CN114323116B - Power system monitoring method, device and computer equipment - Google Patents
Power system monitoring method, device and computer equipment Download PDFInfo
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- CN114323116B CN114323116B CN202111360277.1A CN202111360277A CN114323116B CN 114323116 B CN114323116 B CN 114323116B CN 202111360277 A CN202111360277 A CN 202111360277A CN 114323116 B CN114323116 B CN 114323116B
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S40/00—Systems for electrical power generation, transmission, distribution or end-user application management characterised by the use of communication or information technologies, or communication or information technology specific aspects supporting them
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Abstract
The application relates to a power system monitoring method, a device and computer equipment. The method comprises the steps of acquiring temperature and noise data of an environment where the power system is located, acquiring the change degree of the environment data in a preset time period according to the temperature and the noise data, and further determining whether a power attack event exists in the power system according to the change degree. In the method, as the sensor and the machine room environment cannot be tampered, whether the electric power attack event exists or not can be found more quickly, the condition that the electric power attack event cannot be detected or is not detected in time in the prior art is avoided, and the continuity and the reliability of a power supply system are ensured. In addition, the method can monitor the running states of the equipment and security in real time, record and process related data, timely detect faults, timely inform on-duty personnel of fault information, improve the reliability of the data center and the safety of communication equipment, and provide powerful technical support for the management automation and intelligent operation of the data center.
Description
Technical Field
The present application relates to the field of network security technologies, and in particular, to a method and an apparatus for monitoring a power system, and a computer device.
Background
A data center is a worldwide collaboration of specific equipment networks used to communicate, accelerate, expose, calculate, store data information over the internet infrastructure. The data center capacity utilization represents the use of operating costs and energy efficiency, and in order to increase the data center capacity utilization, many data centers employ "overstock" strategies to varying degrees to increase the power consumption capacity utilization. However, once overstocked is utilized by a malicious attacker, the probability of overload can far exceed the previously set targets, thereby bringing a significant risk of downtime.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a power system monitoring method, apparatus, and computer device that can solve the foregoing problems.
A method of power system monitoring, the method comprising:
collecting environment data in an electric power system, wherein the environment data at least comprises temperature and noise of the environment where the electric power system is located;
acquiring the change degree of the environmental data in a preset time period;
and determining whether the power system has a power attack event according to the change degree.
In one embodiment, the determining whether the power system has a power attack event according to the variation degree includes:
And if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, determining that a power attack event exists in the power system.
In one embodiment, the change degree includes a change trend and a change amount, and the degree of the temperature satisfying the preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value;
the noise change degree meeting the preset abnormal conditions comprises the following steps: the change trend of the noise is continuously increased, and the change amount of the noise is larger than a preset temperature threshold value.
In one embodiment, if the degree of variation of the temperature and the degree of variation of the noise both meet a preset abnormal condition, determining whether the power system has a power attack event includes:
if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system;
and determining whether a power attack event exists in the power system according to the energy consumption data.
In one embodiment, the determining whether the power system has a power attack event according to the energy consumption data includes:
And if the value of at least one data of the energy consumption data exceeds a corresponding preset threshold value, determining that a power attack event exists in the power system.
In one embodiment, the method further comprises:
if the degree of change of the temperature meets the preset abnormal condition and the degree of change of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system;
if the fire disaster occurs, the first alarm information is output.
In one embodiment, the method further comprises:
if the degree of change of the temperature does not meet the preset abnormal condition, and the degree of change of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal or not;
and if the power equipment is abnormal, outputting second alarm information.
In one embodiment, the collecting environmental data in the power system includes:
the temperature is acquired through temperature sensors arranged on the power cabinet and the power train head cabinet; and collecting the noise through noise sensors arranged on the power cabinet and the power train head cabinet.
An electrical power system monitoring device, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring environmental data in a power system, and the environmental data at least comprises the temperature and noise of the environment where the power system is located;
the acquisition module is used for acquiring the change degree of the environmental data in a preset time period;
and the determining module is used for determining whether the power system has a power attack event according to the change degree.
A computer device comprising a memory storing a computer program and a processor which when executing the computer program performs the steps of:
collecting environment data in an electric power system, wherein the environment data at least comprises temperature and noise of the environment where the electric power system is located;
acquiring the change degree of the environmental data in a preset time period;
and determining whether the power system has a power attack event according to the change degree.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
collecting environment data in an electric power system, wherein the environment data at least comprises temperature and noise of the environment where the electric power system is located;
Acquiring the change degree of the environmental data in a preset time period;
and determining whether the power system has a power attack event according to the change degree.
According to the power system monitoring method, the power system monitoring device and the computer equipment, the temperature and noise data of the environment where the power system is located are acquired, the change degree of the environment data in the preset time period is acquired according to the temperature and the noise data, and further whether a power attack event exists in the power system is determined according to the change degree. In the method, as the sensor and the machine room environment cannot be tampered, whether the electric power attack event exists or not can be found more quickly, the condition that the electric power attack event cannot be detected or is not detected in time in the prior art is avoided, and the continuity and the reliability of a power supply system are ensured. In addition, the method can monitor the running states of the equipment and security in real time, record and process related data, timely detect faults, timely inform on-duty personnel of fault information, improve the reliability of the data center and the safety of communication equipment, and provide powerful technical support for the management automation and intelligent operation of the data center.
Drawings
FIG. 1.1 is an application environment diagram of a power system monitoring method in one embodiment;
FIG. 1.2 is an application environment diagram of a power system monitoring method in one embodiment;
FIG. 2 is a flow chart of a method of monitoring a power system according to one embodiment;
FIG. 3 is a flow chart of a method of monitoring a power system according to another embodiment;
FIG. 4 is a flow chart of a method of monitoring a power system according to another embodiment;
FIG. 5 is a flow chart of a method of monitoring a power system according to another embodiment;
FIG. 6 is a flow chart of a method of monitoring a power system according to another embodiment;
FIG. 7 is a block diagram of a power system monitoring device in one embodiment;
FIG. 8 is a block diagram of a power system monitoring device in another embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The power system monitoring method provided by the application can be applied to application environments shown in fig. 1.1 and 1.2. According to the three-layer monitoring architecture of the network, namely a first-level monitoring center (Supervision Center, SC), a second-level monitoring station (Supervision Station, SS), a third-level monitoring Unit (SU) and a monitoring module (Supervision Module, SM). According to the actual condition of the monitoring current situation and the size of the monitoring scale, the following deployment structure mode can be adopted reasonably for use and construction: the single SU primary construction mode is single-point monitoring; two-stage construction modes of flattened structures such as SS, SU/SC, SU and the like, namely multipoint monitoring of central management; and the SC, SS and SU three-level construction mode is a multi-layer multi-point structure managed by a center.
As shown in fig. 1.1, the integrated ring system is in a single SU primary construction mode, namely a single point monitoring mode. The system mainly collects data from five aspects of environment monitoring, safety protection, power monitoring, power distribution monitoring and image monitoring, the collected data is transmitted to a monitoring center server, and the monitoring center server can analyze and process the data and then display the data on a centralized monitoring platform and can also directly display the collected data. If abnormal conditions occur, the abnormal conditions can be output through a short message alarm and client alarm mode. Further, the user can trigger a corresponding instruction to inquire the data through the client or the browser. According to standard requirements, the integrated ring system needs to meet the following basic elements: and monitoring and controlling the temperature, dew point temperature or relative humidity and other environmental parameters of the main machine room and the auxiliary area, and alarming and recording when the environmental parameters exceed set values. The core equipment area and the high-density equipment area are preferably provided with a cabinet microenvironment monitoring system; the water leakage detection and alarm device should be arranged at the position in the main machine room where water is likely to happen; the running state of the forced drainage equipment should be incorporated into the monitoring system; the installation quantity and the installation position of the environment detection equipment are determined according to the operation and control requirements, and the environment temperature, the dew point temperature or the relative humidity of the main machine room are determined by taking the measurement parameters of a cold channel or an air supply area as the reference; the equipment monitoring system is suitable for monitoring, alarming and recording the running state and the energy consumption of the electromechanical equipment. The equipment such as special air conditioning equipment for a machine room, a water chilling unit, a diesel generator set, an uninterruptible power supply system and the like is provided with a monitoring system, the monitored main parameters are included in the equipment monitoring system, and the communication protocol meets the requirements of the equipment monitoring system.
In the comprehensive moving ring system, the temperature sensor and the noise sensor are added into the machine room environment module of the comprehensive moving ring system, the temperature sensor is linked with the machine room environment module of the comprehensive moving ring system, and relevant monitoring points are increased. As shown in fig. 1.2, for a monitored object 1, a sensor 2 transmits temperature and noise data acquired on the monitored object 1 to a monitoring center server 3, and the server 3 analyzes and processes the data to obtain the change degree of environmental data in a preset time period, and determines whether a power attack event exists in a power system according to the change degree. The server 3 may be implemented as a stand-alone server or as a server cluster composed of a plurality of servers.
In the related art, although some new power supply system designs are presented, a typical power supply system follows a multi-layered tree structure: the root node is started by an external high-voltage power network, is connected to the power transformation equipment of the data center, is then connected to each power distribution unit (Power Distribution Unit, PDU), then transmits power to the power distribution units of each cabinet, and finally is supplied to the server for use. There is also typically a backup power source and generator to handle the power outage situation. Depending on the design of the data center, there may also be multiple power supply systems to improve the overall reliability of the power supply system. The capacity of a data center is typically measured in kW, i.e., the total power of IT equipment that can be supported, also called critical power, but this capacity does not include the power of non-IT systems (e.g., air conditioning). Each layer of power supply equipment has its own rated capacity except for the overall rated power capacity of the data center. However, building or increasing power capacity is very expensive and is also limited by the power supplied by the external grid, so the rated power of the data center is a very limited resource, and even in hot areas such as silicon valleys, it is very difficult to find a data center that can provide high power capacity.
For limited resources, one common strategy to increase its utilization is "overstock," i.e., the allocation of limited resources to multiple users, with the sum of the allocated resources for all users being greater than the actual total amount of resources. This strategy can be feasible because of the statistical multiplexing, i.e. each user will not utilize 100% of its allocated resources most of the time, so that the probability of resource overload due to overstock is very small from a statistical point of view. Therefore, as server Power consumption and dynamic load become more and more proportional (Power Proportionality), there are very many opportunities for overstocking Power capacity in the data center, and in addition, redundancy of existing Power supply systems in the data center, and Power Capping (CP) technology of various servers can well cope with short-time overload phenomenon, and many data centers adopt overstocking strategies to improve Power consumption capacity utilization to different degrees. For example, virtualization is utilized to increase the utilization of cloud computing resources, and airlines utilize super-sold tickets to increase the rate of boarding.
Normally, the probability of power overload due to overstock of power capacity resources is very low. However, once overstocked is utilized by a malicious attacker, the probability of overload can far exceed the previously set targets, thereby bringing a significant risk of downtime. Even though redundancy of the data center power supply system provides a certain protection, when the rated power capacity is overloaded, the probability of downtime is still about 300 times higher than that of the normal overload condition, and the potential loss caused by the overload condition is huge. In 2017, the data center of the uk aviation was down due to power failure, all aircraft had to land immediately, with a total loss of over $ 1 million. On the other hand, an attacker needs to rent a certain scale of power capacity within the target data center, a cost that is not affordable to average individual users.
In summary, the root of a power attack in a data center is the overstock of power capacity. Although the data center may take various measures to cope with the risks of overstock, as long as overstock exists, attacks against power capacity overload cannot be stopped. The power attack may be analogized to a denial of service attack on network capacity, but the power attack is directed to the rated capacity of the data center power supply system. Like the attack against the network capacity, if the purpose of the power attack is to be achieved, an attacker needs to make the power consumption of the data center exceed the rated capacity of the power supply system, but if the power attack is not prepared, the power attack is likely to become an attack means used by the attacker, and thus huge risks and losses of downtime are caused.
Based on the above, the embodiment of the application provides a power system monitoring method, a device and computer equipment, which are used for monitoring the running state and environment data of the equipment in real time so as to quickly find whether a power attack event exists.
In one embodiment, as shown in fig. 2, a power system monitoring method is provided, and the method is applied to the server in fig. 1 for illustration, and includes the following steps:
S201, collecting environment data in the power system, wherein the environment data at least comprises temperature and noise of the environment where the power system is located.
In this embodiment, the temperature and noise of the environment where the power system is located may be collected by using a temperature sensor and a noise sensor. The temperature sensor converts the temperature into a usable output signal for output, and the metal in the temperature sensor generates a corresponding extension after the ambient temperature changes, so that the temperature sensor can perform signal conversion on the reaction in different ways, thereby acquiring the temperature of the environment where the power system is located. The noise sensor is used for receiving sound waves, the sensor is internally provided with a capacitive electret microphone which is sensitive to the sound, the sound waves enable an electret film in the microphone to vibrate, the capacitance is changed, a tiny voltage corresponding to the change is generated, the voltage is then transmitted to the server, the noise is displayed on a display interface of the server in the form of voltage values, and therefore the noise of the environment where the power system is located is obtained.
Alternatively, the temperature sensor may be a thermocouple sensor, a thermistor sensor, a resistance temperature detector, an IC temperature sensor; the noise sensor may be a piezoelectric ceramic sensor, a capacitive sensor, a moving coil sensor, or an electret sensor, which is not limited in this regard.
S202, acquiring the change degree of the environmental data in a preset time period.
The change degree comprises a change trend and a change amount of the environmental data, wherein the change trend is increased or decreased, and the change amount is the change value of the environmental data. For example, at this time the time is 12:00:00, temperature is 18 degrees, and the noise level is 50 decibels, and preset time period is 5 seconds, at 12:00:05 detects a temperature of 21 degrees, a noise level of 52 db, at 12:00:10 detects a temperature of 20 degrees and a sound level of 55 db, thus, at 12:00:00 to 12:00:05, the change trend of temperature and noise is increased, the change amount of temperature is 3 degrees, and the change amount of noise is 2 decibels; at 12:00:05 to 12:00:10, the trend of temperature change is reduced, the trend of noise change is increased, the temperature change is 1 degree, and the noise change is 3 db.
In this embodiment, the server may periodically obtain the degree of change of the environmental data in a preset time period, for example, the preset time period is 5 seconds, the cycle time is one minute, the cycle time includes 12 preset time periods in total, the server may output the degree of change of the environmental data every one minute, and each output may obtain the degree of change of the environmental data in 12 time periods; the change degree of the real-time environmental data in a preset time period can also be realized, for example, the preset time period is 5 seconds, the sensor collects data in real time, and the server outputs the change degree of the collected environmental data every 5 seconds; the change degree of the environmental data in the preset time period after the user instruction is received, for example, the user triggers a corresponding control instruction, and the change degree of the environmental data in the preset time period is obtained.
And S203, determining whether a power attack event exists in the power system according to the change degree.
In this embodiment, it is determined whether the power system has a power attack event according to the degree of change, for example, the time is 12:00:00, temperature is 18 degrees, and the noise level is 50 decibels, and preset time period is 5 seconds, at 12:00:05 detects a temperature of 21 degrees, a noise level of 52 db, at 12:00:10 detects a temperature of 20 degrees, a sound level of 55 db, at 12:00:15 detects a temperature of 40 degrees and a sound size of 100 db. Thus, at 12:00:00 to 12:00:05, the change trend of temperature and noise is increased, the change amount of temperature is 3 degrees, and the change amount of noise is 2 decibels; at 12:00:05 to 12:00:10, the trend of temperature change is decreasing, the trend of noise change is increasing, the temperature change is 1 degree, the noise change is 3 db, and 12:00:10 to 12:00:15, the change trend of temperature and noise is increased, the change of temperature is 20 degrees, and the change of noise is 45 db. Three different degrees of change of the environmental data are respectively obtained in the three time periods, and according to the three different degrees of change, whether the power system has a power attack event in the corresponding time period is respectively determined. For example, at 12:00:00 to 12:00:05 and 12:00:05 to 12:00: in both periods 10, the degree of change in temperature and noise falls within normal fluctuations, but at 12:00:10 to 12:00:15 there are obviously anomalies in the temperature and the degree of variation of the noise during this period.
Further, for 12:00:10 to 12:00:15, it may be further determined whether a power system has a power attack event. For example, according to a video monitoring system, the running state of equipment can be monitored in real time, and whether a power attack event exists in the power system can be judged; the energy consumption data can be recorded and processed according to the energy consumption data acquired by the sensor, and whether the power system has a power attack event is judged; or notifying security personnel or operators on duty to carry out patrol inspection to judge whether the power system has a power attack event.
In the power system monitoring method, temperature and noise data of the environment where the power system is located are collected, the change degree of the environment data in a preset time period is obtained according to the temperature and noise data, and further whether a power attack event exists in the power system is determined according to the change degree. In the method, due to the non-falsifiability of the sensor and the machine room environment, whether the electric power attack event exists or not can be found more quickly, the condition that the electric power attack event cannot be detected or is not detected in time in the prior art is avoided, and the continuity and the reliability of a power supply system are ensured. In addition, the method can monitor the running states of the equipment and security in real time, record and process related data, timely detect faults, timely inform on-duty personnel of fault information, improve the reliability of the data center and the safety of communication equipment, and provide powerful technical support for the management automation and intelligent operation of the data center.
In one embodiment, determining whether a power system has a power attack event based on the degree of change includes: if the change degree of the temperature and the change degree of the noise meet the preset abnormal conditions, determining that a power attack event exists in the power system.
Optionally, the degree of change in temperature satisfying the preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value; the degree of change of the noise satisfying the preset abnormal condition includes: the variation trend of the noise is continuously increased, and the variation amount of the noise is larger than a preset temperature threshold value.
In this embodiment, for example, the preset abnormal condition is that the temperature rises 20 degrees in 5 seconds, and the variation of noise decibels in this period is 40 decibels. At this time, the time was 12:00:00, temperature is 18 degrees, and the noise level is 50 decibels, and preset time period is 5 seconds, at 12:00:05 detects a temperature of 21 degrees, a noise level of 52 db, at 12:00:10 detects a temperature of 20 degrees, a sound level of 55 db, at 12:00:15 detects a temperature of 40 degrees and a sound size of 100 db. Thus, at 12:00:00 to 12:00:05, the change trend of temperature and noise is increased, the change amount of temperature is 3 degrees, and the change amount of noise is 2 decibels; at 12:00:05 to 12:00:10, the trend of temperature change is decreasing, the trend of noise change is increasing, the temperature change is 1 degree, the noise change is 3 db, and 12:00:10 to 12:00:15, the change trend of temperature and noise is increased, the change of temperature is 20 degrees, and the change of noise is 45 db. It can be seen that at 12:00:00 to 12:00:05 and 12:00:05 to 12:00:10, the degree of change of the temperature and the degree of change of the noise do not satisfy the preset abnormal conditions in two preset time periods. At 12:00:10 to 12:00:15, in the preset time period, the degree of change of the temperature and the degree of change of the noise both meet the preset abnormal conditions, and the determination needs to be made at 12:00:10 to 12:00:15, if the power system has a power attack event.
In the embodiment of the application, when the change degree of the temperature and the change degree of the noise meet the preset abnormal conditions, the power attack event of the power system is determined, and the environmental data is analyzed and processed, so that the safety and stability of the machine room environment can be ensured, the efficient operation of the machine room equipment and the network can be ensured, the network operation quality can be improved, and the accident rate can be reduced to the greatest extent.
The above embodiment mainly describes whether the power system has an abnormal condition met by a power attack event, and when the degree of change of temperature and the degree of change of noise both meet the preset abnormal condition, the embodiment may further determine whether the power attack event exists according to the energy consumption of the power system, as shown in fig. 3, including the following steps:
s301, if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system.
The integrated dynamic ring system is a part of an environment and equipment monitoring system (defined in GB50174-2017 data center design specification), and mainly aims at the projects of power equipment (high-voltage power distribution equipment, low-voltage power distribution equipment, rectifying equipment, direct-current power distribution equipment, storage battery packs, diesel generating sets, uninterruptible power supplies and the like), environment (video, air conditioner, lamplight, spraying, smoke, door magnetism, entrance guard, infrared, temperature and humidity, soaking, glass breaking, harmful gas and the like) and cable resources (distribution frame, cable burglary prevention) and the like to realize centralized remote monitoring. The energy consumption data is data reflecting various energy consumption amounts, and is used to describe the size and type of the energy consumption amounts, so it can be seen from table 1 that the energy consumption data includes detection data corresponding to the case where the monitoring object is a power plant in table 1. For example, a three-phase voltage or current of the high-voltage distribution device, a high-voltage operation power supply voltage of the high-voltage distribution device.
Table 1 comprehensive moving ring system
From the above steps, at 12:00:10 to 12:00:15, in the preset time period, the variation degree of the temperature and the variation degree of the noise meet the preset abnormal conditions. Thus, further acquisition 12 is required: 00:10 to 12:00:15 energy consumption data of the devices of the power system for this preset period of time, and 12:00:00 to 12:00:05 and 12:00:05 to 12:00: these two preset time periods of 10 do not require the acquisition of energy consumption data of the devices of the power system.
S302, determining whether a power attack event exists in the power system according to the energy consumption data.
Optionally, if the value of at least one data of the energy consumption data exceeds a corresponding preset threshold value, determining that a power attack event exists in the power system. In this embodiment, as shown in table 1, the "configuration" parameter includes a blank column and an alarm parameter setting, where the blank column indicates that the parameter of the energy consumption data for alarming is based on the national standard, and therefore, the preset threshold of the energy consumption data is specified by the national standard. For example, preset thresholds of energy consumption data of rectifying equipment, diesel generator sets, alternating current voltage regulators and alternating current Uninterruptible Power Supplies (UPS) are based on national standards; if the corresponding alarm parameter setting exists in the 'configuration' parameter, the energy consumption data is indicated to be without national standard, and a preset threshold value can be set according to the actual condition of the machine room. For example, the preset threshold values for the energy consumption data of the high-voltage power distribution device, the low-voltage power distribution device, and the storage battery may be set by themselves.
In this embodiment, taking the above step S301 as an example, at 12:00:10-12:00:15, in the time period, the variation degree of the temperature and the variation degree of the noise meet the preset abnormal conditions, and at the moment, the energy consumption data in the time period are acquired. Taking the alternating current input voltage of the rectifying equipment as an example, the national standard prescribes that the normal range of the alternating current input voltage of the rectifying equipment is 220V-240V, and when the sensor monitors that the alternating current input voltage of the rectifying equipment exceeds 240V, determining that a power attack event exists in the power system; when the sensor monitors that the alternating current input voltage of the rectifying equipment does not exceed 240V, determining that a power attack event does not exist in the power system; or taking the total voltage of the storage battery as an example, setting a preset threshold value of the total voltage of the storage battery as 50V, determining that no power attack event exists in the power system when the total voltage of the storage battery monitored by the sensor does not exceed 240V, and determining that the power attack event exists in the power system when the total voltage of the storage battery monitored by the sensor exceeds 240V. Further, if the energy consumption data exceeds a preset threshold, the state of the device can be changed by remote control, for example, the closing or opening of a control switch can be controlled.
In the embodiment of the application, whether the electric power system has an electric power attack event is further determined by judging whether the change degree of temperature and the change degree of noise meet the preset abnormal conditions, if the change degree of temperature and the change degree of noise meet the preset abnormal conditions, the energy consumption data of equipment of the electric power system is obtained, and whether the electric power system has the electric power attack event is determined according to the energy consumption data. According to the method, the temperature sensor and the noise sensor cannot be changed due to power attack, so that when the degree of change of the temperature data and the noise data is abnormal, whether a power attack event exists can be found out more quickly, and further the judgment result is more accurate through comprehensive judgment of the energy consumption data.
The above embodiment mainly describes a way to determine whether it is an electric power attack by the degree of change of temperature and the degree of change of noise, and besides the above method, there are two other ways, as shown in fig. 4, in which one way includes the following steps:
s401, if the change degree of the temperature meets the preset abnormal condition and the change degree of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system.
In this embodiment, for example, the abnormal condition is that the temperature rises 20 degrees in 5 seconds, and the noise decibels rise 40 decibels in this period. At this time, the time was 12:00:00, temperature is 18 degrees, and the noise level is 50 decibels, and preset time period is 5 seconds, at 12:00:05 detects a temperature of 21 degrees, a noise level of 52 db, at 12:00:10 detects a temperature of 20 degrees, a sound level of 55 db, at 12:00:15 detects a temperature of 40 degrees and a sound level of 54 db. Thus, at 12:00:00 to 12:00:05, the change trend of temperature and noise is increased, the change amount of temperature is 3 degrees, and the change amount of noise is 2 decibels; at 12:00:05 to 12:00:10, the trend of temperature change is decreasing, the trend of noise change is increasing, the temperature change is 1 degree, the noise change is 3 db, and 12:00:10 to 12:00:15, the trend of temperature change is increased, the trend of noise change is decreased, the temperature change is 20 degrees, and the noise change is 1 db. It can be seen that at 12:00:00 to 12:00:05 and 12:00:05 to 12:00:10, the degree of change of the temperature and the degree of change of the noise do not satisfy the preset abnormal conditions in two preset time periods. At 12:00:10 to 12:00:15, in the preset time period, the change degree of the temperature meets the preset abnormal condition, and the change degree of the noise does not meet the preset abnormal condition. At this time, whether the fire phenomenon occurs in the power system can be detected according to a video monitoring system or a manual inspection mode.
S402, if a fire phenomenon occurs, outputting first alarm information.
The first alarm information is used for indicating the fire disaster in the user power system.
In this embodiment, if a fire disaster occurs, the first alarm information is output, including displaying an alarm on a display, and performing an alarm prompt by popping up an abnormal window, an alarm icon and an alarm indicator lamp on the display; when the user is within a certain range from the display screen, the user can be reminded through an alarm prompt tone; or sending a short message alarm and an email alarm to the mobile phone of the user. Further, the change degree of the temperature can be obtained according to the temperature information detected by the sensor, and the alarm information can be graded according to the change degree of the temperature. For example, if the temperature rises by 5 degrees within 5 seconds, the first level may be regarded as a normal condition, and the first warning information is not output; if the temperature rises by 10 degrees in 5 seconds, the temperature rises by 15 degrees in 5 seconds as a second level, the temperature rises by 20 degrees in 5 seconds as a third level, and the severity of the fire is indicated by the magnitude of the warning sound and the degree of urgency of the warning sound as a fourth level.
In this embodiment, if a fire phenomenon occurs, the intelligent fire monitoring subsystem may be started, and the fire protection facility automatically opens to control the development trend of the fire, so that some abnormal situations in the machine room may be handled before the staff arrives, preventing the fire phenomenon from spreading, causing unnecessary loss, and improving the safety measures.
In the embodiment of the application, if the degree of change of the temperature detected by the temperature sensor meets the preset abnormal condition and the degree of change of the noise detected by the noise sensor does not meet the preset abnormal condition, whether a fire disaster phenomenon occurs in the power system is further detected. If the fire disaster occurs, the first alarm information is output. In the method, the fire phenomenon is detected through the abrupt change of the temperature, so that the erroneous judgment is prevented.
The embodiment of fig. 4 above describes one method for determining whether a power attack exists, and as shown in fig. 5, another method includes the following steps:
s501, if the degree of change of the temperature does not meet the preset abnormal condition, and the degree of change of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal.
In this embodiment, for example, the abnormal condition is that the temperature rises 20 degrees in 5 seconds, and the noise decibels rise 40 decibels in this period. At this time, the time was 12:00:00, temperature is 18 degrees, and the noise level is 50 decibels, and preset time period is 5 seconds, at 12:00:05 detects a temperature of 21 degrees, a noise level of 52 db, at 12:00:10 detects a temperature of 20 degrees, a sound level of 55 db, at 12:00:15 detects a temperature of 22 degrees and a sound size of 100 db. Thus, at 12:00:00 to 12:00:05, the change trend of temperature and noise is increased, the change amount of temperature is 3 degrees, and the change amount of noise is 2 decibels; at 12:00:05 to 12:00:10, the trend of temperature change is decreasing, the trend of noise change is increasing, the temperature change is 1 degree, the noise change is 3 db, and 12:00:10 to 12:00:15, the trend of temperature and noise change is increased, the temperature change is 2 degrees, and the noise change is 55 db. It can be seen that at 12:00:00 to 12:00:05 and 12:00:05 to 12:00:10, the degree of change of the temperature and the degree of change of the noise do not satisfy the preset abnormal conditions in two preset time periods. At 12:00:10 to 12:00:15, in the preset time period, the change degree of the temperature does not meet the preset abnormal condition, and the change degree of the noise meets the preset abnormal condition. At this time, whether the equipment is abnormal or not can be detected through a monitoring video or manual inspection mode, for example, the fan is blocked to cause the fan to generate great noise in a short time, or because the fan motor bearing is worn out, the shaft clearance is too large, and the vibration aggravates noise when the fan blade rotates.
S502, if the power equipment is abnormal, outputting second alarm information.
The second alarm information is used for indicating abnormal conditions of power equipment in the power system.
In this embodiment, if the power device is abnormal, the second alarm information is output, including displaying an alarm on the display, and performing an alarm prompt by popping up an abnormal window, an alarm icon and an alarm indicator lamp on the display; when the user is within a certain range from the display screen, the user can be reminded through an alarm prompt tone; or sending a short message alarm and an email alarm to the mobile phone of the user. The noise sensor converts the detected noise into an electric signal according to the detected noise, obtains the change degree of the noise through analysis and processing of the electric signal, and divides the noise into different grades according to the change degree of the noise so as to output second alarm information of different grades. For example, if the noise rises by 10 db within 5 seconds, the first level may be regarded as normal, and the second warning information is not output; if the noise rises by 20 db within 5 seconds, the noise rises by 30 db within 5 seconds as a second level, the noise rises by 40 db or more within 5 seconds as a third level, and the magnitude of the generated noise change degree is indicated by the magnitude of the warning alert tone and the degree of jerkiness of the warning alert tone as a fourth level.
In the embodiment of the application, if the degree of change of the temperature does not meet the preset abnormal condition and the degree of change of the noise meets the preset abnormal condition, whether the power equipment in the power system is abnormal or not is detected, and if the power equipment is abnormal, the second alarm information is output. In the method, the abnormal condition of the power equipment is monitored according to the noise data, so that the safety of the communication equipment in the machine room is ensured. In addition, when the alarm information is output, data, images and sound can be monitored in a centralized way on a platform, the alarm levels of multiple stages can be distinguished, and the alarm processing function is strong.
In one embodiment, collecting environmental data in a power system includes: acquiring temperature through temperature sensors arranged on the power cabinet and the power train head cabinet; and collecting noise by the noise sensors arranged on the power cabinet and the power train head cabinet.
In the embodiment, when the electric overload phenomenon occurs, a thermal conductivity effect is generated, the heat dissipation capacity is rapidly increased, the content of hot air is rapidly increased, temperature sensors are arranged on the electric power cabinet and the electric power train head cabinet to collect temperature, the temperature change can be more accurately detected, in the prior art, the temperature sensors are arranged near an air outlet of an air conditioner, and the temperature sensors are insensitive to the detection of the hot air; in addition, when the power is overloaded, the rotation speed of the fan is continuously increased in a short time, a large amount of noise is generated, and noise sensors are arranged on the power cabinet and the power train head cabinet to collect the noise, but the collection of noise information is not considered in the prior art.
In the embodiment of the application, the temperature is acquired through the temperature sensors arranged on the power cabinet and the power train head cabinet; and collecting noise by the noise sensors arranged on the power cabinet and the power train head cabinet. The environmental data can be not tampered, and the environmental data is monitored simultaneously through the temperature sensor and the noise sensor, so that the judgment is more accurate.
Further, the power system monitoring method further comprises the following steps:
s601, acquiring temperatures through temperature sensors arranged on the power cabinet and the power train head cabinet; collecting noise through noise sensors arranged on the power cabinet and the power train head cabinet;
s602, acquiring the change degree of the environmental data in a preset time period;
s603, determining whether a power attack event exists in the power system according to the change degree;
s604, if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system;
s605, if the value of at least one data of the energy consumption data exceeds a corresponding preset threshold value, determining that a power attack event exists in the power system;
s606, if the change degree of the temperature meets the preset abnormal condition and the change degree of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system;
S607, if the fire disaster occurs, outputting a first alarm message;
s608, if the change degree of the temperature does not meet the preset abnormal condition, and the change degree of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal;
s609, if the power equipment is abnormal, outputting second alarm information.
In the embodiment of the application, the temperature and noise data of the environment where the power system is located are acquired, the change degree of the environment data in a preset time period is acquired according to the temperature and noise data, and further, whether the power system has a power attack event is determined according to the change degree. In the method, as the sensor and the machine room environment cannot be tampered, whether the electric power attack event exists or not can be found more quickly, the condition that the electric power attack event cannot be detected or is not detected in time in the prior art is avoided, and the continuity and the reliability of a power supply system are ensured. In addition, the method can monitor the running states of the equipment and security in real time, record and process related data, timely detect faults, timely inform on-duty personnel of fault information, improve the reliability of the data center and the safety of communication equipment, and provide powerful technical support for the management automation and intelligent operation of the data center.
It should be understood that, although the steps in the flowcharts of fig. 2-6 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 2-6 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor does the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, as shown in fig. 7, there is provided a power system monitoring apparatus including: an acquisition module 11, an acquisition module 12 and a determination module 13, wherein:
the acquisition module 11 is configured to acquire environmental data in an electric power system, where the environmental data at least includes temperature and noise of an environment where the electric power system is located;
an acquisition module 12, configured to acquire a degree of change of the environmental data in a preset time period;
A determining module 13, configured to determine whether a power attack event exists in the power system according to the degree of variation.
In one embodiment, the determining module 13 is configured to determine that a power attack event exists in the power system if the variation degree of the temperature and the variation degree of the noise both meet the preset abnormal conditions.
In one embodiment, the determining module 13, configured to change the degree to include a change trend and a change amount, where the degree of change of the temperature satisfies a preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value; the degree of change of the noise satisfying the preset abnormal condition includes: the variation trend of the noise is continuously increased, and the variation amount of the noise is larger than a preset temperature threshold value.
In one embodiment, the determining module 13 is configured to obtain energy consumption data of a device of the power system if the degree of variation of the temperature and the degree of variation of the noise both meet a preset abnormal condition; and determining whether a power attack event exists in the power system according to the energy consumption data.
In one embodiment, the determining module 13 is configured to determine that a power attack event exists in the power system if the value of at least one data of the energy consumption data exceeds a corresponding preset threshold.
In one embodiment, the determining module 13 is configured to detect whether a fire phenomenon occurs in the power system if the degree of change of the temperature meets a preset abnormal condition and the degree of change of the noise does not meet the preset abnormal condition; if the fire disaster occurs, the first alarm information is output.
In one embodiment, the determining module 13 is configured to detect whether an abnormality occurs in a power device in the power system if the degree of change of the temperature does not satisfy a preset abnormal condition and the degree of change of the noise satisfies the preset abnormal condition; and if the power equipment is abnormal, outputting second alarm information.
In one embodiment, as shown in fig. 8, the acquisition module 11 includes:
a first acquisition unit 111 for acquiring temperatures by temperature sensors provided on the power cabinet and the power train head cabinet;
the second acquisition unit 112 is used for acquiring noise through noise sensors arranged on the power cabinet and the power train head cabinet.
For specific limitations on the power system monitoring device, reference may be made to the above limitation on the power system monitoring method, and no further description is given here. The various modules in the power system monitoring device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of power system monitoring. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
collecting environmental data in the power system, wherein the environmental data at least comprises temperature and noise of the environment where the power system is located;
acquiring the change degree of the environmental data in a preset time period;
and determining whether a power attack event exists in the power system according to the change degree.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the change degree of the temperature and the change degree of the noise meet the preset abnormal conditions, determining that a power attack event exists in the power system.
In one embodiment, the degree of change includes a change trend and a change amount, and the degree of change of the temperature satisfies a preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value;
The degree of change of the noise satisfying the preset abnormal condition includes: the variation trend of the noise is continuously increased, and the variation amount of the noise is larger than a preset temperature threshold value.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system;
and determining whether a power attack event exists in the power system according to the energy consumption data.
In one embodiment, the processor when executing the computer program further performs the steps of:
and if the value of at least one data of the energy consumption data exceeds the corresponding preset threshold value, determining that a power attack event exists in the power system.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the change degree of the temperature meets the preset abnormal condition and the change degree of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system;
if the fire disaster occurs, the first alarm information is output.
In one embodiment, the processor when executing the computer program further performs the steps of:
if the degree of change of the temperature does not meet the preset abnormal condition, and the degree of change of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal or not;
And if the power equipment is abnormal, outputting second alarm information.
In one embodiment, the processor when executing the computer program further performs the steps of:
acquiring temperature through temperature sensors arranged on the power cabinet and the power train head cabinet; and
noise is collected by noise sensors disposed on the power cabinet and the power train head cabinet.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
collecting environmental data in the power system, wherein the environmental data at least comprises temperature and noise of the environment where the power system is located;
acquiring the change degree of the environmental data in a preset time period;
and determining whether a power attack event exists in the power system according to the change degree.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, determining that a power attack event exists in the power system.
In one embodiment, the degree of change includes a change trend and a change amount, and the degree of change of the temperature satisfies a preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value;
The degree of change of the noise satisfying the preset abnormal condition includes: the variation trend of the noise is continuously increased, and the variation amount of the noise is larger than a preset temperature threshold value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system;
and determining whether a power attack event exists in the power system according to the energy consumption data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and if the value of at least one data of the energy consumption data exceeds the corresponding preset threshold value, determining that a power attack event exists in the power system.
In one embodiment, the computer program when executed by the processor further performs the steps of:
if the change degree of the temperature meets the preset abnormal condition and the change degree of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system;
if the fire disaster occurs, the first alarm information is output.
In one embodiment, the computer program when executed by the processor further performs the steps of:
If the degree of change of the temperature does not meet the preset abnormal condition, and the degree of change of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal or not;
and if the power equipment is abnormal, outputting second alarm information.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring temperature through temperature sensors arranged on the power cabinet and the power train head cabinet; and
noise is collected by noise sensors disposed on the power cabinet and the power train head cabinet.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.
Claims (10)
1. A method of monitoring an electrical power system, the method comprising:
collecting environment data in an electric power system, wherein the environment data at least comprises temperature and noise of the environment where the electric power system is located;
acquiring the change degree of the environmental data in a preset time period;
and determining whether a power attack event exists in the power system according to the change degree, wherein the power system comprises an external high-voltage power grid, power transformation equipment and a power distribution unit, the power transformation equipment is arranged in a data center, the power distribution unit is arranged in a cabinet of the data center, the external high-voltage power grid is connected with the power transformation equipment, the power transformation equipment is connected with the power distribution unit, the power distribution unit is used for supplying power to a server of the data center, and the power attack event is an attack event that enables the power consumption of the data center to exceed the rated capacity of the power system.
2. The method of claim 1, wherein said determining whether a power attack event exists in the power system based on the degree of variation comprises:
and if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, determining that a power attack event exists in the power system.
3. The method according to claim 2, wherein the degree of change includes a change trend and a change amount, and the degree of change in the temperature satisfies a preset abnormal condition includes: the change trend of the temperature is continuously increased, and the change amount of the temperature is larger than a preset temperature threshold value;
the noise change degree meeting the preset abnormal conditions comprises the following steps: the change trend of the noise is continuously increased, and the change amount of the noise is larger than a preset temperature threshold value.
4. A method according to claim 2 or 3, wherein determining that a power attack event exists in the power system if the degree of variation of the temperature and the degree of variation of the noise both meet a preset abnormal condition comprises:
if the change degree of the temperature and the change degree of the noise meet preset abnormal conditions, acquiring energy consumption data of equipment of the power system;
And determining whether a power attack event exists in the power system according to the energy consumption data.
5. The method of claim 4, wherein said determining from said energy consumption data whether a power attack event exists for said power system comprises:
and if the value of at least one data of the energy consumption data exceeds a corresponding preset threshold value, determining that a power attack event exists in the power system.
6. A method according to claim 2 or 3, characterized in that the method further comprises:
if the degree of change of the temperature meets the preset abnormal condition and the degree of change of the noise does not meet the preset abnormal condition, detecting whether a fire disaster phenomenon occurs in the power system;
if the fire disaster occurs, the first alarm information is output.
7. A method according to claim 2 or 3, characterized in that the method further comprises:
if the degree of change of the temperature does not meet the preset abnormal condition, and the degree of change of the noise meets the preset abnormal condition, detecting whether the power equipment in the power system is abnormal or not;
and if the power equipment is abnormal, outputting second alarm information.
8. The method of claim 1, wherein the collecting environmental data in the power system comprises:
the temperature is acquired through temperature sensors arranged on the power cabinet and the power train head cabinet; and
the noise is collected through a noise sensor arranged on the power cabinet and the power train head cabinet.
9. An electrical power system monitoring device, the device comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for acquiring environmental data in a power system, and the environmental data at least comprises the temperature and noise of the environment where the power system is located;
the acquisition module is used for acquiring the change degree of the environmental data in a preset time period;
the power system comprises an external high-voltage power grid, power transformation equipment and a power distribution unit, wherein the power transformation equipment is arranged in a data center, the power distribution unit is arranged in a cabinet of the data center, the external high-voltage power grid is connected with the power transformation equipment, the power transformation equipment is connected with the power distribution unit, the power distribution unit is used for supplying power to a server of the data center, and the power attack event is an attack event for enabling the power consumption of the data center to exceed the rated capacity of the power system.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any one of claims 1 to 8 when the computer program is executed.
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