The present invention illustrates a warehouse system, and more particularly, a warehouse system capable of detecting load quantity variations by using gravity sensors.
With rapid development of technologies, various virtual and physical logistic transaction modes are also adopted in our daily life. For example, a retail transaction mode of unmanned stores is implemented according to technologies of intelligent life communications promoted by government. The retail transaction mode of the unmanned stores is an innovative concept. In addition to changing traditional business management method, the unmanned stores are required to introduce more recognition technologies, product information and communications technologies. Therefore, the retail transaction mode of the unmanned stores can accurately analyze preferences of consumers and thus can provide a new and satisfactory shopping experience for the consumers.
As product quality standards become more strict in recent years, several consumer managements, inventory managements, logistic managements, and product inspection procedures require a lot more manpower. In a traditional physical store, an administrator has to manually update the inventory list, such as purchase volume, shipment volume, a manufacturing date of each product, an expiration date of each product in the warehouse at any time. Since a variety of products are provided in the traditional physical stores, different kinds of products are disposed at different positions. In a traditional physical store, many staffs have to constantly move around to check if the inventory list matches various products. When the administrators move around in the store, customers shopping at the aisles are interfered by the movements of the administrators.
In a current unmanned store, a consumer can directly pick up products placed on the shelves. Before the consumer leaves the store, an electronic wallet interface of a smart phone can display a total purchase price and automatically perform a payment process. Since the payment process can be performed automatically, manpower consumption can be greatly reduced. For example, each product placed on a shelf has a radio frequency identification (RFID) barcode indicating its price. Therefore, a sensor of the unmanned store can generate a total purchase price of the consumer. However, since a variety of products can be provided in the unmanned store, the sensor of a shelf cannot detect quantity variation of each kind of products. The sensor can only detect a total purchase price or a variation of a total weight of all products. Therefore, the administrators still need to periodically check the inventory of the shelf, such as the inventory of a crane machine, or inventory of fresh fruits and vegetables in the large frozen warehouse. In other words, in the traditional physical stores and current unmanned stores, their logistic managements cannot be operated under a fully automated mode.
In an embodiment of the present invention, a warehouse system is disclosed. The warehouse system comprises N carriers, N gravity sensor sets, a scale device, and a computer device. Each carrier is configured to dispose at least one load. Each gravity sensor set is disposed below each carrier and configured to detect a loading weight of each carrier. The scale device is disposed below the N carriers and the N gravity sensor sets and configured to detect a total weight of the N carriers, the N gravity sensor sets, and all loads. The computer device is coupled to the N gravity sensor sets and the scale device and configured to generate load quantity variations. When load quantities of M carriers of the N carriers are changed, M gravity sensor sets disposed below the M carriers generate M weight change signals. The computer device generates load quantity variations of the M carriers according to the M weight change signals and a variation of the total weight. M and N are two positive integers and N≥M.
These and other objectives of the present invention will no doubt become obvious to those of ordinary skill in the art after reading the following detailed description of the preferred embodiment that is illustrated in the various figures and drawings.
The scale device SC is disposed below the N carriers C1 to CN and the N gravity sensor sets WS1 to WSN for detecting a total weight of the N carriers C1 to CN, the N gravity sensor sets WS1 to WSN, and all loads (i.e., four identical loads L1, five identical loads L2, . . . , two identical loads LN). The computer device COM is coupled to the N gravity sensor sets WS1 to WSN and the scale device SC for generating load quantity variations. The computer device COM can include a memory MEM for saving a weight of single load disposed on each carrier of the N carriers C1 to CN. For example, the memory MEM can include a lookup table. The lookup table can include information such as “a weight of a single load L1 is 100 grams”, “a weight of a single load L2 is 50 grams”, . . . , “a weight of a single load LN is 200 grams”. The computer device COM can further include a processor P coupled to the memory MEM for generating the load quantity variations when load quantities of some carriers are changed. Further, the warehouse system 100 can further include an analog-to-digital converter ADC coupled to the computer device COM for digitize all weight change signals generated from the N gravity sensor sets WS1 to WSN. Particularly, any reasonable hardware modification of the warehouse system 100 falls into the scope of the present invention. For example, the analog-to-digital converter ADC can be integrated with the computer device COM. Therefore, the N gravity sensor sets WS1 to WSN and the scale device SC can be directly coupled to the computer device COM without introducing an external analog-to-digital converter. In another hardware design, the scale device SC can include its own analog-to-digital converter. Thus, the scale device SC can be directly coupled to the computer device COM. However, the N gravity sensor sets WS1 to WSN are coupled to the computer device COM through the analog-to-digital converter ADC. Further, in the warehouse system 100, the computer device COM can be a gateway or a cloud server. The computer device COM can record the variation of the total weight generated by the scale device SC and all weight change signals outputted by the N gravity sensor sets WS1 to WSN during a predetermined time interval (i.e., for example, during one daytime or one week) in order to analyze logistic trends of the loads L1 to LN.
In the warehouse system 100, detection accuracy of the scale device SC is greater than detection accuracy of each gravity sensor set of the N gravity sensor sets WS1 to WSN. Further, a gravity detection range of the scale device SC is greater than a gravity detection range of the gravity sensor set of the N gravity sensor sets WS1 to WSN. Therefore, the scale device SC can be used for carrying all gravity sensor sets WS1 to WSN, all carriers C1 to CN, and all loads L1 to LN, and detecting the variation of the total weight at any time. An inventory management method performed by the warehouse system 100 is illustrated below.
As previously mentioned, the scale device SC can be used for carrying the carriers C1 to CN and the N gravity sensor sets WS1 to WSN in order to detect the total weight of the N carriers C1 to CN, the N gravity sensor sets WS1 to WSN, and all loads L1 to LN. The scale device SC can detect the variation of the total weight at any time. Therefore, after one of the four loads L1 placed on the carrier C1 is taken away and then two of the five loads L2 placed on the carrier C2 are taken away, the total weight detected by the scale device SC is changed from W grams to W−100 grams, and then changed from W−100 grams to W−200 grams. W is denoted as an initial weight. Therefore, for the computer device COM, when the total weight detected by the scale device SC is changed from the W grams to W−100 grams, the computer device COM can determine that quantity of removed load L1 of the carrier C1 is equal to 100/100=1 according to the first voltage level signal H generated by the first gravity sensor set WS1 disposed below the carrier C1. Then, when the total weight detected by the scale device SC is changed from the W−100 grams to W−200 grams, the computer device COM can determine that quantity of removed load L2 of the carrier C2 is equal to 100/50=2 according to the first voltage level signal H generated by the second gravity sensor set WS2 disposed below the carrier C2. Further, the computer device COM can determine that quantity of removed load LN of the carrier CN is equal to zero according to the second voltage level signal L generated by the Nth gravity sensor set WSN disposed below the carrier CN. Generally, when load quantities of M carriers are changed, loading weights of the M carriers are also changed. When variations of the loading weights of the M carriers are greater than or equal to a threshold value, each of the M weight change signals generated by the M gravity sensor sets disposed below the M carriers of the N carriers includes the first voltage level signal H. The computer device COM can generate load quantity variations of the M carriers according to the M weight change signals and a variation of the total weight. M and N are two positive integers and N≥M. Further, when load quantities of N−M carriers of the N carriers C1 to CN are invariant, loading weights of the N−M carriers maintain constants. Therefore, each of N−M weight change signals generated by N−M gravity sensor sets disposed below the N−M carriers of the N carriers includes the second voltage level signal L.
The aforementioned embodiment illustrates that one of the four loads L1 placed on the carrier C1 is taken away first. Then, two of the five loads L2 placed on the carrier C2 are taken away. Therefore, the total weight detected by the scale device SC is changed from the W grams to W−100 grams, and then changed from the W−100 grams to W−200 grams. However, the warehouse system 100 is not limited to a user gradually taking away different kinds of loads. The warehouse system 100 can also support the user to take away different kinds of loads at the same time. For example, when the user takes away one load L1 placed on the carrier C1 and two loads L2 placed on the carrier C2 at the same time, the first gravity sensor set WS1 and the second gravity sensor set WS2 simultaneously output two first voltage level signals H. Then, the total weight detected by the scale device SC is changed from the W grams to W−200 grams. The memory MEM includes information such as “the weight of the single load L1 is 100 grams”, and “the weight of the single load L2 is 50 grams”. Therefore, the computer device COM can generate a removed load quantity α of the carrier C1 and a removed load quantity β of the carrier C2 by using a linear equation as 100α+50β=200 for α≥1 and β≥1 according to a variation of the total weight (i.e., 200 grams) and the two first voltage level signals H outputted from the first gravity sensor set WS1 and the second gravity sensor set WS2. Here, unique solutions of the equation 100α+50β=200 for α≥1 and β≥1 can be derived as α=1 and β=2. Therefore, even if the user takes away at least one load L1 placed on the carrier C1 and at least one load L2 placed on the carrier C2 at the same time, the warehouse system 100 can detect load quantity variations of the carrier C1 and the carrier C2. In practice, since weights of different kinds of loads are different, the warehouse system 100 can accurately detect variations of load quantities (i.e., all kinds of loads) when the user gradually or simultaneously takes away any kinds of loads. Therefore, the warehouse system 100 can perform the inventory management automatically.
Details of step S301 to step S304 are previously illustrated. Thus, they are omitted here. By using the inventory management method performed by the warehouse system 100 according to step S301 to step S304, the computer device COM can record the variation of the total weight generated by the scale device SC and all weight change signals during the predetermined time interval in order to analyze logistic trends. For example, quantity of a certain kind of loads (i.e., such as the loads LN) is not changed within one week. It implies that no payment process is introduced to the loads LN (or say, a certain kind of products). Therefore, favorability of the loads LN is decreased for the customers. For example, quantity of a certain kind of loads (i.e., such as the loads L1) is varied frequently within one week. It implies that the loads L1 is traded frequently and should be popular for the customers. Thus, the administrator of the warehouse system 100 can re-allocate all kinds of loads placed on the carriers for optimizing business benefit after a logistic analysis and a payment history are generated by the computer device COM.
To sum up, the present invention discloses a warehouse system. The warehouse system is capable of detecting load quantity variations of all carriers. Therefore, manpower consumption can be minimized by using the warehouse system. Moreover, since the warehouse system of the present invention is capable of detecting the load quantity variations of all carriers, the warehouse system can be applied to smart unmanned stores currently developed in a logistics market. The warehouse system can be applied to front-end operations of a logistic management system. Moreover, the warehouse system only uses one scale device with high detection accuracy and several gravity sensors for detecting the load quantity variations, thereby leading to low hardware complexity and cost.
Those skilled in the art will readily observe that numerous modifications and alterations of the device and method may be made while retaining the teachings of the invention. Accordingly, the above disclosure should be construed as limited only by the metes and bounds of the appended claims.
Number | Date | Country | Kind |
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107128606 | Aug 2018 | TW | national |