CN117032144B - Equipment supervision system and method based on environment data - Google Patents
Equipment supervision system and method based on environment data Download PDFInfo
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- CN117032144B CN117032144B CN202311160137.9A CN202311160137A CN117032144B CN 117032144 B CN117032144 B CN 117032144B CN 202311160137 A CN202311160137 A CN 202311160137A CN 117032144 B CN117032144 B CN 117032144B
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/4183—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by data acquisition, e.g. workpiece identification
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/31—From computer integrated manufacturing till monitoring
- G05B2219/31282—Data acquisition, BDE MDE
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Abstract
The invention relates to the technical field of big data, in particular to an equipment supervision system and method based on environmental data, wherein the system comprises an equipment running state preprocessing module, an equipment state influence analysis module, an equipment firmware additional influence analysis module and an equipment working state monitoring and early warning module, wherein the equipment firmware additional influence analysis module is used for analyzing the influence of the stability of related firmware of main control equipment in an equipment room on the propagation range of a vibration sound source based on the heat dissipation change trend of the main control equipment in the equipment room to be monitored.
Description
Technical Field
The invention relates to the technical field of big data, in particular to an equipment supervision system and method based on environmental data.
Background
In recent years, along with the development of industrial production, an electronic information system machine room is taken as the basis of all information systems of an information hub center, safe and reliable operation of the system machine room is guaranteed, and at the present stage, the stable operation of the machine room is particularly critical, besides ensuring the high performance of software and hardware of a computer system, the stable and safe operation of the environment facilities of the machine room is also required, and how to ensure the normal operation of equipment under different environment factors is also required, so that the real-time adjustment of the operation state of the equipment is particularly important for reducing the occurrence of environmental accidents of the machine room and ensuring the stability, high availability and high efficiency of the machine room.
The existing machine room environment adjusting mode mainly carries out data statistics and timing inspection on sensors arranged at all positions of a machine room by manpower, but because the probability of missing data acquired by manpower and the occurrence of safety management errors is relatively high, huge risks are brought to the stable operation of all equipment in the machine room, the heat dissipation of main control equipment is mainly processed in the prior art, the influence of vibration generated when the heat dissipation movement of a heat dissipation device changes on the equipment in the machine room is not considered, and therefore, the establishment of an equipment supervision system and an equipment supervision method based on environment data are required, and have great significance in solving the problems.
Disclosure of Invention
The invention aims to provide a device supervision system and a method based on environmental data, which are used for solving the problems in the background technology, and the invention provides the following technical scheme:
a method of device supervision based on environmental data, the method comprising the steps of:
S1, acquiring an operation state monitoring report of an equipment room in an area to be monitored through historical data, and analyzing vibration conditions generated under a rated working state of main control equipment in the equipment room in the area to be monitored and a transmission initial range of a vibration sound source according to the operation state monitoring report, wherein the transmission initial range of the vibration sound source represents a fluctuation range interval corresponding to vibration generated when a heat dissipation device of the main control equipment works;
S2, acquiring the environment of an equipment room in the area to be monitored through historical data, analyzing the influence of the heat dissipation movement change condition of the main control equipment in the equipment room on the propagation range of the vibration sound source according to the environment condition of the equipment in the area to be monitored, and calibrating the propagation initial range of the vibration sound source by combining the analysis result;
S3, calculating the stability of corresponding firmware of equipment in the equipment room, which is associated with the main control equipment, based on the heat radiation movement change condition of the main control equipment in the equipment room in the area to be monitored, and analyzing the influence of the stability of the firmware of the associated equipment on the calibrated vibration sound source transmission range by combining the calculation result;
And S4, monitoring the working states of all the devices in the current device machine room in real time, generating an early warning condition value by combining the analysis result in the S3, and implementing corresponding emergency measures according to the early warning condition value.
Further, the method in S1 includes the following steps:
Step 1001, obtaining maximum values of sound source propagation distances corresponding to different time nodes in an n-th day of a monitoring report of the operation state of main control equipment in an equipment room in an area to be monitored through historical data,
A first plane rectangular coordinate system is constructed by taking the position of the main control equipment as a reference point and taking the reference point as an origin, the distance between the maximum value of the sound source propagation distance corresponding to the vibration generated by the main control equipment in different time nodes when the main control equipment operates in the first plane rectangular coordinate system is recorded as D,
Wherein x a represents an abscissa value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node, and y a represents an ordinate value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node;
Step 1002, a circulation step 1001 obtains a sound source propagation fluctuation range interval corresponding to different time nodes in an n-th day in a device room master control device operation state monitoring report in a region to be monitored, marks the minimum value in the corresponding sound source propagation fluctuation range interval as minD, marks the maximum value in the corresponding sound source propagation fluctuation range interval as maxD, takes the position of the master control device as an origin in a first plane rectangular coordinate system, takes the minD as an inner circle radius, takes the maxD as an outer circle radius, and builds a circular ring as a propagation range of a vibration sound source.
According to the method, the propagation distance of the corresponding vibration sound source generated when the main control equipment operates in each time node in each day in the main control equipment operation state monitoring report of the equipment machine room in the area to be monitored is obtained through historical data, the main control equipment is taken as the center, the maximum value of the propagation distance of the corresponding vibration sound source generated when the main control equipment operates in different time nodes in the same day is taken as the outer circle radius, the minimum value of the propagation distance of the corresponding vibration sound source generated when the main control equipment operates in different time nodes in the same day is taken as the inner circle radius, the circular ring is the propagation range of the vibration sound source, the propagation range of the initial vibration sound source is set, and data reference is provided for analyzing the influence of environmental factors on equipment in real time and calibrating the propagation range of the vibration sound source.
Further, the method in S2 includes the following steps:
Step 2001, acquiring an environmental data monitoring report of the equipment room in the area to be monitored through historical data, and extracting environmental temperature values of the equipment room in different time nodes and hardware temperature values of the main control equipment in corresponding time nodes in the environmental data monitoring report;
In step 2002, a second plane rectangular coordinate system is constructed by taking a point o1 as an origin, taking a time node as an x1 axis and taking a temperature value as a y1 axis, marking the environmental temperature values of equipment rooms in different time nodes in an nth day and coordinate points corresponding to the hardware temperature value difference value of main control equipment in the time node in the second plane rectangular coordinate system, sequentially connecting two adjacent coordinate points to generate a temperature change line graph, combining the two adjacent coordinate points in the temperature change line graph, sequentially calculating the slope of a line segment formed by each adjacent point, and marking the slope as K b,
Wherein b represents the number of line segments formed by adjacent points in the temperature change line graph, y1 b represents the ordinate value of the b coordinate point in the temperature change line graph, and x1 b represents the abscissa value of the b coordinate point in the temperature change line graph;
step 2003, analyzing the working state of a heat dissipating device of a main control device in a device room in a region to be monitored by combining the temperature change line graph in step 2002, calibrating the propagation range of a vibration sound source by combining the analysis result, marking the calibrated inner circle radius as minD *, marking the calibrated outer circle radius as maxD *,
In the first plane rectangular coordinate system, the position of the main control equipment is used as an origin, the minD * is used as an inner circle radius, the maxD * is used as an outer circle radius to construct a circular ring, and the constructed circular ring is used as a propagation range of the calibrated vibration sound source, wherein when the operation power of the heat dissipation device of the main control equipment is increased, the generated vibration amplitude is increased, and the propagation range of the vibration sound source is further enlarged.
According to the method, the environmental data monitoring report of the equipment room in the area to be monitored is obtained through historical data, the heat dissipation condition of the main control equipment is judged by combining the difference value of the hardware temperature and the room temperature of the main control equipment in the equipment room, the propagation range of the vibration sound source is calibrated in real time according to the analysis result, and data reference is provided for the stability of firmware related to equipment related to the main control equipment in the equipment room for analyzing the heat dissipation variation trend of the equipment combined with the main control equipment.
Further, the method in S3 includes the following steps:
Step 3001, obtaining a heat dissipation variation trend of the master control equipment in the area to be monitored based on the analysis result in step S2, analyzing the stability of corresponding firmware of equipment associated with the master control equipment in the equipment room in combination with the heat dissipation variation trend of the master control equipment,
Constructing a third plane rectangular coordinate system by taking a point o2 as an origin, taking a time node as an x2 axis and the vibration frequency as a y2 axis, marking coordinate points of vibration frequencies of firmware related to equipment related to main control equipment in each time node in an nth day in an equipment room in the third plane rectangular coordinate system, sequentially connecting two adjacent coordinate points to generate a fitting curve, marking the fitting curve as N (x 2), and monitoring the vibration frequencies in real time by a vibration analyzer;
Step 3002, combining the analysis result of step 3001, recording the stability of different firmware of the device associated with the existence of the master control device in the device room, and recording the stability of the c-th firmware of the device associated with the existence of the master control device in the device room as the stability of the c-th firmware of the device associated with the existence of the master control device
D represents the number of time nodes, B represents the standard stability of equipment-related firmware which is associated with main control equipment in an equipment room, and the standard stability is a database preset value;
step 3003, looping step 3002 to obtain the stability of each relevant firmware of the device associated with the main control device in the device room, calculating the influence condition of the propagation range of the vibration sound source based on the stability of each relevant firmware, and recording the influence condition of the stability of the c-th firmware on the propagation range of the vibration sound source as
Wherein ω represents a scaling factor, which is a database preset value,Representing a threshold value, wherein the threshold value is a database preset value,/>An abscissa value representing the nth day of the c-th firmware in the third plane rectangular coordinate system,/>And the ordinate value representing the nth day of the c-th firmware in the third plane rectangular coordinate system.
According to the method, the stability of the firmware related to the related equipment is further judged by analyzing the environmental factors and the influence condition of vibration changes generated by heat dissipation of the main control equipment on the firmware of the related equipment, and whether the current vibration sound source transmission range has abnormal conditions or not is analyzed by combining the judging result, so that data reference is provided for generating early warning condition values by combining the judging result subsequently.
Further, the method in S4 includes the following steps:
step 4001, monitoring the working state of each device in the current device machine room in real time, setting the early warning condition value by monitoring the change condition of the propagation range of the vibration sound source,
When (when)The external propagation range of the vibration sound source is enlarged, an early warning signal is sent,
When (when)The internal propagation range of the vibration sound source is enlarged, and an early warning signal is sent;
step 4002, collecting early warning signals in real time based on the current equipment early warning signal receiving device, combining the stability of firmware and the influence condition of the firmware on the propagation range of the vibration sound source to rapidly locate a fault area, and notifying related staff to carry out firmware overhaul.
According to the invention, the working states of all devices in the current device machine room are monitored in real time, the early warning condition value is set by monitoring the change condition of the propagation range of the vibration sound source, the early warning signal is collected in real time based on the current device early warning signal receiving device, the fault area is rapidly positioned by combining the stability of the firmware and the influence condition of the firmware on the propagation range of the vibration sound source, and related staff is notified to carry out firmware overhaul.
A device supervisory system based on environmental data, the system comprising the following modules:
The equipment running state preprocessing module is used for: the equipment operation state preprocessing module is used for acquiring an operation state monitoring report of the equipment room in the area to be monitored through historical data, and analyzing vibration conditions generated under the rated working state of main control equipment in the equipment room in the area to be monitored and the initial transmission range of a vibration sound source according to the operation state monitoring report;
The environmental data influences the analysis module on the state of the equipment: the environmental data-to-equipment state influence analysis module is used for acquiring the environment of the equipment room in the area to be monitored through historical data, analyzing the influence of the heat dissipation movement change condition of the main control equipment in the equipment room on the propagation range of the vibration sound source according to the environment condition of the equipment in the area to be monitored, and calibrating the propagation initial range of the vibration sound source by combining the analysis result;
Device firmware additional impact analysis module: the device firmware additional influence analysis module calculates the stability of corresponding firmware of equipment in the device machine room, which is associated with the main control equipment, based on the heat radiation movement change condition of the main control equipment in the device machine room in the area to be monitored, and analyzes the influence of the stability of the firmware of the associated equipment on the calibrated vibration sound source transmission range by combining the calculation result;
The equipment working state monitoring and early warning module: the equipment working state monitoring and early warning module is used for monitoring the working state of each piece of equipment in the current equipment room in real time, generating an early warning condition value by combining the analysis result of the equipment firmware additional influence analysis module, and implementing corresponding emergency measures according to the early warning condition value.
Further, the device running state preprocessing module comprises a data acquisition unit and a vibration range initializing unit:
The data acquisition unit is used for acquiring a monitoring report of the running state of the main control equipment of the equipment room in the area to be monitored through historical data, and extracting the propagation distance of a sound source corresponding to vibration generated when the main control equipment runs in different time nodes in each day in the monitoring report;
The vibration range initializing unit is used for combining the analysis result of the data acquisition unit, constructing a propagation range of the vibration sound source by taking the main control equipment as the center, and taking the constructed propagation range of the vibration sound source as an initial value.
Further, the environmental data impact analysis module for equipment state includes a heat dissipation rate calculation unit and a propagation range calibration unit:
the heat dissipation rate calculation unit is used for obtaining an environmental data monitoring report of the equipment room in the area to be monitored through historical data, extracting environmental temperature values in different time nodes and hardware temperature values of the main control equipment in corresponding time nodes in the environmental data monitoring report, and judging heat dissipation conditions of the corresponding equipment through difference value calculation;
The propagation range calibration unit is used for carrying out real-time calibration on the propagation range of the vibration sound source by combining the analysis result of the heat dissipation rate calculation unit.
Further, the device firmware additional influence analysis module comprises an associated device firmware stability analysis unit and an influence analysis unit:
The related equipment firmware stability analysis unit is used for acquiring the heat dissipation change trend of the main control equipment in the area to be monitored in the analysis result of the heat dissipation rate calculation unit, and analyzing the related firmware stability of the related equipment of the main control equipment in the equipment room by combining the heat dissipation change trend of the main control equipment;
the influence analysis unit is used for calculating the influence condition of the corresponding firmware stability on the propagation range of the vibration sound source according to the analysis result of the related equipment firmware stability analysis unit.
Further, the equipment working state monitoring and early warning module comprises an early warning condition value generating unit and an early warning signal processing unit:
The early warning condition value generation unit is used for generating an early warning condition value by combining the analysis result of the influence analysis unit;
the early warning signal processing unit is used for receiving the analysis result of the early warning condition value generating unit, rapidly positioning a fault area according to the early warning condition value and notifying relevant staff to carry out firmware overhaul.
According to the invention, the running state of the main control equipment in the equipment room is analyzed, the influence of environmental factors on the vibration generated by heat dissipation of the main control equipment is analyzed, the stability of the related equipment firmware is analyzed, the stability and the comprehensive analysis of the propagation range of the vibration sound source are combined, so that the running state of the equipment in the current equipment room can be monitored in real time, the equipment state is monitored in real time according to the change trend of the propagation range of the vibration sound source, and the harm caused by abnormal operation of the equipment is reduced.
Drawings
FIG. 1 is a flow diagram of a method of device supervision based on environmental data in accordance with the present invention;
fig. 2 is a schematic block diagram of a device supervisory system based on environmental data according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, in this embodiment:
a method of device supervision based on environmental data, the method comprising the steps of:
S1, acquiring an operation state monitoring report of an equipment room in an area to be monitored through historical data, and analyzing vibration conditions generated under a rated working state of main control equipment in the equipment room in the area to be monitored and the initial transmission range of a vibration sound source according to the operation state monitoring report;
The method in S1 comprises the following steps:
Step 1001, obtaining maximum values of sound source propagation distances corresponding to different time nodes in an n-th day of a monitoring report of the operation state of main control equipment in an equipment room in an area to be monitored through historical data,
A first plane rectangular coordinate system is constructed by taking the position of the main control equipment as a reference point and taking the reference point as an origin, the distance between the maximum value of the sound source propagation distance corresponding to the vibration generated by the main control equipment in different time nodes when the main control equipment operates in the first plane rectangular coordinate system is recorded as D,
Wherein x a represents an abscissa value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node, and y a represents an ordinate value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node;
Step 1002, a circulation step 1001 obtains a sound source propagation fluctuation range interval corresponding to different time nodes in an n-th day in a device room master control device operation state monitoring report in a region to be monitored, marks the minimum value in the corresponding sound source propagation fluctuation range interval as minD, marks the maximum value in the corresponding sound source propagation fluctuation range interval as maxD, takes the position of the master control device as an origin in a first plane rectangular coordinate system, takes the minD as an inner circle radius, takes the maxD as an outer circle radius, and builds a circular ring as a propagation range of a vibration sound source.
S2, acquiring the environment of an equipment room in the area to be monitored through historical data, analyzing the influence of the heat dissipation movement change condition of the main control equipment in the equipment room on the propagation range of the vibration sound source according to the environment condition of the equipment in the area to be monitored, and calibrating the propagation initial range of the vibration sound source by combining the analysis result;
the method in S2 comprises the steps of:
Step 2001, acquiring an environmental data monitoring report of the equipment room in the area to be monitored through historical data, and extracting environmental temperature values of the equipment room in different time nodes and hardware temperature values of the main control equipment in corresponding time nodes in the environmental data monitoring report;
In step 2002, a second plane rectangular coordinate system is constructed by taking a point o1 as an origin, taking a time node as an x1 axis and taking a temperature value as a y1 axis, marking the environmental temperature values of equipment rooms in different time nodes in an nth day and coordinate points corresponding to the hardware temperature value difference value of main control equipment in the time node in the second plane rectangular coordinate system, sequentially connecting two adjacent coordinate points to generate a temperature change line graph, combining the two adjacent coordinate points in the temperature change line graph, sequentially calculating the slope of a line segment formed by each adjacent point, and marking the slope as K b,
Wherein b represents the number of line segments formed by adjacent points in the temperature change line graph, y1 b represents the ordinate value of the b coordinate point in the temperature change line graph, and x1 b represents the abscissa value of the b coordinate point in the temperature change line graph;
step 2003, analyzing the working state of a heat dissipating device of a main control device in a device room in a region to be monitored by combining the temperature change line graph in step 2002, calibrating the propagation range of a vibration sound source by combining the analysis result, marking the calibrated inner circle radius as minD *, marking the calibrated outer circle radius as maxD *,
And constructing a circular ring by taking the position of the main control equipment as an origin, taking the minD * as the inner circle radius and taking the maxD * as the outer circle radius in the first plane rectangular coordinate system, and taking the constructed circular ring as the propagation range of the calibrated vibration sound source.
S3, calculating the stability of corresponding firmware of equipment in the equipment room, which is associated with the main control equipment, based on the heat radiation movement change condition of the main control equipment in the equipment room in the area to be monitored, and analyzing the influence of the stability of the firmware of the associated equipment on the calibrated vibration sound source transmission range by combining the calculation result;
the method in S3 comprises the following steps:
Step 3001, obtaining a heat dissipation variation trend of the master control equipment in the area to be monitored based on the analysis result in step S2, analyzing the stability of corresponding firmware of equipment associated with the master control equipment in the equipment room in combination with the heat dissipation variation trend of the master control equipment,
Constructing a third plane rectangular coordinate system by taking a point o2 as an origin, taking a time node as an x2 axis and the vibration frequency as a y2 axis, marking coordinate points of vibration frequencies of firmware related to equipment related to main control equipment in each time node in an nth day of an equipment room in the third plane rectangular coordinate system, sequentially connecting two adjacent coordinate points, and generating a fitting curve which is marked as N (x 2);
Step 3002, combining the analysis result of step 3001, recording the stability of different firmware of the device associated with the existence of the master control device in the device room, and recording the stability of the c-th firmware of the device associated with the existence of the master control device in the device room as the stability of the c-th firmware of the device associated with the existence of the master control device
D represents the number of time nodes, B represents the standard stability of equipment-related firmware which is associated with main control equipment in an equipment room, and the standard stability is a database preset value;
step 3003, looping step 3002 to obtain the stability of each relevant firmware of the device associated with the main control device in the device room, calculating the influence condition of the propagation range of the vibration sound source based on the stability of each relevant firmware, and recording the influence condition of the stability of the c-th firmware on the propagation range of the vibration sound source as
Wherein ω represents a scaling factor, which is a database preset value,Representing a threshold value, wherein the threshold value is a database preset value,/>An abscissa value representing the nth day of the c-th firmware in the third plane rectangular coordinate system,/>And the ordinate value representing the nth day of the c-th firmware in the third plane rectangular coordinate system.
And S4, monitoring the working states of all the devices in the current device machine room in real time, generating an early warning condition value by combining the analysis result in the S3, and implementing corresponding emergency measures according to the early warning condition value.
The method in S4 includes the steps of:
step 4001, monitoring the working state of each device in the current device machine room in real time, setting the early warning condition value by monitoring the change condition of the propagation range of the vibration sound source,
When (when)The external propagation range of the vibration sound source is enlarged, an early warning signal is sent,
When (when)The internal propagation range of the vibration sound source is enlarged, and an early warning signal is sent;
step 4002, collecting early warning signals in real time based on the current equipment early warning signal receiving device, combining the stability of firmware and the influence condition of the firmware on the propagation range of the vibration sound source to rapidly locate a fault area, and notifying related staff to carry out firmware overhaul.
In this embodiment: an apparatus supervision method based on environment data (as shown in fig. 2) is disclosed, and the system is used for realizing specific scheme content of the method.
Example 2: setting the initial interval of the corresponding sound source propagation fluctuation range of the heat dissipating device corresponding to the main control equipment of the equipment room in the area to be monitored as A,
Wherein the main control equipment is connected with the equipment B, the equipment B is connected with the equipment C, the main control equipment is connected with the equipment B through a firmware a, the equipment B is connected with the equipment C through a firmware B, when the main control equipment works in a rated state, the running power of a heat dissipation device of the main control equipment is constant, the vibration frequencies of different time nodes of the firmware a are marked in a plane rectangular coordinate system to generate a fitting curve, the fitting curve is marked as N a (x), the vibration frequencies of different time nodes of the firmware B are marked in the plane rectangular coordinate system to generate a fitting curve, the fitting curve is marked as N b (x),
The stability of firmware a and firmware b is calculated and respectively recorded asAnd/>
The influence condition of the stability of the a-th firmware on the propagation range of the vibration sound source is obtained by combining the calculation resultThe influence of the stability of the b-th firmware on the propagation range of the vibration sound source is/>
When (when)When the method is used, the internal propagation range of the vibration sound source is enlarged, an early warning signal is sent,
When (when)The external propagation range of the vibration sound source is enlarged, and an early warning signal is sent.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (4)
1. A method of device supervision based on environmental data, the method comprising the steps of:
S1, acquiring an operation state monitoring report of an equipment room in an area to be monitored through historical data, and analyzing vibration conditions generated under a rated working state of main control equipment in the equipment room in the area to be monitored and the initial transmission range of a vibration sound source according to the operation state monitoring report;
Step 1001, obtaining maximum values of sound source propagation distances corresponding to different time nodes in an n-th day of a monitoring report of the operation state of main control equipment in an equipment room in an area to be monitored through historical data,
A first plane rectangular coordinate system is constructed by taking the position of the main control equipment as a reference point and taking the reference point as an origin, the distance between the maximum value of the sound source propagation distance corresponding to the vibration generated by the main control equipment in different time nodes when the main control equipment operates in the first plane rectangular coordinate system is recorded as D,
Wherein x a represents an abscissa value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node, and y a represents an ordinate value of a coordinate point corresponding to a maximum value of a propagation distance of a vibration sound source when the main control equipment operates in the a-th time node;
Step 1002, a circulation step 1001 obtains a sound source propagation fluctuation range interval corresponding to different time nodes in an n-th day in a device room master control device operation state monitoring report in a region to be monitored, marks the minimum value in the corresponding sound source propagation fluctuation range interval as minD, marks the maximum value in the corresponding sound source propagation fluctuation range interval as maxD, takes the position of the master control device as an origin in a first plane rectangular coordinate system, takes the minD as an inner circle radius, takes the maxD as an outer circle radius, and takes the constructed circular ring as a propagation range of a vibration sound source;
S2, acquiring the environment of an equipment room in the area to be monitored through historical data, analyzing the influence of the heat dissipation movement change condition of the main control equipment in the equipment room on the propagation range of the vibration sound source according to the environment condition of the equipment in the area to be monitored, and calibrating the propagation initial range of the vibration sound source by combining the analysis result;
Step 2001, acquiring an environmental data monitoring report of the equipment room in the area to be monitored through historical data, and extracting environmental temperature values of the equipment room in different time nodes and hardware temperature values of the main control equipment in corresponding time nodes in the environmental data monitoring report;
In step 2002, a second plane rectangular coordinate system is constructed by taking a point o1 as an origin, taking a time node as an x1 axis and taking a temperature value as a y1 axis, marking the environmental temperature values of equipment rooms in different time nodes in an nth day and coordinate points corresponding to the hardware temperature value difference value of main control equipment in the time node in the second plane rectangular coordinate system, sequentially connecting two adjacent coordinate points to generate a temperature change line graph, combining the two adjacent coordinate points in the temperature change line graph, sequentially calculating the slope of a line segment formed by each adjacent point, and marking the slope as K b,
Wherein b represents the number of line segments formed by adjacent points in the temperature change line graph, y1 b represents the ordinate value of the b coordinate point in the temperature change line graph, and x1 b represents the abscissa value of the b coordinate point in the temperature change line graph;
step 2003, analyzing the working state of a heat dissipating device of a main control device in a device room in a region to be monitored by combining the temperature change line graph in step 2002, calibrating the propagation range of a vibration sound source by combining the analysis result, marking the calibrated inner circle radius as minD *, marking the calibrated outer circle radius as maxD *,
Constructing a circular ring in a first plane rectangular coordinate system by taking the position of the main control equipment as an origin, taking minD * as an inner circle radius and taking maxD * as an outer circle radius, and taking the constructed circular ring as the propagation range of the calibrated vibration sound source;
S3, calculating the stability of corresponding firmware of equipment in the equipment room, which is associated with the main control equipment, based on the heat radiation movement change condition of the main control equipment in the equipment room in the area to be monitored, and analyzing the influence of the stability of the firmware of the associated equipment on the calibrated vibration sound source transmission range by combining the calculation result;
Step 3001, obtaining a heat dissipation variation trend of the master control equipment in the area to be monitored based on the analysis result in step S2, analyzing the stability of corresponding firmware of equipment associated with the master control equipment in the equipment room in combination with the heat dissipation variation trend of the master control equipment,
Constructing a third plane rectangular coordinate system by taking a point o2 as an origin, taking a time node as an x2 axis and the vibration frequency as a y2 axis, marking coordinate points of vibration frequencies of firmware related to equipment related to main control equipment in each time node in an nth day of an equipment room in the third plane rectangular coordinate system, sequentially connecting two adjacent coordinate points, and generating a fitting curve which is marked as N (x 2);
Step 3002, combining the analysis result of step 3001, recording the stability of different firmware of the device associated with the existence of the master control device in the device room, and recording the stability of the c-th firmware of the device associated with the existence of the master control device in the device room as the stability of the c-th firmware of the device associated with the existence of the master control device
D represents the number of time nodes, B represents the standard stability of equipment-related firmware which is associated with main control equipment in an equipment room, and the standard stability is a database preset value;
step 3003, looping step 3002 to obtain the stability of each relevant firmware of the device associated with the main control device in the device room, calculating the influence condition of the propagation range of the vibration sound source based on the stability of each relevant firmware, and recording the influence condition of the stability of the c-th firmware on the propagation range of the vibration sound source as
Wherein ω represents a scaling factor, which is a database preset value,Representing a threshold value, wherein the threshold value is a database preset value,/>An abscissa value representing the nth day of the c-th firmware in the third plane rectangular coordinate system,/>An ordinate value representing the nth day of the c-th firmware in the third plane rectangular coordinate system;
And S4, monitoring the working states of all the devices in the current device machine room in real time, generating an early warning condition value by combining the analysis result in the S3, and implementing corresponding emergency measures according to the early warning condition value.
2. The method for supervising equipment based on environmental data according to claim 1, wherein the method in S4 comprises the steps of:
step 4001, monitoring the working state of each device in the current device machine room in real time, setting the early warning condition value by monitoring the change condition of the propagation range of the vibration sound source,
When (when)The external propagation range of the vibration sound source is enlarged, an early warning signal is sent,
When (when)The internal propagation range of the vibration sound source is enlarged, and an early warning signal is sent;
step 4002, collecting early warning signals in real time based on the current equipment early warning signal receiving device, combining the stability of firmware and the influence condition of the firmware on the propagation range of the vibration sound source to rapidly locate a fault area, and notifying related staff to carry out firmware overhaul.
3. A device supervisory system based on environmental data, the system comprising the following modules:
The equipment running state preprocessing module is used for: the equipment operation state preprocessing module is used for acquiring an operation state monitoring report of the equipment room in the area to be monitored through historical data, and analyzing vibration conditions generated under the rated working state of main control equipment in the equipment room in the area to be monitored and the initial transmission range of a vibration sound source according to the operation state monitoring report;
the equipment running state preprocessing module comprises a data acquisition unit and a vibration range initializing unit:
The data acquisition unit is used for acquiring a monitoring report of the running state of the main control equipment of the equipment room in the area to be monitored through historical data, and extracting the propagation distance of a sound source corresponding to vibration generated when the main control equipment runs in different time nodes in each day in the monitoring report;
The vibration range initializing unit is used for combining the analysis result of the data acquisition unit, constructing a propagation range of a vibration sound source by taking the main control equipment as a center, and taking the constructed propagation range of the vibration sound source as an initial value;
The environmental data influences the analysis module on the state of the equipment: the environmental data-to-equipment state influence analysis module is used for acquiring the environment of the equipment room in the area to be monitored through historical data, analyzing the influence of the heat dissipation movement change condition of the main control equipment in the equipment room on the propagation range of the vibration sound source according to the environment condition of the equipment in the area to be monitored, and calibrating the propagation initial range of the vibration sound source by combining the analysis result;
The environmental data impact analysis module for the equipment state comprises a heat dissipation rate calculation unit and a propagation range calibration unit:
the heat dissipation rate calculation unit is used for obtaining an environmental data monitoring report of the equipment room in the area to be monitored through historical data, extracting environmental temperature values in different time nodes and hardware temperature values of the main control equipment in corresponding time nodes in the environmental data monitoring report, and judging heat dissipation conditions of the corresponding equipment through difference value calculation;
The propagation range calibration unit is used for carrying out real-time calibration on the propagation range of the vibration sound source by combining the analysis result of the heat dissipation rate calculation unit;
Device firmware additional impact analysis module: the device firmware additional influence analysis module calculates the stability of corresponding firmware of equipment in the device machine room, which is associated with the main control equipment, based on the heat radiation movement change condition of the main control equipment in the device machine room in the area to be monitored, and analyzes the influence of the stability of the firmware of the associated equipment on the calibrated vibration sound source transmission range by combining the calculation result;
the device firmware additional influence analysis module comprises an associated device firmware stability analysis unit and an influence analysis unit:
The related equipment firmware stability analysis unit is used for acquiring the heat dissipation change trend of the main control equipment in the area to be monitored in the analysis result of the heat dissipation rate calculation unit, and analyzing the related firmware stability of the related equipment of the main control equipment in the equipment room by combining the heat dissipation change trend of the main control equipment;
The influence analysis unit is used for calculating the influence condition of the corresponding firmware stability on the propagation range of the vibration sound source according to the analysis result of the related equipment firmware stability analysis unit;
The equipment working state monitoring and early warning module: the equipment working state monitoring and early warning module is used for monitoring the working state of each piece of equipment in the current equipment room in real time, generating an early warning condition value by combining the analysis result of the equipment firmware additional influence analysis module, and implementing corresponding emergency measures according to the early warning condition value.
4. The device supervision system based on environmental data according to claim 3, wherein the device working state monitoring and early warning module comprises an early warning condition value generating unit and an early warning signal processing unit:
The early warning condition value generation unit is used for generating an early warning condition value by combining the analysis result of the influence analysis unit;
the early warning signal processing unit is used for receiving the analysis result of the early warning condition value generating unit, rapidly positioning a fault area according to the early warning condition value and notifying relevant staff to carry out firmware overhaul.
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