CN112562286B - Power grid material management system based on cloud computing - Google Patents

Power grid material management system based on cloud computing Download PDF

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Publication number
CN112562286B
CN112562286B CN202011424173.8A CN202011424173A CN112562286B CN 112562286 B CN112562286 B CN 112562286B CN 202011424173 A CN202011424173 A CN 202011424173A CN 112562286 B CN112562286 B CN 112562286B
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data
warehouse
storage environment
power grid
wireless sensor
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CN112562286A (en
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俞容江
张睿
计建仁
诸吉祥
杨先进
应雪正
魏俊
胡健
朱小燕
何云
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Hangzhou Electric Power Design Institute Co ltd
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Hangzhou Electric Power Design Institute Co ltd
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    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18—Status alarms
    • G08B21/24—Reminder alarms, e.g. anti-loss alarms
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B7/00—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00
    • G08B7/06—Signalling systems according to more than one of groups G08B3/00 - G08B6/00; Personal calling systems according to more than one of groups G08B3/00 - G08B6/00 using electric transmission, e.g. involving audible and visible signalling through the use of sound and light sources
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/30—Services specially adapted for particular environments, situations or purposes
    • H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/70—Services for machine-to-machine communication [M2M] or machine type communication [MTC]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W40/00—Communication routing or communication path finding
    • H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
    • H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

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  • Engineering & Computer Science (AREA)
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Abstract

The invention provides a cloud computing-based power grid material management system which comprises a data acquisition module, a data transmission module, a cloud platform and a user terminal, wherein the data acquisition module is used for acquiring data of a power grid; the data acquisition module is used for acquiring storage environment data of the electric power materials; the data transmission module is used for sending the storage environment data to the cloud platform; the cloud platform is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal; the user terminal is used for displaying the judging result to the power grid material manager, and sending an alarm prompt to the power grid material manager when the judging result is that the storage environment data exceeds a preset threshold range. The invention realizes the monitoring of the storage environment of the materials while carrying out the traditional management on the materials, and avoids the damage of the materials of the power grid due to the deterioration of the storage environment.

Description

Power grid material management system based on cloud computing
Technical Field
The invention relates to the field of management, in particular to a power grid material management system based on cloud computing.
Background
In the prior art, a system for managing electric power grid materials in a warehouse is generally only suitable for management such as warehouse-out and warehouse-in, but does not monitor the storage environment of the electric power grid materials correspondingly, and cannot discover the deterioration of the storage environment in time and make corresponding management measures, so that the electric power grid materials are easy to damage due to the deterioration of the storage environment.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide a power grid material management system based on cloud computing.
The invention provides a cloud computing-based power grid material management system which comprises a data acquisition module, a data transmission module, a cloud platform and a user terminal, wherein the data acquisition module is used for acquiring data of a power grid;
the data acquisition module is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module;
the data transmission module is used for sending the storage environment data to the cloud platform;
the cloud platform is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal;
the user terminal is used for displaying the judging result to the power grid material manager, and sending an alarm prompt to the power grid material manager when the judging result is that the storage environment data exceeds a preset threshold range.
Preferably, the data acquisition module comprises a warehouse-in data acquisition unit, a warehouse-out data acquisition unit and a storage environment data acquisition unit;
the warehouse-in data acquisition unit is used for acquiring warehouse-in data of warehouse-in power grid materials and transmitting the warehouse-in data to the data transmission module;
the ex-warehouse data acquisition unit is used for acquiring warehouse-in data of ex-warehouse power grid materials and transmitting the warehouse-in data to the data transmission module;
the storage environment data acquisition unit is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module.
Preferably, the warehousing data comprise the type, the number and the storage position of the warehoused electric power grid supplies;
the ex-warehouse data comprise the types and the quantity of the ex-warehouse power grid supplies;
the storage environment data includes temperature, humidity, and hazardous gas concentration within a warehouse storing the electrical grid supplies.
Preferably, the data transmission module is further configured to send the warehouse-in data and the warehouse-out data to the cloud platform.
Preferably, the cloud platform comprises a storage unit, a material management unit and an environment monitoring unit;
the storage unit is used for storing the warehouse-in data, the warehouse-out data and the storage environment data;
the material management unit is used for updating corresponding warehouse-in data in the storage unit according to the warehouse-out data;
the environment monitoring unit is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal.
Preferably, the user terminal comprises a display module and an alarm prompting module;
the display module is used for displaying the judging result to a power grid material manager;
and the alarm prompt module is used for sending an alarm prompt to the power grid material manager when the judgment result is that the storage environment data exceeds a preset threshold range.
Compared with the prior art, the invention has the advantages that:
the invention realizes the monitoring of the storage environment of the materials while carrying out the traditional management on the materials, and sends an alarm prompt to the power grid material manager when the storage environment data is abnormal, thereby being convenient for the power grid material manager to make corresponding treatment measures in time and further preventing the power grid material from being damaged due to the deterioration of the storage environment.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a diagram of an exemplary embodiment of a cloud computing-based power grid material management system according to the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
The invention provides a cloud computing-based power grid material management system which comprises a data acquisition module, a data transmission module, a cloud platform and a user terminal, wherein the data acquisition module is used for acquiring data of a power grid;
the data acquisition module is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module;
the data transmission module is used for sending the storage environment data to the cloud platform;
the cloud platform is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal;
the user terminal is used for displaying the judging result to the power grid material manager, and sending an alarm prompt to the power grid material manager when the judging result is that the storage environment data exceeds a preset threshold range.
Because the cloud platform is not local, a data transmission module is required to forward the storage environment data, and the storage environment data is transmitted to the cloud platform remotely.
Preferably, the data acquisition module comprises a warehouse-in data acquisition unit, a warehouse-out data acquisition unit and a storage environment data acquisition unit;
the warehouse-in data acquisition unit is used for acquiring warehouse-in data of warehouse-in power grid materials and transmitting the warehouse-in data to the data transmission module;
the ex-warehouse data acquisition unit is used for acquiring warehouse-in data of ex-warehouse power grid materials and transmitting the warehouse-in data to the data transmission module;
the storage environment data acquisition unit is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module.
Preferably, the warehousing data comprise the type, the number and the storage position of the warehoused electric power grid supplies;
the ex-warehouse data comprise the types and the quantity of the ex-warehouse power grid supplies;
the storage environment data includes temperature, humidity, and hazardous gas concentration within a warehouse storing the electrical grid supplies.
Dangerous gases including methane, hydrogen, etc.
Preferably, the data transmission module is further configured to send the warehouse-in data and the warehouse-out data to the cloud platform.
Preferably, the cloud platform comprises a storage unit, a material management unit and an environment monitoring unit;
the storage unit is used for storing the warehouse-in data, the warehouse-out data and the storage environment data;
the material management unit is used for updating corresponding warehouse-in data in the storage unit according to the warehouse-out data;
the environment monitoring unit is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal.
Updating corresponding warehouse-in data in the storage unit according to the warehouse-out data, including: for example, for the materials with the same type and the same storage position, subtracting the warehouse-in number from the warehouse-out number, so as to obtain the existing warehouse-in number, namely updated warehouse-in data.
Preferably, the user terminal comprises a display module and an alarm prompting module;
the display module is used for displaying the judging result to a power grid material manager;
and the alarm prompt module is used for sending an alarm prompt to the power grid material manager when the judgment result is that the storage environment data exceeds a preset threshold range.
The alarm prompt comprises a popup window prompt, an alarm sound prompt and the like, and the alarm sound is a record recorded in advance.
Preferably, the storage environment data acquisition unit comprises a wireless sensor node and a base station; the wireless sensor node is used for acquiring the storage environment data and sending the storage environment data to the base station;
the base station is used for receiving the storage environment data sent by all the wireless sensor nodes and sending the storage environment data to the data transmission module.
The wireless sensor nodes are distributed and arranged in a warehouse for storing electric power grid materials.
Preferably, the base station is further configured to divide the wireless sensor nodes into cluster head nodes and member nodes, and send the division result to each wireless sensor node by broadcasting.
Preferably, the wireless sensor node is divided into a cluster head node and a member node, including:
calculating the total number numofNode of cluster head nodes;
and calculating the dominance value of each wireless sensor node serving as a cluster head node, sequencing the dominance values from high to low, and taking the wireless sensor nodes corresponding to the dominance values of the numofNodes before ranking as the cluster head nodes.
Preferably, the calculating the total number of cluster head nodes, numofNode, includes:
the total number of cluster head nodes numofNode is calculated by:
where numfN represents the total number of wireless sensor nodes, frek represents the system loss factor of the free space model, slk represents the average transmission power of the wireless sensor nodes, malungtb represents the maximum number of hops between the wireless sensor nodes and the base station, milongb represents the minimum number of hops between the wireless sensor nodes and the base station, S represents the area of the monitoring range of all wireless sensor nodes, midnum represents an integer-type intermediate parameter, midnum represents the minimum value if there are a plurality of midnum values, jznum represents the preset reference number.
The traditional clustering mode, such as a leave protocol, obtains cluster head nodes by generating random numbers, the mode does not consider the number of the nodes, the coverage area and the like at all, the number of the generated cluster head nodes is too large or too small, the total number of the cluster head nodes is obtained through calculation of the reference number and the intermediate parameters, the total number of wireless sensor nodes, the coverage area, the generation power and other parameters are considered, the considered area is wider, the total number of the obtained cluster head nodes is closely related with the actual condition of the wireless sensor nodes, and the total number of the obtained cluster head nodes is more accurate.
Preferably, the reference number is calculated by:
wherein bl va Representing the average communication radius of all wireless sensor nodes.
Preferably, calculating the dominance value of each wireless sensor node to be a cluster head node includes:
in csNode a A dominant value indicating that the wireless sensor node a is a cluster head node, and numB indicates a communication radius bl of a a Total number of wireless sensor nodes in the network, long a,b Representing the Euclidean distance between a and wireless sensor node b within its communication radius, storing the wireless sensor nodes within the communication radius of a into a set U a If U a A wireless sensor node c is present within such thatIf true qz a ＝mi(long a,b ) Otherwise, qz a ＝ma(long a,b ) Wherein numD represents a communication radius bl of c c Total number of wireless sensor nodes in the network, long c,d Represents the Euclidean distance between c and the wireless sensor node d within its communication radius, mi (long a,b ) Represent take Long a,b Is the minimum value of mi (long a,b )＝min{long a,b |b∈U a }，ma(long a,b ) Represent take Long a,b Maximum value of (2), ma (long) a,b )＝max{long a,b |b∈U a }，sen a Representing the residual capacity of the wireless sensor node a, csen a Representing initial power of wireless sensor node a, plcsen representing average initial power of all wireless sensor nodes, long a,bs Representing the average number of hops between a and the base station, plong bs Representing the average of the average number of communication hops between all wireless sensor nodes and the base station.
When calculating the dominance value, parameters such as the relation between the distance and the number of the wireless sensor nodes in the communication radius of the wireless sensor node and the wireless sensor node currently calculated, the residual electric quantity, the initial electric quantity, the hop count between the wireless sensor node and the base station and the like are mainly considered, so that the dominance value is obtained comprehensively, while the traditional clustering protocol, such as the leach protocol, does not consider the parameters at all, the quality of the selected cluster heads is uneven, the wireless sensor node with the too small residual electric quantity is easily selected as the cluster head node, and the service life of the wireless sensor network is shortened. In particular, the number of hops is a real reflection of the spatial distribution between the cluster head node and the base station compared with the distance, and the cluster head node is not directly communicated with the base station, so that the advantage value calculated by the method is more accurate.
Preferably, the cluster head node adopts two central modes of direct communication and indirect communication between base stations, and the cluster head node selects the communication mode with the base stations by the following modes:
comparing the average hop count of the cluster head node communicated with the base station with a hop count threshold value sent by the base station, if the average hop count is smaller than the hop count threshold value, the cluster head node communicates with the base station in a direct communication mode, otherwise, the cluster head node communicates with the base station in an indirect communication mode;
the average hop count is calculated as follows:
wherein avjunum represents the average hop count and numG represents the time of the cluster headTotal number of communications with base station in inter-period T g Indicating the hop count of the g-th communication between the cluster head and the base station in the time period T;
the hop count threshold is calculated as follows:
where jumthre represents the hop count threshold, k 1 And k 2 Represents the proportionality coefficient, k 1 And k is equal to 2 Sum is 1, zdi bs Indicating the maximum number of hops, mdi, of a wireless sensor node communicating with a base station bs Indicating the minimum number of hops to communicate with the base station, long tbs Representing the average number of hops that all wireless sensor nodes communicate with the base station.
The cluster head nodes adaptively select a proper communication mode according to actual conditions, and the cluster head nodes with overlarge communication hops with the base station can be prevented from communicating with the base station in a direct communication mode, so that the purposes of saving energy of the cluster head nodes and balancing energy consumption of the cluster head nodes are achieved. The service life of the cluster head node is prolonged, and the monitoring range of a monitoring network formed by the cluster head node and the member node is further prolonged.
Preferably, the direct communication includes: the cluster head communicates directly with the base station.
Preferably, the indirect communication includes: the cluster head node selects another cluster head node closest to the base station in the communication range as a forwarding node, and communicates with the base station through the forwarding node.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

Claims (5)

1. The electric power grid material management system based on cloud computing is characterized by comprising a data acquisition module, a data transmission module, a cloud platform and a user terminal;
the data acquisition module is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module;
the data transmission module is used for sending the storage environment data to the cloud platform;
the cloud platform is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal;
the user terminal is used for displaying the judging result to the power grid material manager, and sending an alarm prompt to the power grid material manager when the judging result is that the storage environment data exceeds a preset threshold range;
the data acquisition module comprises a warehouse-in data acquisition unit, a warehouse-out data acquisition unit and a storage environment data acquisition unit;
the warehouse-in data acquisition unit is used for acquiring warehouse-in data of warehouse-in power grid materials and transmitting the warehouse-in data to the data transmission module;
the ex-warehouse data acquisition unit is used for acquiring warehouse-in data of ex-warehouse power grid materials and transmitting the warehouse-in data to the data transmission module;
the storage environment data acquisition unit is used for acquiring storage environment data of the electric power materials and transmitting the storage environment data to the data transmission module;
the storage environment data acquisition unit comprises a wireless sensor node and a base station; the wireless sensor node is used for acquiring the storage environment data and sending the storage environment data to the base station;
the base station is used for receiving storage environment data sent by all wireless sensor nodes and sending the storage environment data to the data transmission module;
the base station is also used for dividing the wireless sensor nodes into cluster head nodes and member nodes and sending the division results to each wireless sensor node in a broadcast mode;
dividing the wireless sensor nodes into cluster head nodes and member nodes, comprising:
calculating the total number numofNode of cluster head nodes;
calculating the dominance value of each wireless sensor node as a cluster head node, sequencing the dominance values from high to low, and taking the wireless sensor nodes corresponding to the dominance values of the numofNodes before ranking as the cluster head nodes;
the calculating the total number of cluster head nodes, numofNode, includes:
the total number of cluster head nodes numofNode is calculated by:
where numfN represents the total number of wireless sensor nodes, frek represents the system loss factor of the free space model, slk represents the average transmission power of the wireless sensor nodes, malungtb represents the maximum number of hops between the wireless sensor nodes and the base station, milongb represents the minimum number of hops between the wireless sensor nodes and the base station, S represents the area of the monitoring range of all wireless sensor nodes, midnum represents an integer-type intermediate parameter, midnum represents the minimum value if there are a plurality of midnum values, jznum represents the preset reference number.
2. The cloud computing-based power grid material management system of claim 1, wherein said warehousing data comprises type, number and storage location of warehoused power grid materials;
the ex-warehouse data comprise the types and the quantity of the ex-warehouse power grid supplies;
the storage environment data includes temperature, humidity, and hazardous gas concentration within a warehouse storing the electrical grid supplies.
3. The cloud computing-based power grid material management system of claim 1, wherein the data transmission module is further configured to send the warehousing data and the ex-warehouse data to the cloud platform.
4. A power grid material management system based on cloud computing as recited in claim 3, wherein the cloud platform comprises a storage unit, a material management unit, and an environmental monitoring unit;
the storage unit is used for storing the warehouse-in data, the warehouse-out data and the storage environment data;
the material management unit is used for updating corresponding warehouse-in data in the storage unit according to the warehouse-out data;
the environment monitoring unit is used for judging whether the storage environment data exceeds a preset threshold range or not, obtaining a judging result and sending the judging result to the user terminal.
5. The cloud computing-based power grid material management system of claim 4, wherein the user terminal comprises a display module and an alarm prompt module;
the display module is used for displaying the judging result to a power grid material manager;
and the alarm prompt module is used for sending an alarm prompt to the power grid material manager when the judgment result is that the storage environment data exceeds a preset threshold range.
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