CN112530132B - Intelligent fire control management and control system based on cloud computing service - Google Patents
Intelligent fire control management and control system based on cloud computing service Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B19/00—Alarms responsive to two or more different undesired or abnormal conditions, e.g. burglary and fire, abnormal temperature and abnormal rate of flow
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/06—Electric actuation of the alarm, e.g. using a thermally-operated switch
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B17/00—Fire alarms; Alarms responsive to explosion
- G08B17/10—Actuation by presence of smoke or gases, e.g. automatic alarm devices for analysing flowing fluid materials by the use of optical means
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/20—Status alarms responsive to moisture
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- H04W4/06—Selective distribution of broadcast services, e.g. multimedia broadcast multicast service [MBMS]; Services to user groups; One-way selective calling services
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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
- H04W40/22—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
Abstract
The invention provides an intelligent fire control management and control system based on cloud computing service, which comprises a cloud service platform and monitoring nodes, wherein the monitoring nodes comprise intelligent fire hydrant nodes and fire detection nodes; the intelligent fire hydrant node is arranged on intelligent fire hydrant equipment and is used for acquiring equipment state monitoring data of the intelligent fire hydrant equipment in real time and uploading the equipment state monitoring data to the cloud service platform; the fire detection nodes are distributed in a target area and are used for monitoring fire monitoring data of the scene where the fire detection nodes are located in real time and uploading the acquired fire monitoring data to the cloud service platform; the cloud service platform is used for analyzing the received equipment state monitoring data and fire monitoring data, and sending out alarm information when the data are analyzed to be abnormal. The invention utilizes the strong storage and calculation capability of the cloud service platform to uniformly analyze and manage the fire-fighting equipment state monitoring data and fire detection data in the building, thereby being beneficial to improving the intelligent level of fire control management and control of the building.
Description
Technical Field
The invention relates to the technical field of cloud computing, in particular to an intelligent fire control management and control system based on cloud computing service.
Background
At present, for large indoor sites such as buildings, indoor hydrant devices and fire detection devices are usually installed in designated places for fire detection and fire extinguishing when a fire occurs.
In the prior art, equipment detection aiming at fire hydrant equipment requires operation and maintenance personnel to periodically detect and record equipment conditions of each fire hydrant equipment; the existing fire detection equipment only has a local detection function, namely, alarm information is sent out when the occurrence of fire is detected. However, in the above technology, the manager cannot uniformly manage the entire fire hydrant equipment, fire detection data and the like in the building, and does not meet the requirements of intelligent fire control.
Disclosure of Invention
Aiming at the technical problems that the manager cannot uniformly manage the whole fire hydrant equipment, fire detection data and the like in a building and does not meet the requirements of intelligent fire control management and control, the invention aims to provide an intelligent fire control management and control system based on cloud computing service.
The aim of the invention is realized by adopting the following technical scheme:
the invention discloses an intelligent fire control management and control system based on cloud computing service, which comprises a cloud service platform and monitoring nodes, wherein the monitoring nodes comprise intelligent fire hydrant nodes and fire detection nodes;
the intelligent fire hydrant node is arranged on intelligent fire hydrant equipment and comprises a node monitoring module, wherein the node monitoring module is used for acquiring equipment state monitoring data of the intelligent fire hydrant equipment in real time and uploading the equipment state monitoring data to the cloud service platform;
the fire detection nodes are distributed in the target area, and are used for monitoring fire monitoring data of the scene where the fire detection nodes are located in real time and uploading the acquired fire monitoring data to the cloud service platform;
the cloud service platform is used for analyzing the received equipment state monitoring data and fire monitoring data, and sending out alarm information when the data are analyzed to be abnormal.
Further, the node monitoring module comprises a water pressure sensor and a water leakage sensor;
the water pressure sensor is used for monitoring water pressure information of the intelligent fire hydrant equipment;
the water leakage sensor is used for monitoring whether intelligent fire hydrant equipment leaks.
Further, the intelligent hydrant node also comprises a communication module;
the communication module establishes wireless communication connection with the cloud service platform, so that data interaction between the communication module and the cloud service platform is realized;
and the node monitoring module uploads the equipment state monitoring data acquired in real time to the cloud service platform through the communication module.
Further, the fire detection node includes a fire sensor group;
the fire sensor group is used for acquiring fire monitoring data of the site.
The fire sensor group comprises a smoke sensor, a temperature sensor, an air humidity sensor and the like.
Further, the fire detection node comprises a transmission module;
and the transmission module and the cloud service platform are in wireless communication connection, so that data interaction between the transmission module and the cloud service platform is realized.
Further, the cloud service platform comprises a node analysis module, a fire analysis module and a data management module;
the node analysis module is used for analyzing whether the state of the intelligent fire hydrant equipment is normal or not according to the acquired equipment state monitoring data, and when the intelligent fire hydrant equipment is abnormal, the node analysis module sends abnormal state information to a corresponding operation and maintenance management department;
the fire analysis module is used for analyzing whether a fire disaster abnormality occurs on the scene according to the received fire monitoring data, and when the scene is analyzed to have the fire disaster abnormality, the fire analysis module sends fire alarm information to a corresponding management department;
and the data management module is used for classifying, storing and managing the acquired equipment state monitoring data and fire monitoring data.
Further, the cloud service platform further comprises:
when the fire analysis module analyzes that the fire is abnormal, an alarm control instruction is sent to the intelligent fire hydrant node corresponding to the fire abnormal site, and the intelligent fire hydrant node sends alarm information according to the received alarm control instruction.
The beneficial effects of the invention are as follows: the intelligent fire hydrant node is arranged on intelligent fire hydrant equipment to monitor the equipment state of the intelligent fire hydrant equipment, and the acquired equipment state monitoring data are uploaded to a cloud service platform; meanwhile, the fire monitoring data detected by the fire detection nodes are also uploaded to the cloud service platform, the cloud service platform analyzes and uniformly manages the acquired data, and corresponding alarm information is sent out when abnormality is detected; and the cloud service platform has strong storage and calculation capabilities, so that unified analysis and management of fire-fighting equipment state monitoring data and fire detection data in the building are realized, and the intelligent level of fire control management and control of the building is improved.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
Fig. 1 is a frame structure diagram of an embodiment of an intelligent fire control management and control system based on cloud computing service.
Detailed Description
The invention is further described in connection with the following application scenario.
Referring to an intelligent fire control management and control system based on cloud computing service shown in the embodiment of fig. 1, the system comprises a cloud service platform and monitoring nodes, wherein the monitoring nodes comprise intelligent fire hydrant nodes and fire detection nodes;
the intelligent fire hydrant node is arranged on intelligent fire hydrant equipment and comprises a node monitoring module, wherein the node monitoring module is used for acquiring equipment state monitoring data of the intelligent fire hydrant equipment in real time and uploading the equipment state monitoring data to the cloud service platform;
the fire detection nodes are distributed in a target area and are used for monitoring fire monitoring data of the scene where the fire detection nodes are located in real time and uploading the acquired fire monitoring data to the cloud service platform;
the cloud service platform is used for analyzing the received equipment state monitoring data and fire monitoring data, and sending out alarm information when the data are analyzed to be abnormal.
In the above embodiment, an intelligent fire hydrant node is set on the intelligent fire hydrant device to monitor the device state of the intelligent fire hydrant device, and the obtained device state monitoring data is uploaded to the cloud service platform; meanwhile, the fire monitoring data detected by the fire detection nodes are also uploaded to the cloud service platform, the cloud service platform analyzes and uniformly manages the acquired data, and corresponding alarm information is sent out when abnormality is detected; and the cloud service platform has strong storage and calculation capabilities, so that unified analysis and management of fire-fighting equipment state monitoring data and fire detection data in the building are realized, and the intelligent level of fire control management and control of the building is improved.
Further, the node monitoring module comprises a water pressure sensor and a water leakage sensor;
the water pressure sensor is used for monitoring water pressure information of the intelligent hydrant equipment;
the water leakage sensor is used for monitoring whether intelligent fire hydrant equipment leaks.
Further, the intelligent hydrant node also comprises a communication module;
the communication module establishes wireless communication connection with the cloud service platform and is used for carrying out data interaction with the cloud service platform;
and the node monitoring module uploads the equipment state monitoring data acquired in real time to the cloud service platform through the communication module.
The method comprises the steps that a water pressure sensor and a water leakage sensor are arranged on fire hydrant equipment to monitor the states of the fire hydrant equipment, the collected water pressure information and water leakage information of the fire hydrant equipment are uploaded to a cloud service platform, the cloud service platform analyzes the states of the fire hydrant equipment according to acquired data, and when the analysis shows that the equipment is abnormal, alarm information can be timely sent to a management terminal, so that a manager can arrange operation and maintenance personnel to the abnormal equipment according to the alarm information to operate and maintain; the labor cost can be effectively reduced, and the intelligent level of equipment state monitoring is improved.
Further, the fire detection node includes a fire sensor group;
the fire sensor group is used for acquiring fire monitoring data of the site.
The fire sensor group comprises a smoke sensor, a temperature sensor, an air humidity sensor and the like.
Further, the fire detection node comprises a transmission module;
the transmission module establishes wireless communication connection with the cloud service platform and is used for carrying out data interaction with the cloud service platform.
And setting fire detection nodes at proper positions in a building of the building, acquiring smoke data, temperature data, air humidity data and the like of the area through a fire sensor group, uploading the smoke data, the temperature data, the air humidity data and the like to a cloud service platform, carrying out fire anomaly analysis by the cloud service platform according to the acquired data, judging that a fire disaster occurs when the data exceeds a set threshold index, and sending fire disaster alarm information to a management terminal by the cloud service platform for the management terminal to further control an alarm device in the building of the building to operate and send out fire disaster alarm.
Further, the cloud service platform comprises a node analysis module, a fire analysis module and a data management module;
the node analysis module is used for analyzing whether the state of the intelligent fire hydrant equipment is normal or not according to the acquired equipment state monitoring data, and sending abnormal state information to a corresponding operation and maintenance management department when the intelligent fire hydrant equipment is abnormal;
the fire analysis module is used for analyzing whether the scene is abnormal or not according to the received fire monitoring data, and sending fire alarm information to the corresponding management department when the scene is abnormal;
and the data management module is used for classifying, storing and managing the acquired equipment state monitoring data and fire monitoring data.
The manager can obtain the data obtained by each monitoring node in the building through logging in the cloud service platform, and retrieve, check, classify and manage the obtained data, and establish a fire control log, so that the manager can uniformly manage the fire control data of the building, and the intelligent level of data management is improved.
Further, the cloud service platform further comprises:
when the fire analysis module analyzes that the fire is abnormal, an alarm control instruction is sent to the intelligent fire hydrant node corresponding to the fire abnormal site, and the intelligent fire hydrant node sends an alarm prompt according to the received alarm control instruction.
The intelligent fire hydrant node is also provided with alarm information, when a fire disaster occurs, the intelligent fire hydrant node sends out special alarm sound, on one hand, the fire disaster is warned, on the other hand, the position of the fire hydrant equipment is informed through the special alarm information, and on-site personnel or fire fighters can find out the fire hydrant equipment according to the special alarm sound information for the first time to perform preliminary fire extinguishment. It is stated that fire extinguishment by field personnel using hydrant equipment by themselves is only used when the fire can be controlled in time, and when the fire has spread or cannot be controlled, the field personnel should withdraw from the fire scene preferentially.
Further, the monitoring nodes including the intelligent fire hydrant node and the fire detection node transmit the acquired monitoring data to the relay node in a single-hop or inter-node multi-hop data transmission mode, and the relay node uniformly uploads the acquired monitoring data to the cloud service platform through the communication base station.
The communication base station can be arranged in a building and used for realizing communication connection between nodes, equipment, terminals and the like in the building and the cloud service platform.
Further, the monitoring nodes comprising the intelligent fire hydrant node and the fire detection node also comprise an operation state monitoring module;
the running state monitoring module is used for acquiring running state data of the monitoring nodes and uploading the acquired running state data to the cloud service platform.
The operation state data comprises positioning information of the monitoring nodes and residual energy information.
Further, the cloud service platform also comprises a transmission management module;
the transmission management module is used for assigning corresponding relay nodes according to the acquired monitoring node running state data.
According to the technical scheme, the monitoring node uploads the acquired data to the cloud service platform based on the data transmission mode of the Internet of things, the monitoring node comprising the intelligent fire hydrant node and the fire detection node transmits the acquired data to the relay node in a single-hop or multi-strip mode, the relay node uniformly transmits the acquired data to the cloud service platform through the communication base station, the integral energy consumption of data transmission between each monitoring node and the cloud service platform in a building can be effectively reduced, the situation that wireless network signals possibly existing in the cloud service platform due to the fact that the monitoring node directly uploads the data to the cloud service platform under the existence of an indoor environment are poor is avoided, and the overall service life and transmission performance of the monitoring node are improved.
Further, the transmission management module is configured to assign a corresponding relay node according to the acquired operation state data, and specifically includes:
the transmission management module respectively sends a first control instruction to each monitoring node, and each monitoring node receives the first control instruction, broadcasts HELLO data packets to other monitoring nodes within the set optimal transmission radius range and receives HELLO data packets broadcast by the neighborhood monitoring nodes, wherein the HELLO data packets comprise node ID information of a source node and sending out timestamp information; the monitoring node generates a neighborhood node list according to the HELLO data packets broadcast by the received neighborhood nodes, wherein the neighborhood node list comprises neighborhood node ID information corresponding to each HELLO data packet and receiving timestamp information of the received HELLO data packet; the monitoring node sends the neighborhood node list and the running state data of the monitoring node to a cloud service platform;
the transmission management module further analyzes and processes the neighbor node list and the running state data uploaded by each monitoring node, and specifically comprises the following steps:
1) And respectively calculating the relay capability grade of each monitoring node, wherein the adopted relay capability grade calculation function is as follows:
wherein Y (i) represents the relay capability level of the ith monitoring node, n i Representing the number of neighborhood nodes in a neighborhood node list fed back by the ith monitoring node, N represents a set neighborhood node number threshold, f (N) i N, δ) represents a judgment function, where when N i When > N, f (N i N, δ) =1, otherwise f (N) i N, δ) =δ, wherein δ∈ [0.4,0.6 ]]，d i Represents the spatial distance between the ith monitoring node and the communication base station, and beta represents a set distance threshold adjustment factor corresponding to the monitoring factor which maximizes the spatial distance from the communication base station in each monitoring node
d max Representing the maximum value of the space distance from the communication base station in each monitoring node; e (E) i Represents the current energy of the ith monitoring node, ΔE represents the energy consumed by the ith monitoring node to directly transmit unit data to the communication base station, n i (v m ＜V 1 ) Representing the time v between the HELLO packet reception timestamp and the HELLO packet transmission timestamp in the neighbor node list of the ith monitoring node m Less than a set first time threshold V 1 N, n i (v m ＞V 2 ) Representing the time difference v between the HELLO packet reception time stamp and the HELLO packet transmission time stamp in the neighbor node list of the ith monitoring node m Greater than a set first time threshold V 2 Number of neighborhood nodes, S i Representing a data transmission rate rating of an ith monitoring node, wherein S i Is larger than (1)Small correlation with the speed at which the ith monitoring node broadcasts unit data to its neighborhood nodes, wherein the faster the speed, S i The greater the value of S i ∈[0.1]；
2) And respectively assigning the upper level nodes for carrying out next-hop data transmission to each monitoring node according to the sequence of the relay capability level from low to high:
aiming at a target monitoring node needing to be assigned by a previous level node, assigning the neighborhood node with the relay capability level larger than that of the target monitoring node in a neighborhood node list as the previous level node of the target monitoring node, so that the target monitoring node transmits the monitoring data acquired by the target monitoring node to the previous level node, and the previous level node performs further data transmission;
when the target monitoring node is the node of the upper level of other nodes and the relay capacity level of the neighborhood node which does not exist in the neighborhood node list of the target monitoring is larger than that of the target monitoring node, the target monitoring node is assigned to be a relay node, the relay node directly sends the received monitoring data and the monitoring data acquired by the relay node to a communication base station, and the communication base station uploads the monitoring data to a cloud service platform;
when the target detection node is not the upper node of other nodes and the relay capacity level of the neighbor node which does not exist in the neighbor node list monitored by the target is larger than that of the target monitoring node, the target monitoring node assigns the neighbor node with the highest relay capacity level in the neighbor node list as the upper node of the target monitoring node;
the transmission management module transmits the assignment relation of each monitoring node to the corresponding monitoring node, the monitoring node transmits the acquired monitoring data to the corresponding upper node according to the assignment relation, the upper node further transmits the received monitoring data and the monitoring data acquired by the monitoring node to the upper node until the monitoring data are transmitted to the corresponding relay node, the relay node gathers the monitoring data transmitted by the lower node, the received monitoring data and the monitoring data acquired by the monitoring node are transmitted to the communication base station, and the communication base station uploads the monitoring data to the cloud service platform.
Wherein the above-mentioned monitoring data includes the said equipment state monitoring data and fire monitoring data.
In the foregoing embodiment, a technical solution is provided for assigning a data transmission path and a relay node to each monitoring node, where, based on a cloud service platform, a control instruction is sent to each monitoring node through a transmission management module to activate the monitoring node to enter a transmission relation setting of a new period, after receiving the control instruction, the monitoring node broadcasts its own information to its neighboring nodes within its optimal communication range, receives information broadcast by other neighboring nodes, generates a neighboring node list according to the received neighboring node information, reflects the communication condition of the monitoring node on site, and sends the information to the cloud service platform as a basis for assigning the relay node;
the transmission management module calculates the relay capability level of each monitoring node according to the neighborhood node list uploaded by each monitoring node so as to reflect the capability condition of each monitoring node as a relay node, and provides an improved relay capability level calculation function, wherein the function is used for comprehensively reflecting the capability condition of the monitoring node from two large dimensions and truly reflecting the capability of the monitoring node as a relay node by combining the operation state condition (including residual energy, spatial position and the like) of the monitoring node with the affinity and sparsity condition (including the quantity capable of establishing communication with the neighborhood node, data interaction speed and the like) of the monitoring node and the neighborhood node.
According to the calculated relay capacity level of each monitoring node, the transmission paths of each monitoring node are further respectively assigned from a low level to a high level, wherein a technical scheme for setting the transmission paths according to the relay capacity level is also provided, in the scheme, global data transmission and energy consumption stability of the monitoring nodes are considered at the same time, the field condition of each monitoring node is effectively considered, and the global data transmission energy consumption is reduced as a whole.
The transmission management module transmits the assignment information to each monitoring node according to the upper and lower node relation of each monitoring node, the monitoring node establishes a communication connection relation with the corresponding neighborhood node according to the assignment information, meanwhile, the relay node serves as the uppermost node, and after the data of the lower node are collected, the data are sent to the communication base station together with the data acquired by the relay node, and the communication base station transmits the data to the cloud service platform.
Further, the transmission management module sends the assignment relation of each monitoring node to the corresponding monitoring node, wherein the assignment relation comprises whether relay node information, the previous level node ID information of the target monitoring node and the next level node ID information of the target monitoring node;
and the target monitoring node establishes a communication connection relation with a corresponding upper level node or lower level node after receiving the assignment relation.
Further, when the ith monitoring node broadcasts the data transmission speed s of the unit data to the neighborhood nodes thereof i S greater than a set threshold w ，S i =1, otherwise
Further, in the data transmission process, when the monitoring node cannot receive the data transmitted by the node corresponding to the next stage in the process of exceeding a set threshold time, abnormal information is generated and sent to the cloud service platform;
wherein the set threshold time is obtained by the following function:
wherein T is i Representing the threshold time, T, of the ith monitoring node y A threshold time reference value that indicates the setting; m is m 1 Representing the total number of nodes subordinate to the i-th monitoring node, μ represents a sensitivity adjustment factor.
When the monitoring node exceeds the set threshold time and cannot receive the data transmitted by the next-stage node, generating abnormal information corresponding to the next-stage node, and transmitting the abnormal information to the previous-stage node along with the received data and the acquired data.
In the above embodiment, the waiting threshold time is adaptively set for different monitoring nodes, where the threshold time can be set according to the global importance level of the monitoring node, and the node at the lower level is sensitive to abnormal monitoring, so that the abnormal condition of the node at the lower level can be reflected in real time, and the node at the upper level has more tolerance to abnormal detection, so as to ensure the stability of monitoring the abnormal node of the transmission network.
In one scenario, to avoid a chained exception error, the exception information may also be directly sent to the cloud service platform by the monitoring node when an exception occurs in the previous level node.
It should be noted that, in each embodiment of the present invention, each functional unit/module may be integrated in one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated in one unit/module. The integrated units/modules described above may be implemented either in hardware or in software functional units/modules.
From the description of the embodiments above, it will be apparent to those skilled in the art that the embodiments described herein may be implemented in hardware, software, firmware, middleware, code, or any suitable combination thereof. For a hardware implementation, the processor may be implemented in one or more of the following units: an Application Specific Integrated Circuit (ASIC), a Digital Signal Processor (DSP), a Digital Signal Processing Device (DSPD), a Programmable Logic Device (PLD), a Field Programmable Gate Array (FPGA), a processor, a controller, a microcontroller, a microprocessor, other electronic units designed to perform the functions described herein, or a combination thereof. For a software implementation, some or all of the flow of an embodiment may be accomplished by a computer program to instruct the associated hardware. When implemented, the above-described programs may be stored in or transmitted as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. The computer readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
Finally, it should be noted that the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the scope of the present invention, and although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention.
Claims (5)
1. The intelligent fire control management and control system based on the cloud computing service is characterized by comprising a cloud service platform and monitoring nodes, wherein the monitoring nodes comprise intelligent fire hydrant nodes and fire detection nodes;
the intelligent fire hydrant node is arranged on intelligent fire hydrant equipment and comprises a node monitoring module, wherein the node monitoring module is used for acquiring equipment state monitoring data of the intelligent fire hydrant equipment in real time and uploading the equipment state monitoring data to the cloud service platform;
the fire detection nodes are distributed in the target area, and are used for monitoring fire monitoring data of the scene where the fire detection nodes are located in real time and uploading the acquired fire monitoring data to the cloud service platform;
the cloud service platform is used for analyzing the received equipment state monitoring data and fire monitoring data, and sending alarm information when the data are analyzed to be abnormal;
the cloud service platform comprises a node analysis module, a fire analysis module and a data management module;
the node analysis module is used for analyzing whether the state of the intelligent fire hydrant equipment is normal according to the acquired equipment state monitoring data, and when the intelligent fire hydrant equipment is analyzed to be abnormal, the node analysis module sends abnormal state information to a corresponding operation and maintenance management department;
the fire analysis module is used for analyzing whether a fire disaster abnormality occurs on the scene according to the received fire monitoring data, and when the scene is analyzed to have the fire disaster abnormality, the fire analysis module sends fire disaster alarm information to a corresponding management department;
the data management module is used for classifying, storing and managing the acquired equipment state monitoring data and fire monitoring data;
the cloud service platform further comprises:
when the fire analysis module analyzes that fire abnormality exists, an alarm control instruction is sent to the intelligent fire hydrant node corresponding to the fire abnormality site, and the intelligent fire hydrant node sends an alarm prompt according to the received alarm control instruction;
the monitoring nodes transmit the acquired monitoring data to the relay nodes in a single-hop or inter-node multi-hop data transmission mode, and the relay nodes uniformly upload the acquired monitoring data to the cloud service platform through the communication base station; wherein the monitoring data comprises the equipment status monitoring data and the fire monitoring data;
the monitoring node further comprises an operation state monitoring module;
the running state monitoring module is used for acquiring the monitored running state data and uploading the acquired running state data to the cloud service platform;
the cloud service platform further comprises a transmission management module;
the transmission management module is used for assigning corresponding relay nodes according to the acquired running state data, and specifically comprises the following steps:
the transmission management module respectively sends a first control instruction to each monitoring node, and each monitoring node receives the first control instruction, broadcasts HELLO data packets to other monitoring nodes within the set optimal transmission radius range and receives HELLO data packets broadcast by the neighborhood monitoring nodes, wherein the HELLO data packets comprise node ID information of a source node and sending out timestamp information; the monitoring node generates a neighborhood node list according to the HELLO data packets broadcast by the received neighborhood nodes, wherein the neighborhood node list comprises neighborhood node ID information corresponding to each HELLO data packet and receiving timestamp information of the received HELLO data packet; the monitoring node sends the neighborhood node list and the running state data of the monitoring node to a cloud service platform;
the transmission management module further analyzes and processes the neighbor node list and the running state data uploaded by each monitoring node, and specifically comprises the following steps:
1) And respectively calculating the relay capability grade of each monitoring node, wherein the adopted relay capability grade calculation function is as follows:
wherein Y (i) represents the relay capability level of the ith monitoring node, n i Representing the number of neighborhood nodes in a neighborhood node list fed back by the ith monitoring node, N represents a set neighborhood node number threshold, f (N) i N, δ) represents a judgment function, where when N i >When f (n) i N, δ) =1, otherwise f (N) i N, δ) =δ, wherein δ∈ [0.4,0.6 ]]，d i Represents the spatial distance between the ith monitoring node and the communication base station, and beta represents a set distance threshold adjustment factor corresponding to the monitoring factor for maximizing the spatial distance from the communication base station in each monitoring node -β ·max＝0.5，d max Representing the maximum value of the space distance from the communication base station in each monitoring node; e (E) i Represents the current energy of the ith monitoring node, ΔE represents the energy consumed by the ith monitoring node to directly transmit unit data to the communication base station, n i (v m <V 1 ) Representing the time v between the HELLO packet reception timestamp and the HELLO packet transmission timestamp in the neighbor node list of the ith monitoring node m Less than a set first time threshold V 1 N, n i (v m >V 2 ) Representing the time difference v between the HELLO packet reception time stamp and the HELLO packet transmission time stamp in the neighbor node list of the ith monitoring node m Greater than a set first time threshold V 2 Number of neighborhood nodes, S i Representing a data transmission rate rating of an ith monitoring node, wherein S i Is related to the speed at which the ith monitoring node broadcasts unit data to its neighborhood nodes, wherein the faster the speed, S i The greater the value of S i ∈[0.1]；
2) And respectively assigning the upper level nodes for carrying out next-hop data transmission to each monitoring node according to the sequence of the relay capability level from low to high:
aiming at a target monitoring node needing to be assigned by a previous level node, assigning the neighborhood node with the relay capability level larger than that of the target monitoring node in a neighborhood node list as the previous level node of the target monitoring node, so that the target monitoring node transmits the monitoring data acquired by the target monitoring node to the previous level node, and the previous level node performs further data transmission;
when the target monitoring node is the node of the upper level of other nodes and the relay capacity level of the neighborhood node which does not exist in the neighborhood node list of the target monitoring is larger than that of the target monitoring node, the target monitoring node is assigned to be a relay node, the relay node directly sends the received monitoring data and the monitoring data acquired by the relay node to a communication base station, and the communication base station uploads the monitoring data to a cloud service platform;
when the target detection node is not the upper node of other nodes and the relay capacity level of the neighbor node which does not exist in the neighbor node list monitored by the target is larger than that of the target monitoring node, the target monitoring node assigns the neighbor node with the highest relay capacity level in the neighbor node list as the upper node of the target monitoring node;
the transmission management module transmits the assignment relation of each monitoring node to the corresponding monitoring node, the monitoring node transmits the acquired monitoring data to the corresponding upper node according to the assignment relation, the upper node further transmits the received monitoring data and the monitoring data acquired by the monitoring node to the upper node until the monitoring data are transmitted to the corresponding relay node, the relay node gathers the monitoring data transmitted by the lower node, the received monitoring data and the monitoring data acquired by the monitoring node are transmitted to the communication base station, and the communication base station uploads the monitoring data to the cloud service platform.
2. The intelligent fire control system based on cloud computing services of claim 1, wherein the node monitoring module comprises a water pressure sensor and a water leakage sensor;
the water pressure sensor is used for monitoring water pressure information of the intelligent fire hydrant equipment;
the water leakage sensor is used for monitoring whether intelligent fire hydrant equipment leaks.
3. The intelligent fire control system based on cloud computing services of claim 2, wherein said intelligent hydrant node further comprises a communication module;
the communication module establishes wireless communication connection with the cloud service platform to realize data interaction between the communication module and the cloud service platform;
and the node monitoring module uploads the equipment state monitoring data acquired in real time to a cloud service platform through the communication module.
4. The cloud computing service-based intelligent fire control management and control system of claim 1, wherein said fire detection node comprises a fire sensor group;
the fire sensor group is used for acquiring fire monitoring data of the site where the fire sensor group is located;
the fire sensor group comprises a smoke sensor, a temperature sensor and an air humidity sensor.
5. The intelligent fire control management and control system based on cloud computing services of claim 4, wherein said fire detection node comprises a transmission module;
and the transmission module establishes wireless communication connection with the cloud service platform, so that data interaction between the transmission module and the cloud service platform is realized.
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