CN112135269A - Intelligent fire-fighting early warning system applied to production workshop - Google Patents
Intelligent fire-fighting early warning system applied to production workshop Download PDFInfo
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- CN112135269A CN112135269A CN202011127036.8A CN202011127036A CN112135269A CN 112135269 A CN112135269 A CN 112135269A CN 202011127036 A CN202011127036 A CN 202011127036A CN 112135269 A CN112135269 A CN 112135269A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/10—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/12—Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/20—Communication route or path selection, e.g. power-based or shortest path routing based on geographic position or location
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
- H04W40/22—Communication route or path selection, e.g. power-based or shortest path routing using selective relaying for reaching a BTS [Base Transceiver Station] or an access point
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/24—Connectivity information management, e.g. connectivity discovery or connectivity update
- H04W40/32—Connectivity information management, e.g. connectivity discovery or connectivity update for defining a routing cluster membership
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Abstract
The invention provides an intelligent fire-fighting early warning system applied to a production workshop, which comprises a data acquisition module, a data processing module and an early warning module; the data acquisition module comprises a wireless sensor node and a base station, the wireless sensor node is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station, and the base station is used for processing the fire-fighting data and transmitting the processed fire-fighting data to the data processing module; the data processing module is used for storing the processed fire-fighting data and judging whether a fire disaster occurs according to the processed fire-fighting data to obtain a judgment result; and the early warning module is used for sending early warning prompts to related personnel when the judgment result shows that a fire disaster occurs. The invention adopts a wireless sensor node mode to acquire the fire fighting data, and can effectively avoid the problem of inconvenient maintenance caused by adopting a wired mode to set the sensor in the prior art.
Description
Technical Field
The invention relates to the field of early warning, in particular to an intelligent fire-fighting early warning system applied to a production workshop.
Background
In the prior art, a sensor in the fire-fighting early warning system is generally set in a wired mode, the sensor transmits collected monitoring data to a monitoring center for processing, and due to the fact that cables are numerous, the sensor is not beneficial to subsequent maintenance.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an intelligent fire-fighting early warning system applied to a production workshop, which includes:
the system comprises a data acquisition module, a data processing module and an early warning module;
the data acquisition module comprises a wireless sensor node and a base station, the wireless sensor node is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station, and the base station is used for processing the fire-fighting data and transmitting the processed fire-fighting data to the data processing module;
the data processing module is used for storing the processed fire-fighting data and judging whether a fire disaster occurs according to the processed fire-fighting data to obtain a judgment result;
and the early warning module is used for sending early warning to related personnel when the judgment result shows that a fire disaster occurs.
Compared with the prior art, the invention has the advantages that:
the invention adopts a wireless sensor node mode to acquire the fire fighting data, and can effectively avoid the problem of inconvenient maintenance caused by adopting a wired mode to set the sensor in the prior art.
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 diagram of an exemplary embodiment of an intelligent fire-fighting early warning system applied to a production workshop according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
The invention provides an intelligent fire-fighting early warning system applied to a production workshop, which comprises a data acquisition module 1, a data processing module 2 and an early warning module 3;
the data acquisition module 1 comprises a wireless sensor node and a base station, the wireless sensor node is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station, and the base station is used for processing the fire-fighting data and transmitting the processed fire-fighting data to the data processing module 2;
the data processing module 2 is used for storing the processed fire-fighting data and judging whether a fire disaster occurs according to the processed fire-fighting data to obtain a judgment result;
and the early warning module 3 is used for sending an early warning prompt to related personnel when the judgment result shows that a fire disaster occurs.
In one embodiment, the fire protection data includes temperature and smoke concentration.
In one embodiment, the wireless sensor node comprises a monitoring unit and a communication unit;
the monitoring unit is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station through the communication unit;
the communication unit comprises a ZigBee communication device and a WiFi communication device.
In one embodiment, the data processing module 2 includes a storage unit and a judgment unit;
the storage unit is used for storing the fire-fighting data, the judging unit is used for comparing the fire-fighting data with the corresponding normal value-taking interval, judging whether the fire-fighting data exceeds the corresponding normal value-taking interval or not, if so, indicating that a fire disaster occurs, and if not, indicating that no fire disaster occurs.
In one embodiment, processing the fire protection data includes:
and compressing the fire-fighting data to obtain the processed fire-fighting data.
In one embodiment, the early warning module 3 includes a display unit and an early warning unit;
the display unit is used for displaying the place where the fire breaks out;
the early warning unit is used for sending early warning prompts to related personnel.
In one embodiment, the intelligent fire-fighting early warning system applied to the production workshop further comprises a data management module, and the data management module is used for managing fire-fighting data stored in the data processing module 2.
In one embodiment, the data management module comprises an identity authentication unit and an input unit;
the identity authentication unit is used for identifying the identity of a user using the data management module, judging whether the user has the authority of using the data management module, and if so, allowing the user to use the data management module;
the input unit is used for inputting an operation instruction through a user with identity authentication.
In one embodiment, the wireless sensor nodes form a wireless sensor network in a cluster form, in the wireless sensor network, the wireless sensor nodes are divided into member nodes and cluster head nodes, the member nodes are used for acquiring fire protection data and sending the fire protection data to the cluster head nodes of the cluster to which the member nodes belong, the cluster head nodes are used for transmitting the fire protection data to a base station,
in one embodiment, the base station is configured to divide the wireless sensor node into a member node and a cluster head node, and the dividing process is as follows:
the base station broadcasts a clustering command to all wireless sensor nodes;
a base station receives clustering parameters from all wireless sensor nodes;
and the base station divides the wireless sensor nodes into cluster head nodes and member nodes according to the clustering parameters.
In one embodiment, the clustering parameters include the number, location coordinates, and remaining energy of the wireless sensor nodes.
In one embodiment, the base station divides the wireless sensor nodes into cluster head nodes and member nodes according to the clustering parameters, and includes:
calculating a cluster head advantage value of each wireless sensor node:
wherein p (w) represents a cluster head dominance value of a wireless sensor node w, a1、a2、a3To a set proportionality coefficient, a1+a2+a31, er (w) denotes w current residual energy, E0(w) represents the initial energy of w, lma (w, na) represents the maximum distance between the neighbor node of w and the base station na, lmi (w, na) represents the minimum distance between the neighbor node of w and the base station na, l (w, na) represents the distance between w and the base station na, numofw represents the total number of neighbor nodes of w, avelw represents the average distance between the neighbor node of w and w;
sorting the cluster head advantage values of all wireless sensor nodes from high to low, and selecting the wireless sensor nodes corresponding to the top cluster head advantage values as temporary cluster head nodes;
starting from the temporary cluster head node farthest from the base station na, optimizing the distribution of the temporary cluster head nodes from far to near:
for the temporary cluster head node cw, judging the total number otnum of other temporary cluster head nodes in the communication range of the temporary cluster head node cw, and if the otnum is greater than a set first threshold thre1, calculating the neighborhood dominance value of other temporary cluster head nodes in the communication range of the temporary cluster head node cw:
nsb＝c1×d(b,cw)+c2×p(b)
in the formula, nsbA neighborhood dominance value representing the b-th other temporary cluster head node within the communication range of cw, p (b) a cluster head dominance value representing the b-th other temporary cluster head node within the communication range of cw, d (b, cw) a distance between the b-th other temporary cluster head node and cw within the communication range of cw, c1And c2Representing a weight parameter;
the total number of other temporary cluster head nodes in the communication range of cw is recorded as numcw,neiSorting the neighborhood dominance values of all temporary cluster head nodes in the communication range of the cw, and selecting the nodes at the top
The temporary cluster head nodes are used as final cluster head nodes, and cw is also used as final cluster head nodes;
if one temporary cluster head node is already selected as the final cluster head node, the distribution of the temporary cluster head nodes in the communication range is not optimized.
According to the embodiment of the invention, through the calculation of the cluster head dominant value, the wireless sensor nodes which have relatively more residual energy, are relatively close to the base station and have relatively more densely distributed neighbor nodes can be selected as temporary cluster head nodes. However, in a conventional clustering algorithm, for example, a leach protocol, cluster head nodes are generated by using random numbers, and the generated cluster head nodes are not uniformly distributed enough, so that a certain area is completely free of cluster head nodes, and energy is rapidly consumed by the cluster head nodes closest to the area due to excessive data forwarding amount, thereby reducing the coverage rate of a wireless sensor network. The application can solve the problem well. The temporary cluster head nodes selected are screened secondarily, so that the situation that the cluster head nodes are piled up is further avoided, and the cluster head nodes are distributed more uniformly.
In one embodiment, the cluster head node communicates with the base station by:
the cluster head node fcw calculates the average distance avedest between other cluster head nodes in the communication range of the cluster head node fcw and the base station, if the distance between the cluster head node fcw and the base station is smaller than avedest, the cluster head node fcw directly communicates with the base station, otherwise, the cluster head node fcw selects one cluster head node from other cluster head nodes in the communication range of the cluster head node fcw as a relay node according to a set rule, and the cluster head node fcw communicates with the base station through the relay of the relay node;
the set rule is as follows:
storing other cluster head nodes in the communication range of the cluster head node fcw into the set afcwU, selecting the cluster head node with the minimum transmission loss in the afcwU as a relay node,
the transmission loss is calculated by the following formula:
where sh (g) represents a transmission loss of the cluster head node g in afcwU, avee (afcwU) represents an average remaining energy of the cluster head node g in afcwU, e (g) represents a remaining energy of the cluster head node g, dist (fcw, g) represents a distance between fcw and g, avedest represents an average distance of other cluster head nodes within a communication range thereof from a base station, dist (g, na) represents a distance between the cluster head node g and the base station na, aved (fcw, afcwU) represents an average distance between fcw and the cluster head node in afcwU, and numofs (g) represents a total number of member nodes in the cluster head node g that process an operating state.
Because the distances between the cluster head nodes and the base station are different, in a sensor network with a large scale, not all cluster head nodes can directly communicate with the base station, and therefore the communication problem between the cluster head nodes which are far away from the base station and the base station is solved in a relay node mode. In the calculation of the transmission loss, the relations of the cluster head nodes and the cluster head nodes fcw in the afcwU in terms of the residual energy, the distance between the cluster head nodes and the base station, the total number of the member nodes in the processing working state and the like are considered, so that the cluster head nodes which have more residual energy, are close to the base station and have less number of the member nodes in the working state are used as the relay nodes of fcw. In order to prolong the service life, the member nodes do not always monitor data, but perform data collection for a period of time, then enter a sleep mode, and perform data collection after a period of time. Therefore, if a cluster head node has a large number of working state of its member nodes, then its own data to be forwarded is large, and if it is responsible for forwarding fcw data again, it will affect the timely transmission of the data of its member nodes.
In one embodiment, after selecting the cluster head node, the base station allocates the remaining wireless sensor nodes to the cluster to which the cluster head node belongs by:
judging the total number numofwsn of cluster head nodes in the communication range of the wireless sensor node wsn, if the numofwsn is more than or equal to 2, calculating a selection index between the wsn and each cluster head node in the communication range of the wsn by the base station, and adding the wsn to a cluster to which the cluster head node with the maximum selection index belongs to become a member node of the cluster;
if numofwsn is less than or equal to 1, the base station adds the wireless sensor node wsn to a cluster to which a cluster head node nearest to the wsn belongs, and becomes a member node of the cluster;
the selection index is calculated as follows:
where zidx (wsn, k) represents a selection index between wsn and a cluster head node k within its communication range, s (wsn) s (k) represents an overlapping area between wsn and k, s (k) represents an area of the communication range of k, dist (wsn, k) represents a euclidean distance between wsn and k, and h represents a euclidean distance between wsn and k1And h2Indicating the set weight parameter.
According to the embodiment of the invention, the clustering of the wireless sensor nodes wsn has self-adaptability, and the wireless sensor nodes are reasonably added into the clusters to which different cluster head nodes belong according to the difference of numofwsn values. Specifically, in calculation of the selection index, the selection index is larger when the distance from the wireless sensor node wsn is shorter and the overlapping area with the distance from the wireless sensor node wsn is larger, which is beneficial to reducing transmission energy consumption after the wsn becomes a cluster head node.
While embodiments of the invention have been shown and described, it will be understood by those skilled in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (7)
1. An intelligent fire-fighting early warning system applied to a production workshop is characterized by comprising a data acquisition module, a data processing module and an early warning module;
the data acquisition module comprises a wireless sensor node and a base station, the wireless sensor node is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station, and the base station is used for processing the fire-fighting data and transmitting the processed fire-fighting data to the data processing module;
the data processing module is used for storing the processed fire-fighting data and judging whether a fire disaster occurs according to the processed fire-fighting data to obtain a judgment result;
and the early warning module is used for sending early warning prompts to related personnel when the judgment result shows that a fire disaster occurs.
2. The intelligent fire-fighting early warning system applied to the production workshop according to claim 1, wherein the wireless sensor node comprises a monitoring unit and a communication unit;
the monitoring unit is used for acquiring fire-fighting data and transmitting the fire-fighting data to the base station through the communication unit;
the communication unit comprises a ZigBee communication device and a WiFi communication device.
3. The intelligent fire-fighting early warning system applied to the production workshop according to claim 1, wherein the data processing module comprises a storage unit and a judgment unit;
the storage unit is used for storing the fire-fighting data, the judging unit is used for comparing the fire-fighting data with the corresponding normal value-taking interval, judging whether the fire-fighting data exceeds the corresponding normal value-taking interval or not, if so, indicating that a fire disaster occurs, and if not, indicating that no fire disaster occurs.
4. The intelligent fire-fighting early warning system applied to the production workshop according to claim 1, wherein the fire-fighting data is processed by the following steps:
and compressing the fire-fighting data to obtain the processed fire-fighting data.
5. The intelligent fire-fighting early warning system applied to the production workshop according to claim 1, wherein the early warning module comprises a display unit and an early warning unit;
the display unit is used for displaying the place where the fire breaks out;
the early warning unit is used for sending early warning prompts to related personnel.
6. The intelligent fire-fighting early warning system applied to the production workshop as claimed in claim 1, further comprising a data management module, wherein the data management module is used for managing fire-fighting data stored in the data processing module.
7. The intelligent fire-fighting early warning system applied to the production workshop according to claim 6, wherein the data management module comprises an identity verification unit and an input unit;
the identity authentication unit is used for identifying the identity of a user using the data management module, judging whether the user has the authority of using the data management module, and if so, allowing the user to use the data management module;
the input unit is used for inputting an operation instruction through a user with identity authentication.
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