CN114666246A - Intelligent monitoring system and method for startup and shutdown of rotary kiln based on sniffing technology - Google Patents
Intelligent monitoring system and method for startup and shutdown of rotary kiln based on sniffing technology Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring of running states of rotary machines, in particular to a rotary kiln start-stop intelligent monitoring system and method based on sniffing technology. A rotary kiln start-stop intelligent monitoring system based on sniffing technology comprises a monitoring equipment adding statistical module, wherein monitoring equipment on a data link and a network link related to rotary kiln start-stop monitoring is added into a monitoring equipment list, and each monitoring equipment is provided with corresponding identification information; the sniffing module is used for sniffing the monitoring equipment in the monitoring equipment list according to the identification information and a sniffing instruction so as to determine the state of the monitoring equipment; and the data packet analysis module is used for acquiring a data packet between the monitoring equipment with the available equipment state in the monitoring equipment list and the rotary kiln correspondingly connected with the monitoring equipment. The system and the method can effectively reduce the misjudgment rate of the running state of the rotary kiln, and improve the accuracy and the real-time performance of monitoring the starting and stopping state of the rotary kiln.
Description
Technical Field
The application relates to the technical field of monitoring of running states of rotary machines, in particular to a rotary kiln start-stop intelligent monitoring system and method based on sniffing technology.
Background
The rotary kiln is a cylindrical high-temperature kiln body which is obliquely arranged and can continuously rotate, and during the working process, materials enter the rotary kiln from a feeding end, are roasted in the rotary kiln to generate a physical and chemical reaction, and are discharged from a discharging end. The monitoring of the running state of the rotary kiln (including the monitoring of the starting and stopping state of the rotary kiln) is an important link in the management application of the whole life cycle of the rotary kiln. The starting and stopping state of the rotary kiln is accurately judged, and the starting and stopping state of the rotary kiln is uploaded to an equipment management system, so that data support can be provided for calculation of key indexes such as the running time of the rotary kiln, the service life of equipment, the interval time without faults and the like.
Related patent application No. CN201410465411.8 discloses an intelligent judgment method for starting and stopping a rotating machinery monitoring system, which comprises the steps of acquiring the current rotating speed of equipment at intervals of a first preset interval; when the current rotating speed of the equipment is greater than the preset lowest running rotating speed, if the fluctuation of the current rotating speed of the equipment is smaller than the preset normal running rotating speed fluctuation range and the duration is greater than a first duration, the equipment is judged to be in a normal running state; the process of the rotating speed from the shutdown state to the normal operation state is judged as the startup process, and the process of the rotating speed from the normal operation state to the shutdown state is judged as the shutdown process.
However, in the process of implementing the above technical solution, the inventors of the present application found that the technical solution has at least the following disadvantages: the rotating speed of the rotary kiln is obtained through a rotating speed sensor, data of the rotating speed sensor needs to be transmitted into a distributed control system firstly, then the data are collected and collected into a data lake through a data collector, and finally a computer control system obtains the data from the data lake according to an appointed point position to carry out starting and stopping judgment.
Disclosure of Invention
The intelligent monitoring system and method for the starting and stopping of the rotary kiln based on the sniffing technology are provided for solving the technical problems in the prior art, the misjudgment rate of the running state of the rotary kiln can be reduced, and the monitoring accuracy of the starting and stopping state of the rotary kiln is improved.
The embodiment of the application discloses: a rotary kiln start-stop intelligent monitoring system based on sniffing technology comprises
The monitoring equipment adding statistical module is used for adding monitoring equipment on a data link and a network link related to the starting and stopping monitoring of the rotary kiln into a monitoring equipment list, and each monitoring equipment is provided with corresponding identification information;
the sniffing module is used for sniffing the monitoring equipment in the monitoring equipment list through a sniffing instruction according to the identification information so as to determine the state of the monitoring equipment;
the data packet analysis module is used for acquiring a data packet between monitoring equipment with a state available for the equipment and a rotary kiln correspondingly connected with the monitoring equipment in a monitoring equipment list, analyzing the data packet, and if the data packet does not meet the analysis requirement of the data packet, changing the state corresponding to the monitoring equipment;
the shutdown rule determining module is used for setting a shutdown rule of the rotary kiln in a shutdown state;
and the starting and stopping judgment module is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln and determining the running state corresponding to the rotary kiln according to the monitoring data and the stopping rule.
Preferably, the sniffing module comprises
The first sniffing unit is used for carrying out data link layer sniffing on the monitoring equipment in the monitoring equipment list through a first sniffing instruction and acquiring first sniffing information of the monitoring equipment; the identification information comprises first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be available, otherwise, sets the state of the monitoring equipment to be unavailable;
the second sniffing unit is used for carrying out network link layer sniffing on the monitoring equipment with the state of equipment available in the monitoring equipment list through a second sniffing instruction, and when the network connection of the monitoring equipment is overtime or the network connection of the monitoring equipment is unavailable, the second sniffing unit sets the state corresponding to the monitoring equipment as the equipment unavailable connection;
and the third sniffing unit is used for carrying out application layer sniffing on the monitoring equipment with the state in the monitoring equipment list available for the equipment through a third sniffing instruction, and when the condition that the network connection is overtime or the network cannot be connected occurs to the port of the monitoring equipment, the third sniffing unit sets the state of the corresponding monitoring equipment into the condition that the equipment port cannot be connected.
Preferably, the packet parsing module comprises
The first data packet analysis unit is used for acquiring a data request packet which is sent by the rotary kiln to monitoring equipment which is correspondingly connected and available for the equipment, analyzing the data request packet, and if the data request packet does not meet the analysis requirement of the data request packet, setting the state corresponding to the monitoring equipment as unavailable for an application program;
the second data packet analysis unit is used for acquiring a first data response packet sent back to the rotary kiln by the corresponding monitoring equipment and analyzing the first data response packet, and if the first data response packet does not meet the analysis requirement of the first data response packet, the state corresponding to the monitoring equipment is set as that the application program is unavailable;
and the third data packet analysis unit is used for acquiring a second data response packet sent back to the corresponding monitoring equipment by the rotary kiln and analyzing the second data response packet, and if the second data response packet does not meet the analysis requirement of the second data response packet, setting the state corresponding to the monitoring equipment as unavailable for an application program.
Preferably, the shutdown rule determination module includes
The kiln rotating speed presetting unit is used for setting a kiln rotating speed threshold value of the rotary kiln in a shutdown state;
the high-temperature fan temperature presetting unit is used for setting a high-temperature fan temperature threshold value of the rotary kiln in a shutdown state;
and the duration setting unit is used for setting a duration threshold value of the rotary kiln in a shutdown state.
Preferably, the start-stop determining module comprises
The rotary kiln shutdown judging unit is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln, and judging that the corresponding rotary kiln is in a shutdown state when the monitoring data meets the shutdown rule;
the rotary kiln operation judging unit is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln, and judging that the corresponding rotary kiln is in an operation state when the monitoring data does not meet the shutdown rule;
and the rotary kiln offline judging unit judges that the rotary kiln is in an offline state when the rotary kiln is not in a shutdown state or an operation state.
An intelligent monitoring method for starting and stopping a rotary kiln based on sniffing technology comprises the following steps,
l1 adds the monitoring equipment on the data link and network link related to the start-stop monitoring of the rotary kiln into a monitoring equipment list through a monitoring equipment adding statistical module, and each monitoring equipment is provided with corresponding identification information;
l2 sniffs, by a sniffing module, the monitoring devices in the monitoring device list by using a sniffing instruction according to the identification information to determine the states of the monitoring devices;
l3 obtains a data packet between a monitoring device with a usable device state in a monitoring device list and a rotary kiln correspondingly connected with the monitoring device through a data packet analysis module, analyzes the data packet, and changes the state of the corresponding monitoring device if the data packet does not meet the analysis requirement of the data packet;
l4 sets the shutdown rule of the rotary kiln in a shutdown state through the shutdown rule determination module;
l5 obtains the monitoring data of the monitoring equipment available for the equipment in the monitoring equipment list to the rotary kiln through the start-stop judging module, and determines the running state corresponding to the rotary kiln according to the monitoring data and the stop rule.
Preferably, L2 specifically includes
L21 performs data link layer sniffing on the monitoring devices in the monitoring device list through a first sniffing instruction by using a first sniffing unit, and obtains first sniffing information of the monitoring devices; the identification information includes first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be available, otherwise, sets the state of the monitoring equipment to be unavailable;
l22 performs network link layer sniffing on the monitoring device in the monitoring device list in a state of being available for the device by using a second sniffing unit and through a second sniffing instruction, and when the network connection of the monitoring device is overtime or the monitoring device cannot be connected to the network, the second sniffing unit sets the state corresponding to the monitoring device as the device cannot be connected;
l23 adopts the third sniffing unit and carries out application layer sniffing on the monitoring device available for the device in the state in the monitoring device list through the third sniffing instruction, and when the network connection timeout or the network connection failure occurs at the port of the monitoring device, the third sniffing unit sets the state corresponding to the monitoring device as the device port failure.
Preferably, L3 specifically includes
The method comprises the steps that L31 acquires a data request packet which is sent by a rotary kiln to monitoring equipment which is correspondingly connected and has an available equipment state through a first data packet analysis unit, analyzes the data request packet, and sets the state corresponding to the monitoring equipment as unavailable for an application program if the data request packet does not meet the analysis requirement of the data request packet;
the method comprises the steps that L32 acquires a first data response packet sent back to the rotary kiln by corresponding monitoring equipment through a second data packet analysis unit, analyzes the first data response packet, and sets the state corresponding to the monitoring equipment as unavailable for an application program if the first data response packet does not meet the analysis requirement of the first data response packet;
and the L33 acquires a second data response packet sent back to the corresponding monitoring equipment by the rotary kiln through a third data packet analysis unit, analyzes the second data response packet, and sets the state corresponding to the monitoring equipment as unavailable for the application program if the second data response packet does not meet the analysis requirement of the second data response packet.
Preferably, L4 specifically includes
L41 sets the kiln rotational speed threshold value of the rotary kiln in a shutdown state through a kiln rotational speed presetting unit;
l42 sets the temperature threshold of the high temperature fan when the rotary kiln is in a shutdown state through the high temperature fan temperature presetting unit;
l43 sets the duration threshold value for the rotary kiln being in the shutdown state by the duration setting unit.
Preferably, L5 specifically includes
L51 acquires monitoring data of monitoring equipment available for equipment in a monitoring equipment list to the rotary kiln through a rotary kiln shutdown judging unit, and judges that the corresponding rotary kiln is in a shutdown state when the monitoring data meets the shutdown rule;
l52 acquires monitoring data of available monitoring equipment in a monitoring equipment list to the rotary kiln through a rotary kiln operation judging unit, and judges that the corresponding rotary kiln is in an operation state when the monitoring data does not meet the shutdown rule;
l53 determines that the rotary kiln is in the off-line state by the rotary kiln off-line determination unit when the rotary kiln is neither in the stopped state nor in the operating state.
Advantageous effects
The intelligent monitoring system and method for the rotary kiln start and stop can add the monitoring equipment on the data link and the network link related to the rotary kiln start and stop monitoring into the monitoring equipment list through the monitoring equipment adding statistical module, judge the state of the monitoring equipment in the monitoring equipment list through the sniffing module and the data packet analyzing module to obtain the monitoring equipment with the state available for the equipment, judge the running state of each rotary kiln through the monitoring equipment with the state available for the equipment and the preset start and stop rules, further effectively reduce the misjudgment rate of the running state of the rotary kiln, and improve the accuracy of the rotary kiln start and stop monitoring.
Drawings
FIG. 1 is a block diagram of a flow of an intelligent monitoring system for starting and stopping a rotary kiln based on sniffing technology;
FIG. 2 is a block flow diagram of a sniffing module of the present application;
fig. 3 is a block diagram of a flow of a packet parsing module according to the present application.
Detailed Description
The technical scheme of the application is further explained by the specific implementation mode in combination with the attached drawings.
Example 1: as shown in FIG. 1, the intelligent monitoring system for the startup and shutdown of the rotary kiln based on the sniffing technology comprises a monitoring device adding statistical module, a sniffing module, a data packet analyzing module, a shutdown rule determining module and a startup and shutdown judging module.
And the monitoring equipment adding statistical module is used for adding monitoring equipment on a data link and a network link related to the starting and stopping monitoring of the rotary kiln into a monitoring equipment list. Monitoring devices include servers, personal computers, industrial data acquisition gateways, switches, routers, gateways, and the like. And each monitoring device is provided with corresponding identification information, wherein the identification information comprises a monitoring device IP address, a monitoring device physical address, a network port, a gateway IP address to which a monitoring device IP network segment belongs, a router IP address to which the monitoring device IP network segment belongs, a next hop address of a router to which the monitoring device IP network segment belongs, a monitoring device name, a monitoring device application, a monitoring device process name and a monitoring device port number.
And the sniffing module is used for sniffing the monitoring equipment in the monitoring equipment list according to the identification information and through a sniffing instruction so as to determine the state of the monitoring equipment. The sniffing module needs to perform three-layer sniffing in sequence, as shown in fig. 2, the first layer performs data link layer sniffing through the first sniffing unit, the second layer performs network link layer sniffing through the second sniffing unit, and the third layer performs application layer sniffing through the third sniffing unit, specifically,
the first sniffing unit performs data link layer sniffing on the monitoring equipment in the monitoring equipment list through a first sniffing instruction, and obtains first sniffing information of the monitoring equipment; the identification information includes first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be usable, otherwise, the state of the monitoring equipment is set to be unusable. The first sniffing information is a sniffing physical address of the monitoring equipment, which is obtained by the first sniffing unit performing data link layer sniffing on the monitoring equipment, and the first sniffing reference information is a monitoring equipment physical address of the monitoring equipment in the identification information stored in the monitoring equipment list.
Specifically, if the monitoring devices all belong to the same network segment, the first sniffing unit sequentially initiates sniffing on the monitoring devices in the monitoring device list according to a first sniffing instruction "arpsrniffer monitoring device IP address" to obtain sniffing physical addresses of the monitoring devices; if the monitoring devices do not belong to the same network segment, the first sniffing unit initiates sniffing on the monitoring devices in the monitoring device list according to a first sniffing instruction 'gateway IP address monitoring device IP address to which the IP network segment of the arpsrniffer monitoring device belongs' to obtain sniffing physical addresses of the monitoring devices. The first sniffing unit compares the sniffing physical address of the monitoring equipment with the corresponding physical address of the monitoring equipment in the monitoring equipment list, and when the sniffing physical address of the monitoring equipment is the same as the corresponding physical address of the monitoring equipment in the monitoring equipment list, the state of the corresponding monitoring equipment is set as 'equipment available'; and when the sniffing physical address of the monitoring equipment is different from the corresponding physical address of the monitoring equipment in the monitoring equipment list, setting the state of the corresponding monitoring equipment to be 'equipment unavailable'.
The second sniffing unit is used for carrying out network link layer sniffing on the monitoring equipment available for the equipment in the state in the monitoring equipment list through a second sniffing instruction, when the condition that the network connection is overtime or the network cannot be connected occurs in the monitoring equipment, the second sniffing unit sets the state of the corresponding monitoring equipment to be the equipment cannot be connected.
Specifically, the second sniffing unit sequentially performs network connectivity sniffing on the monitoring devices in the monitoring device list, the states of which are "device available", according to the second sniffing instruction "ping monitoring device IP address", if the connection timeout or the connection failure occurs in the ping, the second sniffing unit changes the states of the corresponding monitoring devices in the monitoring device list into "device unavailable connection", otherwise, the states of the corresponding monitoring devices are still "device available".
The third sniffing unit is used for carrying out application layer sniffing on the monitoring equipment with the state in the monitoring equipment list available to the equipment through a third sniffing instruction, when the condition that the network connection is overtime or the network cannot be connected occurs to the port of the monitoring equipment, the third sniffing unit sets the state corresponding to the monitoring equipment into the condition that the equipment port cannot be connected.
Specifically, the third sniffing unit sequentially sniffs the network connectivity of the ports of the monitoring devices in the monitoring device list, which are in the state of "device available", according to a third sniffing instruction "telnet monitoring device IP address monitoring device port number", and if the telnet is connected overtime or is not connected, the third sniffing unit changes the state of the corresponding monitoring device in the monitoring device list into "device port is not connected", otherwise, the state of the corresponding monitoring device is still "device available".
Finally, the state of each monitoring device in the monitoring device list is determined to be 'device available' or 'device unavailable' or 'device not connectable' or 'device port not connectable' by the sniffing module.
The data packet analysis module is used for acquiring a TCP/IP data packet between the monitoring equipment with the available equipment and the rotary kiln correspondingly connected with the monitoring equipment in the monitoring equipment list, analyzing the data packet, and if the data packet does not accord with the analysis requirement of the data packet, changing the state corresponding to the monitoring equipment. The packet parsing module, as shown in fig. 3, includes a first packet parsing unit, a second packet parsing unit, and a third packet parsing unit.
For example, the IP address of a certain rotary kiln is 172.16.8.19, the internet access is "eth 10", and the IP address of the monitoring device correspondingly connected to the rotary kiln is 172.16.8.20.
The first data packet analysis unit is used for acquiring a TCP data request packet (automatically acquired by an existing software program) sent by a rotary kiln (with an IP address of 172.16.8.19) to a monitoring device (with an IP address of 172.16.8.20) which is correspondingly connected and available for the monitoring device, analyzing the data request packet to obtain SYN and SEQ, continuing to analyze downwards if SYN =1 and SEQ = X, and setting the state corresponding to the monitoring device as unavailable for an application program if the data request packet does not meet the analysis requirement of the data request packet.
The second data packet analyzing unit is configured to acquire a first data response packet (automatically acquired by an existing software program) sent back to the rotary kiln (172.16.8.19) by a corresponding monitoring device (IP address 172.16.8.20), analyze the first data response packet to obtain SYN, ASK, and SEQ, analyze the first data response packet downward if SYN =1, ACK = X +1, and SEQ = Y, and set a state corresponding to the monitoring device as unavailable to an application program if the first data response packet does not meet an analysis requirement of the first data response packet.
The third data packet analyzing unit is configured to acquire a second data response packet (automatically acquired by an existing software program) sent back to the corresponding monitoring device (172.16.8.20) by the rotary kiln (IP address 172.16.8.19), analyze the second data response packet to obtain SYN, ASK, and SEQ, analyze the second data response packet downward if ACK = Y +1 and SEQ = Z, and set the state corresponding to the monitoring device as unavailable to the application program if the second data response packet does not meet the analysis requirement of the second data response packet.
Finally, the data packet analysis module determines that the status of each monitoring device in the monitoring device list is "device available" or "device unavailable" or "device not connectable" or "device port not connectable" or "application not available".
The shutdown rule determining module is used for setting a shutdown rule of the rotary kiln in a shutdown state, and the shutdown rule can be set according to expert experience. The shutdown rule determining module comprises a kiln rotating speed presetting unit, a high-temperature fan temperature presetting unit and a duration setting unit.
The kiln rotating speed presetting unit is used for setting a kiln rotating speed threshold value of the rotary kiln in a shutdown state, and when the kiln rotating speed of the rotary kiln is lower than 10r/h, the rotary kiln is possibly in the shutdown state. The high-temperature fan temperature presetting unit is used for setting a high-temperature fan temperature threshold value of the rotary kiln in a shutdown state, and when the temperature of the high-temperature fan of the rotary kiln is smaller than 800 ℃, the high-temperature fan temperature presetting unit indicates that the rotary kiln is possibly in the shutdown state. The duration setting unit is used for setting a duration threshold value of the rotary kiln in a shutdown state, and the duration threshold value can be 5 minutes. That is, in this embodiment, when the kiln rotation speed of the rotary kiln is lower than 10r/h, the temperature of the high temperature fan is less than 800 ℃, and the duration is greater than 5 minutes, it is determined that the rotary kiln is currently in a shutdown state.
The starting and stopping judgment module is used for acquiring monitoring data of the monitoring equipment available for the equipment in the monitoring equipment list to the rotary kiln and determining the running state corresponding to the rotary kiln according to the monitoring data and the stopping rule. The starting and stopping judgment module comprises a rotary kiln stopping judgment unit, a rotary kiln operation judgment unit and a rotary kiln off-line judgment unit.
The rotary kiln shutdown judging unit is used for acquiring monitoring data of the monitoring equipment available for the equipment in the monitoring equipment list to the rotary kiln, and when the monitoring data meet the shutdown rule (the rotary kiln rotation speed is lower than 10r/h, the temperature of the high-temperature fan is lower than 800 ℃, and the duration is longer than 5 minutes), judging that the corresponding rotary kiln is in a shutdown state.
The rotary kiln operation judging unit is used for acquiring monitoring data of the monitoring equipment available for the equipment in the monitoring equipment list to the rotary kiln, and when the monitoring data does not meet the shutdown rule (the kiln rotation speed of the rotary kiln is not lower than 10r/h or the temperature of the high-temperature fan is not less than 800 ℃, or the kiln rotation speed of the rotary kiln is lower than 10r/h and the duration of the condition that the temperature of the high-temperature fan is less than 800 ℃ is less than 5 minutes), the rotary kiln is judged to be in the operation state correspondingly.
The rotary kiln offline determination unit is used for determining that a rotary kiln is in an offline state when a monitoring device with a state of being available for the device in the monitoring device list cannot determine whether the rotary kiln is in a shutdown state or in an operating state (for example, the monitoring devices connected with the rotary kiln are all in a state of 'device unavailable' or 'device not connectable' or 'device port not connectable' or 'application program not available').
The utility model provides a rotary kiln starts machine intelligent monitoring system, can add the statistics module through monitoring facilities and add monitoring facilities on with rotary kiln starts the relevant data link of machine monitoring and the network link and add in the monitoring facilities list, can judge the monitoring facilities's in the monitoring facilities list state through sniffing module and data packet analysis module in order to obtain the state as the available monitoring facilities of equipment, can judge the running state of each rotary kiln through the monitoring facilities that the state is available for equipment and the good start-stop rule of presetting, and then the misjudgment rate of rotary kiln running state has effectively been reduced, the accuracy of rotary kiln start-stop state monitoring has been improved.
Example 2: as shown in fig. 1, a rotary kiln start-stop intelligent monitoring method based on sniffing technology comprises the following steps,
l1 adds, through the monitoring device addition statistical module, monitoring devices on a data link and a network link related to the start-stop monitoring of the rotary kiln to a monitoring device list, and each of the monitoring devices is provided with corresponding identification information. Monitoring devices include servers, personal computers, industrial data acquisition gateways, switches, routers, gateways, and the like. The identification information comprises an IP address of the monitoring equipment, a physical address of the monitoring equipment, a network port, an IP address of a gateway to which an IP network segment of the monitoring equipment belongs, an IP address of a router to which the IP network segment of the monitoring equipment belongs, a next hop address of a router to which the IP network segment of the monitoring equipment belongs, a name of the monitoring equipment, a purpose of the monitoring equipment, a process name of the monitoring equipment and a port number of the monitoring equipment.
And the L2 sniffs the monitoring equipment in the monitoring equipment list by adopting a sniffing instruction through a sniffing module according to the identification information so as to determine the state of the monitoring equipment. The sniffing module needs to perform three-layer sniffing in sequence, as shown in fig. 2, the first layer performs data link layer sniffing through a first sniffing unit, the second layer performs network link layer sniffing through a second sniffing unit, and the third layer performs application layer sniffing through a third sniffing unit,
l21 performs data link layer sniffing on the monitoring devices in the monitoring device list through a first sniffing instruction by using a first sniffing unit, and obtains first sniffing information of the monitoring devices; the identification information includes first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be usable, otherwise, the state of the monitoring equipment is set to be unusable. The first sniffing information is a sniffing physical address of the monitoring equipment, which is obtained by the first sniffing unit performing data link layer sniffing on the monitoring equipment, and the first sniffing reference information is a monitoring equipment physical address of the monitoring equipment in the identification information stored in the monitoring equipment list.
Specifically, if the monitoring devices belong to the same network segment, the first sniffing unit initiates sniffing on the monitoring devices in the monitoring device list according to a first sniffing instruction 'arpssiffer monitoring device IP address' to obtain sniffing physical addresses of the monitoring devices; if the monitoring devices do not belong to the same network segment, the first sniffing unit initiates sniffing on the monitoring devices in the monitoring device list according to a first sniffing instruction 'gateway IP address monitoring device IP address to which the IP network segment of the arpsrniffer monitoring device belongs' to obtain sniffing physical addresses of the monitoring devices. The first sniffing unit compares the sniffing physical address of the monitoring equipment with the corresponding physical address of the monitoring equipment in the monitoring equipment list, and when the sniffing physical address of the monitoring equipment is the same as the corresponding physical address of the monitoring equipment in the monitoring equipment list, the state of the corresponding monitoring equipment is set as 'equipment available'; and when the sniffing physical address of the monitoring equipment is different from the corresponding physical address of the monitoring equipment in the monitoring equipment list, setting the state of the corresponding monitoring equipment to be 'equipment unavailable'.
L22 adopts the second to sniff the unit and through the second sniff the instruction pair the state in the monitoring facilities list carries out network link layer for the available monitoring facilities of equipment and sniffs, works as the condition that network connection overtime or unable connection network appears in the monitoring facilities, the second sniffs the unit and will correspond the state of monitoring facilities sets up to equipment is unable to connect.
Specifically, the second sniffing unit sequentially performs network connectivity sniffing on the monitoring devices in the monitoring device list, the states of which are "device available", according to the second sniffing instruction "ping monitoring device IP address", if the connection timeout or the connection failure occurs in the ping, the second sniffing unit changes the states of the corresponding monitoring devices in the monitoring device list into "device unavailable connection", otherwise, the states of the corresponding monitoring devices are still "device available".
L23 adopts the third sniffing unit and carries out application layer sniffing on the monitoring device available for the device in the state in the monitoring device list through the third sniffing instruction, and when the network connection timeout or the network connection failure occurs at the port of the monitoring device, the third sniffing unit sets the state corresponding to the monitoring device as the device port failure.
Specifically, the third sniffing unit sequentially sniffs the network connectivity of the ports of the monitoring devices in the monitoring device list, which are in the state of "device available", according to a third sniffing instruction "telnet monitoring device IP address monitoring device port number", and if the telnet is connected overtime or is not connected, the third sniffing unit changes the state of the corresponding monitoring device in the monitoring device list into "device port is not connected", otherwise, the state of the corresponding monitoring device is still "device available".
Finally, the state of each monitoring device in the monitoring device list is determined to be 'device available' or 'device unavailable' or 'device not connectable' or 'device port not connectable' by the sniffing module.
The L3 obtains a TCP/IP data packet between a monitoring device with a usable device state in a monitoring device list and a rotary kiln correspondingly connected with the monitoring device through a data packet analysis module, analyzes the data packet, and changes the state corresponding to the monitoring device if the data packet does not meet the analysis requirement of the data packet. The packet parsing module, as shown in fig. 3, includes a first packet parsing unit, a second packet parsing unit, and a third packet parsing unit.
For example, the IP address of a certain rotary kiln is 172.16.8.19, the internet access is "eth 10", and the IP address of the monitoring device correspondingly connected to the rotary kiln is 172.16.8.20. Said L3 specifically comprises
The L31 obtains, through a first packet parsing unit, a TCP data request packet (automatically obtained by an existing software program) sent by a rotary kiln (IP address 172.16.8.19) to a monitoring device (IP address 172.16.8.20) connected correspondingly and in a state of being available to the monitoring device, parses the data request packet to obtain SYN and SEQ, continues parsing downward if SYN =1 and SEQ = X, and sets a state corresponding to the monitoring device as unavailable to an application program if the data request packet does not meet a parsing requirement of the data request packet.
The L32 obtains, through the second packet parsing unit, a first packet (automatically obtained by an existing software program) sent back to the rotary kiln (172.16.8.19) by the corresponding monitoring device (IP address 172.16.8.20), parses the first packet, obtains SYN, ASK, and SEQ, and parses the first packet to obtain SYN, ASK, and SEQ, and if SYN =1, ACK = X +1, and SEQ = Y, parses the first packet downward, and if the first packet does not meet the parsing requirement of the first packet, sets the state corresponding to the monitoring device as unavailable to the application program.
The L33 obtains a second data response packet (automatically obtained by an existing software program) sent back to the corresponding monitoring device (IP address 172.16.8.20) by the rotary kiln (IP address 172.16.8.19) through the third packet parsing unit, parses the second data response packet to obtain SYN, ASK, and SEQ, parses the second data response packet downward if ACK = Y +1 and SEQ = Z, and sets the state corresponding to the monitoring device as unavailable to the application program if the second data response packet does not meet the parsing requirement of the second data response packet.
Finally, the data packet analysis module determines that the status of each monitoring device in the monitoring device list is "device available" or "device unavailable" or "device not connectable" or "device port not connectable" or "application not available".
L4 sets the shutdown rule for the rotary kiln in a shutdown state by the shutdown rule determination module. The shutdown rules may be set based on expert experience. The shutdown rule determining module comprises a kiln rotating speed presetting unit, a high-temperature fan temperature presetting unit and a duration setting unit.
The L4 specifically includes that L41 sets a kiln rotation speed threshold value of the rotary kiln in a shutdown state through a kiln rotation speed preset unit, and when the kiln rotation speed of the rotary kiln is lower than 10r/h, it indicates that the rotary kiln is possibly in the shutdown state. L42 sets the high temperature fan temperature threshold value of the rotary kiln in the shutdown state through the high temperature fan temperature presetting unit, when the high temperature fan temperature of the rotary kiln is less than 800 ℃, the high temperature fan temperature indicates that the rotary kiln is possibly in the shutdown state. L43 sets a duration threshold, which may be 5 minutes, for the rotary kiln to be in a shutdown state by the duration setting unit. That is, in this embodiment, when the kiln rotation speed of the rotary kiln is lower than 10r/h, the temperature of the high temperature fan is lower than 800 ℃, and the duration is longer than 5 minutes, it is determined that the rotary kiln is currently in a shutdown state.
L5 obtains the monitoring data of the monitoring equipment available for the equipment in the monitoring equipment list to the rotary kiln through the start-stop judging module, and determines the running state corresponding to the rotary kiln according to the monitoring data and the stop rule. The starting and stopping judgment module comprises a rotary kiln stopping judgment unit, a rotary kiln operation judgment unit and a rotary kiln off-line judgment unit.
The L5 specifically includes that L51 acquires monitoring data of a monitoring device available for the monitoring device in a monitoring device list to the rotary kiln through a rotary kiln shutdown determination unit, and when the monitoring data meets the shutdown rule (the rotary kiln has a kiln rotation speed of less than 10r/h, a high-temperature fan temperature of less than 800 ℃, and a duration of more than 5 minutes), it is determined that the corresponding rotary kiln is in a shutdown state. L52 obtains monitoring data of monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln through a rotary kiln operation judging unit, and when the monitoring data does not meet the shutdown rule (the kiln rotation speed of the rotary kiln is not lower than 10r/h or the temperature of a high-temperature fan is not less than 800 ℃, or the kiln rotation speed of the rotary kiln is lower than 10r/h and the duration of the condition that the temperature of the high-temperature fan is less than 800 ℃ is less than 5 minutes), the corresponding rotary kiln is judged to be in the operation state. L53 determines that a rotary kiln is in an offline state when it cannot be determined whether a rotary kiln is in a shutdown state or in an operating state by monitoring devices in a monitoring device list whose states are available for devices (for example, monitoring devices connected to the rotary kiln are all in a state of "device unavailable" or "device not connectable" or "device port not connectable" or "application not available").
The intelligent monitoring method for the rotary kiln start-stop state can add the monitoring equipment on the data link and the network link related to the rotary kiln start-stop monitoring into the monitoring equipment list through the monitoring equipment addition statistical module, can judge the state of the monitoring equipment in the monitoring equipment list through the sniffing module and the data packet analysis module so as to obtain the monitoring equipment with the state available for the equipment, can judge the running state of each rotary kiln through the monitoring equipment with the state available for the equipment and the preset start-stop rule, further effectively reduces the misjudgment rate of the running state of the rotary kiln, and improves the monitoring accuracy of the rotary kiln start-stop state.
The above-described embodiments are merely illustrative of the preferred embodiments of the present application and do not limit the spirit and scope of the present application. Various modifications and improvements of the technical solutions of the present application made by those skilled in the art without departing from the design concept of the present application shall fall within the protection scope of the present application, and the technical contents of the present application that are claimed are all described in the claims.
Claims (10)
1. The utility model provides a rotary kiln opens and shuts down intelligent monitoring system based on sniffing technique which characterized in that: comprises that
The monitoring equipment adding statistical module is used for adding monitoring equipment on a data link and a network link related to the starting and stopping monitoring of the rotary kiln into a monitoring equipment list, and each monitoring equipment is provided with corresponding identification information;
the sniffing module is used for sniffing the monitoring equipment in the monitoring equipment list through a sniffing instruction according to the identification information so as to determine the state of the monitoring equipment;
the data packet analysis module is used for acquiring a data packet between monitoring equipment with a state available for the equipment and a rotary kiln correspondingly connected with the monitoring equipment in a monitoring equipment list, analyzing the data packet, and if the data packet does not meet the analysis requirement of the data packet, changing the state corresponding to the monitoring equipment;
the shutdown rule determining module is used for setting a shutdown rule of the rotary kiln in a shutdown state;
and the starting and stopping judgment module is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln and determining the running state corresponding to the rotary kiln according to the monitoring data and the stopping rule.
2. The rotary kiln start-stop intelligent monitoring system based on sniffing technology as claimed in claim 1, characterized in that: the sniffing module comprises
The first sniffing unit is used for carrying out data link layer sniffing on the monitoring equipment in the monitoring equipment list through a first sniffing instruction and acquiring first sniffing information of the monitoring equipment; the identification information includes first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be usable, otherwise, the state of the monitoring equipment is set to be unusable;
the second sniffing unit is used for carrying out network link layer sniffing on the monitoring equipment with the state of equipment available in the monitoring equipment list through a second sniffing instruction, and when the network connection of the monitoring equipment is overtime or the network connection of the monitoring equipment is unavailable, the second sniffing unit sets the state corresponding to the monitoring equipment as the equipment unavailable connection;
and the third sniffing unit is used for carrying out application layer sniffing on the monitoring equipment with the state in the monitoring equipment list available for the equipment through a third sniffing instruction, and when the condition that the network connection is overtime or the network cannot be connected occurs to the port of the monitoring equipment, the third sniffing unit sets the state of the corresponding monitoring equipment into the condition that the equipment port cannot be connected.
3. The intelligent monitoring system for startup and shutdown of rotary kiln based on sniffing technology as claimed in claim 2, characterized in that: the data packet analysis module comprises
The first data packet analysis unit is used for acquiring a data request packet which is sent by the rotary kiln to monitoring equipment which is correspondingly connected and available for the equipment, analyzing the data request packet, and if the data request packet does not meet the analysis requirement of the data request packet, setting the state corresponding to the monitoring equipment as unavailable for an application program;
the second data packet analysis unit is used for acquiring a first data response packet sent back to the rotary kiln by the corresponding monitoring equipment and analyzing the first data response packet, and if the first data response packet does not meet the analysis requirement of the first data response packet, the state corresponding to the monitoring equipment is set as that the application program is unavailable;
and the third data packet analysis unit is used for acquiring a second data response packet which is sent back to the corresponding monitoring equipment by the rotary kiln, analyzing the second data response packet, and setting the state corresponding to the monitoring equipment as unavailable for the application program if the second data response packet does not meet the analysis requirement of the second data response packet.
4. The rotary kiln start-stop intelligent monitoring system based on sniffing technology as claimed in claim 3, characterized in that: the shutdown rule determination module comprises
The kiln rotating speed presetting unit is used for setting a kiln rotating speed threshold value of the rotary kiln in a shutdown state;
the high-temperature fan temperature presetting unit is used for setting a high-temperature fan temperature threshold value of the rotary kiln in a shutdown state;
and the duration setting unit is used for setting a duration threshold value of the rotary kiln in a shutdown state.
5. The rotary kiln start-stop intelligent monitoring system based on sniffing technology as claimed in claim 4, characterized in that: the start-stop judging module comprises
The rotary kiln shutdown judging unit is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln, and judging that the corresponding rotary kiln is in a shutdown state when the monitoring data meets the shutdown rule;
the rotary kiln operation judging unit is used for acquiring monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln, and judging that the corresponding rotary kiln is in an operation state when the monitoring data does not meet the shutdown rule;
and the rotary kiln offline judging unit judges that the rotary kiln is in an offline state when the rotary kiln is neither in a shutdown state nor in an operating state.
6. A rotary kiln start and stop intelligent monitoring method based on sniffing technology is characterized in that: comprises the following steps of (a) carrying out,
l1 adds the monitoring equipment on the data link and network link related to the start-stop monitoring of the rotary kiln into a monitoring equipment list through a monitoring equipment adding statistical module, and each monitoring equipment is provided with corresponding identification information;
l2 sniffs, by a sniffing module, the monitoring devices in the monitoring device list by using a sniffing instruction according to the identification information to determine the states of the monitoring devices;
l3 obtains a data packet between a monitoring device with a usable device state in a monitoring device list and a rotary kiln correspondingly connected with the monitoring device through a data packet analysis module, analyzes the data packet, and changes the state of the corresponding monitoring device if the data packet does not meet the analysis requirement of the data packet;
l4 sets the shutdown rule of the rotary kiln in a shutdown state through the shutdown rule determination module;
and L5 acquires the monitoring data of the monitoring equipment available for equipment in the monitoring equipment list to the rotary kiln through a start-stop judgment module, and determines the running state corresponding to the rotary kiln according to the monitoring data and the stop rule.
7. The intelligent monitoring method for startup and shutdown of the rotary kiln based on the sniffing technology as recited in claim 6, wherein: said L2 specifically comprises
L21 performs data link layer sniffing on the monitoring devices in the monitoring device list through a first sniffing instruction by using a first sniffing unit, and obtains first sniffing information of the monitoring devices; the identification information includes first sniff reference information; when the first sniffing information of the monitoring equipment is the same as the first sniffing reference information corresponding to the monitoring equipment, the first sniffing unit sets the state of the monitoring equipment to be available, otherwise, sets the state of the monitoring equipment to be unavailable;
l22 performs network link layer sniffing on the monitoring device in the monitoring device list in a state of being available for the device by using a second sniffing unit and through a second sniffing instruction, and when the network connection of the monitoring device is overtime or the monitoring device cannot be connected to the network, the second sniffing unit sets the state corresponding to the monitoring device as the device cannot be connected;
l23 adopts the third sniffing unit and carries out application layer sniffing on the monitoring device available for the device in the state in the monitoring device list through the third sniffing instruction, and when the network connection timeout or the network connection failure occurs at the port of the monitoring device, the third sniffing unit sets the state corresponding to the monitoring device as the device port failure.
8. The intelligent monitoring method for startup and shutdown of the rotary kiln based on the sniffing technology as recited in claim 7, wherein: said L3 specifically comprises
The method comprises the steps that L31 a first data packet analysis unit obtains a data request packet which is sent by a rotary kiln to monitoring equipment which is correspondingly connected and available in the state of the equipment, analyzes the data request packet, and if the data request packet does not meet the analysis requirement of the data request packet, the state corresponding to the monitoring equipment is set as unavailable for an application program;
the method comprises the steps that L32 acquires a first data response packet sent back to the rotary kiln by corresponding monitoring equipment through a second data packet analysis unit, analyzes the first data response packet, and sets the state corresponding to the monitoring equipment as unavailable for an application program if the first data response packet does not meet the analysis requirement of the first data response packet;
and the L33 acquires a second data response packet sent back to the corresponding monitoring equipment by the rotary kiln through a third data packet analysis unit, analyzes the second data response packet, and sets the state corresponding to the monitoring equipment as unavailable for the application program if the second data response packet does not meet the analysis requirement of the second data response packet.
9. The intelligent monitoring method for startup and shutdown of the rotary kiln based on the sniffing technology as recited in claim 8, wherein: said L4 specifically comprises
L41 sets the kiln rotational speed threshold value of the rotary kiln in a shutdown state through a kiln rotational speed presetting unit;
l42 sets the temperature threshold of the high temperature fan when the rotary kiln is in a shutdown state through the high temperature fan temperature presetting unit;
l43 sets the duration threshold value for the rotary kiln being in the shutdown state by the duration setting unit.
10. The intelligent monitoring method for startup and shutdown of the rotary kiln based on the sniffing technology as recited in claim 9, wherein: said L5 specifically comprises
L51 acquires monitoring data of monitoring equipment available for equipment in a monitoring equipment list to the rotary kiln through a rotary kiln shutdown judging unit, and judges that the corresponding rotary kiln is in a shutdown state when the monitoring data meets the shutdown rule;
l52 acquires monitoring data of available monitoring equipment in a monitoring equipment list to the rotary kiln through a rotary kiln operation judging unit, and judges that the corresponding rotary kiln is in an operation state when the monitoring data does not meet the shutdown rule;
l53 determines that the rotary kiln is in the off-line state by the rotary kiln off-line determination unit when the rotary kiln is neither in the stopped state nor in the operating state.
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