CN107610271A - A kind of electric intelligent inspection system - Google Patents
A kind of electric intelligent inspection system Download PDFInfo
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- CN107610271A CN107610271A CN201710855491.1A CN201710855491A CN107610271A CN 107610271 A CN107610271 A CN 107610271A CN 201710855491 A CN201710855491 A CN 201710855491A CN 107610271 A CN107610271 A CN 107610271A
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- 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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Abstract
The invention provides a kind of electric intelligent inspection system, including electric power monitoring module, cloud computing platform and power monitoring platform, the electric power monitoring module connects with cloud computing platform communication, the cloud computing platform connects with power monitoring platform communication, the cloud computing platform includes data storage cell, cloud computing processing unit, database server, the FPDP of the cloud computing processing unit is connected with the FPDP of the database server, the signal output part of the cloud computing processing unit is connected with the signal input part of the data storage cell.The present invention can inquire about the parameters of electric power of different time on unified monitoring point by database server, the parameters of electric power that can also inquire about on the test point of same time diverse location, realize Monitoring Data and share.
Description
Technical Field
The invention relates to the technical field of power inspection, in particular to an intelligent power inspection system.
Background
Among the correlation technique, electric power patrols and examines mainly and focuses on with single equipment as the target, and state monitoring device is many kinds, function and interface diverse, isolated operation, upgrading and maintenance difficulty, and monitoring data can't share, not obtain make full use of, causes can't carry out overall analysis to the operation conditions of each equipment, can't make effective, economic maintenance decision-making, can't satisfy the requirement of following smart power grids to panorama state information monitoring.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent power inspection system.
The purpose of the invention is realized by adopting the following technical scheme:
the utility model provides an electric power intelligence system of patrolling and examining, including electric power monitoring module, cloud computing platform and electric power monitoring platform, electric power monitoring module with the communication of cloud computing platform is connected, cloud computing platform with the communication of electric power monitoring platform is connected, cloud computing platform includes data storage unit, cloud computing processing unit, database server, the data port of cloud computing processing unit with the data port of database server is connected, the signal output part of cloud computing processing unit with data storage unit's signal input part connects.
The beneficial effects of the invention are as follows: the cloud computing platform stores the processed data to the database server, the database server can inquire the power parameters of the unified monitoring points at different times and the power parameters of the monitoring points at the same time and different positions, and monitoring data sharing is achieved.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, without inventive effort, further drawings may be derived from the following figures.
FIG. 1 is a block diagram of the present invention;
FIG. 2 is a connection block diagram of the cloud computing platform of the present invention.
Reference numerals:
the system comprises an electric power monitoring module 1, a cloud computing platform 2, an electric power monitoring platform 3, a client 4, a data storage unit 5, a cloud computing processing unit 6 and a database server 7.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1 and fig. 2, the intelligent power inspection system provided in this embodiment includes a power monitoring module 1, a cloud computing platform 2 and a power monitoring platform 3, the power monitoring module 1 is in communication connection with the cloud computing platform 2, the cloud computing platform 2 is in communication connection with the power monitoring platform 3, the cloud computing platform 2 includes a data storage unit 5, a cloud computing processing unit 6 and a database server 7, a data port of the cloud computing processing unit 6 is connected with a data port of the database server 7, and a signal output end of the cloud computing processing unit 6 is connected with a signal input end of the data storage unit 5.
Preferably, the power monitoring module 1 includes a communication server and a wireless sensor network for acquiring power parameters on power transmission lines at different places, and the wireless sensor network is connected with a data port of the cloud computing processing unit 6 through the communication server.
Further, the power supply system further comprises a client side 4 in communication connection with the cloud computing platform 2, and the client side 4 acquires the historical power parameters by accessing the cloud computing platform 2.
In the embodiment of the invention, the cloud computing platform 2 stores the processed data in the database server 7, and the database server 7 can query the power parameters of the unified monitoring points at different times and the power parameters of the monitoring points at the same time and different positions, so that the monitoring data sharing is realized.
Preferably, the wireless sensor network includes a plurality of power parameter collection nodes for collecting power parameters and a sink node for collecting power parameters sent by the power parameter collection nodes, and the sink node fuses the collected power parameters and sends the fused power parameters to the cloud computing platform 2.
In one embodiment, when the power parameter collection node and the sink node are in a multi-hop distance, selecting a next hop forwarding node to assist in forwarding the power parameter specifically includes:
(1) Each timeEach power parameter acquisition node acquires the level numbers of the power parameter acquisition node and the neighbor nodes according to the distance from the power parameter acquisition node to the sink node, and the communication distance of the sink node is set to be L o The distance from the power parameter acquisition node gamma to the sink node is L γ-o If L is γ-o ≤L o If L is equal to 1, the level number of the power parameter acquisition node gamma is 1 o <L γ-o ≤1.5L o If the level number of the power parameter acquisition node gamma is 1.5L, the level number of the power parameter acquisition node gamma is 2 o ＜L γ-o ≤2L o If L is less than 3, the level number of the power parameter acquisition node gamma is 3 γ-o <2L o If yes, the hierarchy number of the power parameter acquisition node gamma is 4;
(2) Setting that a father node set of the electric power parameter acquisition nodes is all neighbor nodes with layer numbers smaller than that of the electric power parameter acquisition nodes, setting that a brother node set is neighbor nodes with layer numbers identical to that of the electric power parameter acquisition nodes, wherein the neighbor nodes are the electric power parameter acquisition nodes in the communication range of the electric power parameter acquisition nodes, and calculating the forwarding capacity evaluation values of all the neighbor nodes in the father node set and the brother node set according to the following formula:
in the formula, E i (j) A forwarding capability evaluation value U of a parent node set and a neighbor node j in a brother node set representing the power parameter collection node i j 、U j0 Respectively the current residual energy, initial energy, R of the neighbor node j i*j The number of the power parameter packets of the neighbor node j which transmits the power parameter acquisition node i in a cooperative manner up to now is shown, R i→j Represents the number of the power parameter packets transmitted by the power parameter acquisition node i to the neighbor node j so far, R j ，M j Number of neighbor nodes M for neighbor node j j The number of neighbor nodes of the power parameter acquisition node i is counted;
(3) Determining respective maximum forwarding capacity evaluation values of the sibling node set and the parent node set, and setting the sibling node setThe centralized maximum forwarding capacity evaluation value is E i (x) And the maximum forwarding capacity evaluation value in the father node set is E i (y) if E i (x)<E i (y) then E is selected i (y) the corresponding neighbor node is used as a next hop forwarding node, otherwise, the average forwarding capacity evaluation value of the neighbor node in the father node set is calculated;
(4) The average forwarding capacity evaluation value of the neighbor nodes in the father node set is set asIf it isThen choose E i (x) The corresponding neighbor node is used as the next skip sending node, otherwise, E is selected i And (y) taking the corresponding neighbor node as a next hop forwarding node.
The embodiment designs a routing strategy of the next hop forwarding node, wherein a calculation formula of a forwarding capacity evaluation value is designed based on energy, a trust value and a node degree, an optimal neighbor node is selected from a brother node set and a father node set to serve as the next hop forwarding node, the reliability of power parameter forwarding transmission can be improved, compared with a mode of randomly selecting the next hop forwarding node, the communication overhead of the intelligent power inspection system can be reduced, the selection process is simple, and the routing path establishment delay is short.
In one embodiment, after the power parameter collection node selects the next hop forwarding node, the neighbor nodes in the remaining parent node set and sibling node set are sorted according to the descending order of the forwarding capability evaluation values, the neighbor node with the largest forwarding capability evaluation value is selected as the remedial forwarding node, the assisted forwarding probability is calculated according to the following formula and sent to the remedial forwarding node, and when the remedial forwarding node monitors that the forwarding node does not forward the power parameter packet, the remedial forwarding node participates in forwarding the non-forwarded power parameter packet according to the assisted forwarding probability:
(1) When the remediation forwarding node is within communication range of the forwarding node,
Q d ＝λ×[P μv +P μv 2 -1]+1-λ
(2) When the remediation forwarding node is not within communication range of the forwarding node,
Q d ＝λ×[P μv +P μv 2 -1]+(1-λ)(1-P μv 2 )
in the formula, Q d Indicating the assisted forwarding probability, P, of the remedial forwarding node d μv And the link quality between the power parameter acquisition node mu and the next hop transmission node v is represented, lambda is the power parameter importance degree of the set power parameter acquisition node, and the value range of lambda is (0, 1).
Compared with a mode of directly replacing a next hop forwarding node or reselecting a forwarding path, the embodiment sets a remedial forwarding node to assist in forwarding the power parameter packet which is possibly discarded by the forwarding node, is beneficial to improving the reliability of power parameter transmission, has short delay, and greatly reduces the overhead of maintaining the stability of power parameter transmission, wherein the assisted forwarding probability is calculated according to the link quality between nodes and the importance degree of the power parameter, and participates in the forwarding of the power parameter packet which is possibly discarded according to the assisted forwarding probability.
In one embodiment, when the remedial forwarding node monitors that the forwarding node does not forward the power parameter packet, the forwarding assisting trust level is calculated in advance, and when the forwarding assisting trust level is greater than the set forwarding assisting trust level, the remedial forwarding node participates in forwarding the power parameter packet which is not forwarded according to the forwarding assisting probability; when the assisted forwarding trust level is less than the set assisted forwarding trust level, the remedial forwarding node does not participate in forwarding the untransmitted power parameter packet;
where phi denotes the degree of forwarding assistance trust, U β 、U β0 Respectively representing the current residual energy, the initial energy, U of the remedying forwarding node beta T For the set minimum energy proportion threshold value,for a set value function, whenWhen the temperature of the water is higher than the set temperature,when in useWhen the utility model is used, the water is discharged,R β→α to remedy up to now the number of power parameter packets, R, sent by the forwarding node beta to the forwarding node alpha β*α The number of the power parameter packets sent by the forwarding node alpha in cooperation forwarding is shown until the remedial forwarding node beta monitors the situation that the forwarding node alpha transmits the power parameter packets in cooperation.
In this embodiment, the remedial forwarding node determines whether to perform remedial forwarding on the power parameter packet that may be discarded according to the trust record of the forwarding node, the assisted forwarding probability, and the current remaining energy of the remedial forwarding node, so that it is beneficial to retain the forwarding node with a better energy-assisted trust record, and the reliability of remedial forwarding of the power parameter is improved.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (6)
1. The utility model provides an electric power intelligence system of patrolling and examining, characterized by, includes electric power monitoring module, cloud computing platform and electric power monitoring platform, electric power monitoring module with the communication of cloud computing platform is connected, cloud computing platform with the communication of electric power monitoring platform is connected, cloud computing platform includes data storage unit, cloud computing processing unit, database server, cloud computing processing unit's data port with the data port of database server is connected, cloud computing processing unit's signal output part with data storage unit's signal input part connects.
2. The intelligent power inspection system according to claim 1, wherein the power monitoring module includes a communication server and a wireless sensor network for acquiring power parameters of power transmission lines at different locations, and the wireless sensor network is connected with a data port of the cloud computing processing unit through the communication server.
3. The intelligent power inspection system according to claim 2, further comprising a client communicatively connected to the cloud computing platform, wherein the client obtains the historical power parameters by accessing the cloud computing platform.
4. The intelligent power inspection system according to claim 2, wherein the wireless sensor network comprises a plurality of power parameter acquisition nodes for acquiring power parameters and a sink node for collecting the power parameters sent by the power parameter acquisition nodes, and the sink node fuses the collected power parameters and sends the fused power parameters to the cloud computing platform.
5. The intelligent power inspection system according to claim 4, wherein when the power parameter collection nodes and the aggregation nodes are in a multi-hop distance, the next hop transmission node is selected to assist in forwarding the power parameters, and the intelligent power inspection system specifically comprises:
(1) Each power parameter acquisition node acquires the hierarchy number of the power parameter acquisition node and the hierarchy number of the neighbor node according to the distance from the power parameter acquisition node to the sink node, and the communication distance of the sink node is set to be L O Power parameter acquisition node gamma to sinkDistance of the gathering point is L γ-O If L is γ-O ≤L O If the level number of the power parameter acquisition node gamma is 1, if L is L O <L γ-O ≤1.5L O If the level number of the power parameter acquisition node gamma is 2, the level number is 1.5L O <L γ-O ≤2L O If L is less than 3, the level number of the power parameter acquisition node gamma is 3 γ-O <2L O If yes, the hierarchy number of the power parameter acquisition node gamma is 4;
(2) Setting a father node set of the power parameter acquisition nodes as all neighbor nodes with the layer numbers smaller than that of the power parameter acquisition nodes, setting a brother node set as neighbor nodes with the layer numbers the same as that of the power parameter acquisition nodes, wherein the neighbor nodes are the power parameter acquisition nodes in the communication range of the power parameter acquisition nodes, and calculating the forwarding capacity evaluation values of all the neighbor nodes in the father node set and the brother node set according to the following formulas:
in the formula, E i (j) A forwarding capability evaluation value U of a parent node set and a neighbor node j in a brother node set representing the power parameter collection node i j 、U j0 Respectively the current residual energy, initial energy, R of the neighbor node j i*j Indicates the number R of the power parameter packets of the neighbor node j which forward the power parameter acquisition node i in a cooperative way so far i→j Represents the number of the power parameter packets transmitted to the neighbor node j by the power parameter acquisition node i so far, R j ，M j Number of neighbor nodes M for neighbor node j j The number of neighbor nodes of the power parameter acquisition node i is counted;
(3) Determining respective maximum forwarding capacity evaluation values of the sibling node set and the parent node set, and setting the maximum forwarding capacity evaluation value in the sibling node set as E i (x) The maximum forwarding capacity evaluation value in the parent node set is E i (y) if E i (x)<E i (y) then E is selected i (y) the corresponding neighbor node is used as the next hop forwarding node, otherwise, the average forwarding capability evaluation value of the neighbor nodes in the father node set is calculated;
(4) The average forwarding capacity evaluation value of the neighbor nodes in the father node set is set asIf it isThen choose E i (x) The corresponding neighbor node is used as the next jump sending node, otherwise, E is selected i And (y) taking the corresponding neighbor node as a next hop forwarding node.
6. The intelligent power inspection system according to claim 5, wherein after the power parameter collection node selects the next hop forwarding node, the neighbor nodes in the remaining parent node set and sibling node set are sorted in descending order of the forwarding capability evaluation value, the neighbor node with the highest forwarding capability evaluation value is selected as the remedial forwarding node, the assisted forwarding probability is calculated according to the following formula and sent to the remedial forwarding node, and when the remedial forwarding node monitors that the forwarding node does not forward the power parameter packet, the remedial forwarding node participates in forwarding the non-forwarded power parameter packet according to the assisted forwarding probability:
(1) When the remediation forwarding node is within communication range of the forwarding node,
Q d ＝λ×[P μv +P μv 2 -1]+1-λ
(2) When the remediation forwarding node is not within communication range of the forwarding node,
Q d ＝λ×[P μv +P μv 2 -1]+(1-λ)(1-P μv 2 )
in the formula, Q d Indicating the assisted forwarding probability, P, of the remedial forwarding node d μv Represents the link quality between the power parameter acquisition node mu and the next hop transmission node v, and lambda is the set powerAnd the importance degree of the power parameters of the parameter acquisition nodes.
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Application publication date: 20180119 |