Ammeter monitoring system, method and device and electronic equipment

Abstract

The invention discloses an electricity meter monitoring system, method and device and electronic equipment. The system comprises an electric meter detection device which is connected with at least one electric meter cluster, the electric meter cluster comprises a plurality of networked electric meters, and the electric meter detection device is used for detecting initial state data of the plurality of electric meters; the cluster server is connected with the ammeter detection device and is used for generating target state data of at least one ammeter cluster according to the initial state data of the plurality of ammeters; and the monitoring platform is connected with the cluster server and is used for monitoring the at least one ammeter cluster according to the target state data to obtain a monitoring result, the monitoring result is used for representing whether a target ammeter cluster exists in the at least one ammeter cluster, and the target ammeter cluster is a cluster with abnormal ammeters in the at least one ammeter cluster. According to the invention, the technical problem of low efficiency of monitoring the electricity meter is solved.

Description

Technical Field

[0001] The present invention relates to the field of power grids, and in particular to an electric meter monitoring system, method, device and electronic equipment. Background Art

[0002] In the power system, the electric meter is an important device for monitoring the use of electric energy. Due to the long-term operation of the electric meter and the uncertainty of the external environment, the operating temperature of the electric meter may be affected by many factors, including load changes, ambient temperature fluctuations, etc. These factors may cause abnormal temperature of the electric meter, thus affecting the normal operation of the electric meter and even causing equipment damage.

[0003] One solution for detecting electricity meters is to use an electricity meter temperature detection system to detect the electricity meters, but there are certain scale limitations. It is difficult to achieve effective monitoring and management for large-scale electricity meter clusters.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide an electric meter monitoring system, method, device and electronic equipment to at least solve the technical problem of low efficiency in monitoring the electric meter.

[0006] According to one aspect of an embodiment of the present invention, there is provided an electricity meter monitoring system, comprising: an electricity meter detection device, connected to at least one electricity meter cluster, the electricity meter cluster comprising a plurality of networked electricity meters, the electricity meter detection device being used to detect initial state data of the plurality of electricity meters; a cluster server, connected to the electricity meter detection device, and used to generate target state data of at least one electricity meter cluster based on the initial state data of the plurality of electricity meters; a monitoring platform, connected to the cluster server, and used to monitor at least one electricity meter cluster based on the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, the target electricity meter cluster being a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

[0007] Optionally, the system further includes: an alarm module connected to the monitoring platform, for outputting prompt information when the monitoring result shows that a target meter cluster exists in at least one meter cluster, wherein the prompt information is used to prompt that an abnormal meter exists in the target meter cluster.

[0008] Optionally, the system also includes: a client server, connected to the monitoring platform and at least one client, the at least one client corresponding one-to-one to at least one electricity meter cluster, and used to determine the target client corresponding to the target electricity meter cluster from at least one client when the monitoring result shows that there is a target electricity meter cluster in at least one electricity meter cluster, and send the monitoring result to the target client.

[0009] Optionally, the system further includes: a storage device connected to the cluster server and used to store the initial state data and the target state data; and a display device connected to the cluster server and used to display the initial state data and the target state data on a preset terminal.

[0010] According to another aspect of an embodiment of the present invention, an electricity meter monitoring method is also provided, including: using an electricity meter detection device in an electricity meter monitoring system to obtain initial state data of multiple electricity meters in at least one electricity meter cluster, wherein the electricity meter monitoring system is the above-mentioned electricity meter monitoring system; generating target state data of at least one electricity meter cluster based on the initial state data of the multiple electricity meters; monitoring at least one electricity meter cluster based on the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in at least one electricity meter cluster.

[0011] Optionally, generating target state data of at least one electricity meter cluster based on initial state data of multiple electricity meters includes: obtaining the type to be monitored of at least one electricity meter cluster; sorting the initial state data based on the type to be monitored to obtain a sorting result; and determining the target state data from the initial state data based on the sorting result.

[0012] Optionally, the initial state data is sorted based on the type to be monitored to obtain a sorting result, including: determining a preset sorting rule corresponding to the type to be monitored based on a preset corresponding relationship, wherein the preset corresponding relationship is used to represent the correspondence between multiple types to be monitored and multiple preset sorting rules; and sorting the initial state data of multiple electricity meters based on the preset sorting rule to obtain a sorting result.

[0013] Optionally, at least one electricity meter cluster is monitored according to the target status data to obtain a monitoring result, including: obtaining a preset data range corresponding to the type to be monitored; if the target status data is within the preset data range, determining that the monitoring result is that the target electricity meter cluster does not exist in at least one electricity meter cluster; if the target status data is not within the preset data range, determining that the monitoring result is that the target electricity meter cluster exists in at least one electricity meter cluster.

[0014] According to another aspect of an embodiment of the present invention, an electric meter monitoring device is also provided, including: an acquisition module, used to use an electric meter detection device in an electric meter monitoring system to acquire initial state data of multiple electric meters in at least one electric meter cluster, wherein the electric meter monitoring system is the above-mentioned electric meter monitoring system; a generation module, used to generate target state data of at least one electric meter cluster based on the initial state data of the multiple electric meters; a monitoring module, used to monitor at least one electric meter cluster based on the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electric meter cluster in at least one electric meter cluster, and the target electric meter cluster is a cluster in which abnormal electric meters exist in at least one electric meter cluster.

[0015] According to another aspect of an embodiment of the present invention, there is further provided an electronic device, comprising: a memory storing an executable program; and a processor for running the program, wherein the above-mentioned electric meter monitoring method is executed when the program is running.

[0016] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored executable program, wherein when the executable program runs, the device where the storage medium is located is controlled to execute the above-mentioned electric meter monitoring method.

[0017] According to another aspect of an embodiment of the present invention, a computer program product is provided, including: a computer program, and when the computer program is executed by a processor, the above-mentioned electric meter monitoring method is implemented.

[0018] In an embodiment of the present invention, an electric meter detection device is used, connected to at least one electric meter cluster, the electric meter cluster includes multiple electric meters connected to the network, and the electric meter detection device is used to detect the initial state data of the multiple electric meters; a cluster server is connected to the electric meter detection device, and is used to generate target state data of at least one electric meter cluster according to the initial state data of the multiple electric meters; a monitoring platform is connected to the cluster server, and is used to monitor at least one electric meter cluster according to the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electric meter cluster in at least one electric meter cluster, and the target electric meter cluster is a system in which there are abnormal electric meters in at least one electric meter cluster, so as to realize the monitoring of the electric meters. The cluster server selects a few representative target state data from the initial state data of the multiple electric meters, and uses the monitoring platform to detect the electric meter cluster according to the target state data of the electric meter cluster, which can reduce the amount of data that the detection platform needs to detect, and improve the acquisition speed of the monitoring result, thereby achieving the technical effect of improving the efficiency of electric meter monitoring, and further solving the technical problem of low efficiency in monitoring the electric meters. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a schematic diagram of an electric meter monitoring system according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of an electric meter monitoring method according to an embodiment of the present invention;

[0022] Figure 3 is a schematic diagram of an optional layout of an electric meter monitoring system according to an embodiment of the present invention;

[0023] Figure 4 is a schematic diagram of an electric meter monitoring device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0025] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0026] Example 1

[0027] According to an embodiment of the present invention, an embodiment of an electric meter monitoring system is provided. Figure 1 is a schematic diagram of an electric meter monitoring system according to an embodiment of the present invention. Figure 1 As shown, the system includes:

[0028] The electric meter detection device 10 is connected to at least one electric meter cluster, wherein the electric meter cluster includes a plurality of electric meters connected to the network, and the electric meter detection device is used to detect initial state data of the plurality of electric meters.

[0029] The meter cluster in the above steps is a cluster of multiple meters connected through a network. The meter cluster usually consists of a master station and multiple slave stations. The master station can monitor and manage the power usage of the slave stations in real time through the communication network, thereby improving the efficiency and accuracy of power management. Meter clusters are widely used in large buildings, industrial parks, communities and other scenarios. The cluster management of meters helps to achieve intelligent power management and energy conservation and emission reduction goals.

[0030] The electric meter in the above steps is an instrument used to measure electric energy consumption, which is usually installed in homes, industries and commercial buildings. It can record the usage of electric energy and usually includes a digital display screen and a metering device, wherein the metering device is used to record the usage of electric energy and the digital display screen is used to display the consumed electric energy.

[0031] The initial state data in the above steps is data that can be used to describe the state of the meter and can be used to determine whether the meter is faulty. It can be meter temperature data, meter current data, or meter voltage data, but is not limited to these. Other data that can describe the state of the meter and can be used to determine whether the meter is faulty can also be used as initial state data.

[0032] In an optional embodiment, the initial state data may be the temperature data of the electric meter. In the case where the initial state data is the temperature data of the electric meter, the electric meter detection device may be a temperature sensor.

[0033] Multiple electricity meters are connected through network sensors to form an electricity meter cluster. The temperature sensor is connected to at least one electricity meter cluster. The temperature sensor can collect temperature data of the electricity meter cluster. It can collect temperature data of the electricity meters regularly, in real time, or irregularly, but the method of collecting temperature data is not limited to this.

[0034] The temperature sensor can transmit the collected temperature data to the cluster server. The temperature data collected by the temperature sensor can be transmitted to the cluster server using a network cable or other wired connection method. The temperature data collected by the temperature sensor can also be transmitted to the cluster server using a wireless network (Wi-Fi), Bluetooth or other wireless transmission technology. The data collected by the temperature sensor can also be uploaded to a cloud platform, and then the temperature data is transmitted to the cluster server through the cloud platform. The temperature sensor can also be installed in a sensor node network and the temperature data is transmitted to the cluster server through the network, but the transmission method of the temperature sensor transmitting the temperature data to the cluster server is not limited to this.

[0035] By connecting the temperature sensor to the meter cluster and using the temperature sensor to collect the temperature data of the meter cluster, the meter temperature can be monitored so that meter failures can be discovered in time through abnormal conditions such as meter overheating, so that timely measures can be taken to avoid potential safety hazards.

[0036] In another optional embodiment, the initial state data may be electric meter current data. In the case where the initial state data is electric meter current data, the electric meter detection device may be a current sensor.

[0037] Multiple meters are connected through network sensors to form a meter cluster, and the meter detection device is connected to at least one meter cluster. Current sensors can be installed on the current loop of the meters in the meter cluster to collect current data. The current sensors sense the magnitude of the current passing through and convert the current data into electrical signals, which are then transmitted to the cluster server, which further processes and analyzes the electrical signals.

[0038] By using current sensors to collect current data from a meter cluster, it is possible to detect in real time whether the meters in the meter cluster have current anomalies, load imbalance, or short circuits, thereby promptly discovering and locating faults and ensuring the stability and safety of the meter cluster operation.

[0039] The cluster server 12 is connected to the electric meter detection device, and is used to generate target state data of at least one electric meter cluster according to initial state data of a plurality of electric meters.

[0040] The target state data in the above steps can be generated based on the initial state data of multiple meters in the meter cluster, and can be partial data with abnormal tendency selected from the initial state data of multiple meters, or data calculated by bringing the initial state data of multiple meters into a preset formula, or data obtained by inputting the initial state data of multiple meters into a preset algorithm, but the method of generating the target state data based on the initial state data of multiple meters is not limited to this. The target state data can be used to characterize the characteristics of the meter cluster, and can also be used to obtain the monitoring results of meter monitoring.

[0041] In an optional embodiment, the cluster server is connected to the meter detection device. After acquiring the initial state data sent by the meter detection device, the cluster server selects data that can describe the meter cluster state from the initial state data as the target state data. First, a screening condition can be determined. The screening condition can be to screen out meters with higher temperatures or to screen out meters with currents between a certain range, but is not limited thereto. Other screening conditions that meet actual application conditions can also be selected.

[0042] Then, you can select a data screening algorithm. You can select a quick sort algorithm. Based on the screening conditions, take the initial state data as input, and implement data screening by comparing and exchanging data. You can also select a dynamic programming method to screen the initial state data through recursive relations and optimal substructures. After data screening, the selected target state data can be one or more, and then the target state data is sent to the monitoring platform to obtain the monitoring results.

[0043] The purpose of selecting some target state data that can describe the state of the meter cluster from the initial state data is to reduce the time for the monitoring platform to process data and speed up the acquisition of monitoring results, thereby achieving the technical effect of timely discovering abnormalities in the meter cluster.

[0044] In another optional embodiment, the cluster server is connected to the electric meter detection device. After obtaining the initial state data sent by the electric meter detection device, a filter can be used to filter the initial state data to identify and remove abnormal values ​​with large errors to obtain smooth target state data.

[0045] Filtering the initial state data to obtain the target state data can improve data quality, reduce errors, and improve the accuracy and reliability of monitoring results.

[0046] The monitoring platform 14 is connected to the cluster server and is used to monitor at least one electricity meter cluster according to the target status data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in at least one electricity meter cluster.

[0047] The monitoring results in the above steps can be obtained by analyzing the target status data, which can analyze the operating status of the meter cluster and reflect whether there are abnormal meters in the meter cluster, helping meter monitoring personnel to detect meter failures in time for maintenance and troubleshooting to ensure the normal operation of the meter.

[0048] In an optional embodiment, the monitoring platform is connected to the cluster server and can receive the target state data sent by the cluster server regularly or in real time. After receiving the target state data sent by the cluster server, the target state data can be processed.

[0049] The normal data range can be determined according to the data type of the target state data, wherein the data type includes but is not limited to temperature data, current data, voltage data, etc. Then, the target state data can be compared with the normal data range, and the monitoring result can be obtained according to whether the target state data is outside the normal data range. When the target state data is outside the normal data range, it is determined that the detection result is that the target electric meter cluster exists in the electric meter cluster.

[0050] In another optional embodiment, the monitoring platform is connected to the cluster server, and after receiving the target state data sent by the cluster server, the target state data can be processed.

[0051] An indicator value can be determined based on experience or relevant data, and then the difference between the target state data and the indicator data is calculated, and the monitoring result is obtained according to whether the difference between the target state data and the indicator data is within a preset range. The preset range can be set according to the specific application situation, and the preset range is not limited here.

[0052] In an embodiment of the present invention, an electric meter detection device is used, connected to at least one electric meter cluster, the electric meter cluster includes multiple electric meters connected to the network, and the electric meter detection device is used to detect the initial state data of the multiple electric meters; a cluster server is connected to the electric meter detection device, and is used to generate the target state data of at least one electric meter cluster according to the initial state data of the multiple electric meters; a monitoring platform is connected to the cluster server, and is used to monitor at least one electric meter cluster according to the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electric meter cluster in at least one electric meter cluster, and the target electric meter cluster is a system in which there are abnormal electric meters in at least one electric meter cluster, so as to realize the monitoring of the electric meters. The initial state data of the multiple electric meters are converted into the target state data of the electric meter cluster by the cluster server, and the electric meter cluster is detected by the monitoring platform according to the target state data of the electric meter cluster, so as to obtain the monitoring result of the electric meter cluster, thereby achieving the technical effect of monitoring a large-scale electric meter cluster, and thus solving the technical problem of low efficiency in monitoring the electric meters.

[0053] Optionally, the system further includes: an alarm module connected to the monitoring platform, for outputting prompt information when the monitoring result shows that a target meter cluster exists in at least one meter cluster, wherein the prompt information is used to prompt that an abnormal meter exists in the target meter cluster.

[0054] The prompt information in the above steps is generated by the alarm module when the monitoring result shows that there is a target meter cluster in at least one meter cluster, and is used to prompt that there are abnormal meters in the target meter cluster. The prompt information can be in the form of text in a pop-up window on the computer interface, in the form of an email, in the form of a text message, in the form of a sound, or in the form of a vibration, but the form of the prompt information is not limited to this.

[0055] In an optional embodiment, the alarm module is connected to the monitoring platform. When the monitoring result shows that the target electric meter cluster exists in the electric meter cluster, the monitoring platform may send the target electric meter cluster to the alarm module in the form of an electrical signal.

[0056] After receiving the target electricity meter cluster, the alarm module generates prompt information based on the target electricity meter cluster, outputs the prompt information to the display screen, and displays text information on the display screen to inform the user that there is a target electricity meter cluster with abnormal electricity meters.

[0057] In another optional embodiment, the alarm module is connected to the monitoring platform, and the monitoring platform sends the monitoring results to the alarm module. The alarm module parses the monitoring results, and generates prompt information based on the target meter cluster when the detection result is that the target meter cluster exists in the meter cluster. When the detection result is that the target meter cluster does not exist in the meter cluster, no prompt information is generated.

[0058] After the prompt information is generated, the prompt information can be pushed to relevant personnel in the form of a text message, informing the relevant personnel of the target meter cluster with abnormal meters, or in the form of an email, informing the relevant personnel of the target meter cluster with abnormal meters. However, the method of outputting the prompt information is not limited thereto.

[0059] Optionally, the system also includes: a client server, connected to the monitoring platform and at least one client, the at least one client corresponding one-to-one to at least one electricity meter cluster, and used to determine the target client corresponding to the target electricity meter cluster from at least one client when the monitoring result shows that there is a target electricity meter cluster in at least one electricity meter cluster, and send the monitoring result to the target client.

[0060] The client in the above steps corresponds to the meter cluster one-to-one, and the client is used to manage the corresponding meter cluster. A client can manage only one meter cluster or multiple meter clusters at the same time, and focus on the abnormal situation of one of the meter clusters. When the monitoring result shows that the target meter cluster exists in at least one meter cluster, the monitoring result of the meter cluster is received, but the explanation of the one-to-one correspondence between the client and the meter cluster is not limited to this. The client can monitor the operating status, power consumption data, fault information, etc. of the meter cluster in real time to ensure the normal operation of the meter cluster. Using the client to manage the meter cluster improves the management convenience and flexibility of the meter cluster.

[0061] The client server in the above steps is used to manage the clients connected to the meter cluster, and can implement client-oriented resource management, security management, data sharing, remote management and other functions, and can also send monitoring results to the client corresponding to the target meter cluster based on the target meter cluster.

[0062] The target client in the above steps is a client that manages the target electric meter cluster.

[0063] In an optional embodiment, the client server is connected to the monitoring platform and at least one client, and the client server obtains the monitoring results obtained from the monitoring platform in real time.

[0064] The client server can parse the monitoring results. When the monitoring result shows that there is a target meter cluster in the meter cluster, the target client corresponding to the target meter cluster is determined from at least one client based on the correspondence between the target meter cluster and the target meter cluster and the client, and a push notification technology, such as using network socket technology or through a push service provider, is used to send a notification of the monitoring results to the target client, informing the target client that there is a faulty meter in the meter cluster managed by the target client.

[0065] In another optional embodiment, the client server is connected to the monitoring platform and at least one client, and when the monitoring result obtained in the monitoring platform is that the target electric meter cluster exists in the electric meter cluster, the monitoring platform sends the monitoring result to the client server.

[0066] After the client server receives the detection results sent by the monitoring platform, it finds the client corresponding to the target meter cluster according to the target meter cluster in the detection results, and uses the client as the target client. The client server can then store the monitoring results as a file, and send the file containing the monitoring results to the target client through the file transfer protocol, informing the target client that there is a faulty meter in the meter cluster managed by the target client.

[0067] Optionally, the system further includes: a storage device connected to the cluster server and used to store the initial state data and the target state data; and a display device connected to the cluster server and used to display the initial state data and the target state data on a preset terminal.

[0068] The preset terminal in the above steps is a terminal that meets the application requirements and is preset according to the actual application scenario. It can be a computer, a smart phone, or an Internet of Things device, but the specific type of the preset terminal is not limited thereto.

[0069] The storage device in the above steps is used to store the initial state data and the target state data, and can be a solid state hard disk, a removable storage device, or a cloud storage space, but the specific form of the storage device is not limited thereto. The cluster server can obtain the initial state data from the storage device, and can also store the generated target state data in the storage device.

[0070] The display device in the above steps can display the initial state data and the target state data on a preset terminal. The display device can be a display, a projector, or a touch screen, but the specific form of the display device is not limited thereto. The display device can present data to the user in a visual form, so that the user can intuitively understand and process the information, providing a better user experience.

[0071] In an optional embodiment, the storage requirements may be determined first, including the amount of stored data, access frequency, data retention period, etc., and then a suitable storage device may be selected. The storage device may be a solid-state drive, a removable storage device, or a cloud storage space, but is not limited thereto.

[0072] Then, the storage device is connected to the cluster server. The connection between the storage device and the cluster server can be achieved by using a network protocol, or the storage device can be directly connected to the cluster server using a connection line. The initial state data collected by the meter detection device is stored in the storage device of the cluster server, and the database system, distributed file system, etc. can be used for storage management.

[0073] Then the cluster server sends a data extraction instruction to the storage device to obtain the initial state data from the cluster server. After the cluster server processes the initial state data and obtains the target state data, the target state data can be stored in the storage device in real time.

[0074] The display device is also connected to the cluster server and can display the initial state data and the target state data on the preset terminal. Corresponding software or applications can be written on the cluster server, and the initial state data and the target state data can be sent to the display device through the corresponding software or application for display by the preset terminal. The preset terminal can be a computer, a smart phone, or an IoT device, but is not limited thereto.

[0075] Example 2

[0076] According to an embodiment of the present invention, an embodiment of an electric meter monitoring method is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0077] It should be noted that the electric meter monitoring method can be applied to the electric meter monitoring system in the above-mentioned embodiment 1. The specific implementation and application scenario of the electric meter monitoring method are the same as those in embodiment 1 and will not be elaborated here.

[0078] Figure 2 is a flow chart of an electric meter monitoring method according to an embodiment of the present invention. Figure 2 As shown, the electric meter monitoring method includes:

[0079] Step S202: using an electric meter detection device in an electric meter monitoring system to obtain initial state data of a plurality of electric meters in at least one electric meter cluster, wherein the electric meter monitoring system is the above-mentioned electric meter monitoring system.

[0080] In an optional embodiment, the initial state data may be temperature data. When the initial state data is temperature data, the temperature data is acquired using an electric meter detection device in the electric meter monitoring system. The electric meter detection device may be a temperature sensor, an infrared thermal imager, or a thermistor, but is not limited thereto.

[0081] When the meter detection device is a temperature sensor, a temperature sensor connected to the meters in the meter cluster can be installed. The sensor type suitable for the environment can be selected according to the environment, such as a thermometer, infrared sensor, etc. Then the temperature sensor is connected to the data acquisition device to ensure that the sensor can work normally and transmit the temperature data to the data acquisition device. After that, the data acquisition device is configured to set the parameters and frequency of collecting temperature data. Then the data acquisition device starts to collect temperature data of the meters in the meter cluster and sends the collected data to the cluster server.

[0082] Step S204: generating target state data of at least one electric meter cluster according to the initial state data of the plurality of electric meters.

[0083] In an optional embodiment, the initial state data may be temperature data. When the initial state data is temperature data, several data may be randomly selected from the initial state data of multiple electric meters as target state data. Alternatively, the initial state data of multiple electric meters may be sorted from high to low in temperature, and several data may be selected from high to low in temperature as target state data. The target state data may be one or more data, which may be determined according to the specific application.

[0084] In another optional embodiment, the initial state data may be current data. When the initial state data is current data, several data may be randomly selected from the initial state data of multiple electric meters as target state data. Alternatively, the initial state data of multiple electric meters may be sorted from small to large in temperature, and several data may be selected as target state data according to the rule of small to large. The target state data may be one or more, which may be determined according to the specific application.

[0085] Selecting some target state data that can describe the state of the meter cluster from the initial state data can reduce the data processing time when monitoring the meter cluster and speed up the acquisition of monitoring results.

[0086] Step S206, monitoring at least one electricity meter cluster according to the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

[0087] In an optional embodiment, the target state data may be temperature data. When the target state data is temperature data, the normal temperature range of the electric meter is preset. The normal temperature range of the electric meter may be set according to actual conditions or industry experience, and the normal temperature range of the electric meter is not limited herein. For example, the normal temperature range of the electric meter is set to be below 40 degrees Celsius, but this value is only an example, and other values ​​may be selected to describe the normal temperature range of the electric meter.

[0088] Then, it is determined whether the target status data is within the normal temperature range of the electric meter. When the target status data are all within the normal temperature range of the electric meter, the monitoring result can be determined that there is no problem with the electric meter cluster. Alternatively, when there are more target status data within the normal temperature range of the electric meter and fewer target status data outside the normal temperature range of the electric meter, the monitoring result can be determined that there is no problem with the electric meter cluster, but the present invention is not limited to this.

[0089] Selecting a small amount of representative target status data from a larger amount of data for monitoring and obtaining monitoring results can reduce the amount of data that needs to be processed, save time and resources, and thus improve the efficiency of obtaining monitoring results.

[0090] Optionally, generating target state data of at least one electricity meter cluster based on initial state data of multiple electricity meters includes: obtaining the type to be monitored of at least one electricity meter cluster; sorting the initial state data based on the type to be monitored to obtain a sorting result; and determining the target state data from the initial state data based on the sorting result.

[0091] The above-mentioned type to be monitored is the type of initial state data collected by the meter detection device in the meter monitoring system, which can be temperature, humidity, current value, or voltage value, but is not limited thereto.

[0092] The above-mentioned sorting result is obtained by sorting the initial state data according to the sorting rule. Different types to be monitored correspond to different sorting rules, and the sorting rule is determined by the type to be monitored.

[0093] In an optional embodiment, the type of monitoring to be performed for at least one electric meter cluster may be predetermined, that is, the type of indicator used to determine whether an abnormality occurs in at least one electric meter cluster. Exemplarily, temperature may be selected as the type to be monitored, and the initial state data may be sorted according to a sorting rule from high to low temperature to obtain a sorting result. The initial state data with the highest ranking may be determined as the target state data. However, the types to be monitored and the sorting rules that may be selected are not limited thereto.

[0094] Since the meter should maintain a stable temperature when working normally, if the temperature of the meter rises abnormally, it may indicate that there is a fault inside the meter, such as a circuit short circuit or overload. Therefore, when temperature is used as the type to be monitored, the initial state data is sorted based on the high and low temperatures of the meter, and the initial state data is arranged in order from high to low.

[0095] The data with the highest ranking in the sorting result can be selected as the target state data, the first three data can be selected as the target state data, or the first five data can be selected as the target state data, but not limited thereto. In this case, the target state data is the data with a stronger abnormal tendency in the initial state data.

[0096] Optionally, the initial state data is sorted based on the type to be monitored to obtain a sorting result, including: determining a preset sorting rule corresponding to the type to be monitored based on a preset corresponding relationship, wherein the preset corresponding relationship is used to represent the correspondence between multiple types to be monitored and multiple preset sorting rules; and sorting the initial state data of multiple electricity meters based on the preset sorting rule to obtain a sorting result.

[0097] The preset correspondence in the above steps can represent the correspondence between multiple types to be monitored and multiple preset sorting rules. When the type to be monitored is known, the preset sorting rule corresponding to the type to be monitored can be found according to the preset correspondence. The preset correspondence can be preset according to the actual application situation, and the specific content of the preset correspondence is not limited here.

[0098] The preset sorting rules in the above steps are pre-set rules that can be used to sort the initial state data. There is a corresponding relationship between the preset sorting rules and the types to be monitored, and the corresponding relationship between the preset sorting rules and the types to be monitored is described by the preset corresponding relationship.

[0099] In an optional embodiment, a preset sorting rule is set according to one or more types to be monitored. Exemplarily, the preset sorting rule can be to sort the initial state data in order of temperature from high to low, or to sort the initial state data in order of current value from small to large, but the preset sorting rule is not limited to this.

[0100] After determining the type to be monitored and the preset sorting rule, a preset corresponding relationship is set to describe the mapping relationship between the type to be monitored and the preset sorting rule. For example, the type to be monitored may be temperature, current, etc. The temperature is corresponded to the preset sorting rule of sorting the initial state data in order from high to low temperature, and the current is corresponded to the preset sorting rule of sorting the initial state data in order from small to large current value.

[0101] When the initial state data is sorted based on the type to be monitored, the type to be monitored is determined, and the type to be monitored can be determined according to an existing electric meter detection device. A preset sorting rule corresponding to the type to be monitored is searched in the preset corresponding relationship, and then the initial state data of multiple electric meters are sorted according to the preset sorting rule to obtain a sorting result.

[0102] Optionally, at least one electricity meter cluster is monitored according to the target status data to obtain a monitoring result, including: obtaining a preset data range corresponding to the type to be monitored; if the target status data is within the preset data range, determining that the monitoring result is that the target electricity meter cluster does not exist in at least one electricity meter cluster; if the target status data is not within the preset data range, determining that the monitoring result is that the target electricity meter cluster exists in at least one electricity meter cluster.

[0103] The preset data range in the above steps is a pre-set data range in which the meter cluster corresponding to the type to be monitored can work normally. Exemplarily, the preset data range can be set to 20 degrees Celsius to 40 degrees Celsius, which means that when the type to be monitored is temperature, if the temperature of the meter cluster is between 20 degrees Celsius and 40 degrees Celsius, it means that the meter cluster is working normally. It should be noted that the above values ​​are only examples, and the values ​​that can be taken by the preset data range are not limited to this.

[0104] In an optional embodiment, the preset data range corresponding to each monitoring type can be preset according to the monitoring type, combined with industry experience or professional data. Then the target state data is compared with the preset data range. If the target state data is within the preset data range, it means that the meter cluster is normal, that is, it is determined that the monitoring result is that the target meter cluster does not exist in at least one meter cluster. If the target state data is not within the preset data range, it means that the meter cluster is abnormal, that is, it is determined that the monitoring result is that the target meter cluster exists in at least one meter cluster.

[0105] A preferred embodiment is described below. Figure 3 is a schematic diagram of an optional layout of an electric meter monitoring system according to an embodiment of the present invention, such as Figure 3 As shown in the figure, multiple temperature sensors are connected to multiple electric meters. The temperature sensors are responsible for collecting the temperature data of the electric meters. The acquisition board collects the data of each temperature sensor and summarizes it. Then, the summarized data is transmitted to the monitoring server through the network communication board. Among them, the temperature sensor and the acquisition board are equivalent to the electric meter detection device mentioned above, and the monitoring server is equivalent to the cluster server and monitoring platform mentioned above. The monitoring server regularly receives and analyzes the temperature data of the electric meter to realize remote monitoring of the electric meter cluster. The temperature alarm threshold is set. When the monitoring server detects that the temperature of the electric meter is abnormal, the alarm module automatically sends an alarm signal. In addition, the monitoring server can automatically process the alarm information and transmit the information to the user end through the network so that the operation and maintenance personnel can obtain the alarm information in time, and record the temperature data, provide data analysis functions, and support subsequent operation and maintenance decisions.

[0106] Example 3

[0107] According to an embodiment of the present invention, an embodiment of an electric meter monitoring device is provided, which can execute the electric meter monitoring method provided in the above embodiment 2. The specific implementation method and preferred application scenario are the same as those of the above embodiment 2 and will not be repeated here.

[0108] Figure 4 is a schematic diagram of an electric meter monitoring device according to an embodiment of the present invention. Figure 4 As shown, the device comprises:

[0109] The acquisition module 40 is used to acquire initial state data of multiple electric meters in at least one electric meter cluster using an electric meter detection device in an electric meter monitoring system, wherein the electric meter monitoring system is the above-mentioned electric meter monitoring system.

[0110] The generating module 42 is configured to generate target state data of at least one electric meter cluster according to initial state data of a plurality of electric meters.

[0111] The detection module 44 is used to monitor at least one electricity meter cluster according to the target state data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

[0112] Optionally, the generation module 42 includes: an acquisition unit, used to acquire the type to be monitored of at least one meter cluster; a sorting unit, used to sort the initial state data based on the type to be monitored to obtain a sorting result; and a determination unit, used to determine the target state data from the initial state data based on the sorting result.

[0113] Optionally, the sorting unit is also used to determine a preset sorting rule corresponding to the type to be monitored based on a preset corresponding relationship, wherein the preset corresponding relationship is used to represent the correspondence between multiple types to be monitored and multiple preset sorting rules; and sort the initial state data of multiple electricity meters based on the preset sorting rules to obtain a sorting result.

[0114] Optionally, the sorting unit is also used to obtain a preset data range corresponding to the type to be monitored; if the target status data is within the preset data range, the monitoring result is determined to be that the target meter cluster does not exist in at least one meter cluster; if the target status data is not within the preset data range, the monitoring result is determined to be that the target meter cluster exists in at least one meter cluster.

[0115] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0116] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0117] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0119] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0121] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. An electric meter monitoring system, characterized in that: include: An electric meter detection device, connected to at least one electric meter cluster, wherein the electric meter cluster includes a plurality of networked electric meters, and the electric meter detection device is used to detect initial state data of the plurality of electric meters; a cluster server connected to the electric meter detection device, and configured to generate target state data of the at least one electric meter cluster according to the initial state data of the plurality of electric meters; A monitoring platform is connected to the cluster server and is used to monitor the at least one electricity meter cluster according to the target status data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

2. The system according to claim 1, characterized in that The system further comprises: An alarm module is connected to the monitoring platform and is used to output prompt information when the monitoring result shows that the target meter cluster exists in the at least one meter cluster, wherein the prompt information is used to prompt that the abnormal meter exists in the target meter cluster.

3. The system according to claim 1, characterized in that The system further comprises: A client server is connected to the monitoring platform and at least one client, and the at least one client corresponds one-to-one to the at least one electricity meter cluster. It is used to determine the target client corresponding to the target electricity meter cluster from at least one client when the monitoring result is that the target electricity meter cluster exists in the at least one electricity meter cluster, and send the monitoring result to the target client.

4. The system according to claim 1, characterized in that The system further comprises: A storage device, connected to the cluster server, and used to store the initial state data and the target state data; A display device is connected to the cluster server and is used to display the initial state data and the target state data on a preset terminal.

5. A method for monitoring an electric meter, characterized in that: include: Acquiring initial state data of multiple electric meters in at least one electric meter cluster using an electric meter detection device in an electric meter monitoring system, wherein the electric meter monitoring system is the electric meter monitoring system according to any one of claims 1 to 4; generating target state data of the at least one electricity meter cluster according to the initial state data of the plurality of electricity meters; The at least one electricity meter cluster is monitored according to the target status data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

6. The method according to claim 5, characterized in that Generating target state data of the at least one electricity meter cluster according to the initial state data of the plurality of electricity meters includes: Obtaining a type to be monitored of the at least one electric meter cluster; Sorting the initial state data based on the type to be monitored to obtain a sorting result; The target state data is determined from the initial state data based on the sorting result.

7. The method according to claim 6, characterized in that The initial state data is sorted based on the type to be monitored to obtain a sorting result, including: Determine a preset sorting rule corresponding to the type to be monitored based on a preset corresponding relationship, wherein the preset corresponding relationship is used to represent a corresponding relationship between multiple types to be monitored and multiple preset sorting rules; The initial state data of the plurality of electricity meters are sorted based on the preset sorting rule to obtain the sorting result.

8. The method according to claim 6, characterized in that The at least one electric meter cluster is monitored according to the target state data to obtain a monitoring result, including: Obtaining a preset data range corresponding to the type to be monitored; If the target status data is within the preset data range, determining that the monitoring result is that the target electric meter cluster does not exist in the at least one electric meter cluster; If the target status data is not within the preset data range, it is determined that the monitoring result is that the target electric meter cluster exists in the at least one electric meter cluster.

9. An electric meter monitoring device, characterized in that: include: an acquisition module, used to acquire initial state data of multiple electric meters in at least one electric meter cluster using an electric meter detection device in an electric meter monitoring system, wherein the electric meter monitoring system is the electric meter monitoring system according to any one of claims 1 to 4; A generating module, configured to generate target state data of the at least one electric meter cluster according to the initial state data of the plurality of electric meters; A monitoring module is used to monitor the at least one electricity meter cluster according to the target status data to obtain a monitoring result, wherein the monitoring result is used to indicate whether there is a target electricity meter cluster in the at least one electricity meter cluster, and the target electricity meter cluster is a cluster in which abnormal electricity meters exist in the at least one electricity meter cluster.

10. An electronic device, characterized in that: include: A memory storing an executable program; A processor, configured to run the program, wherein the program executes the method according to any one of claims 5 to 8 when running.

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