CN111275948B - Electric fire fighting early warning system - Google Patents
Electric fire fighting early warning system Download PDFInfo
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Abstract
The invention discloses an electric fire fighting early warning system, which comprises: the device data management module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit acquires electrical data of a key monitoring area by deploying a plurality of sensors, the data transmission unit adopts GPRS and Socket technologies to transmit and receive the sensor data in real time, and completes the data receiving and storing by using the Socket in combination with the heartbeat monitoring technology on the basis of normally receiving the data. This electric fire early warning platform provides data acquisition, data transmission, big data analysis and data display module based on multisensor collection technology and big data analysis technique, compares with traditional electric fire alarm system, and the platform is more intelligent, and it is quicker to conflagration hidden danger event processing reaction, can in time discover the condition of a fire in the conflagration bud stage.
Description
Technical Field
The invention relates to the technical field of electric fire fighting, in particular to an electric fire fighting early warning system.
Background
With the rapid development of economy in China and the continuous improvement of living standard of people, the demand and the use amount of electric energy of people are increased day by day, and the probability of electrical fire is increased at the same time.
Traditional conflagration automatic alarm system limitation is big, hardly plays real-time fire control early warning effect, and sensor equipment is in the closed condition for a long time among the current violent moving alarm system, when the conflagration takes place, has the condition that can not normally work, and data transmission takes cable transmission as the main, and the circuit is easy ageing, needs periodic detection to maintain, increases the human cost, and the unable accurate location ignition point causes the rescue untimely, causes personnel and property's heavy loss.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides an electric fire fighting early warning system, which solves the problems that the data transmission of the existing automatic alarm system is mainly wired transmission, the line is easy to age, regular detection and maintenance are needed, and the manpower is increased.
In order to achieve the purpose, the invention is realized by the following technical scheme: an electrical fire-fighting early warning system comprising:
the device data management module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit acquires electrical data of a key monitoring area by deploying a plurality of sensors, the data transmission unit adopts GPRS and Socket technologies to transmit and receive sensor data in real time, and completes data receiving and storing by using a Socket in combination with a heartbeat monitoring technology on the basis of normally receiving the data;
the big data analysis module comprises a data storage unit and a data analysis unit, and the data analysis unit is used for preprocessing and analyzing defense elimination data in the database;
the monitoring and early warning module provides the functions of real-time monitoring, abnormal early warning, data visualization and information push;
and the user management module comprises a user login unit and a right management unit.
The electric fire fighting early warning platform provides a data acquisition module, a data transmission module, a big data analysis module and a data display module based on a multi-sensor acquisition technology and a big data analysis technology, a plurality of sensor devices are deployed at positions easy to catch fire, parameters such as current, temperature and voltage are monitored in real time, and monitoring data and device longitude and latitude data are remotely sent to a server by GPRS; monitoring the communication state of the server client by adopting Socket and heartbeat monitoring technology to finish the real-time transmission of data; the data are processed by means of a big data analysis platform, random forest algorithm modeling analysis is used, the data are visually displayed by combining the result of data analysis, compared with a traditional electric fire alarm system, the platform is more intelligent, the processing and reaction to fire hazard events are quicker, and the fire condition can be timely found in the fire germination stage.
Furthermore, the acquisition device in the data acquisition unit comprises a main controller, a buzzer, a temperature sensor, a residual current transformer, a current sensor, a voltage sensor, a shunt release and a GPS.
The method can acquire relevant data such as line current, voltage, temperature, equipment longitude and latitude and the like in real time.
Furthermore, the physical architecture of the big data analysis module consists of a cluster server, an ETL server, a data warehouse and a Web server, is based on a distributed architecture, and is assisted by a Redis cache mechanism.
The Redis cache mechanism can improve the concurrent processing speed, generally, if the same cache information is stored on different servers in a distributed cluster, resource waste is caused, the reading efficiency is low, and a Redis cache database is used, common cache information can be placed on one server, a database layer directly interacts with the cache, if data in the cache is directly returned to a client, and if the data in the cache is not returned to a MySql, the query can be carried out from the MySql, so that the pressure of the database is reduced, and the efficiency is improved.
Further, the big data analysis module platform software architecture is realized based on Hadoop and Spark.
Spark has strong capability of processing real-time streaming data, can improve the capability of processing large-scale data, can calculate big data stored on Hadoop, and meets the requirement of real-time data analysis of the platform.
Further, the data analysis unit analyzes the collected data by adopting a random forest, a decision tree, a support vector and a neural network algorithm, and obtains an optimal prediction model through comparison.
Further, the user management module divides login users into three roles of system administrator, equipment administrator and common user.
Further, the main controller sets thresholds of various data, and when the acquired data is higher than a default threshold set in the main controller or is abnormal, the buzzer can give an early warning sound.
The people nearby can be reminded conveniently.
Furthermore, the GPRS technology in the data transmission unit is based on a TCP network communication protocol, and the transmission distance is not limited;
the air pump is communicated with the top of the flow divider through an air conveying pipe, and the flow divider comprises a first flow dividing plate, a second flow dividing plate, a third flow dividing plate and a fourth flow dividing plate;
the first flow dividing plate, the second flow dividing plate, the third flow dividing plate and the fourth flow dividing plate are bonded in a sealing mode, a through hole is formed in the center of the first flow dividing plate, the center of the top of the first flow dividing plate is communicated with a connecting pipe head, four strip-shaped flow guiding grooves are symmetrically formed in the top of the second flow dividing plate, one ends of the four flow guiding grooves are communicated with a rectangular groove, a rectangular pyramid is arranged inside the rectangular groove, and the other end of each strip-shaped flow guiding groove is communicated with the through hole;
four groups of groove structures which are the same as those on the second splitter plate are arranged at the top of the three splitter plates, and when the second splitter plate is superposed with the third splitter plate, four rectangular grooves on the third splitter plate respectively correspond to four through holes on the second splitter plate in position;
when the fourth flow distributing plate and the third flow distributing plate are superposed, a rectangular groove is formed in the position, corresponding to the through hole in the third flow distributing plate, of the fourth flow distributing plate, each rectangular groove corresponds to four flow guiding grooves, and one end of each flow guiding groove is communicated with the through hole;
the bottom of the first splitter plate is provided with a flow guide groove corresponding to the top of the second splitter plate, and similarly, the bottom of the second splitter plate is provided with a flow guide groove corresponding to the top of the third splitter plate, and the bottom of the third splitter plate is provided with a flow guide groove corresponding to the top of the fourth splitter plate;
after the four splitter plates are bonded, the splitter plate positioned on the upper side is superposed with the diversion trench on the splitter plate positioned on the lower side to form a diversion channel.
Compared with the prior art, the invention has the beneficial effects that:
according to the electric fire fighting early warning system, an electric fire fighting early warning platform provides a data acquisition module, a data transmission module, a big data analysis module and a data display module based on a multi-sensor acquisition technology and a big data analysis technology, a plurality of sensor devices are deployed at positions easy to fire, parameters such as current, temperature and voltage are monitored in real time, and monitoring data and device longitude and latitude data are remotely sent to a server by GPRS; monitoring the communication state of the server client by adopting Socket and heartbeat monitoring technology to finish the real-time transmission of data; the data are processed by means of a big data analysis platform, random forest algorithm modeling analysis is used, the data are visually displayed by combining the result of data analysis, compared with a traditional electric fire alarm system, the platform is more intelligent, the processing and reaction to fire hazard events are quicker, and the fire condition can be timely found in the fire germination stage.
Drawings
FIG. 1 is a schematic structural diagram of a first embodiment of the present invention;
FIG. 2 is a GPRS workflow diagram of the present invention;
FIG. 3 is a big data software architecture diagram of the present invention;
FIG. 4 is a diagram of a Redis high concurrency handler of the present invention;
FIG. 5 is a diagram of a Spark frame according to the present invention;
FIG. 6 is a schematic structural diagram of a second embodiment of the present invention;
FIG. 7 is a schematic structural view of a first splitter plate according to the present invention;
FIG. 8 is a schematic structural view of a second splitter plate according to the present invention;
FIG. 9 is a schematic structural view of a third splitter plate according to the present invention;
FIG. 10 is a schematic view of a fourth baffle of the present invention;
FIG. 11 is a rear view of the fourth baffle of the present invention.
In the figure: 1-splitter plate, 11-first splitter plate, 12-second splitter plate, 13-third air splitter plate, 14-fourth splitter plate and 2-air pump.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
First embodiment
Referring to fig. 1-5, the present invention provides a technical solution: an electrical fire-fighting early warning system, comprising:
the device data management module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit acquires electrical data of a key monitoring area by deploying a plurality of sensors, the data transmission unit adopts GPRS and Socket technologies to transmit and receive sensor data in real time, and completes data receiving and storing by using a Socket in combination with a heartbeat monitoring technology on the basis of normally receiving the data;
the big data analysis module comprises a data storage unit and a data analysis unit, and the data analysis unit is used for preprocessing and analyzing defense elimination data in the database;
the monitoring and early warning module provides the functions of real-time monitoring, abnormal early warning, data visualization and information push;
and the user management module comprises a user login unit and a right management unit.
The cluster server is the core of the whole big data analysis module, has the capability of calculation and storage, the platform is based on a distributed architecture, all requests for the platform are processed by the cluster server, the ETL server is used for completing the work of reading, cleaning, converting and the like of data, the data warehouse server maps the structured data into a table, the data is processed in an analysis-oriented manner, the Web server adopts a B/S (browser/server) architecture, the platform is deployed at an Ali cloud server end, and a client can be directly accessed through a browser;
firstly, starting a monitoring program by a server, establishing communication connection between a client carrying data and the server, and storing identification information of the client by the server; secondly, the client sends heartbeat data packets according to appointed time, the server receives heartbeat time which can actively update the current client, the server follows the setting of a timer of the server, the heartbeat time is compared with the current time, if the specified data updating time is exceeded, the server judges that the client is down by default, threads are not distributed to the client any more, and the pressure of the server can be effectively reduced;
on a single-node server architecture, a data layer is generally adopted to directly access a plurality of databases, but as the data volume increases, the number of devices increases, and in the face of massive electrical fire data, the single-node server architecture can cause performance degradation and the data reading and writing speed is reduced, the concurrent processing speed is improved by means of a Redis cache mechanism, generally, if the same cache information is stored on different servers in a distributed cluster, resource waste can be caused, and the reading efficiency is low, but by using the Redis cache database, the common cache information can be placed on one server, the database layer directly interacts with the cache, if data in the cache directly returns to a client, and if the data in the cache does not return to the client, the query can be carried out from MySql, so that the pressure of the databases is reduced, and the efficiency is improved.
The data acquisition unit is provided with acquisition equipment comprising a main controller, a buzzer, a temperature sensor, a residual current transformer, a current sensor, a voltage sensor, a shunt release and a GPS.
The main controller manages and controls other sensor modules, so that the acquisition equipment can normally operate; when the data is higher than a default threshold value set in the main controller or abnormal, the buzzer can give out an early warning sound to remind a user; the temperature sensor can simultaneously measure the temperature of the 4 cables; the residual current transformer is used for detecting the magnitude of residual current in the electric wire.
The physical architecture of the big data analysis module consists of a cluster server, an ETL server, a data warehouse and a Web server, is based on a distributed architecture and is assisted by a Redis cache mechanism.
The big data analysis module platform software architecture is realized based on Hadoop and Spark.
The big data analysis module adopts a big data parallel stream type computing framework based on memory computing, and Spark adds a plurality of extension functions on the basis of a static computing framework, wherein the extension functions comprise a plurality of sub-items. Spark SQL is used for processing structured data and can run SQL query and analysis algorithm; the Spark Streaming is improved on the basis of Storm and MapReduce, MLib machine learning and Gragh X can efficiently support more computing modes, including interactive query and stream processing, wherein Spark Streaming is a Spark computing core, and Streaming data can be split into RDDs (distributed data sets) according to time intervals to obtain batch processed data;
in order to improve the efficiency of the streaming framework in processing big data, the platform is optimized from the following points:
after the Spark Context is constructed, Spark Streaming batch processing time needs to be reasonably set according to the actual requirements of the project. Generally, too short time setting can cause memory resource waste and continuous occupation of threads, and too long time setting can cause task accumulation and incapability of timely processing submitted tasks;
thirdly, by utilizing the GC garbage recycling technology, when a monitoring object exceeds a scope, the memory can be automatically recycled, and the memory can be efficiently used
The data analysis unit analyzes the acquired data by adopting a random forest, a decision tree, a support vector and a neural network algorithm, and obtains an optimal prediction model through comparison.
The user management module is divided into three roles of a system manager, an equipment manager and a common user for login users.
The system administrator is a first-level user and has the highest management authority of the platform, the system administrator can create, modify and delete users, designate other user roles and also designate the device belonged person, and one system administrator can manage a plurality of device administrators and common users. The device administrator is a secondary user, and is created and specified by the system administrator which device the device administrator is responsible for, so that all device information of the device can be viewed and modified. The common user can only check the current monitoring data as a third-level user
The main controller sets threshold values of various data, and when the acquired data are higher than the default threshold values set in the main controller or are abnormal, the buzzer can give out early warning sound.
According to the regulations of national fire departments, the leakage current is not more than 0.5 mA; the current sensor is used for measuring the current value in the line, the current of the main loop is 0-100A, and the working temperature is minus 12 ℃ to 45 ℃; the voltage sensor can work normally when the power supply voltage is AC187V to AC 242V; the operating voltage of the shunt release is AC/DC110-400V, and when a short circuit occurs, the shunt release automatically trips.
The GPRS technology in the data transmission unit is based on a TCP network communication protocol, and the transmission distance is not limited;
the GPRS module model adopts SIM800C to support three interfaces of TTL, RS232 and RS485, the system adopts an RS485 interface to complete data transmission, data collected by the sensor is sent to the cloud server at regular time, the uploading frequency can be set by a user and is defaulted to be 60s for once uploading, the data analysis unit needs to receive data sent by a plurality of data collection devices, and the platform uses Socket sockets to complete the receiving of electrical fire data based on a TCP network communication protocol. The client device creates a Socket object by using a Socket construction method, the server also generates a Socket object for serving the current client device, receives a request sent by the client device, and if the object is successfully created, the connection between the client and the server is established.
Data pre-processing
The platform takes currents I, voltages U, temperatures T and residual currents L of three live wires as characteristic values, namely I1, I2, I3, U1, U2, U3, T1, T2, T3 and L, selects part of data to carry out prediction analysis on the probability of occurrence of an electrical fire, firstly converts information into a form which can be processed by an algorithm, and sets early warning and non-early warning in attributes as 1 or 0; for convenience of calculation, logarithm processing Possibility is carried out on the probability value of the occurrence of the electric fire, and the probability value is shown in a formula (1); in order to check the distribution condition of the characteristic value data, the data is divided into a training set and a verification set, and relevant information such as a total number count, an average value mean, a minimum value min, a maximum value max, quantiles and the like of the data is counted. The data preprocessing table is shown in table 1.
possibilitynew＝Log10possibility (1)
TABLE 1 data preprocessing table
Construction of early warning model
Dividing the acquired data into a training set and a verification set, analyzing the relation between the characteristic value and the occurrence probability of the electrical fire, and drawing a scatter diagram and a numerical characteristic distribution diagram to know how the influence of the characteristic value and the numerical characteristic distribution diagram on the occurrence probability of the electrical fire is. Because multiple collinearity exists among all factors, the independent conditions are not met, and linear regression cannot be directly carried out. The RMSE (root mean square error) value of the regression model is calculated to measure the deviation between the observed value and the true value, and generally, the smaller the root mean square value is, the better the performance of the current model is represented. The RMSE equation is shown in (2).
Multiple tests are carried out on a plurality of data sets, the RMSE value calculated by a random forest prediction model is 0.58, the support vector regression algorithm value is 0.65, the decision tree algorithm value is 1.38, and the neural network algorithm value is 0.60. The method finally adopts a random forest algorithm to perform prediction analysis.
After a user logs in the platform, the information such as the number of the existing devices of the platform, the data acquired by the devices, the number of the early warning data and the like can be seen on a main interface; the data real-time monitoring module displays the conditions of each monitoring point by means of a Baidu map, blue, yellow and red are respectively used for indicating the conditions of normal data, abnormal detection and severe abnormality of the monitoring point, and the ignition reason counting module visually displays the proportion of ignition factors such as electricity, improper fire use, production operation and the like; the platform running state module displays the working state of the system; and the checking early warning data statistical module displays the number of times of the early warning events of all the monitoring points in each month in one year.
The platform displays the current, temperature, voltage and power parameters acquired by the sensor in real time in a line graph mode, wherein the abscissa is time, and the ordinate is a corresponding value. And the operating state of the first equipment is shown, wherein the current, the voltage and the power comprise 3 lines, the temperature comprises 4 lines, the popped dots in the graph are the maximum value and the minimum value of the corresponding lines, and a user can visually see the change of the current, the voltage, the temperature and the power at each moment.
The platform marks the specific position of the existing equipment in the Baidu map according to the longitude and latitude data acquired by the sensor, so that an administrator user can conveniently check the position of the equipment, and a fireman can conveniently determine the specific position to arrive at the first time when an electrical fire accident happens.
The platform provides a query statistic function for a system administrator and an equipment administrator, a user can query information, early warning information and the like of own management equipment, can also set a specific time period to query corresponding data, and can provide data support for fire control management and control through historical data query and analysis;
the system administrator and the equipment administrator can input and modify the equipment information, and can operate the information such as the equipment position, the distribution box material, the electrical access mode, the air switch, the wire material, the service life and the like. The integrated service is provided aiming at equipment management, a user management page can check information such as user ID, user name, address, contact way, mailbox and the like, so that hierarchical management of users is realized, a system administrator can create and delete users, and the equipment administrator and a common user can only modify own information;
monitoring components are deployed in power distribution boxes in environments such as a data center and a computer room, and an administrator sets an IP address, a port number, temperature, current, an initial threshold value of voltage and the like of a server by means of an SIM800 serial port debugging tool. The data is transmitted in hexadecimal, and then is processed in 10-system through the system conversion, the real-time early warning analysis is carried out on the data through the established data model, the output probability value is taken as the basis for whether the early warning is carried out, and the early warning result is shown in table 2. Experiments show that the occurrence probability of the electrical fire can be accurately predicted.
TABLE 2 Electrical fire early warning data sheet
When the fire-fighting early warning platform works, the fire-fighting early warning platform provides a data acquisition module, a data transmission module, a big data analysis module and a data display module based on a multi-sensor acquisition technology and a big data analysis technology, a plurality of sensor devices are deployed at positions easy to catch fire, parameters such as current, temperature and voltage are monitored in real time, and monitoring data and device longitude and latitude data are remotely sent to a server by GPRS; monitoring the communication state of the server client by adopting Socket and heartbeat monitoring technology to finish the real-time transmission of data; the data are processed by means of a big data analysis platform, modeling analysis is carried out by using a random forest algorithm, and the data are visually displayed by combining the result of the data analysis. Compare with traditional electric fire alarm system, the platform is more intelligent, handles the reaction more fast to conflagration hidden danger incident, can in time discover the condition of a fire in the conflagration bud stage.
Second embodiment
Referring to fig. 6, 7, 8, 9, 10 and 11, a second embodiment of the present application provides another electrical fire early warning system based on the electrical fire early warning system provided by the first embodiment of the present application. The second embodiment is only the preferred mode of the first embodiment, and the implementation of the second embodiment does not affect the implementation of the first embodiment alone.
Specifically, the electric fire early-warning system provided by the second embodiment of the present application is different in that the electric fire early-warning system further includes a heat dissipation assembly, the heat dissipation assembly includes a flow divider 1 and an air pump 2, the air pump 2 is communicated with the top of the flow divider 1 through an air pipe, and the flow divider 1 includes a first flow dividing plate 11, a second flow dividing plate 12, a third flow dividing plate 13 and a fourth flow dividing plate;
the first splitter plate 11, the second splitter plate 12, the third splitter plate 13 and the fourth splitter plate are bonded in a sealing manner, a through hole is formed in the center of the first splitter plate 41, a connecting pipe head is communicated with the center of the top of the first splitter plate 41, four strip-shaped guide grooves are symmetrically formed in the top of the second splitter plate 12, one ends of the four guide grooves are communicated with a rectangular groove, a rectangular pyramid is arranged in the rectangular groove, and the other ends of the strip-shaped guide grooves are communicated with the through hole;
the top of the three current distribution plates 13 is provided with four groups of groove structures which are the same as those on the second current distribution plate 12, and when the second current distribution plate 12 is overlapped with the third current distribution plate 3, four rectangular grooves on the third current distribution plate 13 respectively correspond to four through holes on the second current distribution plate 12;
when the fourth splitter plate 14 and the third splitter plate 13 are overlapped, 16 rectangular grooves are formed in the positions, corresponding to the through holes in the third splitter plate 3, of the fourth splitter plate 14, each rectangular groove corresponds to four diversion grooves, and one ends of the diversion grooves are communicated with the through holes;
the bottom of the first splitter plate 11 is provided with a diversion trench corresponding to the top of the second splitter plate 12, similarly, the bottom of the second splitter plate 12 is provided with a diversion trench corresponding to the top of the third splitter plate 13, and the bottom of the third splitter plate 13 is provided with a diversion trench corresponding to the top of the fourth splitter plate 14;
after the four splitter plates are bonded, the splitter plate positioned at the upper side is superposed with the diversion trench on the splitter plate at the lower side to form a diversion channel;
when in use, the shunt 1 can be installed on the upper side of a circuit board and can be applied to the top of the inner wall of a shell of a main controller in data acquisition equipment;
when using, can open the air pump, gaseous through-hole through 11 centers of first splitter plate enters into the rectangular channel at 12 tops of second splitter plate, and evenly lead water to four guiding gutters with gaseous through the rectangular pyramid, then enter into third splitter plate 13 through the through-hole, can evenly lead water to corresponding the guiding gutter every time on the same principle, last through-hole on the fourth splitter plate, and gaseous can be even flow out from every hole, and because the hole is evenly distributed, so can be even dispel the heat to the circuit board, make the radiating effect better, the life of extension main control unit etc..
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (8)
1. An electrical fire-fighting early warning system, comprising:
the device data management module comprises a data acquisition unit and a data transmission unit, wherein the data acquisition unit acquires electrical data of a key monitoring area by deploying a plurality of sensors, the data transmission unit adopts GPRS and Socket technologies to transmit and receive sensor data in real time, and completes data receiving and storing by using a Socket in combination with a heartbeat monitoring technology on the basis of normally receiving the data;
the big data analysis module comprises a data storage unit and a data analysis unit, and the data analysis unit is used for preprocessing and analyzing defense elimination data in the database;
the monitoring and early warning module provides the functions of real-time monitoring, abnormal early warning, data visualization and information push;
the user management module comprises a user login unit and a right management unit;
the data acquisition unit comprises acquisition equipment, a data acquisition unit and a data acquisition unit, wherein the acquisition equipment comprises a main controller, a heat dissipation assembly is arranged at the top of the inner wall of a shell of the main controller and positioned on the upper side of an internal circuit board of the main controller, the heat dissipation assembly comprises a flow divider and an air pump, the air pump is communicated with the top of the flow divider through an air conveying pipe, and the flow divider comprises a first flow dividing plate, a second flow dividing plate, a third flow dividing plate and a fourth flow dividing plate;
the first flow dividing plate, the second flow dividing plate, the third flow dividing plate and the fourth flow dividing plate are bonded in a sealing mode, a through hole is formed in the center of the first flow dividing plate, the center of the top of the first flow dividing plate is communicated with a connecting pipe head, four strip-shaped flow guiding grooves are symmetrically formed in the top of the second flow dividing plate, one ends of the four flow guiding grooves are communicated with a rectangular groove, a rectangular pyramid is arranged inside the rectangular groove, and the other end of each strip-shaped flow guiding groove is communicated with the through hole;
four groups of groove structures which are the same as those on the second splitter plate are arranged at the top of the three splitter plates, and when the second splitter plate is superposed with the third splitter plate, four rectangular grooves on the third splitter plate respectively correspond to four through holes on the second splitter plate in position;
when the fourth flow distributing plate and the third flow distributing plate are superposed, a rectangular groove is formed in the position, corresponding to the through hole in the third flow distributing plate, of the fourth flow distributing plate, each rectangular groove corresponds to four flow guiding grooves, and one end of each flow guiding groove is communicated with the through hole;
the bottom of the first splitter plate is provided with a flow guide groove corresponding to the top of the second splitter plate, and similarly, the bottom of the second splitter plate is provided with a flow guide groove corresponding to the top of the third splitter plate, and the bottom of the third splitter plate is provided with a flow guide groove corresponding to the top of the fourth splitter plate;
after the four splitter plates are bonded, the splitter plate positioned on the upper side is superposed with the diversion trench on the splitter plate positioned on the lower side to form a diversion channel.
2. An electrical fire-fighting early warning system according to claim 1, characterized in that: the data acquisition unit is characterized in that the acquisition equipment further comprises a buzzer, a temperature sensor, a residual current transformer, a current sensor, a voltage sensor, a shunt release and a GPS.
3. An electrical fire-fighting early warning system according to claim 1, characterized in that: the physical architecture of the big data analysis module consists of a cluster server, an ETL server, a data warehouse and a Web server, is based on a distributed architecture and is assisted by a Redis cache mechanism.
4. An electrical fire-fighting early warning system according to claim 1, characterized in that: the big data analysis module platform software architecture is realized based on Hadoop and Spark.
5. An electrical fire-fighting early warning system according to claim 1, characterized in that: the data analysis unit analyzes the acquired data by adopting a random forest, a decision tree, a support vector and a neural network algorithm, and obtains an optimal prediction model through comparison.
6. An electrical fire-fighting early warning system according to claim 1, characterized in that: the user management module is divided into three roles of a system manager, an equipment manager and a common user for login users.
7. An electrical fire-fighting early warning system according to claim 2, characterized in that: the main controller sets threshold values of various data, and when the acquired data are higher than the default threshold values set in the main controller or are abnormal, the buzzer can give out early warning sound.
8. An electrical fire-fighting early warning system according to claim 1, characterized in that: the GPRS technology in the data transmission unit is based on a TCP network communication protocol, and the transmission distance is not limited.
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