CN116482598A - Power consumption data monitoring method and device - Google Patents
Power consumption data monitoring method and device Download PDFInfo
- Publication number
- CN116482598A CN116482598A CN202310494181.7A CN202310494181A CN116482598A CN 116482598 A CN116482598 A CN 116482598A CN 202310494181 A CN202310494181 A CN 202310494181A CN 116482598 A CN116482598 A CN 116482598A
- Authority
- CN
- China
- Prior art keywords
- monitored
- electricity consumption
- electricity
- meter
- data
- 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 49
- 238000012544 monitoring process Methods 0.000 title claims abstract description 24
- 230000005611 electricity Effects 0.000 claims abstract description 288
- 230000002159 abnormal effect Effects 0.000 claims abstract description 74
- 230000005856 abnormality Effects 0.000 claims abstract description 39
- 238000012545 processing Methods 0.000 claims description 24
- 230000008859 change Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 4
- 238000012806 monitoring device Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 abstract description 2
- 238000004891 communication Methods 0.000 description 9
- 230000006870 function Effects 0.000 description 8
- 230000009471 action Effects 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000006978 adaptation Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 238000011161 development Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R35/00—Testing or calibrating of apparatus covered by the other groups of this subclass
- G01R35/04—Testing or calibrating of apparatus covered by the other groups of this subclass of instruments for measuring time integral of power or current
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A power consumption data monitoring method and device relate to the field of digital information transmission; the method comprises the steps of obtaining electricity consumption to be monitored of an electricity meter to be monitored, wherein the electricity consumption to be monitored is the electricity consumption in a first preset time period; judging whether the electricity consumption to be monitored is in a historical electricity consumption threshold range, wherein the historical electricity consumption threshold range is the electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period; when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal; and displaying the data abnormality of the electric meter to be monitored to a user. By means of the technical scheme, the problem that monitoring efficiency of power consumption data by workers is low can be solved.
Description
Technical Field
The application relates to the field of digital information transmission, in particular to a power consumption data monitoring method and device.
Background
Along with the development of science and technology, the household ammeter can carry out diversified collection on user data, and on one hand, an electric company can manage electricity consumption more accurately according to the data; on the other hand, the diversification makes the data volume become more huge, or when real-time monitoring of a plurality of household electric meters in one area is required, even single type of data, such as electricity consumption, calculated electricity fees, etc., the data volume collected by a plurality of electric meters is very huge.
The huge ammeter data are monitored, so that a great deal of time is spent on the workers, namely, the efficiency of monitoring the electricity consumption data by the workers is low.
Therefore, a method and apparatus for monitoring electricity consumption data are needed.
Disclosure of Invention
The application provides a power consumption data monitoring method and device, which solve the problem that the monitoring efficiency of workers on power consumption data is low.
The application provides a power consumption data monitoring method in a first aspect, which is applied to a server and comprises the following steps: acquiring electricity consumption to be monitored of an electricity meter to be monitored, wherein the electricity consumption to be monitored is the electricity consumption in a first preset time period; judging whether the electricity consumption to be monitored is in a historical electricity consumption threshold range, wherein the historical electricity consumption threshold range is the electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period; when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal; and displaying the data abnormality of the electric meter to be monitored to a user.
By adopting the technical scheme, the server can acquire the electricity consumption of the electric meter in the period to be monitored and the historical electricity consumption of the period before the period to be monitored; judging whether the electricity consumption of the period to be monitored is reasonable relative to the electricity consumption of the previous period, if not, displaying the abnormal electricity consumption of the ammeter to a user; the electricity consumption of the electric meters can be monitored in the same mode no matter one or a plurality of electricity meters are used, so that the server can automatically and quickly judge whether the electricity consumption of a large number of electric meters is abnormal or not, and the efficiency of monitoring electricity consumption data by a user is improved.
Optionally, the obtaining the electricity consumption to be monitored of the electricity meter to be monitored includes any one of the following modes: acquiring the electricity consumption to be monitored of the electricity meter to be monitored every third preset time period; and when receiving an instruction input by a user, acquiring the electricity consumption to be monitored of the electricity meter to be monitored.
By adopting the technical scheme, the server can automatically acquire the electricity consumption of the ammeter according to the preset frequency, so that the updating of electricity consumption data is realized; further, when abnormal electricity consumption data is automatically acquired, abnormal information of the electric meter can be timely displayed to a user, so that early warning of the electric meter with abnormal data is realized; meanwhile, the server supports the user to actively acquire the electricity consumption of the ammeter, so that the user can monitor the electricity consumption data in real time without being influenced by preset frequency when the user needs to perform real-time feedback.
Optionally, when the electricity consumption to be monitored is not within the historical electricity consumption threshold range, the confirming that the data of the electricity meter to be monitored is abnormal specifically includes: when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, acquiring the surrounding abnormal rate of the electricity meter to be monitored in the preset area, wherein the surrounding abnormal rate is the ratio of a first quantity to a second quantity, the first quantity is the quantity of electricity meters in the preset area, the electricity consumption of which is not in the historical electricity consumption threshold range, and the second quantity is the quantity of electricity meters in the preset area; judging whether the surrounding abnormal rate is larger than a first preset threshold value or not; and when the surrounding abnormality rate is larger than a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a first reason, wherein the first reason comprises season change.
By adopting the technical scheme, the server can judge whether the abnormality of the electric meter to be measured is the case of a more example or the case of a more collective according to the abnormal electricity utilization ratio of other electric meters in the area nearby the electric meter; when judging that a plurality of other electric meters in the nearby area are abnormal in electric meter data like the electric meters to be measured, the electric meters can be regional collective abnormal, and the abnormal electric meter data to be measured are confirmed and possible reasons are provided for users so as to help the users to make decisions according to specific situations.
Optionally, after determining whether the surrounding anomaly rate is greater than the first preset threshold, the method further includes: and when the surrounding abnormality rate is smaller than or equal to a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a second reason, wherein the second reason comprises the increase of the population of the resident corresponding to the electric meter to be monitored.
By adopting the technical scheme, when the server judges that a plurality of other electric meters in the nearby area have no abnormal electric meter data as the electric meters to be measured, the abnormal electric meters to be measured can be individual phenomenon, the abnormal electric meter data to be measured is confirmed, and another possible cause is provided for the user, so that the user can make a decision according to the specific situation.
Optionally, when the electricity consumption to be monitored is not within the historical electricity consumption threshold range, the confirming that the data of the electricity meter to be monitored is abnormal specifically includes: when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, judging whether the electricity consumption to be monitored is 0 or not; when the electricity consumption to be monitored is 0, obtaining the zero rate in a preset area where the electricity meters to be monitored are located, wherein the zero rate is the ratio of a third quantity to a fourth quantity, the third quantity is the electricity meter quantity with the electricity consumption of 0 in the preset area, and the fourth quantity is the electricity meter quantity in the preset area; when the zero rate is larger than or equal to a second preset threshold value, confirming that the data of the electric meter to be monitored is abnormal and a third factor, wherein the third factor comprises regional power failure; and when the zero rate is smaller than a second preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a fourth reason, wherein the fourth reason comprises stopping electricity utilization of the resident.
Through adopting above-mentioned technical scheme, when the ammeter data of the ammeter that awaits measuring appears unusual, and be extreme value 0, the server judges the unusual reason through whether other ammeter in the nearby area are also 0: when the server judges that the electricity consumption of a plurality of other electric meters in the nearby area is 0 as same as that of the electric meter to be measured, the data abnormality of the electric meter to be measured can be a single phenomenon, and the data abnormality of the electric meter to be measured is confirmed and the reason for the occurrence of the extreme value is provided for a user; when the server judges that the electricity consumption amount is 0 as in the case of the electricity meters to be measured, it is possible that the nearby area is collectively abnormal and has an extreme value, and confirms that the data of the electricity meters to be measured is abnormal and provides the reason for the occurrence of the extreme value to the user.
Optionally, displaying the data anomaly of the electric meter to be monitored to the user specifically includes: acquiring the position of the ammeter to be monitored, and displaying the data abnormality of the ammeter to be monitored through an electronic map; the method for acquiring the position of the electric meter to be monitored comprises any one of the following steps: acquiring the position of the electric meter to be monitored through a positioning chip of the electric meter to be monitored; and acquiring the position of the electric meter to be monitored through the registration information of the electric meter to be monitored.
By adopting the technical scheme, the server can more clearly express the position relation of the abnormal ammeter and the abnormal conditions of other ammeter in the nearby area through the map interface; the server can obtain the ammeter position through two modes, on the one hand can make the position more accurate, on the other hand when the location chip of ammeter appears damaging the condition or when being cut off the power supply, the registration information of ammeter can be as the standby information to provide positional information.
Optionally, the method further comprises: responding to a query operation of a user, wherein the query operation is used for querying the position of the ammeter to be monitored; and acquiring the position of the electric meter to be monitored in the electronic map, and displaying the position of the electric meter to be monitored through the electronic map.
By adopting the technical scheme, the server supports the user to actively inquire the position of the specific ammeter and display the position on the map interface.
The application provides a power consumption data monitoring device in a second aspect, wherein the device is a server, and a processor comprises an acquisition unit and a processing unit;
the device comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring the electricity consumption to be monitored of the electricity meter to be monitored, and the electricity consumption to be monitored is the electricity consumption in a first preset time period;
the processing unit is used for judging whether the electricity consumption to be monitored is in a historical electricity consumption threshold range, wherein the historical electricity consumption threshold range is the electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period; when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal; and displaying the data abnormality of the electric meter to be monitored to a user.
Optionally, the obtaining unit is configured to obtain the electricity consumption to be monitored of the electricity meter to be monitored at intervals of a third preset time period; and when receiving an instruction input by a user, acquiring the electricity consumption to be monitored of the electricity meter to be monitored.
Optionally, the obtaining unit is configured to obtain, when the electricity consumption to be monitored is not within the historical electricity consumption threshold, a surrounding anomaly rate in a preset area where the electricity meter to be monitored is located, where the surrounding anomaly rate is a ratio of a first number to a second number, where the first number is a number of electricity meters in the preset area where the electricity consumption is not within the historical electricity consumption threshold, and the second number is a number of electricity meters in the preset area; the processing unit is used for judging whether the surrounding abnormal rate is larger than a first preset threshold value; and when the surrounding abnormality rate is larger than a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a first reason, wherein the first reason comprises season change.
Optionally, the processing unit is configured to determine that the data of the electric meter to be monitored is abnormal and a second reason when the surrounding abnormal rate is less than or equal to a first preset threshold, where the second reason includes an increase in the population of households corresponding to the electric meter to be monitored.
Optionally, the processing unit is configured to determine whether the power consumption to be monitored is 0 when the power consumption to be monitored is not within the historical power consumption threshold range; the acquisition unit is used for acquiring zero rate in a preset area where the electric meters to be monitored are located when the electric quantity to be monitored is 0, wherein the zero rate is the ratio of a third quantity to a fourth quantity, the third quantity is the electric meter quantity with the electric quantity of 0 in the preset area, and the fourth quantity is the electric meter quantity in the preset area; the processing unit is also used for confirming the abnormality of the data of the electric meter to be monitored and a third cause when the zero rate is larger than or equal to a second preset threshold value, wherein the third cause comprises regional power failure; and when the zero rate is smaller than a second preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a fourth reason, wherein the fourth reason comprises stopping electricity utilization of the resident.
Optionally, the acquiring unit is configured to acquire a position of the electric meter to be monitored, and display, through an electronic map, that data of the electric meter to be monitored is abnormal; the method for acquiring the position of the electric meter to be monitored comprises any one of the following steps: acquiring the position of the electric meter to be monitored through a positioning chip of the electric meter to be monitored; and acquiring the position of the electric meter to be monitored through the registration information of the electric meter to be monitored.
Optionally, the processing unit is configured to respond to a query operation of a user, where the query operation is used to query a location of the electric meter to be monitored; the acquisition unit is used for acquiring the position of the electric meter to be monitored in the electronic map and displaying the position of the electric meter to be monitored through the electronic map.
The present application provides in a third aspect an electronic device comprising a processor, a memory, a user interface and a network interface, the memory being for storing instructions, the user interface and the network interface being for communicating with other devices, the processor being for executing the instructions stored in the memory to cause the electronic device to perform the method of any one of the possible implementations of the first aspect or the first aspect as above.
The present application provides in a fourth aspect a computer readable storage medium storing a computer program for execution by a processor as described above or any one of the possible implementation methods of the first aspect.
In summary, one or more technical solutions provided in the embodiments of the present application at least have the following technical effects or advantages:
1. the server can acquire the electricity consumption of the ammeter in a period to be monitored and the historical electricity consumption of the ammeter in a period before the period to be monitored; judging whether the electricity consumption of the period to be monitored is reasonable relative to the electricity consumption of the previous period, if not, displaying the abnormal electricity consumption of the ammeter to a user; the electricity consumption of the electric meters can be monitored in the same mode no matter one or a plurality of electricity meters are used, so that the server can automatically and quickly judge whether the electricity consumption of a large number of electric meters is abnormal or not, and the efficiency of monitoring electricity consumption data by a user is improved.
2. The server can automatically acquire the electricity consumption of the ammeter according to the preset frequency, so that the electricity consumption data is updated; further, when abnormal electricity consumption data is automatically acquired, abnormal information of the electric meter can be timely displayed to a user, so that early warning of the electric meter with abnormal data is realized; meanwhile, the server supports the user to actively acquire the electricity consumption of the ammeter, so that the user can monitor the electricity consumption data in real time without being influenced by preset frequency when the user needs to perform real-time feedback.
3. The server can judge whether the abnormality of the electric meter to be measured is a more case or a more collective case according to the abnormal electricity utilization proportion of other electric meters in the area nearby the electric meter; when judging that a plurality of other electric meters in the nearby area are abnormal in electric meter data like the electric meters to be measured, the electric meters can be regional collective abnormal, and the abnormal electric meter data to be measured are confirmed and possible reasons are provided for users so as to help the users to make decisions according to specific situations.
Drawings
Fig. 1 is a schematic flow chart of a power consumption data monitoring method according to an embodiment of the present application.
Fig. 2 is a schematic structural diagram of an electricity consumption data monitoring device according to an embodiment of the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 201. an acquisition unit; 202. a processing unit; 300. an electronic device; 301. a processor; 302. a communication bus; 303. a user interface; 304. a network interface; 305. a memory.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments.
In the description of embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described herein as "such as" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "or" for example "is intended to present related concepts in a concrete fashion.
In the description of the embodiments of the present application, the term "plurality" means two or more. For example, a plurality of systems means two or more systems, and a plurality of screen terminals means two or more screen terminals. Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating an indicated technical feature. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless expressly specified otherwise.
The household ammeter can carry out the pluralism to user data and gather, but the data volume that a plurality of ammeter gathered is very huge, monitors these huge ammeter data, needs spending staff a large amount of time, and the staff monitors the efficiency lower to the electricity consumption data promptly.
Therefore, the electricity consumption data monitoring method is provided for solving the problem that the efficiency of monitoring the electricity consumption data by staff is low.
It should be noted that, a user in the present application refers to a person who needs to monitor and manage an electric meter, and a resident in the present application refers to a person living in an area recorded by the electric meter.
Fig. 1 may be referred to in a power consumption data monitoring method provided in the present application, and fig. 1 is a schematic flow chart of a power consumption data monitoring method provided in an embodiment of the present application, where the power consumption data monitoring method is applied to a server, and the server includes a processor, a memory, and a network communication module, such as a desktop computer. In the embodiment of the application, a scenario that the desktop computer monitors electricity consumption data is taken as an example. The method includes steps S101 to S104.
S101, acquiring electricity consumption to be monitored of an electricity meter to be monitored, wherein the electricity consumption to be monitored is the electricity consumption in a first preset time period.
In the above steps, for an electricity meter, the server obtains the current electricity consumption of the electricity meter; it should be noted that, since the electricity meter can only record the consumed electricity, the electricity consumption is actually the past consumed electricity, and the current electricity consumption is expressed here, so that the current electricity consumption is conveniently expressed, and the electricity consumption recorded by the electricity meter is relatively more recent in a preset time period before the time point of the server performing the acquisition action; the first preset time period can be set by a manager, and the recorded consumed electricity in the time period is the data that needs to be monitored whether the abnormality occurs or not in the embodiment.
For example, the server obtains the electricity consumption of the electricity meter a recorded in the period of 2023, 1 month, 1 day, 0 minute, 0 second to 2023, 1 month, 2 day, 0 minute, 0 second at 0 minute, 0 second, where the electricity consumption is 5.43 degrees, and the time period is the first preset time period.
In one possible implementation, step S101 specifically includes: the method for obtaining the electricity consumption to be monitored of the electricity meter to be monitored comprises any one of the following modes: acquiring the electricity consumption to be monitored of the electricity meter to be monitored every third preset time period; and when receiving an instruction input by a user, acquiring the electricity consumption to be monitored of the electricity meter to be monitored.
Specifically, the server acquires the electricity consumption of the electric meter in two ways, wherein one of the two ways is to automatically acquire the electricity consumption of the electric meter every time a preset time period passes, and the other is to acquire the electricity consumption when a manager needs to monitor in real time; the third preset time period is also set in advance by the manager, and the time period includes, but is not limited to, one day or one week, etc., generally, the shorter the time period is, the higher the update frequency of the server to the ammeter data is, so that the effect of real-time monitoring can be achieved, but on the other hand, the performance resources of the server can be excessively occupied.
In the above example, the server obtains the electricity consumption of the electricity meter a at 0 hour, 0 minutes and 0 seconds each day, that is, the server automatically obtains the electricity consumption of the electricity meter a every day.
And S102, judging whether the electricity consumption to be monitored is within a historical electricity consumption threshold range, wherein the historical electricity consumption threshold range is the electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period.
In the above steps, the server obtains the ideal value of the electricity consumption of the electricity meter in the current time period through the electricity consumption data of the electricity meter in the historical time period (namely the second preset time period) earlier than the current time period, and then according to the maximum value and the minimum value of the electricity consumption in the historical time period, the historical electricity consumption threshold range is obtained; the second preset time period is a preset time period earlier than the first preset time period and is used for obtaining an ideal electricity consumption value.
In the above example, the electricity meter data recorded in the electricity meter a in the history period 2021, 12 months, 1 day, 0 minutes, 0 seconds, 0 days, 1 month, 1 day, 0 minutes, 0 seconds is obtained, 5.30 degrees of electricity consumption on the day with the highest electricity consumption in the history period is obtained, 4.30 degrees of electricity consumption on the day with the lowest electricity consumption in the history period is obtained, a history electricity consumption threshold range (4.30,5.30) is obtained, and whether the 5.43 degrees of electricity meter a recorded in the current period is in the history electricity consumption threshold range (4.30,5.30) is determined.
And S103, when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal.
In the above step, if the current electricity consumption of the electricity meter is outside the historical electricity consumption threshold range, the electricity consumption is determined as abnormal data, and the electricity meter is determined as an abnormal electricity meter.
In the above example, since the current electricity consumption of the electricity meter a is 5.43 degrees out of the historical electricity consumption threshold range (4.30,5.30), the current electricity consumption is abnormal, and the electricity meter a is an abnormal electricity meter.
In one possible implementation, step S103 specifically includes: when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, acquiring the surrounding abnormal rate of the electricity meter to be monitored in the preset area, wherein the surrounding abnormal rate is the ratio of a first quantity to a second quantity, the first quantity is the quantity of electricity meters in the preset area, the electricity consumption of which is not in the historical electricity consumption threshold range, and the second quantity is the quantity of electricity meters in the preset area; judging whether the surrounding abnormal rate is larger than a first preset threshold value or not; and when the surrounding abnormality rate is larger than a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a first reason, wherein the first reason comprises season change.
Specifically, when the abnormal condition of other electric meters in the electric meter nearby area is monitored, judging the abnormal reason, namely judging that the electric meters are regional abnormal when data abnormality occurs in more electric meters in the other electric meters in the nearby area, thereby providing specific reasons, wherein the reasons comprise season change, so that the demand of households in the area for electricity consumption is increased or reduced; the first preset threshold value can be set by a manager, and the higher the threshold value is, the higher the requirement for the number of abnormal conditions of other electric meters in the area is.
In the above example, the electric meter a is an abnormal electric meter, the server obtains the electric meter data of the entire building where the house where the electric meter a is located, and determines that the surrounding abnormal rate is 90% and exceeds the first preset threshold value by 80%, and determines that the entire building where the electric meter is located is abnormal in general electricity consumption, and further determines that the reason is season change.
In one possible implementation manner, after determining whether the surrounding anomaly rate is greater than the first preset threshold value in step S103, the method further includes: and when the surrounding abnormality rate is smaller than or equal to a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a second reason, wherein the second reason comprises the increase of the population of the resident corresponding to the electric meter to be monitored.
Specifically, when other electric meters in the nearby area do not have more anomalies, judging that the electric meter is abnormal and is only a single phenomenon, and providing specific reasons such as that the electric quantity used by the increased population of the households of the electric meter does not accord with the usual rule; for example, the house of the ammeter has the possibility of being stolen, so that electricity consumption is increased, and the like.
For example, the electric meter B is an abnormal electric meter, the server obtains the electric meter data of the entire building where the house where the electric meter B is located to determine that the abnormal rate is 5% and is far lower than the first preset threshold value by 80%, and determines that the electric meter is abnormal individually, thereby determining that the population of the households of the electric meter is increased.
In one possible implementation, step S103 specifically includes: when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, judging whether the electricity consumption to be monitored is 0 or not; when the electricity consumption to be monitored is 0, obtaining the zero rate in a preset area where the electricity meters to be monitored are located, wherein the zero rate is the ratio of a third quantity to a fourth quantity, the third quantity is the electricity meter quantity with the electricity consumption of 0 in the preset area, and the fourth quantity is the electricity meter quantity in the preset area; when the zero rate is larger than or equal to a second preset threshold value, confirming that the data of the electric meter to be monitored is abnormal and a third factor, wherein the third factor comprises regional power failure; and when the zero rate is smaller than a second preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a fourth reason, wherein the fourth reason comprises stopping electricity utilization of the resident.
Specifically, when the electricity consumption is abnormal, there is also a case of an extreme value, that is, the electricity consumption is zero, and a more specific cause of the abnormality is judged by whether the electricity meters in the nearby area are also abnormal in the extreme value, and the second preset threshold value can be set by a manager.
For example, the current electricity consumption of the electric meter C is 0, the server obtains the electric meter data of the entire building where the house where the electric meter C is located, and judges that the zero rate is 5% and is less than 30% of the second preset threshold, and then judges that possible reasons are that the house stops consuming electricity, etc.; the current electricity consumption of the electric meter D is 0, the server acquires the electric meter data of the whole building where the house where the electric meter D is located and judges that the zero rate is 80% and is larger than the second preset threshold value by 30%, and the possible reasons are that the whole building has an overall power failure and the like.
S104, displaying the data abnormality of the electric meter to be monitored to a user.
In the above steps, the server displays the abnormality of the data of the electric meter to be monitored and the corresponding possible reasons to the manager for the manager to refer to.
In one possible implementation, step S104 specifically includes: acquiring the position of the ammeter to be monitored, and displaying the data abnormality of the ammeter to be monitored through an electronic map; the method for acquiring the position of the electric meter to be monitored comprises any one of the following steps: acquiring the position of the electric meter to be monitored through a positioning chip of the electric meter to be monitored; and acquiring the position of the electric meter to be monitored through the registration information of the electric meter to be monitored.
Specifically, the server can acquire the position information sent by the positioning chip of the ammeter, and can also acquire the position of the ammeter through the ammeter registration information stored in the server; after the position is acquired, the position can be marked on the map in an image mode, so that the position of the ammeter is more visual.
In one possible implementation, in response to a query operation by a user, the query operation is used for querying a location of an ammeter to be monitored; and acquiring the position of the electric meter to be monitored in the electronic map, and displaying the position of the electric meter to be monitored through the electronic map.
Specifically, the user can query a specific location of a certain electric meter, and the server displays the electric meter on a map.
The application also provides an electricity consumption data monitoring device, which comprises an acquisition unit 201 and a processing unit 202, and is described with reference to fig. 2.
The obtaining unit 201 is configured to obtain electricity consumption to be monitored of the electricity meter to be monitored, where the electricity consumption to be monitored is electricity consumption in a first preset time period;
the processing unit 202 is configured to determine whether the electricity consumption to be monitored is within a historical electricity consumption threshold range, where the historical electricity consumption threshold range is an electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period; when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal; and displaying the data abnormality of the electric meter to be monitored to a user.
In a possible implementation manner, the obtaining unit 201 is configured to obtain the electricity consumption to be monitored of the electricity meter to be monitored every third preset time period; and when receiving an instruction input by a user, acquiring the electricity consumption to be monitored of the electricity meter to be monitored.
In a possible implementation manner, the obtaining unit 201 is configured to obtain, when the electricity consumption to be monitored is not within the historical electricity consumption threshold, a surrounding anomaly rate in a preset area where the electricity meter to be monitored is located, where the surrounding anomaly rate is a ratio of a first number to a second number, where the first number is a number of electricity meters in the preset area where the electricity consumption is not within the historical electricity consumption threshold, and the second number is a number of electricity meters in the preset area; the processing unit 202 is configured to determine whether the surrounding anomaly rate is greater than a first preset threshold; and when the surrounding abnormality rate is larger than a first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a first reason, wherein the first reason comprises season change.
In one possible implementation, the processing unit 202 is configured to confirm that the data of the electric meter to be monitored is abnormal and the second reason when the surrounding abnormal rate is less than or equal to the first preset threshold, where the second reason includes an increase in the population of the resident corresponding to the electric meter to be monitored.
In a possible implementation manner, the processing unit 202 is configured to determine whether the power consumption to be monitored is 0 when the power consumption to be monitored is not within the historical power consumption threshold; the obtaining unit 201 is configured to obtain, when the power consumption to be monitored is 0, a zero rate in a preset area where the power consumption to be monitored is located, where the zero rate is a ratio of a third number to a fourth number, where the third number is a number of power meters with the power consumption of 0 in the preset area, and the fourth number is a number of power meters in the preset area; the processing unit 202 is further configured to confirm that the data of the electric meter to be monitored is abnormal and a third cause when the zero rate is greater than or equal to a second preset threshold, where the third cause includes regional power failure; and when the zero rate is smaller than a second preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a fourth reason, wherein the fourth reason comprises stopping electricity utilization of the resident.
In one possible implementation manner, the obtaining unit 201 is configured to obtain a position of the electric meter to be monitored, and display, through an electronic map, that data of the electric meter to be monitored is abnormal; the method for acquiring the position of the electric meter to be monitored comprises any one of the following steps: acquiring the position of the electric meter to be monitored through a positioning chip of the electric meter to be monitored; and acquiring the position of the electric meter to be monitored through the registration information of the electric meter to be monitored.
In a possible implementation manner, the processing unit 202 is configured to respond to a query operation of a user, where the query operation is used to query the location of the electric meter to be monitored; the obtaining unit 201 is configured to obtain a position of the electric meter to be monitored in the electronic map, and display the position of the electric meter to be monitored through the electronic map.
It should be noted that: in the device provided in the above embodiment, when implementing the functions thereof, only the division of the above functional modules is used as an example, in practical application, the above functional allocation may be implemented by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to implement all or part of the functions described above. In addition, the embodiments of the apparatus and the method provided in the foregoing embodiments belong to the same concept, and specific implementation processes of the embodiments of the method are detailed in the method embodiments, which are not repeated herein.
The application also discloses a computer readable storage medium storing a computer program for executing the electricity usage data monitoring method as disclosed in the above specification by a processor.
The application also discloses electronic equipment. Referring to fig. 3, fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. The electronic device 300 may include: at least one processor 301, at least one communication bus 302, at least one user interface 303, a network interface 304, a memory 305.
Wherein the communication bus 302 is used to enable connected communication between these components.
The user interface 303 may include a Display screen (Display), a Camera (Camera), and the optional user interface 303 may further include a standard wired interface, and a wireless interface.
The network interface 304 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.
Wherein the processor 301 may include one or more processing cores. The processor 301 utilizes various interfaces and lines to connect various portions of the overall server, perform various functions of the server and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and invoking data stored in the memory 305. Alternatively, the processor 301 may be implemented in hardware in at least one of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), programmable logic array (Programmable Logic Array, PLA). The processor 301 may integrate one or a combination of several of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU), and a modem etc. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It will be appreciated that the modem may not be integrated into the processor 301 and may be implemented by a single chip.
The Memory 305 may include a random access Memory (Random Access Memory, RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer readable medium (non-transitory computer-readable storage medium). Memory 305 may be used to store instructions, programs, code, sets of codes, or sets of instructions. The memory 305 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described respective method embodiments, etc.; the storage data area may store data or the like involved in the above respective method embodiments. Memory 305 may also optionally be at least one storage device located remotely from the aforementioned processor 301. Referring to FIG. 3, an operating system, a network communication module, a user interface module, and a power usage data monitoring application may be included in memory 305, which is a type of computer storage medium.
In the electronic device 300 shown in fig. 3, the user interface 303 is mainly used for providing an input interface for a user, and acquiring data input by the user; and the processor 301 may be configured to invoke the power usage data monitoring application stored in the memory 305, which when executed by the one or more processors 301, causes the electronic device 300 to perform the method as in one or more of the embodiments described above. 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 preferred embodiments, and that the acts and modules referred to are not necessarily required in the present application.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
In the several embodiments provided herein, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as a division of units, merely a division of logic functions, and there may be additional divisions in actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some service interface, device or unit indirect coupling or communication connection, electrical or otherwise.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.
The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present application. And the aforementioned memory includes: various media capable of storing program codes, such as a U disk, a mobile hard disk, a magnetic disk or an optical disk.
The above are merely exemplary embodiments of the present disclosure and are not intended to limit the scope of the present disclosure. That is, equivalent changes and modifications are contemplated by the teachings of this disclosure, which fall within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure.
This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a scope and spirit of the disclosure being indicated by the claims.
Claims (10)
1. A power usage data monitoring method, applied to a server, the method comprising:
acquiring electricity consumption to be monitored of an electricity meter to be monitored, wherein the electricity consumption to be monitored is the electricity consumption in a first preset time period;
judging whether the electricity consumption to be monitored is in a historical electricity consumption threshold range or not, wherein the historical electricity consumption threshold range is an electricity consumption range of a second preset time period corresponding to the electricity meter to be monitored, and the second preset time period is earlier than the first preset time period;
when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal;
and displaying the data abnormality of the ammeter to be monitored to a user.
2. The method according to claim 1, wherein the obtaining the electricity consumption to be monitored of the electricity meter to be monitored includes any one of the following modes:
acquiring the electricity consumption to be monitored of the electricity meter to be monitored every third preset time period;
and when receiving the instruction input by the user, acquiring the electricity consumption to be monitored of the electricity meter to be monitored.
3. The method of claim 1, wherein when the electricity consumption to be monitored is not within the historical electricity consumption threshold, the confirming that the electricity meter data to be monitored is abnormal specifically includes:
when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, acquiring the surrounding abnormal rate of the electricity meter to be monitored in a preset area, wherein the surrounding abnormal rate is the ratio of a first quantity to a second quantity, the first quantity is the quantity of electricity meters in the preset area, the electricity consumption of which is not in the historical electricity consumption threshold range, and the second quantity is the quantity of electricity meters in the preset area;
judging whether the surrounding abnormal rate is larger than a first preset threshold value or not;
and when the surrounding abnormality rate is larger than the first preset threshold value, confirming the abnormality of the ammeter data to be monitored and a first reason, wherein the first reason comprises season change.
4. A method according to claim 3, wherein after determining whether the surrounding anomaly rate is greater than a first preset threshold, the method further comprises:
and when the surrounding abnormality rate is smaller than or equal to the first preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a second reason, wherein the second reason comprises that the population of households corresponding to the electric meter to be monitored increases.
5. The method of claim 1, wherein when the electricity consumption to be monitored is not within the historical electricity consumption threshold, the confirming that the electricity meter data to be monitored is abnormal specifically includes:
when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, judging whether the electricity consumption to be monitored is 0 or not;
when the electricity consumption to be monitored is 0, obtaining a zero rate in a preset area where the electricity meters to be monitored are located, wherein the zero rate is a ratio of a third quantity to a fourth quantity, the third quantity is the number of electricity meters with the electricity consumption of 0 in the preset area, and the fourth quantity is the number of electricity meters in the preset area;
when the zero rate is larger than or equal to a second preset threshold value, confirming that the data of the electric meter to be monitored is abnormal and a third factor, wherein the third factor comprises regional power failure;
and when the zero rate is smaller than the second preset threshold value, confirming the abnormality of the data of the electric meter to be monitored and a fourth reason, wherein the fourth reason comprises stopping electricity utilization of a resident.
6. The method according to claim 1, wherein the presenting the anomaly of the electric meter data to be monitored to a user specifically comprises:
acquiring the position of the electric meter to be monitored, and displaying the abnormal data of the electric meter to be monitored through an electronic map; the method for acquiring the position of the ammeter to be monitored comprises any one of the following steps:
acquiring the position of the electric meter to be monitored through a positioning chip of the electric meter to be monitored;
and acquiring the position of the electric meter to be monitored through the registration information of the electric meter to be monitored.
7. The method according to claim 1, wherein the method further comprises:
responding to the query operation of the user, wherein the query operation is used for querying the position of the electric meter to be monitored;
and acquiring the position of the electric meter to be monitored in the electronic map, and displaying the position of the electric meter to be monitored through the electronic map.
8. An electricity consumption data monitoring device, characterized in that the device is a server comprising an acquisition unit (201) and a processing unit (202):
the acquisition unit (201) is configured to acquire power consumption to be monitored of the electric meter to be monitored, where the power consumption to be monitored is power consumption in a first preset time period;
the processing unit (202) is configured to determine whether the electricity consumption to be monitored is within a historical electricity consumption threshold range, where the historical electricity consumption threshold range is an electricity consumption range of the electricity meter to be monitored corresponding to a second preset time period, and the second preset time period is earlier than the first preset time period; when the electricity consumption to be monitored is not in the historical electricity consumption threshold range, confirming that the data of the electricity meter to be monitored is abnormal; and displaying the data abnormality of the ammeter to be monitored to a user.
9. An electronic device comprising a processor (301), a memory (305), a user interface (303) and a network interface (304), the memory (305) being for storing instructions, the user interface (303) and the network interface (304) being for communicating to other devices, the processor (301) being for executing the instructions stored in the memory (305) for causing the electronic device (300) to perform the method according to any one of claims 1 to 7.
10. A computer readable storage medium storing a computer program, characterized in that the computer program, when executed by a processor, implements the method of any of the preceding claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310494181.7A CN116482598A (en) | 2023-05-05 | 2023-05-05 | Power consumption data monitoring method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310494181.7A CN116482598A (en) | 2023-05-05 | 2023-05-05 | Power consumption data monitoring method and device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116482598A true CN116482598A (en) | 2023-07-25 |
Family
ID=87219338
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310494181.7A Pending CN116482598A (en) | 2023-05-05 | 2023-05-05 | Power consumption data monitoring method and device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116482598A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117093943A (en) * | 2023-08-23 | 2023-11-21 | 广东电网有限责任公司佛山供电局 | Power consumption monitoring and early warning method and device |
| CN117147958A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Method and device for discriminating electricity larceny based on real-time electricity utilization monitoring |
-
2023
- 2023-05-05 CN CN202310494181.7A patent/CN116482598A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117093943A (en) * | 2023-08-23 | 2023-11-21 | 广东电网有限责任公司佛山供电局 | Power consumption monitoring and early warning method and device |
| CN117147958A (en) * | 2023-08-23 | 2023-12-01 | 广东电网有限责任公司佛山供电局 | Method and device for discriminating electricity larceny based on real-time electricity utilization monitoring |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN116482598A (en) | Power consumption data monitoring method and device | |
| US11258855B2 (en) | System and method for analyzing and monitoring smart meter network communications | |
| US9262718B2 (en) | Systems and methods to predict a reduction of energy consumption | |
| US9542658B2 (en) | System and method for identifying power usage issues | |
| EP2096416A1 (en) | Management platform and associated method for managing smart meters | |
| US11188929B2 (en) | Advisor and notification to reduce bill shock | |
| US20160005015A1 (en) | Unusual usage alerts | |
| JP2006349483A (en) | Electric power consumption monitoring system | |
| US20200272187A1 (en) | Open automated demand response (openadr) server | |
| US20190362444A1 (en) | Systems And Methods For Improved Monitoring Of Energy And Water Consumption | |
| US20170148114A1 (en) | Identification of peak days | |
| CN209821878U (en) | Management system of building information | |
| CN109992473A (en) | Monitoring method, device, equipment and the storage medium of application system | |
| US20120101749A1 (en) | Advanced Metering Infrastructure Network Visualization | |
| CN112032031B (en) | Cloud data analysis method, device and system for air compressor | |
| US20160132975A1 (en) | Identifying high usage periods | |
| CN111465045B (en) | AP monitoring method, monitoring server and monitoring system | |
| CN104572409A (en) | Application parameter management method and system and electronic device | |
| CN115459434A (en) | Intelligent electricity consumption monitoring method and system for industrial enterprise | |
| CN113835961A (en) | Alarm information monitoring method, device, server and storage medium | |
| CN111128357B (en) | Hospital logistics energy consumption target object monitoring method and device and computer equipment | |
| CN110990219B (en) | Computer monitoring method based on prediction model | |
| CA2779112A1 (en) | Application ratings based on performance metrics | |
| JP2013017293A (en) | Power saving information provision device, method, system, and program | |
| CN109218062B (en) | Internet service alarm method and device based on confidence interval |
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 |