CN110189166B - Method and device for determining key maintenance equipment in energy transmission conversion network - Google Patents
Method and device for determining key maintenance equipment in energy transmission conversion network Download PDFInfo
- Publication number
- CN110189166B CN110189166B CN201910398608.7A CN201910398608A CN110189166B CN 110189166 B CN110189166 B CN 110189166B CN 201910398608 A CN201910398608 A CN 201910398608A CN 110189166 B CN110189166 B CN 110189166B
- Authority
- CN
- China
- Prior art keywords
- energy
- maintenance
- weight
- cost
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000012423 maintenance Methods 0.000 title claims abstract description 203
- 230000005540 biological transmission Effects 0.000 title claims abstract description 125
- 238000006243 chemical reaction Methods 0.000 title claims abstract description 43
- 238000000034 method Methods 0.000 title claims abstract description 41
- 238000013507 mapping Methods 0.000 claims abstract description 45
- 238000010586 diagram Methods 0.000 claims abstract description 29
- 239000000126 substance Substances 0.000 claims description 10
- 238000005265 energy consumption Methods 0.000 claims description 6
- 239000002184 metal Substances 0.000 description 8
- 230000008569 process Effects 0.000 description 6
- 238000012545 processing Methods 0.000 description 3
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 235000010627 Phaseolus vulgaris Nutrition 0.000 description 1
- 244000046052 Phaseolus vulgaris Species 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 239000003345 natural gas Substances 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000000750 progressive effect Effects 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Images
Classifications
-
- 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
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0206—Price or cost determination based on market factors
-
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- 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
-
- 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
- Y04S50/00—Market activities related to the operation of systems integrating technologies related to power network operation or related to communication or information technologies
- Y04S50/14—Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Theoretical Computer Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Tourism & Hospitality (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a method and a device for determining key maintenance equipment in an energy transmission conversion network, a computer readable storage medium and electronic equipment, wherein the method comprises the following steps: acquiring a network topology structure diagram of a plurality of energy source flows in an energy transmission conversion network; acquiring first maintenance weights respectively corresponding to all energy utilization equipment in unit time and second maintenance weights respectively corresponding to all energy transmission pipelines; mapping the network topology structure chart into a directed weighting chart according to the first maintenance weight respectively corresponding to each energy utilization device and the second maintenance weight respectively corresponding to each energy transmission pipeline; calculating a third guard weight of each energy source flow corresponding to a path in the directed weighted graph respectively by using a shortest path algorithm; determining the cost of each energy source flow according to the third maintenance weight of each energy source flow corresponding to the path in the directed weighted graph, determining at least one maximum cost energy source flow according to preset conditions, and determining each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices respectively. By the technical scheme, key maintenance equipment in the energy transmission and conversion network can be determined.
Description
Technical Field
The invention relates to the technical field of energy, in particular to a method and a device for determining key maintenance equipment in an energy transmission conversion network.
Background
The energy transmission conversion network includes a plurality of energy streams, each energy stream includes a plurality of energy utilization devices and a plurality of energy transmission pipelines, and it is usually necessary to determine the cost corresponding to each energy stream, and further, maintenance management is performed on each energy utilization device and each energy transmission pipeline corresponding to an energy stream with a higher cost.
Therefore, how to determine the cost of energy source flow in the energy transmission and conversion network becomes an urgent problem to be solved.
Disclosure of Invention
The invention provides a method and a device for determining key maintenance equipment in an energy transmission conversion network, a computer readable storage medium and electronic equipment, which can determine the cost of each energy source flow in the energy transmission conversion network.
In a first aspect, the present invention provides a method for determining an important maintenance device in an energy transmission switching network, including:
acquiring a network topology structure diagram of at least two energy source flows in the energy transmission conversion network, wherein the energy source flows indicate the flowing directions of energy sources flowing in at least two energy transmission pipelines and at least one energy utilization device;
acquiring first maintenance weights respectively corresponding to the energy utilization equipment in unit time and second maintenance weights respectively corresponding to the energy transmission pipelines;
mapping the network topology structure chart into a directed weighting chart according to the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline;
calculating a third guard weight of a path corresponding to each energy source flow in the directed weighted graph respectively by using a shortest path algorithm;
and determining the cost of each energy source flow in the energy transmission and conversion network according to the third protection weight of the path corresponding to each energy source flow in the directed weighted graph.
Preferably, the first and second electrodes are formed of a metal,
after determining the cost of each energy source flow in the energy transmission conversion network, the method further includes:
determining at least one maximum cost energy source flow according to preset conditions, and respectively determining each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices.
Preferably, the first and second electrodes are formed of a metal,
each node in the network topology structure chart corresponds to one energy utilization device, and each directed connecting line corresponds to one energy transmission pipeline;
then, the mapping the network topology structure graph into a directed weighted graph includes:
for each node, determining at least one output stream of the node, the output stream including the directional connecting line with the starting point as the node, and determining at least one input stream corresponding to each output stream, the input stream including the directional connecting line with the ending point as the node;
for each of the output streams, determining the output stream, the corresponding respective input streams and the corresponding nodes as traffic streams;
for each second maintenance weight, determining the corresponding output stream or the input stream, and mapping the output stream or the input stream to a second directed edge carrying the second maintenance weight;
for each service flow, mapping the node into a first vertex, a second vertex and a first directed edge according to the first maintenance weight corresponding to the node;
and forming a directed weighting graph by using the first directed edge, the first vertex, the second vertex and each second directed edge corresponding to each service flow.
Preferably, the first and second electrodes are formed of a metal,
the mapping the node into a first vertex, a second vertex and a first directed edge according to the first maintenance weight corresponding to the node includes:
determining the ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow as a fourth maintenance weight;
splitting the node into a first vertex and a second vertex, connecting the first vertex and the second vertex according to the flow direction of the service flow, and mapping the first vertex and the second vertex into a first directed edge carrying the fourth maintenance weight.
Preferably, the first and second electrodes are formed of a metal,
the acquiring of the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline in unit time includes:
acquiring operation cost, first maintenance cost and first fixed cost which respectively correspond to each energy utilization device in unit time, and second maintenance cost and second fixed cost which respectively correspond to each energy transmission pipeline;
determining the average value of the running cost, the first maintenance cost and the first fixed cost as a corresponding first maintenance weight for each energy utilization device;
and determining the average value of the second maintenance cost and the second fixed cost as a corresponding second maintenance weight for each energy transmission pipeline.
In a second aspect, the present invention provides an apparatus for determining an important maintenance device in an energy transmission switching network, including:
the first acquisition module is used for acquiring a network topology structure diagram of at least two energy source flows in the energy transmission conversion network, wherein the energy source flows indicate the flowing direction of energy sources when the energy sources flow in at least two energy transmission pipelines and at least one energy using device;
the second acquisition module is used for acquiring first maintenance weights respectively corresponding to the energy utilization equipment in unit time and second maintenance weights respectively corresponding to the energy transmission pipelines;
the weighted graph determining module is used for mapping the network topology structure graph into a directed weighted graph according to the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline;
the energy source flow determining module is used for calculating a third protecting weight of a path corresponding to each energy source flow in the directed weighted graph by using a shortest path algorithm;
and the cost determination module is used for determining the cost of each energy source flow in the energy transmission conversion network according to the size of the third protection weight of the path corresponding to each energy source flow in the directed weighted graph.
Preferably, the first and second electrodes are formed of a metal,
the cost determination module is followed by further comprising: a device determination module;
the device determining module is configured to determine at least one maximum cost energy source flow according to preset conditions, and determine each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as an important maintenance device respectively. Preferably, the first and second electrodes are formed of a metal,
each node in the network topology structure chart corresponds to one energy utilization device, and each directed connecting line corresponds to one energy transmission pipeline;
then, the weighted graph determining module includes: the system comprises an input stream determining unit, a service stream determining unit, a first mapping unit, a second mapping unit and a weighted graph determining unit; wherein the content of the first and second substances,
the input stream determining unit is configured to determine, for each of the nodes, at least one output stream of the node, where the output stream includes the directional connection line whose starting point is the node, and determine at least one input stream corresponding to each of the output streams, where the input stream includes the directional connection line whose ending point is the node;
the service flow determining unit is configured to determine, as a service flow, the output flow, the corresponding input flows, and the corresponding nodes for each output flow;
the first mapping unit is configured to determine, for each second maintenance weight, a corresponding output stream or input stream, and map the output stream or the input stream to a second directed edge carrying the second maintenance weight;
the second mapping unit is configured to map, for each service flow, the node into a first vertex, a second vertex, and a first directed edge according to the first maintenance weight corresponding to the node;
the weighted graph determining unit is configured to form a weighted graph by using the first directed edge, the first vertex, the second vertex, and each second directed edge corresponding to each service flow.
Preferably, the first and second electrodes are formed of a metal,
the second mapping unit includes: a weight determination subunit and a mapping subunit; wherein the content of the first and second substances,
the weight determining subunit is configured to determine, as a fourth maintenance weight, a ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow;
the mapping subunit is configured to split the node into a first vertex and a second vertex, connect the first vertex and the second vertex according to the flow direction of the service flow, and map the first vertex and the second vertex into a first directed edge carrying the fourth maintenance weight.
Preferably, the first and second electrodes are formed of a metal,
the second obtaining module includes: the device comprises an acquisition unit, a first weight determination unit and a second weight determination unit; wherein the content of the first and second substances,
the acquisition unit is used for acquiring the running cost, the first maintenance cost and the first fixed cost which respectively correspond to each energy utilization device in unit time, and the second maintenance cost and the second fixed cost which respectively correspond to each energy transmission pipeline;
the first weight determination unit is configured to determine, for each of the energy-consuming devices, an average value of the operating cost, the first maintenance cost, and the first fixed cost as a corresponding first maintenance weight;
the second weight determination unit is configured to determine, for each energy transmission pipeline, an average value of the second maintenance cost and the second fixed cost as a corresponding second maintenance weight.
In a third aspect, the invention provides a computer-readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, cause the processor to perform the method according to any one of the first aspect.
In a fourth aspect, the present invention provides an electronic device, comprising a processor and a memory storing execution instructions, wherein when the processor executes the execution instructions stored in the memory, the processor performs the method according to any one of the first aspect.
The invention provides a method, a device, a computer readable storage medium and an electronic device for determining key maintenance equipment in an energy transmission and conversion network, wherein the method comprises the steps of acquiring a network topology structure diagram of a plurality of energy flows in the energy transmission and conversion network, wherein the energy flows can indicate the flow direction of energy flowing in a plurality of energy transmission pipelines and one or more energy utilization devices, then acquiring a first maintenance weight corresponding to each energy utilization device in unit time and a second maintenance weight corresponding to each energy transmission pipeline, wherein the first maintenance weight can indicate the important degree of maintenance of the energy utilization device, the second maintenance weight can indicate the important degree of maintenance of the energy transmission pipeline, and then according to the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline, mapping a network topology structure diagram into a directed weighted graph, then calculating third protection weights of paths corresponding to each energy source flow in the directed weighted graph respectively by using a shortest path algorithm, at this time, determining the cost of each energy source flow in an energy transmission conversion network according to the size of the third protection weight corresponding to each energy source flow respectively, determining at least one maximum cost energy source flow according to preset conditions, and determining each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices respectively. In summary, by the technical solution provided by the embodiment of the present invention, the key maintenance device in the energy transmission conversion network can be determined.
Further effects of the above-mentioned unconventional preferred modes will be described below in conjunction with specific embodiments.
Drawings
In order to more clearly illustrate the embodiments or the prior art solutions of the present invention, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments described in the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a schematic flowchart illustrating a method for determining a cost of a source stream in an energy transmission and conversion network according to an embodiment of the present invention;
fig. 2 is a schematic diagram illustrating dividing service flows and mapping service flows in a method for determining a cost of energy source flows in an energy transmission conversion network according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a first apparatus for determining a cost of a source stream in an energy transmission and conversion network according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a second apparatus for determining a cost of a source stream in an energy transmission and conversion network according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a third apparatus for determining a cost of a source stream in an energy transmission and conversion network according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of a fourth apparatus for determining a cost of a source stream in an energy transmission/conversion network according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a fifth apparatus for determining a cost of a source stream in an energy transmission and conversion network according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail and completely with reference to the following embodiments and accompanying drawings. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. 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.
As shown in fig. 1, an embodiment of the present invention provides a method for determining an important maintenance device in an energy transmission switching network, including the following steps:
102, acquiring first maintenance weights respectively corresponding to each energy utilization device in unit time and second maintenance weights respectively corresponding to each energy transmission pipeline;
103, mapping the network topology structure diagram into a directed weighted graph according to the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline;
As shown in fig. 1, in the method, by obtaining a network topology structure diagram of a plurality of energy source flows in an energy transmission and conversion network, an energy source flow can indicate a flow direction of energy flowing in a plurality of energy transmission pipelines and one or more energy devices, then, a first maintenance weight corresponding to each energy device in a unit time and a second maintenance weight corresponding to each energy transmission pipeline are obtained, the first maintenance weight can indicate an importance degree that the energy device should perform maintenance, the second maintenance weight can indicate an importance degree that the energy transmission pipeline should perform maintenance, then, according to the first maintenance weight corresponding to each energy device and the second maintenance weight corresponding to each energy transmission pipeline, the network topology is mapped into a directed weighted graph, then, a shortest path algorithm is used to calculate a third maintenance weight of a path corresponding to each energy source flow in the directed weighted graph, at this time, the cost of each energy source flow in the energy transmission conversion network can be determined according to the size of the third maintenance weight corresponding to each energy source flow. In summary, according to the technical solution provided by the embodiment of the present invention, the cost of each energy source stream in the energy transmission and conversion network can be determined.
Specifically, the energy transmission and conversion network refers to that energy is transmitted through a plurality of energy transmission pipelines from a plurality of input ends of the energy, or/and a plurality of energy utilization devices process the energy or convert the energy into other forms of energy, and finally reaches a plurality of using ends in a form of energy, wherein the using ends can be energy utilization devices. In this process, capital and maintenance costs are required for each energy transmission pipeline and each energy-consuming device, and therefore, for a given energy transmission network, there is a transmission conversion route (i.e., an energy source flow) with the highest cost. Herein, an energy-consuming device particularly refers to a device that is capable of converting some form of energy into another form of energy (such as converting the chemical energy of a fuel into thermal energy of steam) or/and of processing the energy (such as changing the pressure of steam).
Specifically, shortest path algorithms include, but are not limited to, Dijkstra algorithm (Dijkstra algorithm), Bellman-Ford algorithm, SPFA algorithm (queue-optimized Bellman-Ford algorithm), and Floyd-Warshall algorithm.
Specifically, each first operation and maintenance weight and each second operation and maintenance weight are non-negative numbers, so that the shortest path algorithm can be used to calculate the third protection weight of the path in the directed weighted graph corresponding to each energy flow for the inverse number corresponding to each first protection weight and each second protection weight in the directed weighted graph, and then the inverse number can be extracted for each calculated third protection weight.
It should be noted that, according to the actual needs of the service scenario, the shortest path algorithm may be used to calculate the third guard weight corresponding to the multiple paths between any two vertices in the weighted graph. It should be further noted that, if the third guard weight is a non-negative number, for each energy source flow, the size of the third guard weight corresponding to the energy source flow is the size of the corresponding cost; if the third guard weight is a negative number, for each energy source flow, the opposite number of the third guard weight corresponding to the energy source flow is the corresponding cost.
As will be understood by those skilled in the art, the energy network may include a plurality of input points and a plurality of output points, that is, the directional weighted graph corresponding to the energy network includes a plurality of input points and a plurality of output points, in this case, a combination of each output point and each input point in the directional weighted graph needs to be determined, and a shortest path algorithm is used to calculate a third guard weight of a path corresponding to each combination in the directional weighted graph.
In an embodiment of the present invention, after determining the cost of each energy source flow in the energy transmission and conversion network, the method further includes:
determining at least one maximum cost energy source flow according to preset conditions, and respectively determining each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices.
In a possible implementation manner, the costs corresponding to the energy streams are sorted in a descending order, the energy streams with several costs that are sorted in the front are determined as the largest-cost energy streams, and the energy-using devices and the energy transmission pipelines corresponding to the largest-cost energy streams are determined as the key maintenance devices, where the preset condition is the number of the costs that are sorted in the front, the number may be one or more, and the number needs to be determined specifically in combination with the needs of an actual service scenario.
In another possible implementation manner, for each cost, whether the cost is greater than a preset threshold is detected, if so, it is determined that the energy flow corresponding to the cost is the maximum cost energy flow, and the plurality of energy utilization devices and the plurality of energy transmission pipelines corresponding to the maximum cost energy flow are respectively determined as key maintenance devices, where the preset threshold may be an empirical value set in combination with an actual service scenario.
It should be noted that the key maintenance equipment specifically refers to equipment that performs maintenance management by using more maintenance resources under the condition of certain maintenance resources (e.g., manpower and capital), that is, performs maintenance management on the key maintenance equipment by using more maintenance resources; accordingly, for the equipment which does not need to be maintained with emphasis, under the condition of certain maintenance resources (such as manpower and capital), less maintenance resources can be divided into the equipment which does not need to be maintained with emphasis. Obviously, when more maintenance resources are used for maintenance management of the key maintenance equipment, excessive maintenance resources are not needed to be spent on the equipment which does not need key maintenance, and the waste of the maintenance resources can be reduced.
In an embodiment of the present invention, each node in the network topology structure diagram corresponds to one energy utilization device, and each directed connection line corresponds to one energy transmission pipeline;
then, the mapping the network topology structure graph into a directed weighted graph includes:
for each node, determining at least one output stream of the node, the output stream including the directional connecting line with the starting point as the node, and determining at least one input stream corresponding to each output stream, the input stream including the directional connecting line with the ending point as the node;
for each of the output streams, determining the output stream, the corresponding respective input streams and the corresponding nodes as traffic streams;
for each second maintenance weight, determining the corresponding output stream or the input stream, and mapping the output stream or the input stream to a second directed edge carrying the second maintenance weight;
for each service flow, mapping the node into a first vertex, a second vertex and a first directed edge according to the first maintenance weight corresponding to the node;
and forming a directed weighting graph by using the first directed edge, the first vertex, the second vertex and each second directed edge corresponding to each service flow.
Specifically, for any node in the network topology structure diagram, determining that the endpoint of the directional connection line is the node as an input stream corresponding to the node, the input stream indicating the flow direction of energy input energy utilization equipment through an energy transmission pipeline, determining that the starting point of the directional connection line is the node as an output stream corresponding to the node, the output stream indicating the flow direction of energy output converted or processed by the energy utilization equipment, then determining one or more output streams corresponding to the node, determining one or more input streams corresponding to each output stream respectively, then determining one or more service streams corresponding to the node, each service stream including the node, the output stream and one or more input streams corresponding to the output stream, thereby realizing the division of the plurality of output streams of the node, and then according to the first maintenance weight corresponding to the node, and mapping the nodes in each service flow into a first vertex, a second vertex and a first directed edge, so that each node in the network topology structure chart can be respectively mapped into a plurality of vertices and one or more directed edges in the directed weighted graph.
Specifically, each input stream and each output stream are mapped to a second directed edge carrying a corresponding second maintenance weight, and the direction of the second directed edge is the flow direction of a corresponding energy source, so that the directed connection line in the network topology structure diagram is mapped to the second directed edge in the directed weighted graph, correspondingly, a directed weighted graph can be formed by using the first directed edge, each second directed edge, the first vertex and the second vertex corresponding to each service stream, respectively, and the directed weighted graph can more accurately reflect the flow direction of the energy source in the actual service scene.
For example, referring to fig. 2, before dividing the service flows, A, B, C, D, E are all directional connection lines, F is a node, when dividing the service flows, the determination that the start point of the directional connection line is node F is an input stream corresponding to node F, the determination that the end point of the directional connection line is node F is an output stream corresponding to node F, A, B, C is both input streams, D, E is output streams, input stream a and input stream C correspond to output stream E, input stream B corresponds to output stream D, input stream a, input stream C, output stream E and node F are determined as one service stream corresponding to node F, at the same time, input stream B, output stream D and node F are determined as another service stream of node F, that is, node F corresponds to two service streams, when mapping the service streams, the second maintenance weight a, B, C corresponding to input stream a are respectively determined, Carrying a second maintenance weight B corresponding to the input stream B, carrying a second maintenance weight C corresponding to the input stream C, carrying a second maintenance weight D corresponding to the output stream D, carrying a second directed edge corresponding to a second maintenance weight E corresponding to the output stream E, dividing the second maintenance weight corresponding to the node F equally, and determining a fourth maintenance weight F, wherein for the node F in one of the service streams, the node F is mapped into a vertex F1, a vertex F2 and a first directed edge carrying the fourth maintenance weight F, the direction of the first directed edge is the flow direction of the service stream, and similarly, the node F capable of mapping the other service stream is a vertex F3, a vertex F4 and a first directed edge carrying the fourth maintenance weight F.
It should be noted that the service flow specifically refers to that energy is transmitted to the energy utilization equipment through one or more energy transmission pipelines, and the energy utilization equipment can convert the energy into other forms of energy (such as converting chemical energy of natural gas into heat energy of steam) or process the energy (such as changing the pressure of saturated steam), and output the converted energy into other forms of energy or processed energy through one energy transmission pipeline.
Obviously, in a possible implementation manner, taking a node as an example for illustration, a first maintenance weight, at least one input stream, and at least one output stream corresponding to the node may be determined, the node is split into two vertices, the two vertices are connected according to the flow direction of each input stream and each output stream, and are mapped as a directed edge carrying the first maintenance weight, so that one node in the network topology structure graph is mapped as one directed edge and two vertices in the directed weighted graph.
In an embodiment of the present invention, the mapping the node into a first vertex, a second vertex, and a first directed edge according to the first maintenance weight corresponding to the node includes:
determining the ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow as a fourth maintenance weight;
splitting the node into a first vertex and a second vertex, connecting the first vertex and the second vertex according to the flow direction of the service flow, and mapping the first vertex and the second vertex into a first directed edge carrying the fourth maintenance weight.
In this embodiment, the number of the service flows corresponding to the node is determined, the ratio of the first maintenance weight corresponding to the node to the number is determined as the fourth maintenance weight, the node is split into the first vertex and the second vertex, the first vertex and the second vertex are connected according to the flow direction of the service flows, and the first vertex and the second vertex are mapped as the first directed edge carrying the fourth maintenance weight, so that the node in the service flows is mapped as the first vertex, the second vertex and the first directed edge, and the flow direction of the energy can be reflected more accurately.
It should be noted that the flow direction of the traffic flow specifically refers to the flow direction of the energy source corresponding to the output flow from the input flow, that is, the flow direction of the energy source in the energy device.
It should also be noted that a node corresponds to a first maintenance weight, one or more traffic flows.
In an embodiment of the present invention, the obtaining a first maintenance weight corresponding to each energy consumption device and a second maintenance weight corresponding to each energy transmission pipeline in a unit time includes:
acquiring operation cost, first maintenance cost and first fixed cost which respectively correspond to each energy utilization device in unit time, and second maintenance cost and second fixed cost which respectively correspond to each energy transmission pipeline;
determining the average value of the running cost, the first maintenance cost and the first fixed cost as a corresponding first maintenance weight for each energy utilization device;
and determining the average value of the second maintenance cost and the second fixed cost as a corresponding second maintenance weight for each energy transmission pipeline.
Specifically, taking an energy-using device as an example, the average value of the operating cost (such as the electricity charge), the first maintenance cost (such as the energy-using device fault maintenance cost) and the first fixed cost of the energy-using device per unit time is obtained, and the first maintenance cost is determined as the average value of the operating cost, the first maintenance cost and the first fixed cost, where the larger the first maintenance cost is, the more the energy-using device should be maintained.
Specifically, a single energy transmission pipeline is taken as an example to be described, a second maintenance cost (for example, maintenance cost of the energy transmission pipeline) and a second fixed cost of the energy transmission pipeline in a unit time are obtained, and an average value of the second maintenance cost and the second fixed cost is determined as a second maintenance weight, where the larger the second maintenance cost is, the more the maintenance of the energy transmission pipeline is required.
It should be noted that the unit time specifically refers to a maintenance time period of the energy-consuming equipment and the energy transmission pipeline, and considering that the operation cost and the maintenance cost of the energy-consuming equipment in different time periods may be different in an actual service scene, the unit time may be changed according to the actual service scene, so as to obtain a plurality of corresponding key maintenance equipments in different time periods.
It should also be noted that the first fixed cost includes, but is not limited to, the capital cost of the energy-using equipment, i.e., the ratio of the capital for purchasing the energy-using equipment to the service life of the energy-using equipment, and the second fixed cost includes, but is not limited to, the capital cost of the energy transmission pipeline, i.e., the ratio of the capital for purchasing the energy transmission pipeline to the service life of the energy transmission pipeline.
Referring to fig. 3, based on the same concept as the method embodiment of the present invention, an embodiment of the present invention further provides an apparatus for determining a key maintenance device in an energy transmission switching network, including:
a first obtaining module 201, configured to obtain a network topology structure diagram of at least two energy source flows in the energy transmission conversion network, where the energy source flows indicate a flow direction of energy flowing in at least two energy transmission pipelines and at least one energy-using device;
a second obtaining module 202, configured to obtain a first maintenance weight corresponding to each energy consumption device in a unit time and a second maintenance weight corresponding to each energy transmission pipeline;
a weighted graph determining module 203, configured to map the network topology structure diagram into a directed weighted graph according to the first maintenance weight corresponding to each energy consumption device and the second maintenance weight corresponding to each energy transmission pipeline;
an energy source flow determining module 204, configured to calculate, by using a shortest path algorithm, a third guard weight of a path corresponding to each energy source flow in the directed weighted graph;
a cost determining module 205, configured to determine a cost of each energy source flow in the energy transmission conversion network according to a third protection weight of a path corresponding to each energy source flow in the directed weighted graph.
Referring to fig. 4, in an embodiment of the present invention, after the cost determining module 205, the method further includes: a device determination module 206;
the device determining module 206 is configured to determine at least one maximum cost energy source flow according to preset conditions, and determine each energy-using device and each energy transmission pipeline corresponding to each maximum cost energy source flow as an important maintenance device, respectively.
Referring to fig. 5, in an embodiment of the present invention, each node in the network topology structure diagram corresponds to one energy utilization device, and each directional connection line corresponds to one energy transmission pipeline;
then, the weighted graph determining module 203 includes: an input stream determining unit 2031, a traffic stream determining unit 2032, a first mapping unit 2033, a second mapping unit 2034, and a weighted graph determining unit 2035; wherein the content of the first and second substances,
the input stream determining unit 2031 is configured to determine, for each node, at least one output stream of the node, where the output stream includes the directional connection line whose starting point is the node, and determine at least one input stream corresponding to each output stream, where the input stream includes the directional connection line whose ending point is the node;
the traffic flow determining unit 2032 is configured to determine, as a traffic flow, the output flow, the corresponding input flows, and the corresponding nodes for each output flow;
the first mapping unit 2033 is configured to determine, for each second maintenance weight, a corresponding output stream or input stream, and map the output stream or input stream to a second directed edge carrying the second maintenance weight;
the second mapping unit 2034 is configured to map, for each service flow, the node into a first vertex, a second vertex, and a first directed edge according to the first maintenance weight corresponding to the node;
the weighted graph determining unit 2035 is configured to form a weighted graph by using the first directed edge, the first vertex, the second vertex, and each second directed edge respectively corresponding to each service flow.
Referring to fig. 6, in an embodiment of the present invention, the second mapping unit 2034 includes: weight determination subunit 20341 and mapping subunit 20342; wherein the content of the first and second substances,
the weight determining subunit 20341 is configured to determine, as a fourth maintenance weight, a ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow;
the mapping subunit 20342 is configured to split the node into a first vertex and a second vertex, connect the first vertex and the second vertex according to the flow direction of the service flow, and map the first vertex and the second vertex into a first directed edge that carries the fourth maintenance weight.
Referring to fig. 7, in an embodiment of the present invention, the second obtaining module 202 includes: an acquisition unit 2021, a first weight determination unit 2022, and a second weight determination unit 2023; wherein the content of the first and second substances,
the obtaining unit 2021 is configured to obtain an operation cost, a first maintenance cost, a first fixed cost, and a second maintenance cost and a second fixed cost, which correspond to each energy consumption device in a unit time, respectively, and each energy transmission pipeline, respectively;
the first weight determining unit 2022 is configured to determine, for each of the energy-consuming devices, an average value of the operating cost, the first maintenance cost, and the first fixed cost as a corresponding first maintenance weight;
the second weight determining unit 2023 is configured to determine, for each energy transmission pipeline, an average value of the second maintenance cost and the second fixed cost as a corresponding second maintenance weight.
Fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. On the hardware level, the electronic device includes a processor 801 and a memory 802 storing execution instructions, and optionally further includes an internal bus 803 and a network interface 804. The Memory 802 may include a Memory 8021, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory 8022 (e.g., at least 1 disk Memory); the processor 801, the network interface 804, and the memory 802 may be connected to each other by an internal bus 803, and the internal bus 803 may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like; the internal bus 803 may be divided into an address bus, a data bus, a control bus, etc., which are indicated by only one double-headed arrow in fig. 8 for convenience of illustration, but do not indicate only one bus or one type of bus. Of course, the electronic device may also include hardware required for other services. When the processor 801 executes execution instructions stored by the memory 802, the processor 801 performs the method of any of the embodiments of the present invention and at least is used to perform the method as shown in fig. 1.
In a possible implementation manner, the processor reads the corresponding execution instruction from the nonvolatile memory to the memory and then runs the corresponding execution instruction, and can also obtain the corresponding execution instruction from other equipment, so as to form a device for determining the cost of the energy source flow in the energy transmission and conversion network on a logic level. The processor executes the execution instructions stored in the memory to implement a method for determining the cost of the energy source flow in the energy transmission conversion network provided by any embodiment of the invention through the executed execution instructions.
The processor may beAn integrated circuit chip has signal processing capability. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; it may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable gate array (Field-Programmable Ga)te Array, FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware component. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Embodiments of the present invention further provide a computer-readable storage medium, which includes an execution instruction, and when a processor of an electronic device executes the execution instruction, the processor executes a method provided in any one of the embodiments of the present invention. The electronic device may specifically be the electronic device shown in fig. 8; the execution instructions are a means for determining a cost of a source stream in the energy transmission and conversion network.
It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as a method or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects.
The embodiments of the present invention are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or boiler that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or boiler. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or boiler that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (6)
1. A method for determining an emphasis maintenance device in an energy transmission switching network, comprising:
acquiring a network topology structure diagram of at least two energy source flows in the energy transmission conversion network, wherein the energy source flows indicate the flowing directions of energy sources flowing in at least two energy transmission pipelines and at least one energy utilization device;
acquiring first maintenance weights respectively corresponding to each energy utilization device in unit time and second maintenance weights respectively corresponding to each energy transmission pipeline, wherein the first maintenance weights are used for indicating the importance degree of the energy utilization device to be maintained, and the second maintenance weights are used for indicating the importance degree of the energy transmission pipeline to be maintained;
mapping the network topology structure diagram into a directed weighting diagram according to the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline, wherein each node in the network topology structure diagram corresponds to one energy utilization device, and each directed connection line corresponds to one energy transmission pipeline; then, the mapping the network topology structure graph into a directed weighted graph includes:
for each node, determining at least one output stream of the node, the output stream including the directional connecting line with the starting point as the node, and determining at least one input stream corresponding to each output stream, the input stream including the directional connecting line with the ending point as the node;
for each of the output streams, determining the output stream, the corresponding respective input streams and the corresponding nodes as traffic streams;
for each second maintenance weight, determining the corresponding output stream or the input stream, and mapping the output stream or the input stream to a second directed edge carrying the second maintenance weight;
for each service flow, mapping the node into a first vertex, a second vertex and a first directed edge according to the first maintenance weight corresponding to the node, specifically: determining the ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow as a fourth maintenance weight; splitting the node into a first vertex and a second vertex, connecting the first vertex and the second vertex according to the flow direction of the service flow, and mapping the first vertex and the second vertex into a first directed edge carrying the fourth maintenance weight;
forming a directed weighting graph by using the first directed edge, the first vertex, the second vertex and each second directed edge corresponding to each service flow;
calculating a third guard weight of a path corresponding to each energy source flow in the directed weighted graph respectively by using a shortest path algorithm;
determining the cost of each energy source flow in the energy transmission and conversion network according to the third protection weight of the path corresponding to each energy source flow in the directed weighted graph;
determining at least one maximum cost energy source flow according to preset conditions, and respectively determining each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices.
2. The method of claim 1,
the acquiring of the first maintenance weight corresponding to each energy utilization device and the second maintenance weight corresponding to each energy transmission pipeline in unit time includes:
acquiring operation cost, first maintenance cost and first fixed cost which respectively correspond to each energy utilization device in unit time, and second maintenance cost and second fixed cost which respectively correspond to each energy transmission pipeline;
and determining the average value of the running cost, the first maintenance cost and the first fixed cost as a corresponding first maintenance weight for each energy utilization device.
3. An apparatus for determining an emphasis maintenance device in an energy transmission switching network, comprising:
the first acquisition module is used for acquiring a network topology structure diagram of at least two energy source flows in the energy transmission conversion network, wherein the energy source flows indicate the flowing direction of energy sources when the energy sources flow in at least two energy transmission pipelines and at least one energy using device;
a second obtaining module, configured to obtain a first maintenance weight corresponding to each energy consumption device in a unit time and a second maintenance weight corresponding to each energy transmission pipeline, where the first maintenance weight is used to indicate an importance degree that the energy consumption device should be maintained, and the second maintenance weight is used to indicate an importance degree that the energy transmission pipeline should be maintained;
a weighted graph determining module, configured to map the network topology structure diagram into a directed weighted graph according to the first maintenance weight corresponding to each energy-consuming device and the second maintenance weight corresponding to each energy transmission pipeline, where each node in the network topology structure diagram corresponds to one energy-consuming device, and each directed connection line corresponds to one energy transmission pipeline; then, the weighted graph determining module includes: the system comprises an input stream determining unit, a service stream determining unit, a first mapping unit, a second mapping unit and a weighted graph determining unit; wherein the content of the first and second substances,
the input stream determining unit is configured to determine, for each of the nodes, at least one output stream of the node, where the output stream includes the directional connection line whose starting point is the node, and determine at least one input stream corresponding to each of the output streams, where the input stream includes the directional connection line whose ending point is the node;
the service flow determining unit is configured to determine, as a service flow, the output flow, the corresponding input flows, and the corresponding nodes for each output flow;
the first mapping unit is configured to determine, for each second maintenance weight, a corresponding output stream or input stream, and map the output stream or the input stream to a second directed edge carrying the second maintenance weight;
the second mapping unit is configured to map, for each service flow, the node into a first vertex, a second vertex, and a first directed edge according to the first maintenance weight corresponding to the node; specifically, the second mapping unit includes: a weight determination subunit and a mapping subunit; the weight determination subunit is configured to determine, as a fourth maintenance weight, a ratio of the first maintenance weight corresponding to the node to the number of each corresponding service flow; the mapping subunit is configured to split the node into a first vertex and a second vertex, connect the first vertex and the second vertex according to a flow direction of the service flow, and map the first vertex and the second vertex into a first directed edge carrying the fourth maintenance weight;
the weighted graph determining unit is configured to form a weighted graph by using the first directed edge, the first vertex, the second vertex, and each second directed edge corresponding to each service flow;
the energy source flow determining module is used for calculating a third protecting weight of a path corresponding to each energy source flow in the directed weighted graph by using a shortest path algorithm;
the cost determination module is used for determining the cost of each energy source flow in the energy transmission conversion network according to the size of a third protection weight of a path corresponding to each energy source flow in the directed weighted graph;
the device determining module is configured to determine at least one maximum cost energy source flow according to preset conditions, and determine each energy utilization device and each energy transmission pipeline corresponding to each maximum cost energy source flow as key maintenance devices respectively.
4. The apparatus of claim 3,
the second obtaining module includes: the device comprises an acquisition unit, a first weight determination unit and a second weight determination unit; wherein the content of the first and second substances,
the acquisition unit is used for acquiring the running cost, the first maintenance cost and the first fixed cost which respectively correspond to each energy utilization device in unit time, and the second maintenance cost and the second fixed cost which respectively correspond to each energy transmission pipeline;
the first weight determination unit is configured to determine, for each of the energy-consuming devices, an average value of the operating cost, the first maintenance cost, and the first fixed cost as a corresponding first maintenance weight;
the second weight determination unit is configured to determine, for each energy transmission pipeline, an average value of the second maintenance cost and the second fixed cost as a corresponding second maintenance weight.
5. A computer readable storage medium comprising executable instructions which, when executed by a processor of an electronic device, cause the processor to perform the method of claim 1 or 2.
6. An electronic device comprising a processor and a memory storing execution instructions, the processor performing the method of claim 1 or 2 when the processor executes the execution instructions stored by the memory.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910398608.7A CN110189166B (en) | 2019-05-14 | 2019-05-14 | Method and device for determining key maintenance equipment in energy transmission conversion network |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910398608.7A CN110189166B (en) | 2019-05-14 | 2019-05-14 | Method and device for determining key maintenance equipment in energy transmission conversion network |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110189166A CN110189166A (en) | 2019-08-30 |
| CN110189166B true CN110189166B (en) | 2022-02-08 |
Family
ID=67716181
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910398608.7A Active CN110189166B (en) | 2019-05-14 | 2019-05-14 | Method and device for determining key maintenance equipment in energy transmission conversion network |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110189166B (en) |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105912844A (en) * | 2016-04-07 | 2016-08-31 | 中国石油大学(北京) | Method and device for evaluating gas supply reliability of natural gas pipeline network |
| CN108494021A (en) * | 2018-04-20 | 2018-09-04 | 东北大学 | The Stability Assessment of electric-thermal-gas integrated energy system and static cost control method |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107633309B (en) * | 2017-09-22 | 2018-08-31 | 合肥工业大学 | It is a kind of complexity former maintenance policy determine method and system |
-
2019
- 2019-05-14 CN CN201910398608.7A patent/CN110189166B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105912844A (en) * | 2016-04-07 | 2016-08-31 | 中国石油大学(北京) | Method and device for evaluating gas supply reliability of natural gas pipeline network |
| CN108494021A (en) * | 2018-04-20 | 2018-09-04 | 东北大学 | The Stability Assessment of electric-thermal-gas integrated energy system and static cost control method |
Non-Patent Citations (1)
| Title |
|---|
| "An integrated systemic method for supply reliability assessment of natural gas pipeline networks";Huai Su;《Applied Energy》;20171030;第489-501页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110189166A (en) | 2019-08-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111309486B (en) | Conversion method, conversion device, computer equipment and storage medium | |
| CN110891093A (en) | Method and system for selecting edge computing node in delay sensitive network | |
| US9337649B2 (en) | Fault processing system | |
| CN104901989A (en) | Field service providing system and method | |
| CN113220483A (en) | Switching method and system for block chain consensus main node | |
| CN104361190B (en) | The method and device of empty terminal automation connection in electrical secondary system | |
| CN112861346A (en) | Data processing system, method and electronic equipment | |
| CN110189166B (en) | Method and device for determining key maintenance equipment in energy transmission conversion network | |
| US11294717B2 (en) | Multiple stage data stream processing method and data stream processing system | |
| US11755302B2 (en) | Application placement device and application placement program | |
| CN108829807A (en) | A kind of public sentiment merging method, device, server and storage medium | |
| CN114138452B (en) | High-energy-efficiency computing node selection method and device in edge computing | |
| CN108920879B (en) | Frequency shift modeling simulation method and device | |
| CN103605573A (en) | Reconfigurable architecture mapping decision-making method based on expense calculation | |
| CN109740235B (en) | Method and device for determining coal saving amount of coal-fired boiler, readable medium and electronic equipment | |
| CN103780515A (en) | Method and controller for announcing bandwidth of cluster system | |
| CN109858119B (en) | Dynamic energy efficiency modeling method and device, readable medium and electronic equipment | |
| CN113037685B (en) | Data transmission method and electronic equipment | |
| CN109390943B (en) | Whole-network short-circuit current analysis method and system based on external network online equivalence | |
| CN112862138A (en) | Thermal load prediction method and device, readable medium and electronic equipment | |
| CN114429235A (en) | Equipment fault prediction method and device, readable medium and electronic equipment | |
| CN112651460A (en) | Identification method and device for photovoltaic power abnormal data | |
| CN111782479A (en) | Log processing method and device, electronic equipment and computer readable storage medium | |
| CN109638845A (en) | Transmission line of electricity switching assembled scheme method for building up and device | |
| CN110081408B (en) | Steam regulation and control method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |