CN108681295B - Intelligent automatic fire-fighting measurement and control system for wind power engine room - Google Patents
Intelligent automatic fire-fighting measurement and control system for wind power engine room Download PDFInfo
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- 238000005259 measurement Methods 0.000 title claims abstract description 16
- 230000007613 environmental effect Effects 0.000 claims abstract description 38
- CURLTUGMZLYLDI-UHFFFAOYSA-N Carbon dioxide Chemical compound O=C=O CURLTUGMZLYLDI-UHFFFAOYSA-N 0.000 claims abstract description 20
- 238000012544 monitoring process Methods 0.000 claims abstract description 15
- 229910002092 carbon dioxide Inorganic materials 0.000 claims abstract description 10
- 239000001569 carbon dioxide Substances 0.000 claims abstract description 10
- 230000003993 interaction Effects 0.000 claims abstract description 8
- 230000002457 bidirectional effect Effects 0.000 claims abstract description 4
- 239000007789 gas Substances 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 11
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000010276 construction Methods 0.000 claims description 4
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 3
- 238000000034 method Methods 0.000 claims description 3
- 239000001301 oxygen Substances 0.000 claims description 3
- 229910052760 oxygen Inorganic materials 0.000 claims description 3
- 239000000779 smoke Substances 0.000 claims description 3
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- 238000007726 management method Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 239000012208 gear oil Substances 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000035945 sensitivity Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
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- G—PHYSICS
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/048—Monitoring; Safety
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D17/00—Monitoring or testing of wind motors, e.g. diagnostics
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F03—MACHINES OR ENGINES FOR LIQUIDS; WIND, SPRING, OR WEIGHT MOTORS; PRODUCING MECHANICAL POWER OR A REACTIVE PROPULSIVE THRUST, NOT OTHERWISE PROVIDED FOR
- F03D—WIND MOTORS
- F03D7/00—Controlling wind motors
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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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention provides an intelligent automatic fire-fighting measurement and control system for a wind power cabin, which comprises a wireless sensor network monitoring subsystem, a control center, an equipment control module, an emergency execution module and a fire-fighting module, wherein the wireless sensor network monitoring subsystem is connected with the control center; the wireless sensor network monitoring subsystem comprises a base station and sensor nodes, wherein each sensor node is responsible for acquiring environmental data of a measured point, and the base station is responsible for bidirectional information interaction between the sensor nodes and the control center; the control center is used for controlling the equipment control module, the emergency execution module and the fire control module to work according to environmental data, the equipment control module is used for controlling the power supply and the start and stop of the wind turbine generator, the fire control module is used for driving carbon dioxide gas to extinguish fire according to instructions of the control center, and the emergency execution module is used for receiving instructions of the control center, cutting off the connection between the wind turbine generator and a power grid and recording the field conditions.
Description
Technical Field
The invention relates to the field of fire control monitoring, in particular to an intelligent automatic fire control measurement and control system for a wind power cabin.
Background
Wind power generation is mainly realized by a wind generating set and a control system thereof. The wind generating set and the main control system thereof are arranged in a nacelle at the top of a wind generating tower tube which is more than 60 meters away from the ground, and the whole nacelle can be called as the heart and the brain of the wind generating set. When the temperature exceeds the hot-spot resistance of the motor, a light person causes the wind driven generator or a control system to break down, and gear oil in the gear box is likely to leak. The serious person will ignite the cable in the cabin or the combustible substances such as gear oil which are leaked out from the electrical appliances of the control system, and the like, thereby causing the fire condition. In the related art, an emergency device for actively and automatically measuring and controlling safety in an engine room and fire fighting is basically absent in a running wind generating set.
Disclosure of Invention
Aiming at the problems, the invention provides an intelligent automatic fire-fighting measurement and control system for a wind power cabin.
The purpose of the invention is realized by adopting the following technical scheme:
the intelligent automatic fire-fighting measurement and control system for the wind power engine room comprises a wireless sensor network monitoring subsystem, a control center, an equipment control module, an emergency execution module and a fire-fighting module; the system comprises a wireless sensor network monitoring subsystem, a control center and a control center, wherein the wireless sensor network monitoring subsystem is used for acquiring environmental data including temperature, smoke concentration and oxygen concentration in a wind turbine cabin and comprises a base station and a plurality of sensor nodes deployed in a fire control measurement and control area, each sensor node is responsible for acquiring the environmental data of a measured point, the base station is responsible for bidirectional information interaction between the sensor nodes and the control center, and when the sensor nodes and the base station are in single-hop distance, the sensor nodes directly transmit the acquired environmental data to the base station; when the sensor node and the base station are in a multi-hop distance, the sensor node sends the acquired environmental data to the base station in a multi-hop forwarding mode; the control center is used for controlling the equipment control module, the emergency execution module and the fire-fighting module to work according to environmental data, wherein the equipment control module, the fire-fighting module and the emergency execution module are all in wireless connection with the control center, the equipment control module is used for controlling the power supply and the start and stop of the wind turbine generator, the fire-fighting module is used for driving carbon dioxide gas to extinguish fire according to instructions of the control center, and the emergency execution module is used for receiving instructions of the control center, cutting off the connection between the wind turbine generator and a power grid and recording the field situation.
The invention has the beneficial effects that: the wireless sensor network technology is combined, the management distance is long, the range is wide when a wind power plant operates, the unit distribution is dispersed, the real-time collection of environmental data in a wind power engine room is realized under the current situations of special engine room position environment, special high-altitude special environment, unattended operation and the like, the collected environmental data is processed through a control center, and the automatic monitoring and emergency processing of the fire safety of the wind power engine room are realized.
Drawings
The invention is further illustrated by means of the attached drawings, but the embodiments in the drawings do not constitute any limitation to the invention, and for a person skilled in the art, other drawings can be obtained on the basis of the following drawings without inventive effort.
FIG. 1 is a system architecture connection block diagram of an exemplary embodiment of the present invention;
fig. 2 is a block diagram of structural connections of a control center according to an exemplary embodiment of the present invention.
Reference numerals:
the system comprises a wireless sensor network monitoring subsystem 1, a control center 2, an equipment control module 3, an emergency execution module 4, a fire fighting module 5, a central processing module 10, a storage module 20, a driving module 30, a display module 40, a signal processing module 50 and an input module 60.
Detailed Description
The invention is further described with reference to the following examples.
Referring to fig. 1, the intelligent automatic fire-fighting measurement and control system for the wind power cabin provided by the embodiment comprises a wireless sensor network monitoring subsystem 1, a control center 2, an equipment control module 3, an emergency execution module 4 and a fire-fighting module 5; the wireless sensor network monitoring subsystem 1 is used for acquiring environmental data including temperature, smoke concentration and oxygen concentration in a wind turbine cabin, and comprises a base station and a plurality of sensor nodes deployed in a fire control measurement and control area, wherein each sensor node is responsible for acquiring environmental data of a measured point, the base station is responsible for bidirectional information interaction between the sensor nodes and a control center, and when the sensor nodes and the base station are in a single-hop distance, the sensor nodes directly transmit the acquired environmental data to the base station; when the sensor node and the base station are in a multi-hop distance, the sensor node sends the acquired environmental data to the base station in a multi-hop forwarding mode; control center 2 be used for according to the work of environmental data control equipment control module 3, emergent execution module 4 and fire control module 5, wherein equipment control module 3, fire control module 5 and emergent execution module 4 are all wireless connection control center 2, equipment control module 3 is used for controlling the power supply of wind turbine generator system and opening and stop, fire control module 5 be used for putting out a fire according to control center 2's instruction drive carbon dioxide gas, emergent execution module 4 be used for receiving control center 2's instruction, cut off being connected of wind turbine generator system and electric wire netting and take notes the site conditions.
Preferably, the control center 2 includes a storage module 20 for storing environment data, a driving module 30 and a display module 40 for receiving instructions from the central processing module 10, a signal processing module 50 for transmitting information to the central processing module 10, and an input module 60.
Preferably, the fire fighting module 5 comprises a carbon dioxide gas high-pressure gas cylinder, a nitrogen gas driver cylinder, a gas delivery pipe and a driving pipeline, after the control center 2 judges that a fire occurs according to environmental data, an electromagnetic valve on the nitrogen gas driver cylinder sends an opening signal, nitrogen gas in the driving gas cylinder opens a flat valve of the carbon dioxide gas high-pressure gas cylinder through the driving pipeline, so that the carbon dioxide gas is rapidly and automatically sprayed out and is delivered into the cabin through the gas delivery pipe to extinguish the fire.
The embodiment of the invention combines the wireless sensor network technology, realizes the real-time collection of the environmental data in the wind turbine cabin under the conditions of long management distance, wide range, dispersed unit distribution, special cabin position environment, special high-altitude special environment, unattended operation and the like when a wind turbine works, and realizes the automatic monitoring and emergency treatment of the fire safety of the wind turbine cabin by processing the collected environmental data through the control center 2.
In one embodiment, the sending, by the sensor node, the acquired environmental data to the base station in a multi-hop forwarding manner specifically includes:
(1) when a network is initialized, a base station broadcasts a neighbor node list construction message to all sensor nodes, and after receiving the neighbor node list construction message, the sensor nodes acquire neighbor node information through information interaction and construct a neighbor node list; initially, the sensor node randomly selects one neighbor node from a plurality of neighbor nodes as a relay node according to a neighbor node list, and transmits the acquired environmental data to the relay node, so that the acquired environmental data is transmitted to the base station in a mode of forwarding the environmental data by the plurality of relay nodes;
(2) after a time period T, the sensor node acquires feedback information of the number of environment data packets forwarded by the neighbor node and the total number of environment data packets forwarded by the neighbor node in the time period T through information interaction with the neighbor node, and during the next time period T, the sensor node calculates the trust of the sensor node on each neighbor node every other time interval delta T according to the feedback information;
(3) the sensor node divides the trust level of each neighbor node according to the current trust level, divides the neighbor nodes into three types of normal nodes, malicious nodes and selfish nodes, selects one of the normal nodes as a relay node, and sends an environment data packet to the relay node.
Wherein, the calculation formula for setting the trust degree is as follows:
in the formula, Pij(T + at) represents the sensor node i's confidence level in its jth neighbor node at time T + at,
qij(T) the number Q of forwarding environment data packets by the sensor node i in the time period T for the jth neighbor nodej(T) is the total number of the jth neighbor node forwarding the environmental data packet within the time period T, DijIs the distance between the sensor node i and its j-th neighbor node, DjoIs the distance from the jth neighbor node to the base station, DilIs the distance between the sensor node i and its l-th neighbor node, DloIs the distance from the l-th neighbor node to the base station, niNumber of neighbor nodes of sensor node i, e-wΔtFor the confidence decay factor, w ∈ (0, 0.1)]A and b are weight coefficients satisfying 0<a,b<1。
The specific method for dividing the neighbor nodes is as follows: setting a first confidence threshold h1A second confidence threshold h2For any neighbor node j of the sensor node i, when Pij(T+Δt)∈(0,h1) When P is the malicious node, the neighboring node j is divided into the malicious nodesij(T+Δt)∈[h1,h2) When in use, willThe neighbor node j is divided into selfish nodes, when Pij(T+Δt)∈[h2And 1), dividing the neighbor node j into normal nodes.
In the routing mechanism, a strategy for dividing the trust level of each neighbor node according to the trust level is innovatively provided, a calculation formula of the trust level is innovatively set, the calculation formula judges the trust level of the neighbor node relative to the sensor node according to the condition of forwarding a data packet by the node and the distance condition between the nodes, and the condition of trust attenuation due to time lapse is considered, so that the routing mechanism has certain robustness; the sensor nodes with high trust degree (namely normal nodes) are selected for the sensor nodes with the multi-hop distance from the base station to forward the environment data packet, so that the reliability of environment data transmission is improved, and the stable communication is guaranteed.
And when the next time period T is up, the sensor node acquires the feedback information again, and calculates the trust level of the sensor node to each neighbor node at intervals of time delta T according to the feedback information, so that the process of the sensor node for dividing the trust level of the neighbor node is dynamic, and the calculated trust level can be ensured to more accurately measure the state and the forwarding capacity of the neighbor node.
First confidence threshold h1The critical values of the non-malicious nodes and the malicious nodes influence the sensitivity of judging the malicious nodes if the critical values are too low, and some non-malicious nodes are excluded from a data transmission path if the critical values are too high, so that the routing efficiency is reduced. In one embodiment, the first confidence threshold h is set according to the following equation1A second confidence threshold h2：
In the formula, niNumber of neighbor nodes for sensor node iEye, P0As an initial trust level, P, of a neighboring node0＝0.5。
The present embodiment proposes a first confidence threshold h1A second confidence threshold h2The set formula of (2) enables the set of the trust critical value to dynamically change according to the change of the trust degree, so that the classification of the sensor nodes can be better carried out according to the trust degree, the sensitivity of judging malicious nodes is improved, and the routing efficiency is improved.
In one embodiment, for a relay node having a plurality of environment data packets to be forwarded, forwarding the environment data packets according to a descending order of priorities of the environment data packets, wherein a calculation formula of the priorities of the environment data packets is as follows:
in the formula (I), the compound is shown in the specification,
indicating the priority of the μ -th to-be-forwarded environment packet of the relay node j,
the number of context data for the μ context data packet to be forwarded,
the number of context data i-Y of the context data packet to be forwarded for the v-th of the relay node jj(mu) denotes the sensor node that sends the mu-th environmental packet to be forwarded to relay node j,
for relay node j to sensor nodes i-Yj(μ) confidence level, i-Yj(v) Represents the sensor node that sends the v-th environmental packet to be forwarded to relay node j,
for relay node j to sensor nodes i-Yj(v) Confidence of, QjNumber of environment packets to be forwarded for relay node j, z1、z2Is a set weight coefficient and satisfies z1+z2＝1。
According to the embodiment, the calculation formula of the forwarding priority of the environment data packet is set innovatively, the relay nodes forward the environment data packet according to the sequence of the calculated priority, the environment data packet which is high in confidence and large in cache is preferentially forwarded, the cache management efficiency is improved, the congestion rate of the relay nodes is reduced, the environment data transmission speed is improved, and therefore the operation efficiency of the wind power cabin fire-fighting intelligent automatic measurement and control system is improved on the whole.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the protection scope of the present invention, although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions can be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. The intelligent automatic fire-fighting measurement and control system for the wind power engine room is characterized by comprising a wireless sensor network monitoring subsystem, a control center, an equipment control module, an emergency execution module and a fire-fighting module; the system comprises a wireless sensor network monitoring subsystem, a control center and a control center, wherein the wireless sensor network monitoring subsystem is used for acquiring environmental data including temperature, smoke concentration and oxygen concentration in a wind turbine cabin and comprises a base station and a plurality of sensor nodes deployed in a fire control measurement and control area, each sensor node is responsible for acquiring the environmental data of a measured point, the base station is responsible for bidirectional information interaction between the sensor nodes and the control center, and when the sensor nodes and the base station are in single-hop distance, the sensor nodes directly transmit the acquired environmental data to the base station; when the sensor node and the base station are in a multi-hop distance, the sensor node sends the acquired environmental data to the base station in a multi-hop forwarding mode; the control center is used for controlling the equipment control module, the emergency execution module and the fire-fighting module to work according to environmental data, wherein the equipment control module, the fire-fighting module and the emergency execution module are all in wireless connection with the control center, the equipment control module is used for controlling the power supply and the start and stop of the wind turbine generator, the fire-fighting module is used for driving carbon dioxide gas to extinguish fire according to instructions of the control center, and the emergency execution module is used for receiving instructions of the control center, cutting off the connection between the wind turbine generator and a power grid and recording the field condition; the sensor node sends the acquired environmental data to the base station in a multi-hop forwarding mode, and the method specifically comprises the following steps:
(1) when a network is initialized, a base station broadcasts a neighbor node list construction message to all sensor nodes, and after receiving the neighbor node list construction message, the sensor nodes acquire neighbor node information through information interaction and construct a neighbor node list; initially, the sensor node randomly selects one neighbor node from a plurality of neighbor nodes as a relay node according to a neighbor node list, and transmits the acquired environmental data to the relay node, so that the acquired environmental data is transmitted to the base station in a mode of forwarding the environmental data by the plurality of relay nodes;
(2) after a time period T, the sensor node acquires feedback information of the number of environment data packets forwarded by the neighbor node and the total number of environment data packets forwarded by the neighbor node in the time period T through information interaction with the neighbor node, and during the next time period T, the sensor node calculates the trust of the sensor node on each neighbor node every other time interval delta T according to the feedback information;
(3) the sensor node divides the trust level of each neighbor node according to the current trust level, divides the neighbor nodes into three types of normal nodes, malicious nodes and selfish nodes, selects one of the normal nodes as a relay node, and sends an environment data packet to the relay node;
for a relay node with a plurality of environment data packets to be forwarded, forwarding the environment data packets according to the sequence of the priorities of the environment data packets from big to small, wherein the calculation formula of the priorities of the environment data packets is as follows:
in the formula (I), the compound is shown in the specification,
indicating the priority of the μ -th to-be-forwarded environment packet of the relay node j,
the number of context data for the μ context data packet to be forwarded,
the number of context data i-Y of the context data packet to be forwarded for the v-th of the relay node jj(mu) denotes the sensor node that sends the mu-th environmental packet to be forwarded to relay node j,
for relay node j to sensor nodes i-Yj(μ) confidence level, i-Yj(v) Represents the sensor node that sends the v-th environmental packet to be forwarded to relay node j,
for relay node j to sensor nodes i-Yj(v) Confidence of, QjNumber of environment packets to be forwarded for relay node j, z1、z2Is a set weight coefficient and satisfies z1+z2＝1。
2. The intelligent automatic fire-fighting measurement and control system for the wind power engine room as claimed in claim 1, wherein the control center comprises a central processing module, a storage module for storing environmental data, a driving module and a display module for receiving instructions of the central processing module, a signal processing module for sending information to the central processing module, and an input module.
3. The intelligent automatic fire-fighting measurement and control system for the wind power engine room as claimed in claim 2, wherein the fire-fighting module comprises a carbon dioxide gas high-pressure gas cylinder, a nitrogen driver cylinder, a gas delivery pipe and a driving pipeline, when the control center judges that a fire occurs according to environmental data, an opening signal is sent to an electromagnetic valve on the nitrogen driver cylinder, nitrogen in the gas cylinder is driven to open a flat valve of the carbon dioxide gas high-pressure gas cylinder through the driving pipeline, so that the carbon dioxide gas is rapidly and automatically sprayed out and is delivered into the engine room through the gas delivery pipe to extinguish the fire.
4. The intelligent automatic fire-fighting measurement and control system for the wind power engine room as claimed in claim 1, wherein the calculation formula for setting the confidence level is as follows:
in the formula, Pij(T + at) represents the sensor node i's confidence level in its jth neighbor node at time T + at,
qij(T) the number Q of forwarding environment data packets by the sensor node i in the time period T for the jth neighbor nodej(T) is the total number of the jth neighbor node forwarding the environmental data packet within the time period T, DijIs the distance between the sensor node i and its j-th neighbor node, DjoIs the distance from the jth neighbor node to the base station, DilIs the distance between the sensor node i and its l-th neighbor node, DloIs the distance from the l-th neighbor node to the base station, niNumber of neighbor nodes of sensor node i, e-wΔtFor the confidence decay factor, w ∈ (0, 0.1)]A and b are weight coefficients satisfying 0<a,b<1。
5. The intelligent automatic fire-fighting measurement and control system for wind turbine generator room as claimed in claim 1, wherein neighboring nodes are dividedThe specific mode is as follows: setting a first confidence threshold h1A second confidence threshold h2For any neighbor node j of the sensor node i, when Pij(T+Δt)∈(0,h1) When P is the malicious node, the neighboring node j is divided into the malicious nodesij(T+Δt)∈[h1,h2) When P is the private node, the neighbor node j is divided into private nodesij(T+Δt)∈[h2And 1), dividing the neighbor node j into normal nodes.
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