CN117630741A - Method, device, equipment and storage medium for detecting equipment leakage - Google Patents
Method, device, equipment and storage medium for detecting equipment leakage Download PDFInfo
- Publication number
- CN117630741A CN117630741A CN202311661700.0A CN202311661700A CN117630741A CN 117630741 A CN117630741 A CN 117630741A CN 202311661700 A CN202311661700 A CN 202311661700A CN 117630741 A CN117630741 A CN 117630741A
- Authority
- CN
- China
- Prior art keywords
- machine room
- energy consumption
- equipment
- traffic
- machine
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000005265 energy consumption Methods 0.000 claims abstract description 165
- 238000012544 monitoring process Methods 0.000 claims abstract description 43
- 230000005611 electricity Effects 0.000 claims abstract description 23
- 238000007689 inspection Methods 0.000 claims description 39
- 238000012423 maintenance Methods 0.000 abstract description 11
- 230000005856 abnormality Effects 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 description 23
- 238000013461 design Methods 0.000 description 20
- 208000032750 Device leakage Diseases 0.000 description 8
- 238000004891 communication Methods 0.000 description 8
- 238000012360 testing method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 210000001061 forehead Anatomy 0.000 description 4
- 239000000463 material Substances 0.000 description 4
- 239000002699 waste material Substances 0.000 description 4
- 230000000694 effects Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000032683 aging Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 238000000802 evaporation-induced self-assembly Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000007619 statistical method Methods 0.000 description 1
Abstract
The application provides a method, a device, equipment and a storage medium for detecting equipment leakage. The method comprises the following steps: inquiring a machine room equipment account according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room; acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room; judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and if so, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment ledger; and judging whether the machine room is leaked or not according to the service volume corresponding to the machine room and the service volumes corresponding to the other machine rooms. Whether the machine room equipment leaks electricity or not is comprehensively analyzed through the machine room movable ring monitoring data and the service data, abnormality can be timely found, and the machine room equipment is manually and accurately placed on a station for maintenance.
Description
Technical Field
The present disclosure relates to the field of communications, and in particular, to a method, an apparatus, a device, and a storage medium for detecting leakage of a device.
Background
With the use of a communication machine room, various equipment inevitably has the problems of damage, aging and the like, once the equipment is damaged and aged, under certain environments, the electricity leakage accident is very easy to occur, a large amount of energy consumption is wasted, the safety accident is caused by heavy weight, and huge economic loss and bad social influence are brought to operators.
Currently, the electric leakage of equipment is almost carried out by field instrument test or by adopting a mode of reading equipment parameters, and a plurality of inconveniences exist. The first mode is manual station-on detection, when a background person finds out abnormality through energy consumption data, the background person can inform a local maintenance person to take an instrument to station to check equipment in a machine room, and the instrument field test equipment is used for judging whether electric leakage exists or not; the second mode judges whether the equipment leaks electricity or not by reading equipment parameters, only supports a part of equipment, or mainly carries out manual station-up detection.
Because the number of the base station machine rooms of the operators is too large, and the positions of many machine rooms are remote, manual on-site detection wastes a large amount of manpower and material resources, and the efficiency is very low. The detection problem can be effectively solved by adding the device for remote detection, but the device requires great extra expenditure and cannot be realized under the condition of insufficient budget.
Disclosure of Invention
The utility model provides a detection method, device, equipment and storage medium of equipment electric leakage, whether through computer lab moving ring monitoring data and business data comprehensive analysis computer lab equipment electric leakage, can in time discover equipment is unusual, can in time confirm whether base station computer lab equipment has unusual fast, improves and gets rid of efficiency, saves a large amount of manpower and materials.
In a first aspect, the present application provides a method for detecting an electrical leakage of a device, including:
inquiring a machine room equipment standing book according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment standing book comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type;
acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room;
judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and if so, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment ledger;
And judging whether the machine room is leaked or not according to the service volume corresponding to the machine room and the service volumes corresponding to the other machine rooms.
In one possible design, according to the dynamic ring monitoring data of the machine room, obtaining the actual energy consumption of the machine room includes:
according to the dynamic ring monitoring data of the machine room, acquiring average current and average voltage in each acquisition period;
when the acquisition period reaches preset N periods, determining single-period energy consumption of each period according to average current and average voltage of each period and duration of each period in the N periods;
and acquiring the accumulated actual energy consumption of the machine room in the N periods according to the single-period energy consumption of the N periods.
In one possible design, obtaining the theoretical energy consumption of the machine room according to the rated power of each device in the machine room includes:
acquiring accumulated time lengths corresponding to the N periods;
obtaining theoretical energy consumption of single equipment in the machine room according to the accumulated time length and rated power of each equipment in the machine room;
and obtaining the theoretical energy consumption of the machine room according to the theoretical energy consumption of each device in the machine room.
In one possible design, determining whether the leakage is suspected according to the theoretical energy consumption and the actual energy consumption includes:
Judging whether the actual energy consumption is larger than the theoretical energy consumption or not;
if the energy consumption is smaller than the theoretical energy consumption, determining that the machine room is not in a leakage state;
if the actual energy consumption is larger than the theoretical energy consumption, judging whether the actual energy consumption is smaller than or equal to the preset energy consumption;
if yes, confirming that the machine room is in a suspected leakage state;
if not, confirming that the machine room is in a first electricity leakage state; wherein the preset energy consumption is determined according to the theoretical energy consumption and the estimated lost energy consumption.
In one possible design, determining whether the machine room leaks electricity according to the traffic corresponding to the machine room and the traffic corresponding to the other machine rooms includes:
acquiring accumulated time lengths corresponding to the N periods;
acquiring a first service volume of equipment of the machine room in the accumulated time length;
according to the respective service volumes of the equipment in the other machine rooms in the accumulated time length, acquiring average service volumes and taking the average service volumes as second service volumes;
and judging whether the machine room is leaked or not according to the first traffic and the second traffic.
In one possible design, determining whether the machine room leaks electricity according to the first traffic and the second traffic includes:
Determining a reference traffic according to the second traffic, the reference traffic being less than or equal to the second traffic;
judging whether the first traffic is smaller than the reference traffic or not;
if the service volume is smaller than the reference service volume, confirming that the machine room is in a second leakage state;
if the second traffic is greater than the reference traffic, judging whether the second traffic is greater than the reference traffic;
if yes, confirming that the machine room is in an un-leakage state;
if not, confirming that the machine room is in a suspected leakage state.
In one possible design, after judging whether the machine room is leaked according to the traffic corresponding to the machine room and the traffic corresponding to the other machine rooms, the method further includes:
determining the inspection priority of the machine room according to the current state of the machine room; wherein,
and confirming the inspection information of the machine room according to the inspection priority of the machine room, wherein the inspection information comprises at least one of inspection time or inspection frequency.
In a second aspect, the present application provides a detection apparatus for device leakage, including:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for inquiring a machine room equipment standing book according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment standing book comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type;
The acquisition module is also used for acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room;
the analysis module is used for judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment account if electric leakage is suspected;
and the analysis module is also used for judging whether the machine room leaks electricity or not according to the business volume corresponding to the machine room and the business volumes corresponding to other machine rooms.
In one possible design, the obtaining module is further specifically configured to:
according to the dynamic ring monitoring data of the machine room, acquiring average current and average voltage in each acquisition period;
when the acquisition period reaches preset N periods, determining single-period energy consumption of each period according to average current and average voltage of each period and duration of each period in the N periods;
and acquiring the accumulated actual energy consumption of the machine room in the N periods according to the single-period energy consumption of the N periods.
In one possible design, the obtaining module is further specifically configured to:
Acquiring accumulated time lengths corresponding to the N periods;
obtaining theoretical energy consumption of single equipment in the machine room according to the accumulated time length and rated power of each equipment in the machine room;
and obtaining the theoretical energy consumption of the machine room according to the theoretical energy consumption of each device in the machine room.
In one possible design, the analysis module is further specifically configured to:
judging whether the actual energy consumption is larger than the theoretical energy consumption or not;
if the energy consumption is smaller than the theoretical energy consumption, determining that the machine room is not in a leakage state;
if the actual energy consumption is larger than the theoretical energy consumption, judging whether the actual energy consumption is smaller than or equal to the preset energy consumption;
if yes, confirming that the machine room is in a suspected leakage state;
if not, confirming that the machine room is in a first electricity leakage state; wherein the preset energy consumption is determined according to the theoretical energy consumption and the estimated lost energy consumption.
In one possible design, the analysis module is further specifically configured to:
acquiring accumulated time lengths corresponding to the N periods;
acquiring a first service volume of equipment of the machine room in the accumulated time length;
according to the respective service volumes of the equipment in the other machine rooms in the accumulated time length, acquiring average service volumes and taking the average service volumes as second service volumes;
And judging whether the machine room is leaked or not according to the first traffic and the second traffic.
In one possible design, the analysis module is further specifically configured to:
determining a reference traffic according to the second traffic, the reference traffic being less than or equal to the second traffic;
judging whether the first traffic is smaller than the reference traffic or not;
if the service volume is smaller than the reference service volume, confirming that the machine room is in a second leakage state;
if the second traffic is greater than the reference traffic, judging whether the second traffic is greater than the reference traffic;
if yes, confirming that the machine room is in an un-leakage state;
if not, confirming that the machine room is in a suspected leakage state.
In one possible design, the analysis module is further specifically configured to:
determining the inspection priority of the machine room according to the current state of the machine room; wherein,
and confirming the inspection information of the machine room according to the inspection priority of the machine room, wherein the inspection information comprises at least one of inspection time or inspection frequency.
In a third aspect, the present application provides an electronic device for device leakage inspection, including: a processor, and a memory communicatively coupled to the processor;
The memory stores computer-executable instructions;
the processor executes computer-executable instructions stored by the memory, causing the processor to perform a method of detecting device leakage in any one of the possible implementations of any one of the aspects above.
In a fourth aspect, the present application provides a computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, implement a method for detecting device leakage in any one of the possible implementations of the above aspect.
The application provides a method, a device, equipment and a storage medium for detecting equipment leakage, wherein the method comprises the following steps: inquiring a machine room equipment standing book according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment standing book comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type; acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room; judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and if so, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment ledger; and judging whether the machine room is leaked or not according to the service volume corresponding to the machine room and the service volumes corresponding to the other machine rooms. The actual energy consumption of the machine room is obtained through the dynamic ring monitoring data, whether the equipment leaks electricity is detected through further analysis with the theoretical energy consumption and the equipment load condition, whether the equipment leaks electricity or other abnormal conditions can be timely found through monitoring and management of the equipment in the machine room, the energy consumption waste and electric shock accidents caused by the equipment leaks electricity are avoided, normal operation of the equipment is ensured, the safety risk caused by the energy problem is reduced, the manual inspection and maintenance cost is reduced, and the management efficiency is improved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of a method for detecting device leakage according to an embodiment of the present application.
Fig. 2 is a flowchart second of a device leakage detection method according to an embodiment of the present application.
Fig. 3 is a flowchart III of a device leakage detection method according to an embodiment of the present application.
Fig. 4 is a schematic structural diagram of an apparatus for detecting leakage of electricity according to an embodiment of the present application.
Fig. 5 is a hardware schematic diagram of an apparatus leakage detection apparatus provided in an embodiment of the present application.
Specific embodiments thereof have been shown by way of example in the drawings and will herein be described in more detail. These drawings and the written description are not intended to limit the scope of the inventive concepts in any way, but to illustrate the concepts of the present application to those skilled in the art by reference to specific embodiments.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.
In order to clearly describe the technical solutions of the embodiments of the present application, in the embodiments of the present application, the words "first", "second", etc. are used to distinguish the same item or similar items having substantially the same function and effect. For example, the first device and the second device are merely for distinguishing between different devices, and are not limited in their order of precedence. It will be appreciated by those of skill in the art that the words "first," "second," and the like do not limit the amount and order of execution, and that the words "first," "second," and the like do not necessarily differ.
In this application, the terms "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.
In the present application, "at least one" means one or more, and "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a alone, a and B together, and B alone, wherein a, B may be singular or plural. The character "/" generally indicates that the context-dependent object is an "or" relationship. "at least one of" or the like means any combination of these items, including any combination of single item(s) or plural items(s). For example, at least one (one) of a, b, or c may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or plural.
Currently, the electric leakage of equipment is almost carried out by field instrument test or by adopting a mode of reading equipment parameters, and a plurality of inconveniences exist. The first mode is manual station-on detection, when a background person finds out abnormality through energy consumption data, the background person can inform a local maintenance person to take an instrument to station to check equipment in a machine room, and the instrument field test equipment is used for judging whether electric leakage exists or not; the second mode judges whether the equipment leaks electricity or not by reading equipment parameters, only supports a part of equipment, or mainly carries out manual station-up detection.
Currently, the electric leakage of equipment is almost carried out by field instrument test or by adopting a mode of reading equipment parameters, and a plurality of inconveniences exist. Because the number of the base station machine rooms of the operators is too large, and the positions of many machine rooms are remote, manual on-site detection wastes a large amount of manpower and material resources, and the efficiency is very low. The detection problem can be effectively solved by adding the device for remote detection, but the device requires great extra expenditure and cannot be realized under the condition of insufficient budget.
The following describes the technical solutions of the present application and how the technical solutions of the present application solve the above technical problems in detail with specific embodiments. The following embodiments may be combined with each other, and the same or similar concepts or processes may not be described in detail in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Fig. 1 is a flowchart of a method for detecting equipment leakage according to an embodiment of the present application, as shown in fig. 1, the method includes:
s101, inquiring a machine room equipment account according to an identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment account comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type.
In this embodiment, before the equipment leakage detection is performed, an equipment account of the equipment room needs to be established, and information of the equipment room and equipment is arranged in a database table, where the equipment account of the equipment room includes all equipment room names, areas, equipment names, equipment types, equipment models, rated power, and the like. The information of the machine room is obtained from a machine room ledger, and the equipment information is obtained from an equipment ledger, but some equipment factory information needs to be obtained from an equipment purchasing system, such as rated power and other information. Two ways of perfecting the account contents of equipment in a machine room are provided, wherein the first way is to use the machine room identification and the equipment identification as unique identification fields for association and automatic matching through a system interface; the second way uses manual entry matching. Because the communication equipment has specificity, the equipment of the same type is purchased basically, and the types are uniform, so the type and rated power of the equipment are relatively fixed.
Specifically, information of all communication equipment in a machine room to be detected is obtained by inquiring a machine room equipment account, running state and attribute information of the equipment are checked, rated power of running equipment is obtained, and theoretical energy consumption of the machine room can be obtained according to running time of the equipment in the machine room.
S102, acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room.
In this embodiment, the ring monitoring data of the communication machine room is stored in the background database, where the monitoring data includes a voltage value and a current value after the ac of each machine room is converted into-48V dc, and the dc voltage is distributed to each communication device through the power distribution unit. The actual energy consumption condition of the machine room can be known in real time through the movable ring monitoring system, the direct current voltage and current value of the actual work of each machine room can be obtained through the file transmission interface, the actual power value of each machine room device can be calculated, and the actual energy consumption of the machine room can be obtained by obtaining the running time of the machine room device.
And S103, judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption.
In the specific implementation process, comparing the actual energy consumption and the theoretical energy consumption of the equipment in the machine room to be detected, and judging that the suspected electricity leakage condition exists in the machine room to be detected if the actual energy consumption data is obviously higher than the theoretical energy consumption data.
S104, if the electric leakage is suspected, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment standing book;
s105, judging whether the machine room is leaked or not according to the service volume corresponding to the machine room and the service volumes corresponding to the other machine rooms.
In this embodiment, since the energy consumption of the equipment is closely related to the load, the load can be measured by the traffic, and we can further analyze the traffic in the energy-consuming period by acquiring the equipment in the machine room. And acquiring and analyzing the total traffic of the base station room of the type in the energy-consuming time period by acquiring the room of the same type as the room to be detected, obtaining the average traffic of the base station room of the type in the energy-consuming time period, and further evaluating whether the room has electric leakage or not by the average traffic of the room and the actual traffic of the room to be detected.
According to the equipment leakage detection method provided by the embodiment, according to the identification of the equipment room to be detected, the equipment account of the equipment room is inquired to obtain the rated power of each equipment in the equipment room, and according to the rated power of each equipment in the equipment room, the theoretical energy consumption of the equipment room is obtained, wherein the equipment account of the equipment room comprises the identification of the equipment room, the rated power of the equipment in the equipment room and the equipment type; acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of a machine room; judging whether the electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and if the electric leakage is suspected, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment account; and judging whether the machine room is leaked or not according to the corresponding business volume of the machine room and the business volumes of other machine rooms. The actual energy consumption of the machine room is obtained through the dynamic ring monitoring data, whether the equipment leaks electricity is detected through further analysis with the theoretical energy consumption and the equipment load condition, whether the equipment leaks electricity or other abnormal conditions can be timely found through monitoring and management of the equipment in the machine room, the energy consumption waste and electric shock accidents caused by the equipment leaks electricity are avoided, normal operation of the equipment is ensured, the safety risk caused by the energy problem is reduced, the manual inspection and maintenance cost is reduced, and the management efficiency is improved.
Fig. 2 is a flowchart two of the method for detecting electric leakage of a device according to the embodiment of the present application, as shown in fig. 2, and details on the basis of fig. 1, a method for determining whether an electric leakage occurs in a device according to energy consumption of the device, including:
s201, acquiring average current and average voltage in each acquisition period according to the dynamic ring monitoring data of the machine room.
And the interface is connected to the movable ring monitoring system of the machine room to acquire voltage and current monitoring data of the actual work of the machine room in the monitoring period. One monitoring period is divided into a plurality of acquisition periods, and voltage and current data in each acquisition period are extracted from acquired monitoring data. And calculating the voltage and current data in each acquisition period to obtain an average voltage and average current value. The average voltage and average current values for each acquisition cycle were recorded for later analysis.
S202, when the acquisition period reaches preset N periods, determining single-period energy consumption of each period according to average current and average voltage of each period and duration of each period in the N periods;
s203, acquiring the accumulated actual energy consumption of the machine room in the N periods according to the single-period energy consumption of the N periods.
The detection period consists of N acquisition periods, and after the data of the N acquisition periods are acquired, the energy consumption of each single period can be calculated. For each acquisition period, the average current for that period has been obtainedAnd average voltage value>And then according to the duration T of the acquisition period, obtaining the single period energy consumption W of the acquisition period i I is the i-th acquisition period. To avoid wave motionThe effect may be, for example, 7 days as the monitoring period, i.e. 7 days as the total duration of N periods, each acquisition period being 15 minutes, all preset N being 672 (4/hr 24 hr 7 days). Accumulated actual energy consumption W of the machine room for N periods Real world ：
S204, acquiring accumulated time lengths corresponding to the N periods;
s205, obtaining theoretical energy consumption of a single device in the machine room according to the accumulated time length and rated power of each device in the machine room;
s206, obtaining the theoretical energy consumption of the machine room according to the theoretical energy consumption of each device in the machine room.
In this embodiment, the rated power P of each device in the machine room to be detected is obtained Device n amount N is the nth equipment, and rated power of the machine room is:
P forehead (forehead) ＝P Device 1 amount +P Device 2 amount +P Device 3 amount +.......+P Device n amount
Specifically, according to the accumulated time length corresponding to the N periods, the theoretical energy consumption value of the accumulated time length corresponding to the N periods is obtained. For example: corresponding to the above example, 7 days is taken as the detection period, and the real energy consumption value W of the detection period of the equipment in the machine room can be calculated Management device ＝7*24*P Forehead (forehead) 。
S207, judging whether the actual energy consumption is larger than the theoretical energy consumption, if so, executing S208, and if so, determining that the machine room is not in a leakage state;
s208, judging whether the actual energy consumption is smaller than or equal to preset energy consumption, wherein the preset energy consumption is determined according to the theoretical energy consumption and the estimated loss energy consumption. If yes, executing S209, if not, executing S210;
s209, confirming that the machine room is in a suspected leakage state;
s210, confirming that the machine room is in a first electricity leakage state.
The actual power and actual current of the device are different depending on the size of the load being towed; the actual power and the actual current are large when the dragging load is large; the actual power and the actual current are small if the drag load is small. Typically, the actual power of the device is less than or equal to the rated power of the device.
In the implementation process, because a cable with a certain distance exists between equipment in a machine room and a switching power supply, and loss inevitably exists in the equipment internal circuits and interfaces, the loss is included in the actual energy consumption, and therefore, the actual energy consumption is higher than the theoretical energy consumption and is also normal. These losses do not exceed 10% of rated power, based on practical experience. Therefore, the total energy consumption of all equipment in the machine room after additional loss does not exceed (1+10%) W Management device 。
It can be judged that when (1+10%) W Management device <W Real world The equipment in the machine room has the leakage condition and needs to be processed as soon as possible. When W is Real world <＝W Management device The equipment in the machine room has no leakage condition and the equipment works normally; when W is Management device <W Real world <＝(1+10％)W Management device The equipment in the machine room may have leakage;
considering that the equipment comprises current and voltage fluctuation of the equipment and time length change of different acquisition periods in the actual use process of the equipment, the actual energy consumption W of a machine room Real world The single-period energy consumption Wi of each period is calculated by average current, average voltage and the duration of the acquisition period. Meanwhile, the sum of rated powers of all the devices in the machine room is used as theoretical power, so that the theoretical energy consumption of all the devices is finally obtained, and the energy consumption condition of the machine room can be estimated more comprehensively. By adopting the comparison of the actual energy consumption and the theoretical energy consumption, whether the machine room has the electric leakage condition or the suspected electric leakage condition can be determined.
Fig. 3 is a flowchart third of a method for detecting equipment leakage provided in an embodiment of the present application, as shown in fig. 3, on the basis of fig. 2, a method for further detecting equipment suspected of leakage is described in detail, including:
S301, acquiring accumulated time lengths corresponding to the N periods;
s302, acquiring first traffic of equipment of the machine room in the accumulated duration;
s303, acquiring average traffic according to the respective traffic of the equipment in the other machine rooms in the accumulated time length, and taking the average traffic as second traffic;
in this embodiment, after the situation that the machine room has suspected electric leakage is found, electric leakage analysis can be further performed through the actual load situation of the equipment, because the energy consumption of the equipment is closely related to the load and the load is related to the traffic, the actual load situation of the machine room equipment can be known through analyzing the traffic, and the traffic includes the traffic and the traffic. And acquiring the traffic T1 (i.e. first traffic) of the equipment in the suspected electric leakage machine room in the monitoring period (i.e. N period accumulated time periods), and simultaneously acquiring the traffic of other equipment in the same base station type machine room in the monitoring period, and acquiring the average traffic T2 (i.e. second traffic) of the equipment in the same type machine room in the monitoring period.
S304, determining a reference traffic volume according to the second traffic volume, wherein the reference traffic volume is smaller than or equal to the second traffic volume;
s305, judging whether the first traffic is smaller than the reference traffic, if so, executing S306; if the reference traffic is greater, S307 is performed.
S306, confirming that the machine room is in a second leakage state;
s307, judging whether the second traffic is larger than the second traffic, if so, executing S308; if not, S309 is performed.
S308, confirming that the machine room is in an un-leakage state;
s309, confirming that the machine room is in a suspected leakage state.
According to the statistical analysis of the situations of different types of machine rooms and historical machine rooms, a reference coefficient exists, so that the average traffic reference coefficient of the machine rooms of the same type is multiplied, the reference traffic is obtained, the coefficient is a value which is more than 0 and less than or equal to 1, and the coefficients of the machine rooms of different types are different. If the service volume of the suspected electric leakage machine room is smaller than the reference service volume, which indicates that the service volume corresponding to the normal work load of the machine room does not exceed the reference service volume, and meanwhile, the energy consumption is high, the situation that the machine room has electric leakage, namely a second electric leakage state, can be obtained. If the traffic corresponding to the machine room load exceeds the reference traffic and exceeds the average traffic of the machine room of the same base station type, the high energy consumption caused by the high load caused by the too high traffic is indicated to indicate that the machine room is not in electric leakage. If the traffic corresponding to the machine room load exceeds the reference traffic and is smaller than the average traffic of the machine room of the same base station type, the machine room is confirmed to be in a suspected leakage state, and the situation is further checked by manually getting on the station.
For maintenance personnel of a split company, each machine room is routinely required to be inspected, and the aim is to find problems of the machine room and equipment through inspection, so that the problems are convenient to process in time, and the normal operation of a network is maintained. However, because the number of the base station machine rooms is large, most of the machine rooms are distributed in vast villages and towns, rural areas and even mountain areas, and all the machine rooms are inspected one by one, time and labor are wasted, and the problem finding is not facilitated. By the method, the actual states of all the machine rooms in the area are analyzed, whether the electric leakage of each machine room occurs, whether the situation is serious and the like can be obtained, and a basis is provided for making a patrol plan.
In a specific embodiment, determining the inspection priority of the machine room according to the current state of the machine room; and confirming the inspection information of the machine room according to the inspection priority of the machine room, wherein the inspection information comprises at least one of inspection time or inspection frequency.
Specifically, analysis is performed according to the actual state of the machine room to obtain whether inspection is needed, what time inspection is needed, the inspection frequency of daily maintenance and the like. For example: the inspection priority list can be arranged according to the urgency of the light and the heavy, and the order of priority from high to low is as follows: the first electric leakage state machine room is the second electric leakage state machine room, the suspected electric leakage state machine room is the non-electric leakage machine room, so that inspection of the machine rooms in the former two cases is enhanced under the condition that manpower and material resources of a branch company are limited, and the fine management level of maintenance work of the branch company is improved.
Judging whether the high load caused by the service causes high energy consumption of equipment or not by analyzing the service volume of the machine room to be inspected, and if the service volume born by the machine room does not reach the reference service volume, indicating that the leakage condition exists due to the high energy consumption, and checking and overhauling in time are needed; if the traffic born by the machine room reaches the preset traffic and is smaller than the average traffic of the same type of base station machine room, suspected leakage can occur, and the machine room needs to be manually checked by a station; if the service volume borne by the machine room reaches the average service volume of the machine rooms of the base stations of the same type, the service volume borne by the machine room is high, so that the energy consumption is high, and the possibility of electric leakage is eliminated. According to layered elimination of machine room equipment energy consumption and traffic, whether the machine room has the condition of electric leakage is analyzed step by step, finally the machine room state is confirmed, and then the priority of manual on-site maintenance is discharged according to the state of the machine room, and the manual maintenance is further carried out, so that the speed of processing the electric leakage equipment is improved, and meanwhile, the fine management level of maintenance work is improved.
Fig. 4 is a schematic structural diagram of an apparatus for detecting leakage of electricity according to an embodiment of the present application. As shown in fig. 4, the apparatus leakage detecting device 40 includes: an acquisition module 401 and an analysis module 402.
The obtaining module 401 is configured to query a machine room equipment ledger according to an identifier of a machine room to be detected, obtain rated power of each device in the machine room, and obtain theoretical energy consumption of the machine room according to the rated power of each device in the machine room, where the machine room equipment ledger includes the identifier of the machine room and rated power and device type of the device in the machine room;
the obtaining module 401 is further configured to obtain actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room;
the analysis module 402 is configured to determine whether electric leakage is suspected according to the theoretical energy consumption and the actual energy consumption, and if electric leakage is suspected, obtain other machine rooms with the same equipment type as the machine room according to the machine room equipment ledger;
the analysis module 402 is further configured to determine whether the machine room leaks electricity according to the traffic corresponding to the machine room and the traffic corresponding to the other machine rooms.
In one possible design, the obtaining module 401 is further specifically configured to:
according to the dynamic ring monitoring data of the machine room, acquiring average current and average voltage in each acquisition period;
When the acquisition period reaches preset N periods, determining single-period energy consumption of each period according to average current and average voltage of each period and duration of each period in the N periods;
and acquiring the accumulated actual energy consumption of the machine room in the N periods according to the single-period energy consumption of the N periods.
In one possible design, the obtaining module 401 is further specifically configured to:
acquiring accumulated time lengths corresponding to the N periods;
obtaining theoretical energy consumption of single equipment in the machine room according to the accumulated time length and rated power of each equipment in the machine room;
and obtaining the theoretical energy consumption of the machine room according to the theoretical energy consumption of each device in the machine room.
In one possible design, the analysis module 402 is further specifically configured to:
judging whether the actual energy consumption is larger than the theoretical energy consumption or not;
if the energy consumption is smaller than the theoretical energy consumption, determining that the machine room is not in a leakage state;
if the actual energy consumption is larger than the theoretical energy consumption, judging whether the actual energy consumption is smaller than or equal to the preset energy consumption;
if yes, confirming that the machine room is in a suspected leakage state;
if not, confirming that the machine room is in a first electricity leakage state; wherein the preset energy consumption is determined according to the theoretical energy consumption and the estimated lost energy consumption.
In one possible design, the analysis module 402 is further specifically configured to:
acquiring accumulated time lengths corresponding to the N periods;
acquiring a first service volume of equipment of the machine room in the accumulated time length;
according to the respective service volumes of the equipment in the other machine rooms in the accumulated time length, acquiring average service volumes and taking the average service volumes as second service volumes;
and judging whether the machine room is leaked or not according to the first traffic and the second traffic.
In one possible design, the analysis module 402 is further specifically configured to:
determining a reference traffic according to the second traffic, the reference traffic being less than or equal to the second traffic;
judging whether the first traffic is smaller than the reference traffic or not;
if the service volume is smaller than the reference service volume, confirming that the machine room is in a second leakage state;
if the second traffic is greater than the reference traffic, judging whether the second traffic is greater than the reference traffic;
if yes, confirming that the machine room is in an un-leakage state;
if not, confirming that the machine room is in a suspected leakage state.
In one possible design, the analysis module 402 is further specifically configured to:
determining the inspection priority of the machine room according to the current state of the machine room; wherein,
And confirming the inspection information of the machine room according to the inspection priority of the machine room, wherein the inspection information comprises at least one of inspection time or inspection frequency.
Fig. 5 is a hardware schematic diagram of an apparatus leakage detection apparatus provided in an embodiment of the present application. As shown in fig. 5, the apparatus leakage detecting apparatus 50 provided in the present embodiment includes: at least one processor 501 and a memory 502. The device 50 further comprises a communication component 503. The processor 501, the memory 502, and the communication unit 503 are connected via a bus 504.
In a specific implementation process, at least one processor 501 executes computer-executable instructions stored in the memory 502, so that at least one processor 501 performs the above device leakage detection method.
The specific implementation process of the processor 501 may refer to the above-mentioned method embodiment, and its implementation principle and technical effects are similar, and this embodiment will not be described herein again.
In the embodiment shown in fig. 5, it should be understood that the processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.
The memory may comprise high speed RAM memory or may further comprise non-volatile storage NVM, such as at least one disk memory.
The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or one type of bus.
The application also provides a computer readable storage medium, wherein the computer readable storage medium stores computer execution instructions, and when a processor executes the computer execution instructions, the above equipment leakage detection method is realized.
The computer readable storage medium described above may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk, or optical disk. A readable storage medium can be any available medium that can be accessed by a general purpose or special purpose computer.
An exemplary readable storage medium is coupled to the processor such the processor can read information from, and write information to, the readable storage medium. In the alternative, the readable storage medium may be integral to the processor. The processor and the readable storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). It is also possible that the processor and the readable storage medium reside as discrete components in the device 50.
It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.
It should be further noted that, although the steps in the flowchart are sequentially shown as indicated by arrows, the steps are not necessarily sequentially performed in the order 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 a portion of the steps in the flowcharts may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, the order in which the sub-steps or stages are performed is not necessarily sequential, and may be performed in turn or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Claims (10)
1. A method for detecting equipment leakage is characterized in that,
inquiring a machine room equipment standing book according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment standing book comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type;
acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room;
judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and if so, acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment ledger;
and judging whether the machine room is leaked or not according to the service volume corresponding to the machine room and the service volumes corresponding to the other machine rooms.
2. The method of claim 1, wherein the obtaining actual energy consumption of the machine room according to the ring monitoring data of the machine room comprises:
according to the dynamic ring monitoring data of the machine room, acquiring average current and average voltage in each acquisition period;
When the acquisition period reaches preset N periods, determining single-period energy consumption of each period according to average current and average voltage of each period and duration of each period in the N periods;
and acquiring the accumulated actual energy consumption of the machine room in the N periods according to the single-period energy consumption of the N periods.
3. The method according to claim 2, wherein the obtaining the theoretical energy consumption of the machine room according to the rated power of each device in the machine room comprises:
acquiring accumulated time lengths corresponding to the N periods;
obtaining theoretical energy consumption of single equipment in the machine room according to the accumulated time length and rated power of each equipment in the machine room;
and obtaining the theoretical energy consumption of the machine room according to the theoretical energy consumption of each device in the machine room.
4. The method of claim 2, wherein said determining whether a leakage is suspected based on the theoretical energy consumption and the actual energy consumption comprises:
judging whether the actual energy consumption is larger than the theoretical energy consumption or not;
if the energy consumption is smaller than the theoretical energy consumption, determining that the machine room is not in a leakage state;
if the actual energy consumption is larger than the theoretical energy consumption, judging whether the actual energy consumption is smaller than or equal to the preset energy consumption;
If yes, confirming that the machine room is in a suspected leakage state;
if not, confirming that the machine room is in a first electricity leakage state; wherein the preset energy consumption is determined according to the theoretical energy consumption and the estimated lost energy consumption.
5. The method of claim 4, wherein the determining whether the machine room is leaky according to the traffic corresponding to the machine room and the traffic corresponding to the other machine rooms comprises:
acquiring accumulated time lengths corresponding to the N periods;
acquiring a first service volume of equipment of the machine room in the accumulated time length;
according to the respective service volumes of the equipment in the other machine rooms in the accumulated time length, acquiring average service volumes and taking the average service volumes as second service volumes;
and judging whether the machine room is leaked or not according to the first traffic and the second traffic.
6. The method of claim 5, wherein the determining whether the machine room is leaky based on the first traffic volume and the second traffic volume comprises:
determining a reference traffic according to the second traffic, the reference traffic being less than or equal to the second traffic;
judging whether the first traffic is smaller than the reference traffic or not;
If the service volume is smaller than the reference service volume, confirming that the machine room is in a second leakage state;
if the second traffic is greater than the reference traffic, judging whether the second traffic is greater than the reference traffic;
if yes, confirming that the machine room is in an un-leakage state;
if not, confirming that the machine room is in a suspected leakage state.
7. The method of claim 6, wherein after determining whether the machine room is leaky according to the traffic corresponding to the machine room and the traffic corresponding to the other machine rooms, the method further comprises:
determining the inspection priority of the machine room according to the current state of the machine room; wherein,
and confirming the inspection information of the machine room according to the inspection priority of the machine room, wherein the inspection information comprises at least one of inspection time or inspection frequency.
8. A device for detecting leakage of an apparatus, comprising:
the system comprises an acquisition module, a control module and a control module, wherein the acquisition module is used for inquiring a machine room equipment standing book according to the identification of a machine room to be detected to obtain rated power of each equipment in the machine room, and obtaining theoretical energy consumption of the machine room according to the rated power of each equipment in the machine room, wherein the machine room equipment standing book comprises the identification of the machine room, the rated power of the equipment in the machine room and the equipment type;
The acquisition module is also used for acquiring actual energy consumption of the machine room according to the dynamic ring monitoring data of the machine room; the movable ring monitoring data comprise current and voltage data of the machine room;
the analysis module is used for judging whether electric leakage is suspected or not according to the theoretical energy consumption and the actual energy consumption, and acquiring other machine rooms with the same equipment type as the machine room according to the machine room equipment account if electric leakage is suspected;
and the analysis module is also used for judging whether the machine room leaks electricity or not according to the business volume corresponding to the machine room and the business volumes corresponding to other machine rooms.
9. An electronic device, comprising: a processor, and a memory communicatively coupled to the processor;
the memory stores computer-executable instructions;
the processor executes computer-executable instructions stored in the memory to implement the method of any one of claims 1 to 7.
10. A computer readable storage medium having stored therein computer executable instructions which when executed by a processor are adapted to carry out the method of any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311661700.0A CN117630741A (en) | 2023-12-05 | 2023-12-05 | Method, device, equipment and storage medium for detecting equipment leakage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311661700.0A CN117630741A (en) | 2023-12-05 | 2023-12-05 | Method, device, equipment and storage medium for detecting equipment leakage |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117630741A true CN117630741A (en) | 2024-03-01 |
Family
ID=90026762
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311661700.0A Pending CN117630741A (en) | 2023-12-05 | 2023-12-05 | Method, device, equipment and storage medium for detecting equipment leakage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117630741A (en) |
-
2023
- 2023-12-05 CN CN202311661700.0A patent/CN117630741A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114298863B (en) | Data acquisition method and system of intelligent meter reading terminal | |
| CN108198408B (en) | Self-adaptive anti-electricity-stealing monitoring method and system based on electricity information acquisition system | |
| CN111160791A (en) | Abnormal user identification method based on GBDT algorithm and factor fusion | |
| CN108197774B (en) | Distributed photovoltaic power generation capacity abnormity diagnosis method and device | |
| CN109450089B (en) | Transformer area low voltage identification method and device and terminal equipment | |
| CN115389854B (en) | Safety monitoring system and method for direct-current power supply system | |
| CN112597263B (en) | Pipe network detection data abnormity judgment method and system | |
| CN108181546B (en) | Power distribution network fault positioning method and device and terminal equipment | |
| CN113010577B (en) | Cable insulation defect detection method and device and terminal equipment | |
| CN116151776B (en) | Power distribution line power protection management method and system and electronic equipment | |
| CN111832174B (en) | Multi-regression-based wiring line loss rate processing method and device | |
| CN115689396A (en) | Pollutant discharge control method, device, equipment and medium | |
| CN108072858B (en) | Electric energy meter quality management method and system and terminal equipment | |
| CN116523140A (en) | Method and device for detecting electricity theft, electronic equipment and storage medium | |
| CN114138601A (en) | Service alarm method, device, equipment and storage medium | |
| CN117630741A (en) | Method, device, equipment and storage medium for detecting equipment leakage | |
| CN116843314A (en) | Monitoring terminal operation and maintenance management method, system, equipment and storage medium | |
| CN112198375A (en) | Phase identification method, device, equipment and storage medium for single-phase user | |
| CN116679139A (en) | Cable replacement monitoring system and method | |
| CN115358336A (en) | Power utilization abnormity detection method and device and electronic equipment | |
| CN114740419A (en) | Method, device, equipment and medium for analyzing error of district ammeter based on three-dimensional graph | |
| CN114818234A (en) | Intelligent comprehensive operation health identification management method and system for power equipment | |
| CN112256693A (en) | Method for predicting line fault power failure and customer complaints | |
| CN117728589B (en) | Power utilization monitoring method, device, equipment and medium for distribution box | |
| CN115018366B (en) | Energy storage system working state monitoring method and device, storage medium and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |