CN110995854A - Cargo storage management system based on cloud computing technology - Google Patents
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Abstract
The invention relates to the field of cloud computing, and provides a cargo storage management system based on a cloud computing technology, which comprises a storage cabinet, a storage box, a cloud computing platform, a mobile terminal and a data acquisition module, wherein the data acquisition module comprises a sink node and a plurality of sensor nodes; when the storage box is pushed into the storage room, the sensor node acquires the weight information of the storage box and arranges the current time information, the weight information and the number information of the storage room in which the weight information is positioned into a data packet; the aggregation nodes are used for aggregating the data packets of the sensor nodes and sending the data packets to the cloud computing platform, and the cloud computing platform classifies and arranges the corresponding data packets according to the serial numbers of the storage rooms and stores the arranged data into a database of the cloud computing platform; the mobile terminal is provided with an APP for accessing a database of the cloud computing platform. According to the invention, the user can check the corresponding goods storage information in real time through the built-in APP of the mobile terminal, so that the management of the goods storage by the working personnel is facilitated.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to a cargo storage management system based on a cloud computing technology.
Background
Among the correlation technique, when storing the goods in the warehouse, the mode that adopts the paper record mostly makes statistics of the arrangement to the cabinet, has caused a large amount of manpower resources extravagant, the storage management of the goods of not being convenient for.
Disclosure of Invention
In order to solve the problems, the invention provides a cargo storage management system based on a cloud computing technology.
The purpose of the invention is realized by adopting the following technical scheme:
the invention provides a cargo storage management system based on a cloud computing technology, which comprises:
the system comprises a storage cabinet, a storage box, a cloud computing platform, a mobile terminal and a data acquisition module, wherein the data acquisition module comprises a sink node and a plurality of sensor nodes, and the sink node is connected with the cloud computing platform; the storage cabinet comprises a plurality of storage chambers for placing the storage box, at least one sensor node is arranged in each storage chamber, and the ID of each sensor node corresponds to the number of the storage chamber in which the sensor node is positioned;
when the storage box is pushed into the storage room, the sensor node senses the storage box, obtains weight information of the storage box, and arranges current time information, the weight information and the number information of the storage room in which the weight information is located into a data packet; the aggregation nodes are used for aggregating the data packets of the sensor nodes and sending the data packets to the cloud computing platform, and the cloud computing platform classifies and arranges the corresponding data packets according to the serial numbers of the storage rooms and stores the arranged data into a database of the cloud computing platform; the mobile terminal is provided with an APP for accessing the database of the cloud computing platform.
In one implementation, the storage cabinet is provided with a plurality of storage compartments formed by a plurality of partition plates.
In a mode that can realize, set up the air exhauster on the apotheca, and the input of air exhauster communicates with each other through pumping branch pipe and each locker room is inside to be connected, the system is still including being used for opening and close the controller of air exhauster, the controller with cloud computing platform connects.
The invention has the beneficial effects that: according to the invention, the goods storage data of each storage room is acquired through the wireless sensor network, and the goods storage data is classified and stored based on the cloud computing technology, so that a user can check corresponding goods storage information in real time through an APP (application) built in the mobile terminal, the definition of whether goods are stored in the storage room is improved, and the management of goods storage by workers is facilitated.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
Fig. 1 is a schematic structural connection diagram of a cargo storage management system based on a cloud computing technology according to an exemplary embodiment of the present invention.
Reference numerals:
the system comprises a storage cabinet 1, a storage box 2, a cloud computing platform 3, a mobile terminal 4 and a data acquisition module 5.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, an embodiment of the present invention provides a cargo storage management system based on a cloud computing technology, including:
the system comprises a storage cabinet 1, a storage box 2, a cloud computing platform 3, a mobile terminal 4 and a data acquisition module 5, wherein the data acquisition module 5 comprises a sink node and a plurality of sensor nodes, and the sink node is connected with the cloud computing platform 3; the storage cabinet 1 comprises a plurality of storage chambers for placing the storage box 2, at least one sensor node is arranged in each storage chamber, and the ID of each sensor node corresponds to the number of the storage chamber in which the sensor node is positioned;
when the storage box 2 is pushed into the storage room, the sensor node senses the storage box 2, obtains weight information of the storage box 2, and arranges current time information, the weight information and the number information of the storage room in which the weight information is located into a data packet; the sink node is used for collecting data packets of each sensor node and sending the data packets to the cloud computing platform 3, and the cloud computing platform 3 classifies and arranges the corresponding data packets according to the serial numbers of the storage rooms and stores the arranged data into a database of the cloud computing platform; the mobile terminal 4 is provided with an APP for accessing the database of the cloud computing platform 3.
According to the embodiment of the invention, the goods storage data of each storage room is acquired through the wireless sensor network, and the goods storage data is classified and stored based on the cloud computing technology, so that a user can check corresponding goods storage information in real time through an APP (application) built in the mobile terminal 4, the definition of whether goods are stored in the storage room is improved, and the management of goods storage by workers is facilitated.
In one possible implementation, the storage cabinet 1 is formed with a plurality of storage compartments by incorporating a plurality of partition plates.
In a mode that can realize, set up the air exhauster on the cabinet 1, and the input of air exhauster communicates with each other through pumping branch pipe and each locker room is inside to be connected, the system is still including being used for opening and close the controller of air exhauster, the controller with cloud computing platform 3 is connected.
This embodiment is when depositing the goods in storing the cabinet, through mobile terminal 4 visit cloud computing platform 3, send the instruction in order to start the air exhauster to through the branch pipe of bleeding take a breath to the air of 2 insides in storage box, keep placing the effect of depositing of the goods in storage box 2.
In one implementation, the sensor node selects a mode of direct communication or indirect communication according to the distance to the sink node and communicates with the sink node, the direct communication directly sends acquired data to the sink node for the sensor node, and the indirect communication sends the acquired data to the next hop node for the sensor node to forward the acquired data by the next hop node until the acquired data is sent to the sink node.
Initially, when the distance between the sensor node and the sink node does not exceed a set distance threshold, the sensor node selects a direct communication mode; otherwise, the sensor node selects an indirect communication mode, and sets an initial distance threshold value as:
in the formula, DT0In order to set the initial distance threshold value,
indicating a distance from the sink node at RmaxSet of sensor nodes within range, RmaxThe maximum communication distance of the sensor node is,
is a set
The number of sensor nodes that are involved,
representation collection
The sum of the distances from the inner sensor node to the sink node,
representation collection
And the distance from the sensor node closest to the sink node.
The implementation determines the routing mode of direct or indirect communication according to the distance from the sensor node to the sink node and the preset initial distance threshold value, and improves the flexibility of sensor node routing. The initial distance threshold value is further determined according to the actual deployment condition of the sensor nodes and the communication distance of the sensor nodes, the setting is reasonable, the reliability of the routing of the sensor nodes in direct communication with the sink nodes can be guaranteed, the possibility of data packet loss caused by insufficient transmitting power of the sensor nodes is reduced, and the reliability of cargo storage information collection is improved.
In a manner that can be realized, the period Δ T is preset0At each lapse of one period Δ T0The sink node collecting set
Updating the distance threshold according to the current residual energy and the initial energy of the middle sensor node, and sending the updated distance threshold information to the sensor node in direct communication with the middle sensor node; if the distance between the sensor node in direct communication with the sensor node and the sink node exceeds the updated distance threshold, the sensor node in direct communication with the sensor node switches the communication mode to an indirect communication mode, selects a neighbor node as a next hop node, and sends request information to the next hop node so as to switch the communication mode of the next hop node to a direct communication mode;
wherein, the updating formula of the distance threshold is as follows:
in the formula, DT' As an updated distance threshold, DT(t-1) is the distance threshold of the previous cycle, Ei0Is a set
Initial energy of the ith sensor node in (1), EiIs a set
U is a preset energy influence factor,u has a value range of [0.1,0.2 ]]；
Wherein, if the updating times of the distance threshold reach the time threshold, or the updated distance threshold is lower than RminIn time, the sink node will stop updating the distance threshold, Rm1nThe communication distance is the preset minimum communication distance of the sensor node.
The embodiment changes the communication mode of the sensor nodes in direct communication with the sink node by periodically updating the distance threshold value of the sink node, and creatively sets an updating formula of the distance threshold value according to the current residual energy and initial energy of all the sensor nodes in direct communication with the sink node. According to the formula, the distance threshold value is gradually reduced along with the increase of the consumption of the energy of the sensor nodes around the sink node. The embodiment can effectively avoid the excessive energy consumption of the sensor nodes which are in direct communication with the sink node and far away from the sink node, and the mechanism of selecting the next hop node through the sensor nodes can effectively balance the loads of the sensor nodes around the sink node and reduce the phenomenon of energy holes, thereby being beneficial to prolonging the working period of the sensor nodes on the whole, improving the stability of data communication and laying a good foundation for the stable acquisition of goods storage information.
The neighbor nodes are other sensor nodes located in the communication range of the sensor nodes.
In one embodiment, the selecting one neighbor node as a next hop node includes:
(1) after the sensor node in direct communication with the sensor node switches the communication mode into an indirect communication mode, the sensor node sends a request to a neighbor node closer to the sink node relative to the sensor node, and the neighbor node receiving the request sends feedback information to the sensor node, wherein the feedback information comprises data packet cache information and energy information of the neighbor node;
(2) the sensor node calculates the weight of the corresponding neighbor node according to the feedback information:
in the formula, QabThe weight of the b-th neighbor node of the sensor node a in direct communication therewith, EabFor the current remaining energy of the b-th neighboring node,
to determine the value function, when
When the temperature of the water is higher than the set temperature,
when in use
When the temperature of the water is higher than the set temperature,
nathe number of neighbor nodes of the sensor node a relative to the sensor node a closer to the sink node, HabThe buffer size H occupied by the b-th neighbor node for buffering the data packet currentlyab0Is the initial buffer space size of the b-th neighbor node, D (a, b) is the distance between the sensor node a and the b-th neighbor node, HacThe current occupied cache size of the cache data packet of the c-th neighbor node of the sensor node a, which is closer to the sink node than the sensor node a, Hac0The initial buffer space size of the c-th neighbor node, D (a, c) is the distance between the sensor node a and the c-th neighbor node, D0Is a preset data packet forwarding unit distance, gamma is a preset data congestion delay factor based on the distance, and the value range of gamma is [0.2, 0.3%]；
(2) The sensor node selects the neighbor node with the maximum weight as the next hop node.
As a preferred embodiment, λ1＝0.4，λ2＝0.6。
The embodiment creatively sets a selection mechanism of the next hop node, wherein a calculation formula of the weight is set. Through the weight calculation formula, the energy advantage and the cache advantage of each neighbor node can be effectively measured, so that the sensor node is helped to select the best next hop node as far as possible. The selection mechanism is utilized to determine the next hop node, so that the load of the nodes around the sensor node can be optimally and effectively balanced, the probability of packet loss of the next hop node due to too slow data caching is reduced, the reliability and the efficiency of data communication are further improved, when the communication mode of the sensor node is switched to the indirect communication mode, the adverse effect on the data communication caused by mode switching is reduced as much as possible, and the running stability of the cargo storage management system is ensured.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (4)
1. A cargo storage management system based on cloud computing technology is characterized by comprising:
the system comprises a storage cabinet, a storage box, a cloud computing platform, a mobile terminal and a data acquisition module, wherein the data acquisition module comprises a sink node and a plurality of sensor nodes, and the sink node is connected with the cloud computing platform; the storage cabinet comprises a plurality of storage chambers for placing the storage box, at least one sensor node is arranged in each storage chamber, and the ID of each sensor node corresponds to the number of the storage chamber in which the sensor node is positioned;
when the storage box is pushed into the storage room, the sensor node senses the storage box, obtains weight information of the storage box, and arranges current time information, the weight information and the number information of the storage room in which the weight information is located into a data packet; the aggregation nodes are used for aggregating the data packets of the sensor nodes and sending the data packets to the cloud computing platform, and the cloud computing platform classifies and arranges the corresponding data packets according to the serial numbers of the storage rooms and stores the arranged data into a database of the cloud computing platform; the mobile terminal is provided with an APP for accessing the database of the cloud computing platform.
2. The cloud computing technology based cargo storage management system of claim 1, wherein the storage cabinet is provided with a plurality of storage compartments formed by a plurality of partition plates.
3. The cargo storage management system based on the cloud computing technology as claimed in claim 1, wherein an exhaust fan is arranged on the storage cabinet, an input end of the exhaust fan is communicated and connected with the inside of each storage chamber through an exhaust branch pipe, the system further comprises a controller for opening and closing the exhaust fan, and the controller is connected with the cloud computing platform.
4. The cloud computing technology-based cargo storage management system according to any one of claims 1 to 3, wherein the sensor node selects a mode of direct communication or indirect communication according to a distance from the sink node, the direct communication is that the sensor node directly sends the collected data to the sink node, and the indirect communication is that the sensor node sends the collected data to a next-hop node, so that the next-hop node forwards the collected data until the collected data is sent to the sink node.
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