CN113834512B - Anomaly detection method and device - Google Patents
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- CN113834512B CN113834512B CN202111409386.8A CN202111409386A CN113834512B CN 113834512 B CN113834512 B CN 113834512B CN 202111409386 A CN202111409386 A CN 202111409386A CN 113834512 B CN113834512 B CN 113834512B
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Abstract
The embodiment of the application discloses an abnormality detection method and device. One embodiment of the method comprises: receiving a first meter reading for a first meter and a second meter reading for a second meter; acquiring a preset connection relation of a first meter and a second meter; and detecting whether meter abnormality exists based on the first meter reading, the second meter reading and the preset connection relation. This embodiment can ensure the accuracy of the data distribution based on the first meter reading and the second meter reading.
Description
Technical Field
The embodiment of the application relates to the field of intelligent equipment, in particular to an anomaly detection method and device.
Background
In the prior art, in an application scenario of a multi-meter distributed arrangement, by acquiring meter readings of a common area, distribution of metering data may be determined based on the meter readings. However, in determining the dispensing of metering data based on meter readings, the problem of determining that the dispensing is inaccurate is faced.
Disclosure of Invention
The embodiment of the application provides an abnormality detection method and device.
In a first aspect, an embodiment of the present application provides an anomaly detection method, including: receiving a first meter reading for a first meter and a second meter reading for a second meter; acquiring a preset connection relation between the first meter and the second meter; and detecting whether meter abnormality exists based on the first meter reading, the second meter reading and the preset connection relation.
In some embodiments, the method further comprises: in response to detecting the presence of the meter anomaly, an alert message is sent to a device management system that manages the first meter or the second meter.
In some embodiments, said detecting whether a meter anomaly exists based on said first meter reading, said second meter reading, and said predetermined connection comprises: determining a meter connection relationship between the first meter and the second meter based on the first meter reading and the second meter reading; and detecting whether the meter is abnormal or not based on the meter connection relation and the preset connection relation.
In some embodiments, the detecting whether a meter abnormality exists based on the meter connection relationship and the preset connection relationship includes: determining that the meter abnormality does not exist in response to the meter connection relation being the same as the preset connection relation; and responding to the difference between the meter connection relation and the preset connection relation, and determining that the meter is abnormal.
In some embodiments, said determining a meter connection relationship between said first meter and said second meter based on said first meter reading and said second meter reading comprises: determining a first reading increment for the first meter based on the first meter reading; determining a second meter increment for the second meter based on the second meter reading; in response to the first reading increment being less than the second reading increment, determining that the meter connection relationship is a parallel connection; receiving a first updated meter reading of the first meter and a second updated meter reading of the second meter in a case where resource consumption of an area where the first meter is located is stopped, in response to the first reading increment not being less than the second reading increment; and determining the meter connection relationship based on the first updated meter reading and the second updated meter reading.
In some embodiments, said determining said meter connection relationship based on said first updated meter reading and said second updated meter reading comprises: determining a first updated reading increment for the first meter based on the first updated meter reading; determining a second updated reading increment for the second meter based on the second updated meter reading; responsive to the first updated reading increment being equal to the second updated reading increment, determining that the meter connection relationship is a series connection; and responsive to the first updated reading increment being less than the second updated reading increment, determining that the meter connection relationship is a parallel connection.
In some embodiments, when the second meter is multiple, the determining the meter connection relationship based on the first updated meter reading and the second updated meter reading comprises: determining a first updated reading increment for the first meter based on the first updated meter reading; determining, for each of the plurality of second meters, a second updated reading increment for each second meter based on the respective second updated meter reading; responsive to the first updated reading increment being equal to the sum of each second updated reading increment, determining that the meter connection relationship is a series connection; in response to the first updated reading increment being less than any of the second updated reading increments, determining that the meter connection relationship is a parallel connection.
In some embodiments, the first meter is a meter in the public domain and the second meter is a meter in the private domain.
In some embodiments, receiving a first updated meter reading for the first meter and a second updated meter reading for the second meter in the event that the area in which the first meter is located ceases to consume resources comprises: receiving the first updated meter reading and the second updated meter reading for multiple times at preset time intervals under the condition that the resource consumption of the area where the first meter is located is stopped; responsive to the first updated reading increment being equal to the second updated reading increment, determining that the meter connection relationship is a series connection, comprising: determining that the meter connection relationship is the series connection in response to each acquired first updated reading increment being equal to the second updated reading increment; and responsive to the first updated reading increment being less than the second updated reading increment, determining that the meter connection relationship is a parallel connection, comprising: determining that the meter connection relationship is the parallel connection in response to each acquired first updated reading increment being less than the second updated reading increment.
In a second aspect, an embodiment of the present application provides an abnormality detection apparatus, including: a receiving module for receiving a first meter reading of a first meter and a second meter reading of a second meter; the acquisition module is used for acquiring the preset connection relation of the first meter and the second meter; and the detection module is used for detecting whether meter abnormality exists or not based on the first meter reading, the second meter reading and the preset connection relation.
In some embodiments, the means for detecting a metering mode anomaly of the meter further comprises: and the sending module is used for responding to the detected meter abnormity and sending a reminding message to a device management system for managing the first meter and the second meter.
In some embodiments, the detection module includes a determination submodule and a detection submodule. The determination submodule is configured to determine a meter connection between the first meter and the second meter based on the first meter reading and the second meter reading. The detection submodule is used for detecting whether the meter is abnormal or not based on the meter connection relation and the preset connection relation.
In some embodiments, the detection submodule includes a first detection unit and a second detection unit. The first detection unit is used for responding to the condition that the meter connection relation is the same as the preset connection relation and determining that the meter is abnormal. The second detection unit is used for responding to the fact that the connection relation of the meters is different from the preset connection relation, and determining that the meters are abnormal.
In some embodiments, the determination submodule includes a first determination unit, a second determination unit, a third determination unit, a reception unit, and a fourth determination unit. The first determination unit is to determine a first reading increment for the first meter based on the first meter reading. The second determination unit is to determine a second reading increment for the second meter based on the second meter reading. The third determining unit is used for responding to the first reading increment being smaller than the second reading increment and determining that the meter connection relation is parallel connection. The receiving unit is used for responding to the first reading increment not less than the second reading increment, and receiving a first updated meter reading of the first meter and a second updated meter reading of the second meter under the condition that the resource consumption of the area where the first meter is located is stopped. The fourth determination unit is configured to determine a meter connection relationship based on the first updated meter reading and the second updated meter reading.
In some embodiments, the fourth determination unit includes a first determination subunit, a second determination subunit, a third determination subunit, and a fourth determination subunit. The first determining subunit is to determine a first updated reading increment for the first meter based on the first updated meter reading. The second determining subunit is to determine a second updated reading increment for the second meter based on the second updated meter reading. The third determining subunit is configured to determine that the meter connection relationship is a series connection in response to the first updated reading increment being equal to the second updated reading increment. The fourth determining subunit is configured to determine that the meter connection relationships are parallel connections in response to the first updated reading increment being less than the second updated reading increment.
In some embodiments, the first determining subunit is configured to determine a first updated reading increment for the first meter based on the first updated meter reading when the second meter is multiple. The second determining subunit is configured to determine, for each of the plurality of second meters, a second updated reading increment for each of the second meters based on the respective second updated meter reading. The third determining subunit is for determining that the meter connection relationship is a series connection in response to the first updated reading increment being equal to a sum of each of the second updated reading increments. The fourth determining subunit is configured to determine that the meter connection relationship is a parallel connection in response to the second updated reading increment being less than any of the second updated reading increments.
In some embodiments, the first meter is a meter in the public domain and the second meter is a meter in the private domain.
In some embodiments, the receiving unit is configured to receive the first updated meter reading and the second updated meter reading a plurality of times at preset time intervals in a case where the resource consumption of the area in which the first meter is located stops. The third determining subunit is configured to determine that the meter connection relationship is a series connection in response to each acquired first update data increment being equal to the second update data increment. The fourth determining subunit is used for determining that the meter connection relationship is parallel connection in response to the first updated reading increment acquired each time being smaller than the second updated reading increment.
In a third aspect, the present application provides a computer readable medium, on which a computer program is stored, where the program, when executed by a processor, implements the method as described in any implementation manner of the first aspect.
In a fourth aspect, the present application provides a processor, where the processor is configured to execute a program, where the program executes to perform the method described in any implementation manner of the first aspect.
In a fifth aspect, an embodiment of the present application provides an electronic device, including: one or more processors; a storage device having one or more programs stored thereon; the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the method as described in any implementation of the first aspect.
The anomaly detection method and the anomaly detection device provided by the embodiment of the application acquire the preset connection relation of the first meter and the second meter by receiving the first meter reading of the first meter and the second meter reading of the second meter, and detect whether the meters are abnormal or not based on the first meter reading, the second meter reading and the preset connection relation, so that the accuracy of data distribution based on the first meter reading and the second meter reading is ensured.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some examples or embodiments of the present application, and that for a person skilled in the art, other drawings can be obtained from the provided drawings without inventive effort, and that the present application can also be applied to other similar scenarios from the provided drawings. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
FIG. 1 is an exemplary system architecture diagram to which some embodiments of the present application may be applied.
FIG. 2 is a flow diagram of one embodiment of an anomaly detection method according to the present application.
Fig. 3 is a schematic diagram of an application scenario of the anomaly detection method according to the present application.
FIG. 4 is a flow chart of yet another embodiment of an anomaly detection method according to the present application.
FIG. 5 is a flow diagram of one embodiment of an anomaly detection method according to the present application.
FIG. 6 is a timing diagram of one embodiment of an anomaly detection system according to the present application.
Fig. 7 is a schematic configuration diagram of an embodiment of an abnormality detection apparatus according to the present application.
Fig. 8 is a schematic structural view of still another embodiment of the abnormality detection apparatus according to the present application.
FIG. 9 is a schematic block diagram of an electronic device suitable for use in implementing some embodiments of the present application.
Detailed Description
The present application will be described in further detail with reference to the following drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the relevant invention and not restrictive of the invention. The described embodiments are only some embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that, for convenience of description, only the portions related to the related invention are shown in the drawings. The embodiments and features of the embodiments in the present application may be combined with each other without conflict.
It should be understood that "system", "apparatus", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements. An element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
In the description of the embodiments herein, "/" means "or" unless otherwise specified, for example, a/B may mean a or B; "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, in the description of the embodiments of the present application, "a plurality" means two or more than two.
In the following, the terms "first", "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, the various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
In the related art, for an application scenario of a multi-meter distributed arrangement, such as an apartment, an office building, a mall, a home housing, etc., resource consumption (such as electric quantity, water rate, gas rate, etc.) in a public area needs to be shared. Statistics of resource consumption in public areas are related to the way meters are distributed. Wherein, the distribution mode of the strapping table of public area includes: an aggregate meter mode and an individual meter mode. In the total meter mode, the resource consumption amount to be shared in the public area is calculated to be equal to the difference between the reading of the meter in the public area and the reading of the meter in the private area, the reading of the meter in the public area used for calculating the shared area last time is subtracted, and the reading of the meter in the private area used for calculating the shared area last time is subtracted. In the independent meter mode, the amount of resource consumption to be amortized for the common area is equal to the reading of the meter in the common area minus the reading of the meter in the common area used for the last calculation of the common area.
The inventor of the application finds out through research that: in a metering data distribution scene for a public area meter, if the distribution mode of the public area meter and a private area meter is different from the distribution mode used in metering data distribution, a metering data distribution error can be caused. Thus, detecting the presence or absence of meter anomalies has a large impact on the accuracy of data distribution based on meter readings of a common area.
Therefore, the application provides an abnormality detection method and device, and when the abnormality of the meter is detected, the alarm message is output to ensure that the metering data can be accurately distributed.
Fig. 1 illustrates an exemplary system architecture 100 to which some embodiments of the anomaly detection method or anomaly detection apparatus of the present application may be applied.
As shown in FIG. 1, the system architecture 100 may include a first meter 101, a second meter 102, a device management system 103, a network 104, and a server 105. Network 104 is used to provide a medium for communication links between meters 101 and 102, device management system 103, and server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The first meter 101, the second meter 102, the device management system 103 may interact with the server 105 over the network 104 to receive or send messages, etc. The first meter 101 and the second meter 102 may be the same type of meter, such as an electric meter, a water meter, a gas meter, a smart electric meter, a smart water meter, a smart gas meter, and the like. Device management system 103 may be used to manage first meter 101 and second meter 102, and various client applications, such as shopping-like applications, search-like applications, social platform software, etc., may be installed on device management system 103.
The device management system 103 may be hardware or software. When the device management system 103 is hardware, it may be various electronic devices, including but not limited to smart phones, tablet computers, wearable devices, car-mounted devices, Augmented Reality (AR)/Virtual Reality (VR) devices, ultra-mobile personal computers (UMPC), netbooks, Personal Digital Assistants (PDA), e-book readers, MP3 (Moving Picture Experts Group Audio Layer III, Moving Picture Experts compressed standard Audio Layer 3) players, MP4 (Moving Picture Experts Group Audio Layer IV, Moving Picture Experts compressed standard Audio Layer 4) players, laptop portable computers, desktop computers, and other electronic devices. When the device management system 103 is software, it can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services) or as a single piece of software or software module. The embodiment of the present application does not set any limit to the specific type of the electronic device.
The server 105 may be a server that provides various services, such as a backend server that provides support for the first meter 101, the second meter 102, and the device management system 103. The backend server may, in response to receiving a request for data or information acquisition sent by the first meter 101, the second meter 102, and the device management system 103, analyze the data to obtain an analysis result (e.g., whether there is a meter anomaly), or analyze the request to obtain a processing result, and return the processing result.
The server 105 may be hardware or software. When the server 105 is hardware, it may be implemented as a distributed server cluster composed of a plurality of servers, or may be implemented as a single server. When the server 105 is software, it may be implemented as multiple pieces of software or software modules (e.g., to provide distributed services), or as a single piece of software or software module. And is not particularly limited herein.
It should be noted that the abnormality detection method provided in the embodiment of the present application is generally executed by the server 105, and accordingly, the abnormality detection apparatus is generally integrated in the server 105.
It should be understood that the number of meters, device management systems, networks, and servers in FIG. 1 are merely illustrative. There may be any number of meters, device management systems, networks, and servers, as desired for an implementation. For example, the system architecture 100 may include one second meter and may also include two or more second meters. Server 105 receives a first meter reading of first meter 101 and a second meter reading of second meter 102, receives a preset connection relationship of first meter 101 and second meter 102 from equipment management system 103, and detects whether a meter anomaly exists based on the first meter reading, the second meter reading, and the preset connection relationship. When the presence of a meter anomaly is detected, server 105 sends an alert message to first meter 101, second meter 102, or device management system 103.
In some examples, the system architecture 100 may also not include the device management system 103. In this case, the server 105 obtains the preset connection relationship of the first meter and the second meter from the first meter 101 and/or the second meter 102, and sends an alert message to the first meter 101 and/or the second meter 102 when the presence of the meter is detected.
Referring to FIG. 2, a flow 200 of one embodiment of an anomaly detection method according to the present application is shown. The abnormality detection method includes the following steps.
In step 201, a first meter reading of a first meter and a second meter reading of a second meter are received.
In this embodiment, the performing entity of the anomaly detection method (e.g., server 105 shown in FIG. 1) may receive the first meter reading and the second meter reading. For example, server 105 may obtain a first meter reading and a second meter reading at the same time. For example, the first meter reading and the second meter reading carry time information so that the server 105 can determine the first meter reading and the second meter reading that belong to the same time based on the time information.
In one example, server 105 may pre-obtain meter identifiers having a correspondence with and obtain a first meter reading and a second meter reading from corresponding meters. In another example, server 105 can receive a first identifier bound to a first meter reading and a second identifier bound to a second meter reading, determine that the first meter reading and the second meter reading have a correspondence. For example, when the first identifier and the second identifier correspond to the same context identifier, the server 105 determines that the first meter reading and the second meter reading have a correspondence. For example, the server 105 obtains a first meter reading associated with the first meter 101 and a second meter reading associated with the second meter 102 within the same scenario. Wherein, the scene refers to the scene of multi-meter distributed arrangement, such as apartment, office building, shopping mall, home housing, etc.
In some embodiments, the first meter 101 may send a first meter reading to the server 105 periodically or in response to a request by the server 105, and the second meter 102 may send a second meter reading to the server 105 periodically or in response to a request by the server 105, where the first meter reading and the second meter reading are readings generated by the first meter 101 and the second meter 102, respectively, at the same time. In other embodiments, server 105 may also read from local memory a first meter reading of first meter 101 and a second meter reading of second meter 102 at the same time, although the present application is not limited in this respect.
In some examples, the server 105 may receive first meter readings and second meter readings periodically transmitted by the first meter 101, the second meter 102, or a local server. In other embodiments, the server 105 may send the request instructions and the first meter 101, the second meter 102, or the local server may send the first meter reading and the second meter reading to the server 105 in response to the request instructions.
In this embodiment, the server 105 can obtain a preset connection relationship of the first meter 101 and the second meter 102.
And the preset connection relation and the scene identifier have a corresponding relation. In some embodiments, the preset connection relationship may be set when the first meter 101 and the second meter 102 are installed in a scenario.
In some embodiments, the preset connection relationship may be stored in the first meter 101 or the second meter 102, and may also be stored in a local memory. In one example, the server 105 may obtain the preset connection relationship from the device management system 103. The device management system 103 is used to manage the first meter 101 and the second meter 102.
It is to be appreciated that server 105 can obtain the predetermined connection relationships from first meter 101, second meter 102, or local memory before, concurrently with, or after receiving the first meter reading and the second meter reading at the same time.
In this embodiment, the server 105 can detect whether there is a meter abnormality based on the first meter reading and the second meter reading at the same time, and the acquired preset connection relationship.
In some optional implementations of this embodiment, the server 105 detects whether there is a meter anomaly by a preset algorithm after receiving the first meter reading and the second meter reading and presetting the connection relationship. Specifically, the server 105 may detect the presence of meter anomalies based on the connection characteristics between the first meter 101 and the second meter 102. For example, server 105 exploits the characteristics of the parallel or serial logic of physical meters to detect whether the connection used to determine the distribution of metering data (e.g., cost sharing, etc.) is the same as the actual connection of the meters. If the connection mode is the same as the actual connection mode, determining that no meter abnormality exists; and if the connection mode is different from the actual connection mode, determining that the meter is abnormal.
Referring to fig. 3, fig. 3 is a schematic diagram of an application scenario of the anomaly detection method according to the present embodiment. The application scenario of the anomaly detection method is a scenario in which multiple meters are distributed, and fig. 3 only shows one application scenario, which does not limit the present application. In the application scenario of FIG. 3, the first meter 101 is disposed in a common space of the scenario, whereby the first meter 101 is a hub meter; second meter 102 is disposed in a private space of the scene, whereby the second meter is a private meter. A meter for public area refers to a meter for measuring the amount of consumption of resources in a public area, and a meter for private area refers to a meter for measuring the amount of consumption of resources in a private area.
In the present application, the first meter 101 and the second meter 102 are meters of the same type, and may be a smart meter, a smart water meter, a smart gas meter, or the like. In one example, the first meter 101 and the second meter 102 are smart meters. The first and second smartmeters 101 and 102 periodically send the first and second meter readings to the server 105. The smart management system 103 transmits a preset connection relationship between the first electricity meter 101 and the second electricity meter 102 to the server 105. After receiving the first electric meter reading and the second electric meter reading collected at the same time and the preset connection relationship, the server 105 detects whether the meter abnormality exists according to the first electric meter reading and the second electric meter reading and the preset connection relationship. When the meter abnormality is detected, a reminding message is sent to the first smart meter 101, the second smart meter 102 or the equipment management system 103.
The method provided by the above embodiment of the application detects whether the meter is abnormal or not by acquiring the first meter reading, the second meter reading and the preset connection relation, and can ensure the accuracy of data distribution based on the first meter reading and the second meter reading.
Referring to fig. 4, a flow 400 of yet another embodiment of an anomaly detection method is shown. The abnormality detection method includes the following steps.
In step 401, a first meter reading for a first meter and a second meter reading for a second meter are received.
The steps 401 and 402 are the same as the steps 201 and 202 in fig. 2, and are not described again here.
At step 403, a meter connection relationship between the first meter and the second meter is determined based on the first meter reading and the second meter reading.
In this embodiment, server 105 may determine a meter connection based on the first meter reading and the second meter reading. The meter connection relationship includes a parallel connection relationship and a series connection relationship.
In the present embodiment, the server 105 detects the presence or absence of a meter abnormality by determining whether the meter connection relationship is the same as a preset connection relationship.
In some embodiments, the method further includes step 4041, determining that there is no meter anomaly when the meter connection is the same as the preset connection; step 4042, when the meter connection relationship is different from the preset connection relationship, determining that there is a meter abnormality.
In some examples, the preset connection relationship includes a parallel connection relationship and a series connection relationship. When the connection relation of the meters is the parallel connection relation and the preset connection relation is the series connection relation, the server 105 determines that the meter abnormality exists; or when the connection relation of the meters is a series connection relation and the preset connection relation is a parallel connection relation, the server 105 determines that meter abnormality exists; or when the connection relation of the meters is the parallel connection relation and the preset connection relation is the parallel connection relation, the server 105 determines that no meter abnormality exists; or when the meter connection relationship is the series connection relationship and the preset connection relationship is the series connection relationship, the server 105 determines that there is no meter abnormality.
In this embodiment, server 105, upon determining that a meter anomaly exists, sends a reminder message to device management system 103 to correct the metering mode of the meter. The metering mode of the meter refers to a meter distribution mode used when metering data distribution is calculated.
As can be seen from fig. 4, compared with the embodiment corresponding to fig. 2, the flow 400 of the anomaly detection method in this embodiment obtains the meter connection relationship based on the first meter reading and the second meter reading, and compares whether the meter connection relationship is the same as the preset connection relationship, so that the scheme described in this embodiment can correct the metering manner in time after detecting the meter anomaly, and the server performs accurate metering data allocation based on the first meter data, the second meter data, and the corrected metering manner. Under the condition that the first meter and the second meter are intelligent meters, the apportioned electric charge calculated based on the first meter reading and the second meter reading is acquired more accurately according to the first meter reading, the second meter reading and the corrected metering mode.
Referring to FIG. 5, a flow 500 of yet another embodiment of an anomaly detection method is shown. The abnormality detection method includes the following steps.
In step 501, a first meter reading of a first meter and a second meter reading of a second meter are received.
The steps 501 and 502 are the same as the steps 201 and 202 in fig. 2, and are not described again here.
In this embodiment, server 105, upon receiving the first meter reading, determines a first reading increment for the first meter based on the last acquired first meter reading. Server 105, upon receiving the second meter reading, determines a second reading increment for the second meter based on the last acquired second meter reading.
It will be appreciated that the first meter reading and the second meter reading last acquired may be stored in the server 105 or in a local memory, referring to the meter readings at the same time, i.e., the meter readings generated by the first meter 101 and the second meter 102 at the same time.
In one example, first meter 101 is a meter in the public domain and second meter 102 is a meter in the private domain. It will be appreciated that the meter in the public and meter in the private can be arranged to be connected in parallel or in series. The parallel connection means that the reading increment of the meter in the public area and the reading increment of the meter in the private area do not interfere with each other. The serial connection means that the reading increment of the private meter is a component of the reading increment of the public meter, that is, the reading increment of the public meter not only includes the reading increment of the private meter, but also includes the reading increment generated by the resource consumption in the area where the public meter is located.
And 505, when the first reading increment is not less than the second reading increment, receiving a first updated meter reading of the first meter and a second updated meter reading of the second meter under the condition that the resource consumption of the area where the first meter is located is stopped.
In this embodiment, when the first reading increment is greater than or equal to the second reading increment, it may be determined that the meter connection relationship may be a parallel connection or a series connection.
In this case, the server 105 may receive a first updated meter reading and a second updated meter reading when the resource consumption stops in the area where the first meter 101 is located. Here, stopping the resource consumption of the area where the first meter 101 is located means stopping the supply of power, water, gas, etc. to the area where the first meter 101 is located so that the resource consumption of the area where the first meter 101 is located is stopped.
In some embodiments, first meter 101 is a meter in the field and second meter 102 is a meter in the private field. In one example, the first meter 101 and the second meter 102 are smart meters. When the first reading increment is not less than the second reading increment, the server 105 controls the intelligent switch in the public area where the public area intelligent electric meter is located to be closed, so that power supply to the public area is stopped. At this time, the server 105 receives the updated readings of the public zone smart meters and the updated readings of the private zone meters.
In some embodiments, the server receives the first updated meter reading and the second updated meter reading multiple times at a preset time interval in the event that the area in which the first meter 101 is located ceases to be resource consuming.
At step 506, a meter connection relationship is determined based on the first updated meter reading and the second updated meter reading.
In this embodiment, server 105 performs the determining of meter connections from the first updated meter reading and the second updated meter reading in step 506 according to the following steps.
Step 5061, determining a first updated reading increment for the first meter based on the first updated meter reading; a second updated reading increment for the second meter is determined based on the second updated meter reading.
The implementation of step 5061 is the same as that of step 503, and is not described herein again.
At step 5062, it is determined that the meter connection relationship is a series connection when the first updated reading increment equals the second updated reading increment.
In one example, first meter 101 is a meter in the public domain and second meter 102 is a meter in the private domain. When the common area ceases to consume resources, the meter connections may be determined to be connected in series if the first updated reading increment equals the second updated reading increment.
In some embodiments, where the server 105 receives a first updated meter reading and a second updated meter reading at preset time intervals, the server 105 may determine that the meter connection relationship is a series connection when each acquired first updated reading increment equals a second updated reading increment.
At step 5063, when the first updated reading increment is less than the second updated reading increment, it is determined that the meter connection relationship is a parallel connection.
In one example, first meter 101 is a meter in the public domain and second meter 102 is a meter in the private domain. When the common area ceases to consume resources, the server 105 may determine that the meter connection relationship is a parallel connection if the first update reading increment is less than the second update reading increment, even when the first update reading increment is 0.
In some embodiments, where server 101 receives a first updated meter reading and a second updated meter reading at preset time intervals, server 105 may determine that the meter connection relationship is a parallel connection when each acquired first updated reading increment is less than a second updated reading increment, even when each acquired first updated reading increment is 0.
In some embodiments, a scenario of a multi-meter distributed arrangement may include one first meter and a plurality of second meters. Wherein, the first strapping table is a public area strapping table, and the second strapping table is a private area strapping table. When there are a plurality of second meters, for each second meter, a second updated reading increment for each second meter is determined based on the respective second updated meter reading. When the first updated reading increment is equal to the sum of each second updated reading increment, the meter connection relationship is determined to be a series connection, and when the first updated reading increment is less than any of the second updated reading increments, the meter connection relationship is determined to be a parallel connection.
And 507, detecting whether meter abnormity exists according to the meter connection relation and the preset connection relation.
In this embodiment, step 507 may include the following.
At step 5071, when the meter connection relationship is the same as the preset connection relationship, it is determined that there is no meter abnormality.
At step 5072, when the meter connection relationship is different from the preset connection relationship, it is determined that a meter anomaly exists.
When the connection relationship of the meters is series connection and the preset connection relationship is series connection, the server 105 determines that no meter abnormality exists; when the connection relationship of the meters is parallel connection and the preset connection relationship is parallel connection, the server 105 determines that no meter abnormality exists; when the connection relationship of the meters is the series connection and the preset connection relationship is the parallel connection, the server 105 determines that there is an abnormality of the meters; when the meter connection relationship is a parallel connection and the preset connection relationship is a series connection, the server 105 determines that there is a meter abnormality.
Step 508, when meter anomalies exist, a reminder message is sent to a device management system that manages the first meter or the second meter.
In this embodiment, when server 105 determines that a meter anomaly exists, server 105 sends a reminder message to first meter 101, second meter 201, or device management system 103 to correct the metering style of the meters. In addition, server 105 performs accurate metering data distribution based on the corrected metering mode, first meter reading, and second meter reading.
As can be seen from fig. 5, compared with the embodiment corresponding to fig. 2, the flow 400 of the abnormality detection method in this embodiment obtains the meter connection relationship based on the first meter reading and the second meter reading, and compares whether the meter connection relationship is the same as the preset connection relationship, so that the scheme described in this embodiment can correct the metering manner of the meter in time after detecting the meter abnormality, and the server performs accurate distribution of the metering data based on the first meter reading, the second meter reading, and the corrected metering manner. In the case where the first meter 101 and the second meter 102 are smart meters, the shared electricity rate calculated based on the first meter reading is more accurately acquired according to the first meter reading, the second meter reading, and the corrected metering manner.
Referring to fig. 6, fig. 6 is a timing diagram of one embodiment of an anomaly detection system according to the present application.
The anomaly detection system includes a device management system 103, a server 105, a first meter 101, and a second meter 102.
Device management system 103 transmits the scenario identifier, and the meter identification and preset connection relationship corresponding to the scenario identifier to server 105. Wherein the meter identifier may include a first identifier and a second identifier.
The meters send meter readings to the server 105 periodically or in response to a request from the server 105. The meters include a first meter 101, a second meter 102, and other meters.
In one example, when the meter receives the alert message, the metering mode is corrected, and accurate metering data distribution is ensured by modifying the metering mode used to calculate the metering data distribution.
As an implementation of the method shown in some of the above figures, the present application provides an embodiment of an anomaly detection apparatus, which corresponds to the method embodiment shown in fig. 2, and which may be specifically integrated in various electronic devices.
As shown in fig. 7, the abnormality detection apparatus 700 of the present embodiment includes: a receiving module 701, an obtaining module 702 and a detecting module 703. Wherein receiving module 701 is configured to receive a first meter reading of a first meter and a second meter reading of a second meter. The obtaining module 702 is configured to obtain a preset connection relationship between the first meter and the second meter. The detection module 703 is configured to detect whether there is a meter anomaly based on the first meter reading, the second meter reading, and a preset connection relationship.
In this embodiment, specific processing of the receiving module 701, the obtaining module 702, and the detecting module 703 and technical effects brought by the processing can refer to related descriptions of the embodiments of step 201, step 202, and step 203 in the corresponding embodiment of fig. 2, which are not described herein again.
In some optional implementations of this embodiment, as shown in fig. 8, the apparatus 700 further includes a sending module 704. The sending module 704 is configured to send a reminder message to a device management system that manages the first meter and the second meter in response to detecting the presence of the meter anomaly.
In some optional implementations of this embodiment, detection module 703 includes a determination submodule 7031 and a detection submodule 7032. Determination submodule 7031 is configured to determine a meter connection relationship between the first meter and the second meter based on the first meter reading and the second meter reading. Detection submodule 7032 is configured to detect whether a meter anomaly exists based on the meter connection relationship and a preset connection relationship.
In some alternative implementations of this embodiment, detection submodule 7032 includes a first detection cell 70321 and a second detection cell 70322. The first detection unit 70321 is used to determine that a meter anomaly is not present in response to the meter connection being the same as a preset connection. The second detection unit 70322 is used to determine that a meter anomaly exists in response to the meter connection differing from a preset connection.
In some optional implementations of the present embodiment, the determining submodule 7031 includes a first determining unit 70311, a second determining unit 70312, a third determining unit 70313, a receiving unit 70314, and a fourth determining unit 70315. First determining unit 70311 is configured to determine a first reading increment for the first meter based on the first meter reading. Second determining unit 70312 is configured to determine a second reading increment for the second meter based on the second meter reading. The third determination unit 70313 is configured to determine that the meter connection relationships are parallel connections in response to the first reading increment being less than the second reading increment. The receiving unit 70314 is configured to receive a first updated meter reading of the first meter and a second updated meter reading of the second meter in response to the first reading increment not being smaller than the second reading increment in case that the resource consumption of the area where the first meter is located is stopped. The fourth determination unit 70315 is configured to determine a meter connection relationship based on the first updated meter reading and the second updated meter reading.
In some optional implementations of the present embodiment, the fourth determination unit 70315 includes a first determination subunit 703151, a second determination subunit 703152, a third determination subunit 703153, and a fourth determination subunit 703154. The first determination subunit 703151 is operable to determine a first updated reading increment for the first meter based on the first updated meter reading. Second determining subunit 703152 is operable to determine a second updated reading increment for the second meter based on the second updated meter reading. The third determining subunit 703153 is operable to determine that the meter connection relationship is a series connection in response to the first updated reading increment being equal to the second updated reading increment. The fourth determining subunit 703154 is configured to determine that the meter connection relationship is a parallel connection in response to the first updated reading increment being less than the second updated reading increment.
In some optional implementations of this embodiment, when the second meter is multiple, the first determining subunit 703151 is configured to determine a first updated reading increment for the first meter based on the first updated meter reading. The second determining subunit 703152 is configured to determine, for each of the plurality of second meters, a second updated reading increment for each of the second meters based on the respective second updated meter reading. The third determining subunit 703153 is to determine that the meter connection relationship is a series connection in response to the first updated reading increment being equal to the sum of each of the second updated reading increments. The fourth determining subunit 703154 is to determine that the meter connection relationship is a parallel connection in response to the second updated reading increment being less than any of the second updated reading increments.
In some alternative implementations of this embodiment, the first meter is a meter in the public domain and the second meter is a meter in the private domain.
In some alternative implementations of this embodiment, the receiving unit 70314 is configured to receive the first updated meter reading and the second updated meter reading multiple times at preset time intervals in the event that the resource consumption stops in the area where the first meter is located. The third determining subunit 703153 is configured to determine that the meter connection relationship is a series connection in response to each acquired first update data increment being equal to the second update data increment. The fourth determining subunit 703154 is configured to determine that the meter connection relationship is a parallel connection in response to each acquired first updated reading increment being less than the second updated reading increment.
It should be noted that the abnormality detection apparatus 700 may be a chip, a component, or a module, the abnormality detection apparatus 700 may include a processor and a memory, the obtaining unit 701, the receiving unit 702, the detection unit 703, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor may include a kernel, which calls the corresponding program unit from the memory. The kernel may be set one or more to ensure accuracy of data distribution based on the first meter reading and the second meter reading by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The above-mentioned embodiment of this application provides an anomaly detection device, through obtaining first strapping table reading, second strapping table reading, predetermine the relation of connection, detects whether have the strapping table unusual, can guarantee the accuracy of the data distribution based on first strapping table reading and second strapping table reading.
Referring now to FIG. 9, shown is a schematic diagram of an electronic device 700 suitable for use in implementing some embodiments of the present application. The electronic device shown in fig. 9 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.
As shown in fig. 9, electronic device 900 may include a processor 901, a memory 902, a communication interface 903, an input unit 904, an output unit 905, and a communication bus 906. Wherein the processor 901 and the memory 902 are connected to each other by a communication bus 906. A communication interface 903, an input unit 904 and an output unit 905 are also connected to the communication bus 906.
The communication interface 903 may be an interface of a communication module, such as an interface of a GSM module. Communication interface 903 may be used to obtain a first meter reading and a second meter reading, with communication interface 903 also receiving a preset connection relationship.
In the embodiment of the present application, the processor 901 may be a Central Processing Unit (CPU), an application-specific integrated circuit (ASIC), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic devices.
In one possible implementation, the memory 902 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, and the like), and the like; the storage data area may store data created during use of the computer, such as meter readings, preset connections, user data, user access data, audio data, and the like.
Further, the memory 902 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device or other volatile solid state storage device.
The processor 901 may call a program stored in the memory 902, and in particular, the processor 901 may perform the above abnormality detection method shown in fig. 2 to 5.
The memory 902 is used for storing one or more programs, the programs may include program codes, the program codes comprise computer operation instructions, in the embodiment of the present application, at least the programs for realizing the following functions are stored in the memory 902: receiving a first meter reading for a first meter and a second meter reading for a second meter; acquiring a preset connection relation between a first meter and the second meter; and detecting whether meter abnormality exists based on the first meter reading, the second meter reading and the preset connection relation.
The application may further include an input unit 905, and the input unit 905 may include at least one of a touch sensing unit that senses a touch event on the touch display panel, a keyboard, a mouse, a camera, a sound pickup, and the like.
The output unit 904 may include: at least one of a display, a speaker, a vibration mechanism, a light, and the like. The display may comprise a display panel, such as a touch display panel or the like. In one possible case, the Display panel may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like. The vibration mechanism may displace the electronic device 900 during operation, and in one possible implementation, the vibration mechanism includes a motor and an eccentric vibrator, and the motor drives the eccentric vibrator to rotate so as to generate vibration. The brightness and/or color of the lamp can be adjusted, in a possible implementation manner, different information can be embodied through at least one of the on-off, brightness and color of the lamp, for example, the alarm information can be embodied through red light emitted by the lamp.
Of course, the structure of the electronic device 900 shown in fig. 7 does not constitute a limitation of the electronic device in the embodiment of the present application, and in practical applications, the electronic device may include more or less components than those shown in fig. 9, or some components may be combined.
The present application provides a computer readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the anomaly detection method described in the above method embodiments.
The embodiment of the present application provides a processor, where the processor is configured to run a program, where the program implements the abnormality detection method described in the above method embodiments when running.
The present application also provides a computer program product which, when executed on a data processing apparatus, causes the data processing apparatus to implement the anomaly detection method described in the above method embodiments.
In addition, the electronic device, the processor, the computer-readable medium, or the computer program product provided in the foregoing embodiments of the present application may be all used for executing the corresponding method provided above, and therefore, the beneficial effects achieved by the electronic device, the processor, the computer-readable medium, or the computer program product may refer to the beneficial effects in the corresponding method provided above, and are not described herein again.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, which include both non-transitory and non-transitory, removable and non-removable media, may implement the information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above description is only for the purpose of illustrating the preferred embodiments of the present application and the technical principles applied, and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. The scope of the invention according to the present application is not limited to the specific combinations of the above-described features, and may also cover other embodiments in which the above-described features or their equivalents are arbitrarily combined without departing from the spirit of the invention. For example, the above features may be replaced with (but not limited to) features having similar functions disclosed in the present application.
Claims (10)
1. An anomaly detection method, characterized in that it comprises:
receiving a first meter reading for a first meter and a second meter reading for a second meter;
acquiring a preset connection relation between the first meter and the second meter; and
detecting whether meter abnormality exists or not based on the first meter reading, the second meter reading and the preset connection relation;
wherein, based on the first meter reading, the second meter reading and the preset connection relation, whether meter abnormality exists is detected, including:
determining a meter connection relationship between the first meter and the second meter based on the first meter reading and the second meter reading; and
detecting whether the meter is abnormal or not based on the meter connection relation and the preset connection relation;
wherein determining meter connections between the first meter and the second meter based on the first meter reading and the second meter reading comprises:
determining a first reading increment for the first meter based on the first meter reading;
determining a second reading increment for the second meter based on the second meter reading;
in response to the first reading increment being less than the second reading increment, determining that the meter connection relationship is a parallel connection;
receiving a first updated meter reading of the first meter and a second updated meter reading of the second meter in a case where resource consumption of an area where the first meter is located is stopped, in response to the first reading increment not being less than the second reading increment; and
determining the meter connection relationship based on the first updated meter reading and the second updated meter reading;
wherein determining the meter connection relationship based on the first updated meter reading and the second updated meter reading comprises:
determining a first updated reading increment for the first meter based on the first updated meter reading;
determining a second updated reading increment for the second meter based on the second updated meter reading;
responsive to the first updated reading increment being equal to the second updated reading increment, determining that the meter connection relationship is a series connection; and
in response to the first updated reading increment being less than the second updated reading increment, determining that the meter connection relationship is a parallel connection.
2. The method of claim 1, further comprising:
in response to detecting the presence of the meter anomaly, sending an alert message to a device management system that manages the first meter or the second meter.
3. The method of claim 1, wherein said detecting whether a meter anomaly exists based on said meter connection relationship and said preset connection relationship comprises:
determining that the meter abnormality does not exist in response to the meter connection relation being the same as the preset connection relation; and
and determining that the meter is abnormal in response to the fact that the meter connection relation is different from the preset connection relation.
4. The method of claim 1, wherein when the second meter is a plurality of meters, said determining the meter connections based on the first updated meter reading and the second updated meter reading comprises:
determining a first updated reading increment for the first meter based on the first updated meter reading;
determining, for each of the plurality of second meters, a second updated reading increment for each second meter based on the respective second updated meter reading;
responsive to the first updated reading increment being equal to the sum of each second updated reading increment, determining that the meter connection relationship is a series connection;
in response to the first updated reading increment being less than any of the second updated reading increments, determining that the meter connection relationship is a parallel connection.
5. The method of claim 1, wherein the first meter is a meter and the second meter is a meter.
6. The method of claim 1,
receiving a first updated meter reading for the first meter and a second updated meter reading for the second meter under a condition that the area where the first meter is located stops resource consumption, comprising: receiving the first updated meter reading and the second updated meter reading for multiple times at preset time intervals under the condition that the resource consumption of the area where the first meter is located is stopped;
responsive to the first updated reading increment being equal to the second updated reading increment, determining that the meter connection relationship is a series connection, comprising: determining that the meter connection relationship is the series connection in response to each acquired first updated reading increment being equal to the second updated reading increment; and
responsive to the first updated reading increment being less than the second updated reading increment, determining that the meter connection relationship is a parallel connection, comprising: determining that the meter connection relationship is the parallel connection in response to each acquired first updated reading increment being less than the second updated reading increment.
7. An abnormality detection apparatus that implements the abnormality detection method according to any one of claims 1 to 6, characterized by comprising:
a receiving module for receiving a first meter reading of a first meter and a second meter reading of a second meter;
the acquisition module is used for acquiring the preset connection relation of the first meter and the second meter; and
and the detection module is used for detecting whether meter abnormality exists or not based on the first meter reading, the second meter reading and the preset connection relation.
8. A computer-readable medium, on which a computer program is stored, wherein the program, when executed by a processor, implements the anomaly detection method according to any one of claims 1 to 6.
9. A processor for running a program, wherein the program when running implements the anomaly detection method of any one of claims 1 to 6.
10. An electronic device, comprising:
one or more processors;
a storage device having one or more programs stored thereon;
the one or more programs, when executed by the one or more processors, cause the one or more processors to implement the anomaly detection method of any of claims 1-6.
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