CN114139735A - Moving ring monitoring platform - Google Patents
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Abstract
The invention provides a moving ring monitoring platform, which comprises: a data acquisition layer: the embedded data acquisition host is used for carrying out incremental acquisition on equipment data of the data center and determining equipment operation data; a data processing layer: the data classification module is used for receiving the equipment operation data, classifying the data, corresponding the equipment and the data, and respectively generating an operation data packet of each equipment; a data detection layer: the device is used for dividing the operation data packet into blocks according to preset monitoring items, detecting the data stability of each block, detecting whether equipment abnormality exists according to the stability and outputting a detection result. The invention has the beneficial effects that: the management transparence is realized, the efficiency of asset management and monitoring management is effectively improved, and a three-dimensional visual new generation dynamic ring monitoring platform is really realized.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a moving ring monitoring platform.
Background
At present, with the continuous expansion of the scale of the data center, the operation and maintenance management of the data center becomes more and more important as the traffic volume is gradually increased. Prior art fig. 4 shows a simulated monitoring diagram of a data center in the prior art and fig. 5 is a monitoring interface; in the prior art, although monitoring is very comprehensive, the data processing part in the prior art is very disordered, single data of a single device cannot be accurately extracted, and the obtained detection result only alarms a fault event. However, abnormal data is not analyzed, and only an accident occurs or a threshold value is exceeded, an alarm is given. Secondly, although the prior art can alarm an accident, the best maintenance personnel cannot be selected to be maintained independently, the maintenance personnel can only be arranged based on a manager, the possibly arranged personnel cannot be maintained or the maintenance capability is not enough, the suitable personnel cannot be arranged on the suitable post, and the automation capability is low. The processing efficiency and processing capacity of the platform are low.
Disclosure of Invention
The invention provides a dynamic ring monitoring platform, which comprises a dynamic ring monitoring system as an important component, wherein the monitoring platform which is integrated uniformly, covers the whole park and has high stability and reliability is constructed for the infrastructure equipment of a data center, so that problems can be found actively and timely, operation and maintenance personnel are assisted to schedule resources and solve the problems, and new normality and new situation of operation and maintenance management of the data center are finally formed.
A moving loop monitoring platform, comprising:
a data acquisition layer: the embedded data acquisition host is used for carrying out incremental acquisition on equipment data of the data center and determining equipment operation data;
a data processing layer: the data classification module is used for receiving the equipment operation data, classifying the data, corresponding the equipment and the data, and respectively generating an operation data packet of each equipment;
a data detection layer: the device is used for dividing the operation data packet into blocks according to preset monitoring items, detecting the data stability of each block, detecting whether equipment abnormality exists according to the stability and outputting a detection result.
As an embodiment of the present invention: the data acquisition layer comprises:
a device determination module: the embedded data acquisition host is used for constructing an environment adjusting equipment control end and a power distribution equipment control end, and is connected with the power distribution equipment through the power distribution equipment control end, and is connected with the environment adjusting equipment through the environment adjusting equipment control end; wherein,
the power distribution apparatus includes: the system comprises a transformer, a low-voltage power distribution cabinet electric instrument, low-voltage power distribution equipment, a column head cabinet, an UPS, an ATS, a direct-current power supply system, a storage battery and a diesel generator set;
the environment adjusting apparatus includes: humidifier, precision air conditioner, water leakage detection, machine room temperature and humidity, and cabinet microenvironment;
the power distribution acquisition module: acquiring a first control parameter of the control end of the power distribution equipment, and performing incremental acquisition on operation data of the power distribution equipment through the first control parameter to determine a first operation parameter;
the environment adjustment acquisition module: acquiring a second control parameter of the control end of the environment adjusting equipment, and performing incremental acquisition on the operation data of the environment adjusting equipment through the second control parameter to determine a second operation parameter;
a data fusion module: and the device is used for determining equipment operation data according to the first operation parameter and the second operation parameter.
As an embodiment of the present invention: the data processing layer comprises:
a data classification module: the equipment information corresponding to each piece of equipment operation data is determined according to the equipment operation data;
a corresponding module: the device correspondence table is used for corresponding the device information with device operation data according to the device information and generating a corresponding device correspondence table;
a data type judging module: the data type acquired by the equipment is determined according to the equipment corresponding table;
a content configuration module: the data management system is used for arranging different types of data of the same equipment according to the data types and the weight according to a tree structure to determine a data structure;
a data packet generation module: and integrating the data of each device according to the data structure to generate an operation data packet.
As an embodiment of the present invention: the data detection layer includes:
a monitoring item setting module: the device is used for determining a preset monitoring item according to the data type of the device data; wherein,
the data types include: chart data, text data, video data, and sound data;
a block division module: the monitoring module is used for analyzing the content of the operation data packet, determining a data type according to an analysis result, determining a monitoring item corresponding to each operation data packet according to the data type, and generating a corresponding data block according to each monitoring item;
the stability detection module: the data block is used for determining data difference of the same equipment at different moments according to the data block and determining a variance value of the data difference;
a stability judgment module: the device comprises a variance value acquisition unit, a stability marking unit and a storage unit, wherein the variance value acquisition unit is used for acquiring a variance value of each device and marking the stability of each device based on the variance value;
a result output module: and the device is used for acquiring the stability marking result, determining the abnormal device, generating a detection report and outputting the detection report as the detection result.
As an embodiment of the present invention: the platform further comprises:
threshold value alarm module transgresses: the out-of-limit threshold value alarm module is used for alarming when the parameter of the operation data exceeds the rated out-of-limit threshold value parameter according to a preset rated out-of-limit threshold value parameter;
the specific steps of the out-of-limit threshold alarm module for implementing the alarm operation are as follows:
the method comprises the following steps: the out-of-limit threshold value alarm module receives the detection result, determines the parameters of the operation data of the abnormal equipment and compares the parameters with the limit out-of-limit threshold value parameters;
step two: according to the comparison result, determining fault information, determining specific fault equipment, and generating a fault alarm instruction according to the identified fault equipment;
step three: performing alarm display through voice alarm and flashing alarm according to the fault alarm instruction;
step four: determining alarm information according to the alarm display, detecting fault equipment and judging whether false alarm occurs or not; wherein,
under the state of false alarm, turning off the sound and light alarm;
and processing the alarm event and generating a processing report under the condition of confirming the fault state.
As an embodiment of the present invention: the out-of-limit threshold value alarm module is also used for generating a real-time curve and a historical similar curve and determining an alarm curve;
the specific steps of the generation of the alarm curve are as follows:
the method comprises the following steps: receiving alarm information, extracting operation data of corresponding equipment according to the alarm information, and generating a real-time curve;
step two: storing the real-time curve and converting the real-time curve record into a first alarm curve;
step three: acquiring a historical similar curve, predicting whether an accident occurs according to the historical similar curve, and generating a prediction chart;
step four: and predicting the accident occurrence trend according to the prediction chart, and generating a corresponding curve graph as an alarm curve graph.
As an embodiment of the present invention: the platform further comprises:
and the monitoring item detail module is used for scoring each monitoring item according to the monitoring item and the detection result:
a threshold setting module: the system is used for dividing alarm grades according to the scores of the monitoring items; wherein,
the alarm levels include: prompt alarm, general alarm, important alarm, emergency alarm;
a historical event query module: the device is used for judging whether corresponding historical events exist according to the detection result;
operation and maintenance strategy output module: and when corresponding historical events exist, sequentially outputting different corresponding strategies according to the alarm level.
As an embodiment of the present invention: the platform further comprises:
water and electricity monitoring module: the hydropower station is used for monitoring the hydropower state of the environment adjusting equipment, generating a hydropower pressure curve and judging whether the hydropower is in a normal range;
module is transferred to water and electricity: the hydropower station is used for generating a hydropower calling instruction when the hydropower is not in a normal range;
a threshold value adjusting module: and the hydropower dispatching device is used for dynamically adjusting the rated out-of-limit threshold parameter according to the hydropower dispatching instruction and adjusting the input quantity of the hydropower input equipment.
As an embodiment of the present invention: the platform further comprises:
the smoke detection module: the smoke detector is used for detecting whether smoke is generated in the environment of the machine room and determining source equipment for the smoke generation;
the smoke detection module comprises: the device comprises an ion type smoke sensing component and a wireless positioning component;
the specific detection steps of the smoke detection module for detecting smoke are as follows:
the method comprises the following steps: sensing the smoke concentration in the machine room environment of the data center through the ion type smoke sensing assembly, and generating concentration data based on a sensing space;
step two: sending the concentration data to the wireless location component;
step three: according to the wireless positioning assembly, a three-dimensional sensing space based on all the data center machine rooms is established;
step four: obtaining incremental data of the concentration data, and simulating a smoke scene corresponding to the incremental data according to the three-dimensional sensing space;
step five: and determining the diffusion trend of the aversion concentration according to the smoke scene, and determining the source of the smoke generating equipment according to the diffusion trend.
As an embodiment of the present invention: the authority identification module is used for identifying the maintenance authority of the operation and maintenance personnel when the detection result is output;
the identification steps of the operation of the authority identification module are as follows:
the method comprises the following steps: acquiring a face image of an operation and maintenance person through a data acquisition layer, processing the image, determining authority information, and determining a data calling authority of the operation and maintenance person according to the authority information;
step two: determining the maintenance authority of the operation and maintenance personnel according to the data calling authority;
step three: calling a maintenance record of the operation and maintenance personnel according to the maintenance authority;
step four: and identifying whether the detection results have the same equipment to be maintained or not according to the maintenance records, and maintaining when the detection results have the same equipment to be maintained.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and drawings.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a block diagram of a dynamic loop monitoring platform according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a machine room model of a dynamic loop monitoring platform according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating threshold alarm settings of a dynamic ring monitoring platform according to an embodiment of the present invention;
FIG. 4 is a prior art simulated monitoring graph in an embodiment of the present invention;
fig. 5 is a monitoring interface of the prior art in an embodiment of the present invention.
Detailed Description
The preferred embodiments of the present invention will be described in conjunction with the accompanying drawings, and it will be understood that they are described herein for the purpose of illustration and explanation and not limitation.
Example 1:
as shown in fig. 1, the present invention is a moving loop monitoring platform, which is composed of a data acquisition layer, a data processing layer and a data detection layer, wherein in the structure:
a data acquisition layer: the embedded data acquisition host is used for carrying out incremental acquisition on equipment data of the data center and determining equipment operation data;
a data processing layer: the data classification module is used for receiving the equipment operation data, classifying the data, corresponding the equipment and the data, and respectively generating an operation data packet of each equipment;
a data detection layer: the method is used for dividing the operation data packet into blocks according to the preset monitoring items, detecting whether each block has data abnormity or not and outputting a detection result.
The working principle of the technical scheme is as follows: in the prior art, with the business development of enterprises and the enlargement of enterprise scale, some enterprises can establish an independent data center to manage enterprise data through the data center, the data center is a globally cooperative specific equipment network in a broad sense, and the independent data center of the enterprises is a comprehensive management and control platform based on the internet or a local area network, is used for realizing data exchange and data analysis, and is formed by network equipment such as servers and switches. The data center is not only network equipment such as a server and a switch, but also comprises a whole set of complete machine room serving the server, and a power supply system, also called power equipment, of the server and environmental equipment for providing a good environment for the server are required in the machine room. For these power equipment and environmental equipment, real-time monitoring is required to keep the data center in a safe and environmentally suitable operating environment. Fig. 4 and 5 are prior art, but show the moving-ring platform in a visual simulation angle, and are still problems of program and data processing for specific technical problems. Fig. 2 shows the monitoring of the environment equipment of the present invention, and fig. 3 is an interface diagram of the present invention for making specific alarms in specific situations.
In the present invention: the data acquisition layer is used for acquiring the operation data of power equipment and environmental equipment of the data center, and the incremental acquisition mode, namely real-time acquisition, is adopted by the invention to acquire data increased at each moment, and the data which is stored and processed is not acquired any more. The embedded data acquisition host is adopted, and power equipment and environmental equipment are generally controlled by the embedded controller, so that the maintenance and troubleshooting are facilitated. The data processing layer is a step of data classification, in the process, the operation data and the equipment are required to be corresponding, and a separate data packet of each equipment is generated, because if a single equipment is damaged or the data is abnormal, the single equipment needs to be maintained, and operation and maintenance managers can quickly determine the equipment needing to be maintained according to the single data packet and judge where the problem occurs based on the data state. In the data detection layer, the invention carries out block division according to the preset monitoring items, because different data belong to different blocks through the block division, the invention can independently detect the operation data of each device and judge whether the problem occurs. The equipment data of the invention mainly refers to managed entities such as machine room environment, heating and ventilation equipment, electric power equipment, security equipment and the like in a machine room in the data, and the equipment is a monitored object which needs to be monitored in real time and is original information, namely a source of equipment operation data. All managed objects provide various performance and event data for the embedded data acquisition host through a standard protocol or a private protocol mode; the data processing layer comprises two functions, namely data acquisition of data of various devices; and secondly, data management of various devices is carried out, and the device data are collected by the embedded data acquisition host to generate data in the forms of documents, videos, tables and the like. When data increment acquisition is carried out, the invention adopts a timing round-robin mechanism to obtain the data of the monitored facility; or the data is acquired through a monitoring tool provided by an equipment manufacturer; data can also be acquired through other manufacturer monitoring platforms;
the detection result output by the invention needs to be displayed to the operation and maintenance personnel, and in the process, the invention adopts a full WEB client interface, so that the operation and maintenance personnel can access the monitoring platform of the invention on any computer in the network at any time by using a browser, and can present different functions and data according to the needs of users. In addition, the detection result is displayed to operation and maintenance personnel through an event notification mode of various modes such as sound and light, APP and the like.
The beneficial effects of the above technical scheme are: the invention has the functions of data acquisition, data processing and data detection on the equipment of the data center, and can determine the information service of the running state of the infrastructure and the states of various resources. The operation and maintenance management personnel can timely eliminate faults by means of the platform, avoid heavy loss, optimize and improve the traditional operation and maintenance mode, and effectively control the operation and maintenance quality, so that the service level is improved.
Example 2:
in a specific embodiment of the invention, the data acquisition layer comprises:
a device determination module: the embedded data acquisition host is used for constructing an environment adjusting equipment control end and a power distribution equipment control end, and is connected with the power distribution equipment through the power distribution equipment control end, and is connected with the environment adjusting equipment through the environment adjusting equipment control end; wherein,
the power distribution apparatus includes: the system comprises a transformer, a low-voltage power distribution cabinet electric instrument, low-voltage power distribution equipment, a column head cabinet, an UPS, an ATS, a direct-current power supply system, a storage battery and a diesel generator set;
the environment adjusting apparatus includes: humidifier, precision air conditioner, water leakage detection, machine room temperature and humidity, and cabinet microenvironment;
the power distribution acquisition module: acquiring a first control parameter of the control end of the power distribution equipment, and performing incremental acquisition on operation data of the power distribution equipment through the first control parameter to determine a first operation parameter;
the environment adjustment acquisition module: acquiring a second control parameter of the control end of the environment adjusting equipment, and performing incremental acquisition on the operation data of the environment adjusting equipment through the second control parameter to determine a second operation parameter;
a data fusion module: and the device operation data is determined according to the first operation device and the second operation device.
The working principle of the technical scheme is as follows: when the data acquisition is carried out, the embedded data acquisition host is used, the embedded data host can establish a data acquisition port by adding various data acquisition chips, and carry out data acquisition on the environment regulation equipment and the power distribution equipment according to the data acquisition port. The invention shows a power distribution apparatus comprising: the system comprises a transformer, a low-voltage power distribution cabinet electric instrument, low-voltage power distribution equipment, a column head cabinet, an UPS, an ATS, a direct-current power supply system, a storage battery and a diesel generator set; the device is a plurality of devices for providing stable power for the data center; and the environment collection adjustment device includes: the intelligent power distribution system comprises a humidifier, a precise air conditioner, water leakage detection, machine room temperature and humidity and a cabinet microenvironment, and is used for providing a good operation environment for a data center. When the data acquisition is carried out, the incremental acquisition mode is adopted, so that the data acquisition only acquires data which is increased in real time, and the stored data is not acquired.
The beneficial effects of the above technical scheme are that: the invention determines the data acquisition mode and the data acquisition equipment, can realize the rapid data acquisition through the embedded equipment, and only acquires incremental data in the data acquisition process, thereby preventing insufficient storage space and inaccurate data acquisition.
Example 3:
in a specific embodiment of the present invention, the data processing layer includes:
a data classification module: the equipment information corresponding to each piece of equipment operation data is determined according to the equipment operation data;
a corresponding module: the device correspondence table is used for corresponding the device and the device operation data according to the device information to generate a corresponding device correspondence table;
a data type judging module: the data type acquired by the equipment is determined according to the equipment corresponding table;
a content configuration module: the data management system is used for arranging different types of data of the same equipment according to the data types and the weight according to a tree structure to determine a data structure;
a data packet generation module: and integrating the data of each device according to the data structure to generate an operation data packet.
The principle of the technical scheme is as follows: after the device operation data acquisition is completed, the invention can judge which devices belong to the devices according to the operation data, and determine specific device information, such as: the voltage regulation data belongs to transformer equipment, the humidity data belongs to a humidifier and the like. The present invention associates the device information with the device data after the device information is determined, in order to generate a separate data packet for each device. When the individual data packet of each device is generated, the data of each device is also arranged, the arrangement is tree-shaped, the data with high weight value is a trunk, and the data with low weight value is a plurality of branches. Therefore, the formed data packet is ensured to be a complete and stable data packet, and safe and efficient transmission is facilitated.
The beneficial effects of the above technical scheme are that: when the data processing is carried out, the data is generated into a data packet form according to each device, the data packet is not a data packet for transmission communication, and the data packet is a separate data set generated relative to each device and integrates all collected operation data of one device. The tree structure is to ensure the stability of data, so as to facilitate data analysis.
Example 4:
in a specific embodiment of the present invention, the data processing layer of the present invention, in addition to processing prototype data of the data pair device, further includes processing alarm data, in the process, including:
an alarm management module: the monitoring device is used for monitoring the power distribution equipment and the environment adjusting equipment through the monitoring equipment, acquiring a real-time monitoring video and acquiring real-time alarm information through the real-time monitoring video;
an alarm management module: the data acquisition unit is used for acquiring real-time alarm data according to the real-time alarm information and performing alarm active notification, alarm statistics and alarm correlation analysis;
the unified event processing module: the alarm analysis module is used for generating a corresponding alarm analysis report according to the alarm data;
the operation and maintenance management module: and the operation and maintenance processing strategy is used for determining the alarm event according to the alarm analysis report.
The working principle of the technical scheme is as follows: the platform of the invention not only carries out necessary analysis processing on data according to the requirement, but also needs emergency processing on alarm data, and mainly has the following functional key points: 1, alarm management, namely monitoring infrastructure in real time, acquiring various index data, associating the index data with an alarm module, timely sending out an alarm when an abnormality occurs, and determining alarm information through monitoring equipment; 2, alarm management, which provides functions of alarm active notification, alarm statistics, alarm correlation analysis and the like; 3, event processing is unified, infrastructure events and alarm events are collected in a centralized mode, alarm correlation analysis is provided, an analysis report is generated, and an administrator is assisted to remove faults through the analysis report; and 4, realizing the operation and maintenance management function based on the operation and maintenance service management, and performing operation and maintenance treatment on the alarm event, wherein the operation and maintenance treatment comprises event management, problem management, change management, configuration management, personnel management, knowledge base management and event policy analysis.
The beneficial effects of the above technical scheme are: the data processing layer carries out performance management real-time monitoring on the data received from the data acquisition layer, and the data transmission processing among all modules in the platform can be faster and more orderly through processing the unified event processing and the alarm setting.
Example 5:
in a specific embodiment of the present invention, the data detection layer includes:
a monitoring item setting module: the device is used for determining a preset monitoring item according to the data type of the device data; wherein,
the data types include: chart data, text data, video data, and sound data;
a block division module: the monitoring module is used for analyzing the content of the operation data packet, determining a data type according to an analysis result, determining a monitoring item corresponding to each operation data packet according to the data type, and generating a corresponding data block according to each monitoring item;
the stability detection module: the data block is used for determining data difference of the same equipment at different moments according to the data block and determining a variance value of the data difference;
a stability judgment module: the device comprises a variance value acquisition unit, a stability marking unit and a storage unit, wherein the variance value acquisition unit is used for acquiring a variance value of each device and marking the stability of each device based on the variance value;
a result output module: and the device is used for acquiring the stability marking result, determining the abnormal device, generating a detection report and outputting the detection report as the detection result.
The principle of the technical scheme is as follows: the main data types for monitoring the power distribution equipment and the environmental conditioning equipment of the data center are graph data (data graphs of different electric equipment), text data (various controls and different processes of the electric equipment are provided with logs, and the logs are embodied in text form), video data (namely, monitoring of a fire scene through the monitoring equipment, if fire, explosion or non-management personnel invasion exists, the video data are changed), sound data (operation sounds of various equipment, sounds of abnormal operation of the equipment if explosion occurs, and the like); the division of the blocks is to enable the individual monitoring of the data produced by each device, the variance of the data differences used by the invention in the stability detection aspect, which may already indicate whether the degree of data stability is high or low, and the difference of the degree of deviation between this evaluation of variance and the mathematical expectation. The data stability can be reflected. In the prior art, it is probably a conventional mathematical tool to calculate the variance, but the data stability determination implemented based on the blocks in the present invention is implemented at a program level, does not need to be implemented by a large data analysis technology in the prior art, and has a simple mode and low complexity. In the aspect of detection precision, because calculation is carried out based on data difference at every moment, and judgment is carried out on the acquired original data of the equipment, compared with the big data analysis in the prior art, the technology which seems to be more high-tech is more real and accurate, because the existing big data analysis mainly needs to establish a model, and the model is established to result in sample data, the sample data generally adopts historical data, and under the condition, the model per se ignores the natural factor difference between the historical data and the real-time data under the change of temperature and environment. The final output result is a detection report generated by the stability mark, and the problem of the equipment can be clearly displayed.
The beneficial effects of the above technical scheme are that: the invention can clearly judge that the equipment has problems according to the final detection result, clearly determine that the data has problems, and then realize the retrieval of the data and the operation and maintenance of the abnormal equipment according to the division of the blocks.
Example 6:
in an embodiment of the present invention, the present invention further needs a data presentation function, so a data presentation layer is provided to perform data processing through a DCIM technology.
The DCIM is used for monitoring data parameters of a data center control end (an environment adjusting equipment control end and a power distribution equipment control end) and managing electric equipment and machine room environment equipment according to the data parameters;
the DCIM is connected with the server, receives the data pushed by the data processing layer and performs classified management on the data;
and the DCIM pushes the classified data information to a data display layer, and the data display layer displays the data classification items according to the request of the client.
The working principle of the technical scheme is as follows: DCIM is an administrative tool and method. The data center can be visually modeled by erecting a bridge connecting key infrastructure and IT equipment, the capacities of the data center such as power supply, refrigeration, space, bearing and the like are tracked, and the connection relation of the power supply, a network and the like is managed;
the beneficial effects of the above technical scheme are: because the data center considers margins at different levels during design to improve reliability, and the operation of the server cannot reach the designed nameplate power consumption, the capacity of each rack cannot be fully utilized. The real-time refined management function provided by the DCIM can enable a user to get rid of the rough judgment modes such as hand touch, eye sight and the like in the past, know the resource consumption condition of each rack and the whole data center in real time, improve the utilization rate of assets, prolong the service life of the data center and save investment.
Example 7:
in one embodiment of the present invention, the platform of the present invention further comprises:
threshold value alarm module transgresses: the out-of-limit threshold value alarm module is used for alarming when the parameter of the operation data exceeds the rated out-of-limit threshold value parameter according to a preset rated out-of-limit threshold value parameter;
the specific steps of the out-of-limit threshold alarm module for implementing the alarm operation are as follows:
the method comprises the following steps: the out-of-limit threshold value alarm module receives the detection result, determines the parameters of the operation data of the abnormal equipment and compares the parameters with the limit out-of-limit threshold value parameters;
step two: according to the comparison result, determining fault information, determining specific fault equipment, and generating a fault alarm instruction according to the identified fault equipment;
step three: performing alarm display through voice alarm and flashing alarm according to the fault alarm instruction;
step four: determining alarm information according to the alarm display, detecting fault equipment and judging whether false alarm occurs or not; wherein,
under the state of false alarm, turning off the sound and light alarm;
and processing the alarm event and generating a processing report under the condition of confirming the fault state.
The principle of the technical scheme is as follows: the alarm mode of the invention is out-of-limit alarm, in the alarm process, the invention also alarms through parameter comparison, but the alarm and the detection result are different, and the detection result only judges that the data of each device is stable and unstable, but the instability does not represent the alarm degree. Therefore, the invention generates the parameter of the operation data by the detection result to be compared with the rated out-of-limit parameter after the detection result is obtained, determines that the equipment has the fault according to the comparison result, and determines what the specific fault information is, and generates a solution for the fault after the fault equipment is obtained. Wherein, the judgment of false alarm is also an accurate judgment method.
The beneficial effects of the above technical scheme are that: the invention can judge whether the operation of each device is stable or unstable after the detection result is obtained, and can judge whether the unstable condition reaches the alarm degree or not by the way of comparing the limit threshold value parameters after the stable condition is determined, so as to alarm.
Example 8:
in a specific embodiment of the invention, in the process of alarming, whether the false alarm exists or not needs to be automatically judged, the method adopted by the invention is to detect the corresponding equipment according to the alarm information, and the detection is realized by the difference condition of the running data of the fault equipment in the monitoring time in a data verification mode.
Determining data in a monitoring time period according to the alarm information, and generating a time sequence and a data sequence:
B＝[s1，s2，……st]
wherein, B is a data sequence; stThe data parameter of the fault device at the t-th time interval is shown, and the invention also has the time interval t besides the data parameter, namely the time when a data exists, for example: the data parameter is always 15 from 15 pm to 16 pm; the time interval is 1 hour; the invention takes time, minutes and seconds as the calculation time to select the unit according to the specific accurate requirement. Similarly, the time intervals are of a number, tiRepresents the ith time interval; the time interval and the data parameter correspond.
When the equipment fails, a plurality of pieces of equipment possibly fail, but the misinformation judgment of each piece of equipment is independently judged;
after the data sequence is established, two judgments need to be made, wherein the first judgment is that the average value of the data is larger than the average difference of all the data; this ensures that the differences which occur are relatively large, and it is then also possible to determine the ratio of the cumulative sum of the subtractions of the average values of the parameters at the maximum and minimum values, respectively, from the data parameters of all other time intervals to the subtractions of the average values of all data from the data parameters of all other time intervals. Generally, if the ratio of the average value of all data subtracted by the data parameter of all other time intervals is taken as a numerator, it must be greater than 1 to determine whether the fault is particularly large, because only then, it can be determined that the data has large and unstable intermediate fluctuation. There must be a failure.
In the process, the maximum data parameter and the minimum data parameter are determined according to the data sequence, and the mean value of the data parameters is determined; then comparing the average value of the data parameters under the maximum value and the minimum value in all the data with the average value of all the data of the whole data;
firstly, the invention determines the average value of the parameters under the maximum value and the minimum value based on the data sequence:
sminrepresenting data parametersA minimum value; smaxRepresents a maximum value of a data parameter;
second, the data mean of all data can be determined:
after the two mean values are determined, determining a judgment standard of the first difference coefficient through comparison of the two mean values:
only when the comparison of the two values is greater than 1, the method can show that the difference is huge and no misjudgment is carried out;
the second point realizes the difference comparison besides the mean comparison, and the invention also comprises the step of comparing the median value characteristic with the data mean characteristic to determine the judgment standard of the second difference, namely the difference of the whole data:
through the mean value comparison of the technical scheme, if the data do not meet the standard, a certain problem may exist, and whether the alarm information has an error or not can be judged.
Example 9:
in a specific embodiment
The out-of-limit threshold value alarm module is also used for generating a real-time curve and a historical similar curve and determining an alarm curve;
the specific steps of the generation of the alarm curve are as follows:
the method comprises the following steps: receiving alarm information, extracting operation data of corresponding equipment according to the alarm information, and generating a real-time curve;
step two: storing the real-time curve and converting the real-time curve record into a first alarm curve;
step three: acquiring a historical similar curve, predicting whether an accident occurs according to the historical similar curve, and generating a prediction;
step four: and predicting the accident occurrence trend according to the prediction chart, and generating a corresponding curve graph as an alarm curve graph.
The working principle of the technical scheme is as follows: in the prior art, although the detection result exists, the detection result only represents that the equipment may have problems, and the data is abnormal, and the equipment may have problems, but the alarm is not necessarily performed, for example: the data center is a place which needs data processing for a long time, the electric quantity consumed when the calculated quantity is large, the electric quantity consumed when the calculated quantity is small, but the electric quantity consumption of the calculated data cannot be regularly determined, so that the equipment is always in an abnormal electricity utilization state under the general condition, only a threshold value is set to prevent accidents, and therefore, the server can be said to be always in the abnormal electricity utilization state and is not stable. For these situations, even if the detection result is available, the invention will set the threshold value to alarm through the threshold value. However, false alarms may also exist, such as: only the detection parameter at a certain instant exceeds the threshold value, but the global situation is not affected. In this case, whether the alarm event is a false alarm or not is judged, so that alarm management and control are performed, but when the alarm is specifically performed, the real-time curve and the historical similar curve are used, namely, the state of the running stage (which may be set by a user or a natural rule) of the equipment being detected and the state of the historical similar curve (which is historically that the running curve of the equipment is similar to the current curve, and the similarity degree is set by the user, generally, about seventy percent, because the similar curve is difficult to obtain, but can reach seventy percent, the same event can occur between the running curve and the current curve). The two curves are fused into an alarm curve, in the fusion process, event prediction is carried out according to history similarity, whether an accident occurs or not is judged, then a corresponding trend graph is generated according to the predicted icon, the trend graph can analyze the trend of the event, trend rising and trend falling possibly exist, but the trend graph is dynamic and can change according to the actual situation, finally, a threshold value is set according to the graph, alarm is carried out, the alarm graph has the function of giving an alarm when the alarm threshold value is reached, and the limit-crossing threshold value parameter of the invention is used as a synchronous process and is synchronously implemented.
The beneficial effects of the above technical scheme are: the invention finally judges whether to alarm or not through the dynamic trend chart, and the mode is more humanized, more convenient for operation and maintenance personnel to process, and can calculate the probability trend of accidents, thereby realizing dynamic adjustment and dynamic prediction of the Western-style safety.
Example 10:
in a specific embodiment, the platform further comprises:
and the monitoring item detail module is used for scoring each monitoring item according to the monitoring item and the detection result:
a threshold setting module: the system is used for dividing alarm grades according to the scores of the monitoring items; wherein,
the alarm levels include: prompt alarm, general alarm, important alarm, emergency alarm;
a historical event query module: the device is used for judging whether corresponding historical events exist according to the detection result;
operation and maintenance strategy output module: and when corresponding historical events exist, sequentially outputting different corresponding strategies according to the alarm level.
The working principle of the technical scheme is as follows: in the prior art, a state that a plurality of devices alarm at one time may exist, at this time, if only one alarm signal exists, the devices which are missed are likely to exist, and although the devices are in failure, the alarm is given, but the devices are not maintained. In addition, some equipment alarms are not particularly important, and some alarms influence the safety of the equipment, in this case, all that is needed is to enable the alarms to be alarmed according to different grades and according to the degree of urgency, so the invention sets a grading step, and further, the classification of the alarm grade of the Western Ann. Of course, the same fault may occur in a historical event, and in this case, the operation and maintenance policy output module of the present invention outputs the corresponding policy according to the actual alarm level. And outputting a corresponding strategy according to the alarm level of the equipment.
The beneficial effects of the above technical scheme are: according to the invention, through setting different alarm levels, corresponding coping strategies can be output according to different alarm levels, so that the equipment can be maintained quickly.
Example 11:
in a specific embodiment, the platform further comprises:
water and electricity monitoring module: the hydropower station is used for monitoring the hydropower state of the environment adjusting equipment, generating a hydropower pressure curve and judging whether the hydropower is in a normal range;
module is transferred to water and electricity: the hydropower station is used for generating a hydropower calling instruction when the hydropower is not in a normal range;
a threshold value adjusting module: and the hydropower dispatching device is used for dynamically adjusting the rated out-of-limit threshold parameter according to the hydropower dispatching instruction and adjusting the input quantity of the hydropower input equipment.
The working principle of the technical scheme is as follows: the invention has water-using equipment such as a humidifier, a data center and other electric equipment, the water and electricity are required to be in a stable state when the equipment is required to be in the stable state all the time, but the water and electricity regulation of the equipment is relatively long, and the alarm is probably given when the equipment is regulated.
The beneficial effects of the above technical scheme are: the invention also needs to ensure the water and electricity state to be in a normal range, but servers of the data center do not work together and can possibly have inactive servers, therefore, if only one standard rated out-of-limit threshold parameter is set, blood donation of an alarm situation is large, the invention rechecks an actual scene more by setting the dynamic adjustment mode, and is safer.
Example 12:
in a specific embodiment, the platform further comprises:
the smoke detection module: the smoke detector is used for detecting whether smoke is generated in the environment of the machine room and determining source equipment for the smoke generation;
the smoke detection module comprises: the device comprises an ion type smoke sensing component and a wireless positioning component;
the specific detection steps of the smoke detection module for detecting smoke are as follows:
the method comprises the following steps: sensing the smoke concentration in the machine room environment of the data center through the ion type smoke sensing assembly, and generating concentration data based on a sensing space;
step two: sending the concentration data to the wireless location component;
step three: according to the wireless positioning assembly, a three-dimensional sensing space based on all the data center machine rooms is established;
step four: obtaining incremental data of the concentration data, and simulating an aversion scene corresponding to the incremental data according to the three-dimensional sensing space;
step five: and determining the diffusion trend of the aversion concentration according to the smoke scene, and determining a smoke generation target point according to the diffusion trend.
Step five: the line transmitting unit receives the ionization signal and transmits a wireless alarm signal through the wireless transmitting unit to finish smoke alarm operation;
the working principle of the technical scheme is as follows: in the prior art, if smoke occurs in a fire, generally only alarm can be given, the place where the fire occurs is difficult to locate by oneself, and the opportunity of autonomous rescue and the actual rescue of a fireman are likely to be missed, so the smoke induction equipment is arranged in the invention. The invention adopts three-dimensional space sensing modeling to realize the simulation realization of the scene. Then the trend of smoke diffusion is simulated through a simulated scene, the smoke concentration at the place is naturally determined through the simulation, then the source of the smoke generation and the equipment for the smoke generation are determined, and the invention collects incremental data in the simulation, because only the incremental data is the data which continuously diffuse. The ion sensing assembly of the present invention allows a certain current to pass through the air between the two electrodes, and the radiation ionizes the local air to form an ion flow under the action of a voltage, which gives the ionization chamber an effective conductivity. As the smoke particles enter the ionization region, they reduce the conductivity of the air by engaging ions, creating a reduction in ion travel, thereby accurately determining the sample concentration. Mainly based on the amount of particles implemented.
The beneficial effects of the above technical scheme are: the smoke detection module detects whether smoke exists in the machine room environment or not and can determine that the smoke source can perform alarm operation when the smoke is detected based on the dynamic diffusion of the smoke, so that the safety of the machine room is ensured.
Example 13:
in a particular embodiment of the present invention,
platform of the invention
The method further comprises the following steps: the authority identification module is used for identifying the maintenance authority of the operation and maintenance personnel when the detection result is output;
the identification steps of the operation of the authority identification module are as follows:
the method comprises the following steps: acquiring a face image of an operation and maintenance person through a data acquisition layer, processing the image, determining authority information, and determining a data calling authority of the operation and maintenance person according to the authority information;
step two: determining the maintenance authority of the operation and maintenance personnel according to the data calling authority;
step three: calling a maintenance record of the operation and maintenance personnel according to the maintenance authority;
step four: and identifying whether the detection results have the same equipment to be maintained or not according to the maintenance records, and maintaining when the detection results have the same equipment to be maintained.
When the invention carries on the maintenance to the faulty equipment in the testing result, in order to raise the efficiency of maintenance, the invention adopts the way of authority recognition, the image information of the face, can confirm the facial characteristic, this can confirm the maintenance personal who is, thus can confirm the maintenance personal has those authorities too; the method can ensure the uniqueness of the operation and maintenance personnel, and after the operation and maintenance personnel are determined (the maintenance personnel are not necessarily one), the maintenance authority of the operation and maintenance personnel is determined by the method, the maintenance authority is used for calling the historical maintenance records of the operation and maintenance personnel, and the system judges whether the operation and maintenance personnel have the authority to maintain the corresponding fault equipment according to the historical maintenance records, so that maintenance comparison is realized, and maintenance is carried out.
The beneficial effects of the above technical scheme are that: compared with the traditional maintenance mode, the maintenance mode can more quickly find experienced maintenance personnel, thereby realizing quick and efficient maintenance.
Example 14:
because the face image can determine all the characteristics of the operation and maintenance personnel. Then the facial features can acquire the identity information of the operation and maintenance personnel, and further determine the calling authority, so that the operation and maintenance personnel can be called. After the calling authority of each operation and maintenance person is determined, the most suitable maintenance person can be determined according to the maintenance condition and the maintenance authority, and the specific judgment step comprises the following steps:
acquiring a face image according to the embedded data acquisition host of the data acquisition layer, and determining the face characteristics:
wherein, INA spatial function in color space representing the Nth person; x is the number ofiA position coordinate representing the ith coordinate point (pixel point); y isiA pixel feature representing the ith coordinate point (pixel point); the total number of the coordinate points is n;
in the above formula, INThe method comprises the steps of representing a characteristic function, mainly a function in a color space, reflecting information such as gray value, texture, shape, hue, saturation, brightness and the like, belonging to a comprehensive function, and realizing characteristic calculation of each pixel point based on the function when the characteristic of the face is identified so as to comprehensively determine all characteristics of the face;
after the face feature is determined, we need to judge the person with this face feature has those calling rights, in this process, the invention follows by the following formula:
P(x)＝∑[xj*M(IN)]-M(IN)＞0
in the above formula, xjRepresenting the jth call authority; in the process of setting the calling authority, setting each portrait feature and an authority parameter belonging to the calling authority to be a value larger than 1; therefore, when the judgment is carried out, the fact that the ith calling authority belongs to the authority owned by the Nth person can be shown as long as the above expression is met. P (x) is a decision function indicating a call authority;
then, calling the historical maintenance records of the person through the calling authority of the person, calculating the fitting degree of each scene and the existing scene in the historical maintenance data of each person, and accordingly determining the most suitable maintenance person, wherein in the process: this can be determined by the following formula:
in the above-mentioned formula, the compound of formula,
the j-th calling authority can call the set of all the history protection data of the Nth person; l isgDenotes the NthThe individual's gtth historical repair record; l isg∈M(IN) Is to determine whether the g-th historical service record belongs to the record having M (I)N) The human face characteristics of (1). Determining fitting values of the conditions of the historical maintenance records and the existing abnormal conditions after the judgment is successful; k represents the existing abnormal condition; and then pass through
Determining a specific fitting value; selecting the person with the largest fitting value to maintain; but only one person is scheduled for maintenance.
It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (10)
1. A moving loop monitoring platform, comprising:
a data acquisition layer: the embedded data acquisition host is used for carrying out incremental acquisition on equipment data of the data center and determining equipment operation data;
a data processing layer: the data classification module is used for receiving the equipment operation data, classifying the data, corresponding the equipment and the data, and respectively generating an operation data packet of each equipment;
a data detection layer: the device is used for dividing the operation data packet into blocks according to preset monitoring items, detecting the data stability of each block, detecting whether equipment abnormality exists according to the stability and outputting a detection result.
2. A moving loop monitoring platform as claimed in claim 1 wherein said data acquisition layer comprises:
a device determination module: the embedded data acquisition host is used for constructing an environment adjusting equipment control end and a power distribution equipment control end, and is connected with the power distribution equipment through the power distribution equipment control end, and is connected with the environment adjusting equipment through the environment adjusting equipment control end; wherein,
the power distribution apparatus includes: the system comprises a transformer, a low-voltage power distribution cabinet electric instrument, low-voltage power distribution equipment, a column head cabinet, an UPS, an ATS, a direct-current power supply system, a storage battery and a diesel generator set;
the environment adjusting apparatus includes: humidifier, precision air conditioner, water leakage detection, machine room temperature and humidity, and cabinet microenvironment;
the power distribution acquisition module: acquiring a first control parameter of the control end of the power distribution equipment, and performing incremental acquisition on operation data of the power distribution equipment through the first control parameter to determine a first operation parameter;
the environment adjustment acquisition module: acquiring a second control parameter of the control end of the environment adjusting equipment, and performing incremental acquisition on the operation data of the environment adjusting equipment through the second control parameter to determine a second operation parameter;
a data fusion module: and the device is used for determining equipment operation data according to the first operation parameter and the second operation parameter.
3. A moving loop monitoring platform as claimed in claim 1 wherein said data processing layer comprises:
a data classification module: the equipment information corresponding to each piece of equipment operation data is determined according to the equipment operation data;
a corresponding module: the device correspondence table is used for corresponding the device information with device operation data according to the device information and generating a corresponding device correspondence table;
a data type judging module: the data type acquired by the equipment is determined according to the equipment corresponding table;
a content configuration module: the data management system is used for arranging different types of data of the same equipment according to the data types and the weight according to a tree structure to determine a data structure;
a data packet generation module: and integrating the data of each device according to the data structure to generate an operation data packet.
4. A moving loop monitoring platform as claimed in claim 1 wherein said data detection layer comprises:
a monitoring item setting module: the device is used for determining a preset monitoring item according to the data type of the device data; wherein,
the data types include: chart data, text data, video data, and sound data;
a block division module: the monitoring module is used for analyzing the content of the operation data packet, determining a data type according to an analysis result, determining a monitoring item corresponding to each operation data packet according to the data type, and generating a corresponding data block according to each monitoring item;
the stability detection module: the data block is used for determining data difference of the same equipment at different moments according to the data block and determining a variance value of the data difference;
a stability judgment module: the device comprises a variance value acquisition unit, a stability marking unit and a storage unit, wherein the variance value acquisition unit is used for acquiring a variance value of each device and marking the stability of each device based on the variance value;
a result output module: and the device is used for acquiring the stability marking result, determining the abnormal device, generating a detection report and outputting the detection report as the detection result.
5. A moving loop monitoring platform as claimed in claim 1 wherein said platform further comprises:
threshold value alarm module transgresses: the out-of-limit threshold value alarm module is used for alarming when the parameter of the operation data exceeds the rated out-of-limit threshold value parameter according to a preset rated out-of-limit threshold value parameter;
the specific steps of the out-of-limit threshold alarm module for implementing the alarm operation are as follows:
the method comprises the following steps: the out-of-limit threshold value alarm module receives the detection result, determines the parameters of the operation data of the abnormal equipment and compares the parameters with the limit out-of-limit threshold value parameters;
step two: according to the comparison result, determining fault information, determining specific fault equipment, and generating a fault alarm instruction according to the identified fault equipment;
step three: performing alarm display through voice alarm and flashing alarm according to the fault alarm instruction;
step four: determining alarm information according to the alarm display, detecting fault equipment and judging whether false alarm occurs or not; wherein,
under the state of false alarm, turning off the sound and light alarm;
and processing the alarm event and generating a processing report under the condition of confirming the fault state.
6. A moving loop monitoring platform as claimed in claim 5 wherein said out-of-limit threshold alarm module is further adapted to generate a real-time curve and a historical similar curve to determine an alarm curve;
the specific steps of the generation of the alarm curve are as follows:
the method comprises the following steps: receiving alarm information, extracting operation data of corresponding equipment according to the alarm information, and generating a real-time curve;
step two: storing the real-time curve and converting the real-time curve record into a first alarm curve;
step three: acquiring a historical similar curve, predicting whether an accident occurs according to the historical similar curve, and generating a prediction chart;
step four: and predicting the accident occurrence trend according to the prediction chart, and generating a corresponding curve graph as an alarm curve graph.
7. A moving loop monitoring platform as claimed in claim 1 wherein said platform further comprises:
and the monitoring item detail module is used for scoring each monitoring item according to the monitoring item and the detection result:
a threshold setting module: the system is used for dividing alarm grades according to the scores of the monitoring items; wherein,
the alarm levels include: prompt alarm, general alarm, important alarm, emergency alarm;
a historical event query module: the device is used for judging whether corresponding historical events exist according to the detection result;
operation and maintenance strategy output module: and when corresponding historical events exist, sequentially outputting different corresponding strategies according to the alarm level.
8. A moving loop monitoring platform as claimed in claim 2 wherein said platform further comprises:
water and electricity monitoring module: the hydropower station is used for monitoring the hydropower state of the environment adjusting equipment, generating a hydropower pressure curve and judging whether the hydropower is in a normal range;
module is transferred to water and electricity: the hydropower station is used for generating a hydropower calling instruction when the hydropower is not in a normal range;
a threshold value adjusting module: and the hydropower dispatching device is used for dynamically adjusting the rated out-of-limit threshold parameter according to the hydropower dispatching instruction and adjusting the input quantity of the hydropower input equipment.
9. A moving loop monitoring platform as claimed in claim 1 wherein said platform further comprises:
the smoke detection module: the smoke detector is used for detecting whether smoke is generated in the environment of the machine room and determining source equipment for the smoke generation;
the smoke detection module comprises: the device comprises an ion type smoke sensing component and a wireless positioning component;
the specific detection steps of the smoke detection module for detecting smoke are as follows:
the method comprises the following steps: sensing the smoke concentration in the machine room environment of the data center through the ion type smoke sensing assembly, and generating concentration data based on a sensing space;
step two: sending the concentration data to the wireless location component;
step three: according to the wireless positioning assembly, a three-dimensional sensing space based on all the data center machine rooms is established;
step four: obtaining incremental data of the concentration data, and simulating a smoke scene corresponding to the incremental data according to the three-dimensional sensing space;
step five: and determining the diffusion trend of the aversion concentration according to the smoke scene, and determining the source of the smoke generating equipment according to the diffusion trend.
10. A moving loop monitoring platform as claimed in claim 1 further comprising: the authority identification module is used for identifying the maintenance authority of the operation and maintenance personnel when the detection result is output;
the identification steps of the operation of the authority identification module are as follows:
the method comprises the following steps: acquiring a face image of an operation and maintenance person through a data acquisition layer, processing the image, determining authority information, and determining a data calling authority of the operation and maintenance person according to the authority information;
step two: determining the maintenance authority of the operation and maintenance personnel according to the data calling authority;
step three: calling a maintenance record of the operation and maintenance personnel according to the maintenance authority;
step four: and identifying whether the detection results have the same equipment to be maintained or not according to the maintenance records, and maintaining when the detection results have the same equipment to be maintained.
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| CN115327956A (en) * | 2022-07-06 | 2022-11-11 | 中科星云物连科技(北京)有限公司 | Real-time remote monitoring system for power and environment of data shelter |
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| CN115327956A (en) * | 2022-07-06 | 2022-11-11 | 中科星云物连科技(北京)有限公司 | Real-time remote monitoring system for power and environment of data shelter |
| CN114994264A (en) * | 2022-07-28 | 2022-09-02 | 江苏荣泽信息科技股份有限公司 | Park digital monitoring platform based on block chain enterprise-level ledger |
| CN114994264B (en) * | 2022-07-28 | 2022-11-08 | 江苏荣泽信息科技股份有限公司 | Park digital monitoring platform based on block chain enterprise-level ledger |
| CN116609606A (en) * | 2023-07-17 | 2023-08-18 | 北京四方必施恩科技有限公司 | Railway moving ring real-time safety detection system based on artificial intelligence |
| CN116609606B (en) * | 2023-07-17 | 2023-10-17 | 北京四方必施恩科技有限公司 | Railway moving ring real-time safety detection system based on artificial intelligence |
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