortgage signal and sending the regional goods mortgage signal to the server.
3. The logistics storage cabinet scheduling management and control system according to claim 2, wherein the weight of the stored goods in the area with unqualified storage is analyzed, if the weight of the stored goods in the area with unqualified storage exceeds the corresponding weight threshold of the stored goods, the equipment storage efficiency of the area with unqualified storage at present is judged to be unqualified, an equipment execution low-efficiency signal is generated, and the equipment execution low-efficiency signal is sent to the server; and if the weight of the stored goods in the unqualified storage area does not exceed the weight threshold of the corresponding stored goods, judging that the warehouse management efficiency of the current unqualified storage area is unqualified, generating a warehouse management low-efficiency signal and sending the warehouse management signal to the server.
4. The logistics storage cabinet scheduling management and control system according to claim 1, wherein the operation process of the storage rationality analysis unit is as follows:
acquiring the excess quantity of the longitudinal height and the actual height of stored goods in a storage qualified area of the storage cabinet, the transverse gap distance of the storage qualified area after the goods are stored, and the volume occupied value of the stored goods in the storage qualified area of the storage cabinet; obtaining a storage rationality analysis coefficient of a corresponding storage qualified area of the storage cabinet through analysis; comparing the storage rationality analysis coefficient of the corresponding storage qualified area of the storage cabinet with the threshold range of the storage rationality analysis coefficient:
if the storage rationality analysis coefficient of the storage cabinet corresponding to the storage qualified area exceeds the storage rationality analysis coefficient threshold range, generating a storage collision risk signal and sending the storage collision risk signal to a server; if the storage rationality analysis coefficient of the storage cabinet corresponding to the storage qualified area is in the storage rationality analysis coefficient threshold range, generating a storage rationality analysis qualified signal and sending the storage rationality analysis qualified signal to the server; if the storage rationality analysis coefficient of the corresponding storage qualified area of the storage cabinet is lower than the threshold range of the storage rationality analysis coefficient, generating a storage low-efficiency signal and sending the storage low-efficiency signal to the server.
5. The logistics storage cabinet scheduling management and control system according to claim 1, wherein the operation process of the storage cabinet stress detection unit is as follows:
the stress point position in the goods area is stored in real time in the storage cabinet is collected and marked as a real-time stress position, the shortest distance between adjacent real-time stress positions in the goods area is stored in real time in the storage cabinet and the maximum stress value difference between corresponding real-time stress positions is collected and is respectively compared with the shortest distance threshold range and the maximum stress value difference threshold:
if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is in the shortest distance threshold range and the maximum stress value difference between corresponding real-time stress positions does not exceed the maximum stress value difference threshold, judging that the storage cabinet is qualified in stress detection, generating a storage stress qualified signal and sending the storage stress qualified signal to a server; if the shortest distance between adjacent real-time stress positions in the real-time goods storage area of the storage cabinet is not within the shortest distance threshold range, generating an integral risk signal and sending the integral risk signal and the serial number of the corresponding goods storage area to a server; and if the maximum stress value difference between the corresponding real-time stress positions exceeds the maximum stress value difference threshold value, generating a local risk signal and sending the local risk signal and the corresponding goods storage area number to the server.
6. The logistics storage cabinet scheduling management and control system of claim 1, wherein the operation process of the analysis execution unit to be scheduled is as follows:
the method comprises the following steps of collecting the shaking frequency of the storage cabinet to which the whole risk area belongs and the abnormal sound decibel value of equipment in the operation process of the corresponding storage cabinet, and comparing the shaking frequency with the shaking frequency threshold and the abnormal sound decibel value threshold respectively:
if the shaking frequency of the storage cabinet to which the whole risk area belongs exceeds a shaking frequency threshold value, or the abnormal sound decibel value of equipment in the running process of the corresponding storage cabinet exceeds an abnormal sound decibel value threshold value, generating an instant scheduling signal and sending the instant scheduling signal to a server; and if the shaking frequency of the storage cabinet to which the whole risk area belongs does not exceed the shaking frequency threshold value and the abnormal sound decibel value of the equipment in the operation process of the corresponding storage cabinet does not exceed the abnormal sound decibel value threshold value, generating a delay priority scheduling signal and sending the delay priority scheduling signal to the server.
7. The logistics storage cabinet scheduling management and control system of claim 6, wherein the difference of the time length corresponding to the delivery time of the stored goods in the local risk area and the expected demand time length for replenishment after the stored goods are delivered from the local risk area are collected and compared with the time length difference threshold and the demand time length threshold respectively:
if the corresponding time length difference value of the warehouse-out time of the goods stored in the local risk area corresponding to the warehouse-out time exceeds the time length difference threshold value, or the estimated demand time length of replenishment after the goods stored in the local risk area corresponding to the warehouse-out time exceeds the demand time length threshold value, generating a warehouse-out adjusting signal and sending the warehouse-out adjusting signal to a server, and the server receives the warehouse-out adjusting signal; and if the corresponding time length difference value of the warehouse-out time corresponding to the goods stored in the local risk area does not exceed the time length difference threshold value, and the estimated demand time length of replenishment after the goods are correspondingly stored in the local risk area and are discharged from the warehouse does not exceed the demand time length threshold value, generating a normal warehouse-out signal and sending the normal warehouse-out signal to the server.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116029704A (en) * | 2023-03-27 | 2023-04-28 | 浙江虎哥数字科技有限公司 | Method, system and medium for recycling recyclable articles |
| CN116187908A (en) * | 2023-03-21 | 2023-05-30 | 江陵县百顺通达物流有限公司 | Warehouse logistics intelligent management method and system based on image recognition |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178606A (en) * | 2019-12-22 | 2020-05-19 | 南京理工大学 | Automatic warehouse storage position allocation optimization method based on NSGA-II |
| WO2020233227A1 (en) * | 2019-05-23 | 2020-11-26 | 北京京东尚科信息技术有限公司 | Warehousing task processing method and apparatus, warehousing system, and storage medium |
| CN112215556A (en) * | 2020-10-26 | 2021-01-12 | 马鞍山钢晨钢铁物流园有限公司 | Intelligent warehousing system |
| CN112407727A (en) * | 2020-11-20 | 2021-02-26 | 深圳市海柔创新科技有限公司 | Goods storage method, device, robot, warehousing system and storage medium |
| CN113213054A (en) * | 2021-05-12 | 2021-08-06 | 深圳市海柔创新科技有限公司 | Adjustment method, device, equipment, robot and warehousing system of goods taking and placing device |
| CN113934967A (en) * | 2021-10-18 | 2022-01-14 | 力源智信(苏州)科技有限公司 | Intelligent storage sample-checking feedback supervision system for coal samples |
| CN114418407A (en) * | 2022-01-21 | 2022-04-29 | 合肥天特自动化科技有限公司 | Storage automation management and control system based on data analysis |
| CN114663004A (en) * | 2022-01-26 | 2022-06-24 | 国网江苏省电力有限公司物资分公司 | Intelligent warehouse management system |
-
2022
- 2022-09-22 CN CN202211156299.0A patent/CN115456437B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020233227A1 (en) * | 2019-05-23 | 2020-11-26 | 北京京东尚科信息技术有限公司 | Warehousing task processing method and apparatus, warehousing system, and storage medium |
| CN111178606A (en) * | 2019-12-22 | 2020-05-19 | 南京理工大学 | Automatic warehouse storage position allocation optimization method based on NSGA-II |
| CN112215556A (en) * | 2020-10-26 | 2021-01-12 | 马鞍山钢晨钢铁物流园有限公司 | Intelligent warehousing system |
| CN112407727A (en) * | 2020-11-20 | 2021-02-26 | 深圳市海柔创新科技有限公司 | Goods storage method, device, robot, warehousing system and storage medium |
| CN113213054A (en) * | 2021-05-12 | 2021-08-06 | 深圳市海柔创新科技有限公司 | Adjustment method, device, equipment, robot and warehousing system of goods taking and placing device |
| CN113934967A (en) * | 2021-10-18 | 2022-01-14 | 力源智信(苏州)科技有限公司 | Intelligent storage sample-checking feedback supervision system for coal samples |
| CN114418407A (en) * | 2022-01-21 | 2022-04-29 | 合肥天特自动化科技有限公司 | Storage automation management and control system based on data analysis |
| CN114663004A (en) * | 2022-01-26 | 2022-06-24 | 国网江苏省电力有限公司物资分公司 | Intelligent warehouse management system |
Non-Patent Citations (3)
| Title |
|---|
| FEI NI: "A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem", 《PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING》, pages 99 - 100 * |
| 李姗姗;张浩;: "自动化仓储调度管理控制系统的设计与应用", 机电信息, no. 09 * |
| 柏承东;: "自动化立体仓库控制系统在安全管理中的运用", 设备管理与维修, no. 11 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116187908A (en) * | 2023-03-21 | 2023-05-30 | 江陵县百顺通达物流有限公司 | Warehouse logistics intelligent management method and system based on image recognition |
| CN116187908B (en) * | 2023-03-21 | 2023-12-22 | 岳阳礼一科技股份有限公司 | Warehouse logistics intelligent management method and system based on image recognition |
| CN116029704A (en) * | 2023-03-27 | 2023-04-28 | 浙江虎哥数字科技有限公司 | Method, system and medium for recycling recyclable articles |
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