Public safety early warning system based on big data

Abstract

The utility model relates to the technical field of big data, in particular to a public safety early warning system based on big data, which comprises a big data part; the storage module is used for storing big data; the cooling part is arranged on the big data part; the early warning part is arranged on the big data part, the big data part comprises a cabinet and at least one group of data servers and is installed in the cabinet, and the cooling part comprises at least one group of middle boxes and is arranged between the data servers; at least one group of circulating holes are arranged along the inner cavity of the middle box; the side covers are arranged on two sides in the cabinet and are connected with the middle box; and at least one group of air gathering ports are arranged and are connected with the circulating holes. According to the overall design, multiple aspects such as heat dissipation, early warning and intelligent control are considered, the stability and reliability of the system are effectively improved, the system fault risk caused by overheating and the like is reduced, and solid hardware support is provided for a public safety early warning system.

Description

TECHNICAL FIELD

[0001] The utility model relates to big data technical field, concretely relates to a public security early warning system based on big data. BACKGROUND

[0002] Under the big data environment, data switch is essential tool, usually in large enterprises, will set a set of data center machine room assembled with data exchange module, in the machine room, generally by the case carries out the assembly of data exchange module.

[0003] The existing data server case will open a large number of mesh and other heat dissipation windows, so that the cold air generated by the air conditioner, fan and other refrigeration components in the machine room penetrates into the case to dissipate heat and cool down, but the dust enters, which affects the use stability, therefore, a public security early warning system based on big data is proposed, which considers multiple aspects such as heat dissipation, early warning and intelligent control, effectively improves the stability and reliability of the system, reduces the system failure risk caused by overheating and other reasons, and provides solid hardware support for the public security early warning system. UTILITARY NEW MODEL CONTENT

[0004] In view of the problems in the prior art, the utility model provides a public security early warning system based on big data, which considers multiple aspects such as heat dissipation, early warning and intelligent control, effectively improves the stability and reliability of the system, reduces the system failure risk caused by overheating and other reasons, and provides solid hardware support for the public security early warning system.

[0005] The utility model solves the technical scheme that it adopts a kind of public security early warning system based on big data, comprising;

[0006] Big data part;For storing big data;

[0007] Cooling part, is set on big data part;

[0008] Early warning part, is set on big data part.

[0009] By adopting the above technical scheme, the components composed of big data part, cooling part and early warning part provide a set of early warning system with good use safety for public security big data processing and storage.

[0010] Specifically, the big data part includes:

[0011] Cabinet,

[0012] Data server, at least one group is set, and is installed in cabinet.

[0013] By adopting the technical scheme, the cabinet and the data server in the big data part are used to realize efficient storage and processing of big data, so that the public safety early warning system can process and analyze various big data information in real time and accurately.

[0014] Specifically, the cooling part comprises:

[0015] The middle box is arranged between the data servers.

[0016] The flow hole is arranged between the middle boxes.

[0017] The side cover is arranged on both sides of the cabinet and connected with the middle box.

[0018] The air inlet is arranged between the flow holes.

[0019] The air outlet flange is arranged on the top of the cabinet and connected with the middle box.

[0020] The fan is arranged in the air outlet flange.

[0021] By adopting the technical scheme, the cooling part is arranged to effectively solve the overheating problem in the big data processing process, and the combination of the middle box, the flow hole, the side cover, the air inlet, the air outlet flange and the fan realizes good air circulation and heat dissipation effect in the cabinet, and guarantees the stable operation of the data server.

[0022] Specifically, the air inlet pipe is arranged at the bottom of the cabinet, and the bottom of the side cover is connected with the air inlet pipe.

[0023] Specifically, the early warning part comprises:

[0024] The temperature sensor is arranged in the cabinet.

[0025] The PLC controller is connected with the temperature sensor.

[0026] The sound and light alarm is connected with the PLC controller.

[0027] The data storage module is connected with the PLC controller.

[0028] The network control module is connected with the PLC controller.

[0029] By adopting the technical scheme, the temperature sensor in the early warning part is used to monitor the temperature in the cabinet in real time, and once the temperature exceeds the preset threshold, the PLC controller will start the sound and light alarm to alarm, and record and transmit the related information through the data storage module and the network control module, so as to take timely measures.

[0030] Specifically, the output end of the PLC controller is electrically connected with the input end of the fan through a wire.

[0031] The utility model discloses the beneficial effect has: the system realizes the efficient storage and processing of big data through the cabinet and data server in big data department, ensures that public safety early warning system can treat and analyze each kind of big data information in real time, accurately, through the setting of cooling part, effectively solved the overheating problem that big data processing process can produce, through the combination design of middle box, flow hole, side cover, wind collecting mouth, exhaust flange and fan, realize the good air circulation and heat dissipation effect in the cabinet, guarantee the stable operation of data server, through early warning department, through temperature sensor real -time monitoring the temperature situation in the cabinet, once temperature exceeds the preset threshold value, and PLC controller will start the audible -visual alarm immediately and alarm, and through data storage module and network control module record and transmit relevant information, so that timely countermeasures are taken, the overall design considers heat dissipation, early warning and intelligent control etc. multiple aspects, effectively improve the stability and reliability of system, reduce the system failure risk caused by overheating etc. reason, provide solid hardware support for public safety early warning system. BRIEF DESCRIPTION OF DRAWINGS

[0032] The utility model is further illustrated below in connection with the drawings and examples.

[0033] Figure 1 It is the whole schematic view of the utility model;

[0034] Figure 2 It is the data server schematic view of the utility model;

[0035] Figure 3 It is the side cover schematic view of the utility model;

[0036] Figure 4 It is the exhaust flange schematic view of the utility model;

[0037] Figure 5 It is the early warning department schematic view of the utility model;

[0038] Figure 6 It is the module connection diagram of early warning department of the utility model;

[0039] In the drawing: 1, big data department;101, cabinet;102, data server;2, cooling part;201, middle box;202, flow hole;203, side cover;204, wind collecting mouth;205, exhaust flange;206, fan;207, air inlet pipe;3, early warning department;301, temperature sensor;302, PLC controller;303, audible -visual alarm;304, data storage module;305, network control module. DETAILED DESCRIPTION

[0040] In order to make the technical means, creation characteristics, achieve the purpose and effect of the utility model easy to understand, the following will be further described in conjunction with the specific implementation mode.

[0041] In order to improve the use safety, such as Figures 1-6 The utility model discloses a public security early warning system based on big data, which comprises:

[0042] Big data part 1 is used for storing big data.

[0043] Cooling part 2 is arranged on the big data part 1.

[0044] Early warning part 3 is arranged on the big data part 1.

[0045] In use, the assembly composed of the big data part 1, the cooling part 2 and the early warning part 3 provides a good-use-safety early warning system for big data processing and storage of public security, and the overall design considers multiple aspects such as heat dissipation, early warning and intelligent control, effectively improves the stability and reliability of the system, reduces the system failure risk caused by overheating and the like, and provides solid hardware support for the public security early warning system.

[0046] Exemplarily, as shown in Figure 1 、 2 The utility model further comprises that the big data part 1 comprises:

[0047] Cabinet 101,

[0048] Data server 102 is at least provided with a group, and is installed in the cabinet 101.

[0049] In order to cool the high temperature generated by the server work, exemplarily, as shown in Figure 2 、 3 , 4, the utility model further comprises that the cooling part 2 comprises:

[0050] Middle box 201 is at least provided with a group, and is arranged between the data server 102.

[0051] Flow hole 202 is at least provided with a group, and is arranged along the inner cavity of the middle box 201.

[0052] Side cover 203 is arranged on both sides of the cabinet 101, and is connected with the middle box 201.

[0053] Air inlet 204 is at least provided with a group, and is connected with the flow hole 202.

[0054] Exhaust flange 205 is at least provided with a group, and is connected with the middle box 201 on the top of the cabinet 101.

[0055] A fan 206 is connected to the air outlet flange 205.

[0056] In use, the fan 206 draws air from the topmost middle box 201, so that external air flows into the side cover 203 without contacting the server, and is then discharged by the fan 206, thereby achieving air cooling.

[0057] As shown in Figure 1 , the utility model also includes that the inner bottom of the cabinet 101 is provided with an air inlet pipe 207, and the bottom of the side cover 203 is connected with the air inlet pipe 207.

[0058] In order to give a temperature warning, as shown in Figure 1 , 6 , the utility model also includes that the warning part 3 comprises:

[0059] A temperature sensor 301 is arranged in the cabinet 101;

[0060] A PLC controller 302 is connected with the temperature sensor 301 at the input end;

[0061] An audible and visual alarm 303 is connected with the PLC controller 302 at the input end;

[0062] A data storage module 304 is connected with the PLC controller 302;

[0063] A network control module 305 is connected with the PLC controller 302.

[0064] In use, the temperature sensor 301 is used to monitor the temperature in the cabinet 101 in real time, and once the temperature exceeds a preset threshold, the PLC controller 302 will immediately start the audible and visual alarm 303 to give an alarm and start the fan 206 to work, thereby cooling the inside of the cabinet 101.

[0065] As shown in Figure 1 , 5 , the utility model also includes that the output end of the PLC controller 302 is electrically connected with the input end of the fan 206 through wires.

[0066] The utility model discloses when using, realize the efficient storage and processing of big data through the cabinet 101 and data server 102 in big data part 1, ensure that public security early warning system can treat and analyze each kind of big data information in real time, accurately, through the setting of cooling part 2, effectively solved the overheating problem that big data processing process can produce, through the combination design of middle box 201, flow hole 202, side cover 203, wind collecting mouth 204, exhaust flange 205 and fan 206, realized the good air flow and heat dissipation effect in the cabinet 101, guaranteed the stable operation of data server, early warning part 3 through temperature sensor 301 real -time monitoring the temperature situation in the cabinet 101, once temperature exceeds the preset threshold value, and PLC controller 302 will start audible -visual annunciator 303 and alarm immediately, and through data storage module 304 and network control module 305 record and transmit relevant information, so as to take countermeasures in time, overall design considered the heat dissipation, early warning and intelligent control etc. multiple aspects, effectively promoted the stability and reliability of system, reduced the system failure risk caused by overheating etc. reason, provided solid hardware support for public security early warning system.

[0067] The basic principle, main features and advantages of the utility model are shown and described above. The skilled in the art should understand that the utility model is not limited by the above-mentioned embodiments, and the above-mentioned embodiments and the description in the specification are only to illustrate the principle of the utility model. Without departing from the spirit and scope of the utility model, the utility model can also have various changes and improvements, and these changes and improvements all fall within the scope of the utility model claimed. The scope of protection of the utility model is defined by the appended claims and their equivalents.

Claims

1. A public security early warning system based on big data, characterized in that, Include; Big data department (1); for storing big data; Cooling part (2), provided on the big data part (1); Early warning part (3), provided on the big data part (1); The big data part (1) comprises: Cabinet (101), Data server (102), at least one set is provided, and is installed in the cabinet (101); The cooling part (2) comprises: Middle box (201), at least one set is provided, and is arranged between the data servers (102); Flow hole (202), at least one set is provided, and is arranged along the inner cavity of the middle box (201); Side cover (203) is arranged on both sides of the cabinet (101), and is connected with the middle box (201); The wind collecting port (204) is connected with the flow hole (202); Exhaust flange (205), at least one set is provided, and is connected with the middle box (201) at the top of the cabinet (101); Fan (206) is connected in the exhaust flange (205).

2. The public security early warning system based on big data according to claim 1, characterized in that, The bottom of the cabinet (101) is provided with air inlet pipe (207), and the bottom of the side cover (203) is connected with the air inlet pipe (207).

3. The public security early warning system based on big data according to claim 2, characterized in that, The early warning part (3) comprises: Temperature sensor (301) is arranged in the cabinet (101); PLC controller (302), the input end is connected with the temperature sensor (301); Sound and light alarm (303), the input end is connected with the output end of the PLC controller (302); Data storage module (304) is connected with the PLC controller (302); Network control module (305) is connected with the PLC controller (302).

4. The public security early warning system based on big data according to claim 3, characterized in that, The output end of the PLC controller (302) and the input end of the fan (206) are electrically connected through wires.

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