Intelligent control method and system of electric energy meter

Abstract

The invention discloses an intelligent control method and system for an electric energy meter, and relates to the technical field of power systems. The problem that an existing electric energy meter is low in use efficiency is mainly solved. The method mainly comprises the steps of configuring control permissions and detection nodes of different electric energy meters, wherein the control permissions comprise transmission permissions of the electric energy meters; when the operation data of the electric energy meter is matched with the detection node, a node extreme value matched with the detection node and the control authority is called, a control object is determined based on a comparison result between the operation data and the node extreme value, and the control object comprises a parameter object and an instruction object; a control strategy matched with the control object and the control authority is called, a control instruction is sent to the electric energy meter based on the control strategy, and the control instruction carries control operation content obtained through analysis based on the control strategy. The method is mainly used for intelligently controlling the electric energy meter to improve the use efficiency of the electric energy meter.

Description

Technical Field

[0001] The present invention relates to the technical field of electric power systems, and in particular to an intelligent control method and system for an electric energy meter. Background Art

[0002] With the rapid development of power electronics technology, electric energy meters are used as terminal power data acquisition instruments to collect power consumption data from power terminals or transmission nodes, so that the power management platform can accurately analyze the power transmission conditions of power terminals and transmission nodes.

[0003] At present, when existing electric energy meters collect power data, they are usually in normal configuration, that is, the electric energy meter collects power data in real time and feeds the power data back to the power management platform through the wireless transmission module. However, the normal configuration makes the electric energy meter always in use, especially when no power data is generated, it still needs to collect data, which greatly reduces the life of the electric energy meter and cannot meet the flexible use requirements of the electric energy meter, thereby reducing the use efficiency of the electric energy meter. Summary of the invention

[0004] In view of this, the present invention provides an intelligent control method and system for an electric energy meter, the main purpose of which is to solve the problem of low efficiency of existing electric energy meters.

[0005] According to one aspect of the present invention, there is provided an intelligent control method for an electric energy meter, comprising:

[0006] Configure control permissions and detection nodes for different electric energy meters, wherein the control permissions include transmission permissions for the electric energy meters;

[0007] When the operation data of the electric energy meter matches the detection node, a node extreme value matching the detection node and the control authority is retrieved, and a control object is determined based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object;

[0008] A control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, wherein the control instruction carries control operation content obtained by parsing based on the control strategy.

[0009] Furthermore, the configuration of control permissions and detection nodes of different electric energy meters includes:

[0010] Obtain location information, model information and associated inspection terminal identification of different electric energy meters;

[0011] Querying the control authority matching the location information, the model information and the associated inspection terminal identifier based on a preset demand control mapping relationship, wherein the preset demand control mapping relationship includes control authorities pre-configured for different location information, model information and associated inspection terminal identifiers;

[0012] A detection coefficient is determined based on the model information and the collection object of the electric energy meter, and the detection node is configured for the electric energy meter according to the detection coefficient.

[0013] Furthermore, the method further comprises:

[0014] Collecting the operation data of the electric energy meter, and analyzing the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information in the operation data;

[0015] Determine whether the time data, the data collection volume, the equipment operation time, the operation and maintenance information, and the historical control information trigger a detection node.

[0016] Further, the determining the control object based on the comparison result between the operating data and the node extreme value includes:

[0017] When the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the node alarm information is output, and the control object corresponding to the detection node is entered through the power management platform; or,

[0018] When the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the control object is queried from the control list based on the ratio between the difference value and the difference extreme value, and the control list stores control objects corresponding to different detection nodes and different ratios.

[0019] Furthermore, sending a control instruction to the electric energy meter based on the control strategy includes:

[0020] According to the control object and the control authority, the time for transmitting the collected power data and the time for storing the collected power data in the control strategy are analyzed;

[0021] Determine an instruction sending time that matches the time of transmitting the collected power data and the time of storing the collected power data, and generate the control instruction at the instruction sending time;

[0022] The control instruction carrying the time of transmitting the collected power data and the time of storing the collected power data is sent to the power meter.

[0023] Furthermore, the method further comprises:

[0024] Collecting the transmission time and collection time of the electric energy meter through the power management platform, and determining the execution result of the control instruction based on the transmission time and the collection time;

[0025] If the execution result does not match the control execution degree of the power management platform, a control abnormality alarm message is generated, and the control execution degree is used to characterize the effectiveness of the power management platform in controlling the electric energy meter.

[0026] Furthermore, the detection node includes at least one of a time detection node, a data collection detection node, a device detection node, and a platform management detection node.

[0027] According to another aspect of the present invention, there is provided an intelligent control system for an electric energy meter, comprising:

[0028] A configuration module, used to configure control permissions and detection nodes of different electric energy meters, wherein the control permissions include transmission permissions of the electric energy meters;

[0029] a determination module, configured to retrieve a node extreme value matching the detection node and the control authority when the operation data of the electric energy meter matches the detection node, and determine a control object based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object;

[0030] The sending module is used to retrieve a control strategy that matches the control object and the control authority, and send a control instruction to the electric energy meter based on the control strategy, wherein the control instruction carries a control operation content obtained by parsing the control strategy.

[0031] Furthermore, the configuration module includes:

[0032] An acquisition unit, used to acquire location information, model information and associated inspection terminal identification of different electric energy meters;

[0033] A first query unit, configured to query the control authority matching the location information, the model information, and the associated inspection terminal identifier based on a preset demand control mapping relationship, wherein the preset demand control mapping relationship includes control authorities pre-configured for different location information, model information, and associated inspection terminal identifiers;

[0034] The first determination unit is used to determine the detection coefficient based on the model information and the collection object of the electric energy meter, and configure the detection node for the electric energy meter according to the detection coefficient.

[0035] Furthermore, the system further comprises:

[0036] A parsing module, used to collect the operation data of the electric energy meter, and parse the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information in the operation data;

[0037] The judgment module is used to judge whether the time data, the data collection amount, the equipment operation time, the operation and maintenance information and the historical control information trigger the detection node.

[0038] Furthermore, the determination module includes:

[0039] An output unit, configured to output node alarm information when the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, and enter the control object corresponding to the detection node through the power management platform; or

[0040] The second query unit is used to query the control object from the control list based on the ratio between the difference value and the difference extreme value when the difference value between the operating data and the node extreme value is greater than the difference extreme value of the detection node. The control list stores control objects corresponding to different detection nodes and different ratios.

[0041] Furthermore, the sending module includes:

[0042] A parsing unit, configured to parse the time for transmitting and storing the collected power data in the control strategy according to the control object and the control authority;

[0043] A second determining unit is used to determine an instruction sending time that matches the time of transmitting the collected power data and the time of storing the collected power data, and to generate the control instruction at the instruction sending time;

[0044] The sending unit is used to send the control instruction carrying the time of transmitting the collected power data and the time of storing the collected power data to the electric energy meter.

[0045] Furthermore, the system further comprises:

[0046] The determination module is further used to collect the transmission time and collection time of the electric energy meter through the power management platform, and determine the execution result of the control instruction based on the transmission time and the collection time;

[0047] A generation module is used to generate control abnormality alarm information if the execution result does not match the control execution degree of the power management platform, and the control execution degree is used to characterize the effectiveness of the power management platform in controlling the electric energy meter.

[0048] Furthermore, in a specific application scenario, the detection node includes at least one of a time detection node, a data collection detection node, a device detection node, and a platform management detection node.

[0049] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute operations corresponding to the intelligent control method of the electric energy meter as described above.

[0050] According to another aspect of the present invention, there is provided a terminal, comprising: a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus;

[0051] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the intelligent control method of the electric energy meter.

[0052] By means of the above technical solution, the technical solution provided by the embodiment of the present invention has at least the following advantages:

[0053] The present invention provides an intelligent control method and system for electric energy meters. Compared with the prior art, the embodiments of the present invention configure control authority and detection nodes of different electric energy meters, and the control authority includes the transmission authority of the electric energy meter; when the operation data of the electric energy meter matches the detection node, the node extreme value matching the detection node and the control authority is retrieved, and the control object is determined based on the comparison result between the operation data and the node extreme value, and the control object includes a parameter object and an instruction object; the control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, and the control instruction carries the control operation content obtained by parsing the control strategy. Real-time power data transmission between the electric energy meter and the power management platform is avoided, and the data transmission resource consumption of the electric energy meter is reduced. At the same time, the detection node is used as the trigger node for the transmission control of the electric energy meter, ensuring that the abnormality of the electric energy meter can be detected in time and accurately in the case of intermittent data transmission, thereby improving the use efficiency of the electric energy meter.

[0054] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0056] Figure 1 A flow chart of an intelligent control method of an electric energy meter provided by an embodiment of the present invention is shown;

[0057] Figure 2 A flow chart of another intelligent control method of an electric energy meter provided by an embodiment of the present invention is shown;

[0058] Figure 3 A block diagram of an intelligent control system for an electric energy meter provided by an embodiment of the present invention is shown;

[0059] Figure 4 A schematic diagram of the structure of a terminal provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0060] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0061] The embodiment of the present invention provides an intelligent control method of an electric energy meter, such as Figure 1 As shown, the method includes:

[0062] 101. Configure the control authority and detection nodes of different electricity meters.

[0063] In an embodiment of the present invention, the electric energy meter is a smart electric meter, which transmits data with the power management platform through a wired or wireless network, and the timing of the start and end of this data transmission process is controlled by the power management platform. The current execution subject is the server of the power management platform, which can be a local server or a cloud server. In order to realize the intelligent control of the electric energy meter, different electric energy meters are configured with corresponding control permissions and detection nodes. Among them, the control permission includes the transmission permission of the electric energy meter, that is, the electric energy meter is always in operation and continuously collects the user's power data, but the data transmission process of the collected power data to the power management platform is carried out under the control of the current execution subject. The detection node is a detection point triggered by a specific value of a certain data in the operation data of the electric energy meter. For example, when the operation time of the electric energy meter reaches 2 hours, the detection node is triggered, and the operation data of the electric energy meter needs to be detected at this time.

[0064] It should be noted that the control authority and detection node configuration of different electric energy meters can be determined based on the device model of the electric energy meter, the type of electricity user enterprise corresponding to the electric energy meter, the location information of the electric energy meter, and at least one of the inspection terminal identification corresponding to the electric energy meter. In addition, the control authority and detection nodes corresponding to different electric energy meters can be completely the same, partially the same, or completely different. The configuration strategy and specific content of the control authority and detection nodes of different electric energy meters can be customized according to the needs of the application scenario, and the embodiments of the present invention do not make specific limitations.

[0065] It should be noted that when the power data collection object of the electric energy meter is a single power user, that is, the power data collection object is an independent power-consuming equipment, such as large-scale power-consuming equipment, assembly lines, etc., when the power-consuming equipment stops running, the collected data of the electric energy meter is zero, the control authority can also include the start and stop control authority of the electric energy meter.

[0066] 102. When the operation data of the electric energy meter matches the detection node, retrieve the node extreme value that matches the detection node and the control authority, and determine the control object based on the comparison result between the operation data and the node extreme value.

[0067] In an embodiment of the present invention, when the operating data of the electric energy meter matches the detection node, the node extreme values ​​of the detection node and the control authority are retrieved. Among them, the node extreme values ​​are used to compare the operating data to determine whether the operating state of the electric energy meter represented by the current operating data needs to be controlled, and how to control the value, including the maximum value and the minimum value. Specifically, the node extreme values ​​can be retrieved based on the pre-built mapping relationship between different detection nodes and control authorities and the corresponding node extreme values. The control object is a means of controlling the data transmission process of the electric energy meter, including parameter objects and instruction objects. That is, based on the comparison result between the operating data and the node extreme values, it is determined whether to control the relevant parameters of the data transmission process or the relevant instructions of the data transmission process.

[0068] It should be noted that the node extreme value is the extreme value of the specified data item that matches the detection node and the control authority. When the operating data of the electric energy meter matches different detection nodes, the power data that needs to be paid attention to is also different. For example, the control authority is the transmission authority, the detection node is the power consumption node, and the corresponding node extreme value can be the current extreme value, the voltage extreme value and the power extreme value. At the same time, the different comparison results between the operating data and the node extreme value also represent the different operating states of the electric energy meter, and the objects that need to be controlled accordingly are also different. Determining the control object through the comparison results of the node extreme value and the operating data can cover a more comprehensive operating state of the electric energy meter, and determine the control object in a targeted manner, thereby ensuring the accuracy of the control means of the electric energy meter.

[0069] 103. Retrieve a control strategy that matches the control object and the control authority, and send a control instruction to the electric energy meter based on the control strategy.

[0070] In an embodiment of the present invention, the control instruction carries the control operation content obtained based on the analysis of the control strategy. Under the transmission authority, different control objects correspond to different control strategies. After the control object is determined, the control strategy corresponding to the current control object is matched from the data list of the corresponding relationship between the control object and the control authority and the control strategy. After the control strategy is determined, the control strategy is analyzed to obtain the control operation content. The control operation content is packaged and sent to the electric energy meter so that the electric energy meter executes according to the control operation content to realize the control of the electric energy meter.

[0071] It should be noted that controlling the electric energy meter based on a control strategy that matches the control authority and the control object avoids real-time data transmission between the electric energy meter and the power management platform, reduces resource consumption in the data transmission process, and at the same time ensures the comprehensiveness and accuracy of the monitoring of the electric energy meter's operating data, thereby greatly improving the accuracy of the electric energy meter's monitoring.

[0072] In an embodiment of the present invention, for further explanation and limitation, as Figure 2 As shown, the configuration of control permissions and detection nodes of different electric energy meters in step 101 includes:

[0073] 201. Obtain location information, model information, and associated inspection terminal identification of different electric energy meters.

[0074] 202. Query the control authority matching the location information, the model information, and the associated inspection terminal identifier based on a preset demand control mapping relationship.

[0075] 203. Determine a detection coefficient based on the model information and a collection object of the electric energy meter, and configure the detection node for the electric energy meter according to the detection coefficient.

[0076] In an embodiment of the present invention, the control authority is configured according to the location information, model information and associated inspection terminal of the electric energy meter. Among them, the control authority is obtained by matching the preset demand control mapping relationship, and the preset demand control mapping relationship includes the control authority pre-configured by different location information, model information and associated inspection terminal identifiers. That is, electric energy meters of different models, in different locations, and associated with different inspection terminals each correspond to different control authorities. Among them, the control authority includes the transmission authority to control multiple parameters involved in the power data transmission process. For example, the authority to control the transmission duration, the authority to control the transmission data type, and the authority to control the transmission start frequency. Among them, the location information is the installation location of the electric energy meter, such as the No. 2 equipment cabinet of the a plant of Enterprise A, and the electric meter box on the 13th floor of Building 13, Unit 2, and Building 13 of a community. The model information is the equipment model of the electric energy meter, which is used to characterize the performance of the electric energy meter, the specifications of the electric data collection, and the items of the electric data collection. The associated inspection terminal identifier is the unique identification identifier of the portable terminal device equipped by the inspection personnel who has the inspection authority of the current electricity meter. The identifier is also used to represent the authority level of the inspection personnel corresponding to the associated inspection terminal. For example, the inspection terminal identifiers of ordinary inspection employees are 1001~1020, and the inspection terminal identifier of the inspection supervisor is 1000.

[0077] It should be noted that by pre-constructing the correspondence between different location information, model information and associated inspection terminal identification and control authority, the size of the control authority can be matched with the electricity consumption characteristics of the users served by the electricity meter, the performance and data collection capabilities of the electricity meter, and the inspection authority, thereby avoiding control operations that exceed the performance of the electricity meter or exceed the inspection authority, and avoiding the generation of control authority that does not meet the user's electricity consumption characteristics, thereby ensuring the adaptability of the control authority to the electricity meter.

[0078] In the present invention application, a correspondence between different detection coefficients and different detection nodes is pre-constructed. Among them, the detection coefficient is determined based on the model information of the electric energy meter and the collection object. Specifically, the model information of the electric energy meter is numerically represented. The larger the specification range of the electric energy meter represented by the model information, the stronger the storage capacity, and the smaller the corresponding numerical representation value. For example, the numerical representation of the 1G memory electric energy meter is greater than the numerical representation of the 2G memory electric energy meter. The higher the importance of the equipment of the collection object, the larger the corresponding numerical representation. For example, if the importance of the collection object for residential users is lower than the importance of the collection object for factory equipment, the numerical representation of residential users is smaller than the numerical representation of factory equipment. The product of the numerical representation of the model information and the numerical representation of the collection object is used as the detection coefficient. The larger the detection coefficient, the higher the attention required for detection, and the smaller the detection coefficient, the lower the attention required for detection. The detection node is configured according to the detection coefficient. The larger the detection coefficient, the smaller the time span of each node in the corresponding detection node, the smaller the data volume, the lower the fault tolerance, and the higher the frequency of the corresponding trigger detection node for detection. For example, the larger the detection coefficient, the shorter the duration of the detection node corresponding to the equipment operation time, the smaller the value of the detection node corresponding to the data collection amount, and the smaller the number of triggering times of the detection node corresponding to the operation and maintenance times.

[0079] It should be noted that by determining the detection node based on the model information of the electric energy meter and the collection object, the trigger frequency of the detection node can be adjusted according to the storage capacity of the electric energy meter and the importance of the collection object, so as to achieve the matching of the detection trigger with the electric energy meter and the electric energy meter data collection environment, improve the precise matching of the detection accuracy, and thus ensure the timeliness and intelligence of the electric energy meter detection.

[0080] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0081] Collecting the operation data of the electric energy meter, and analyzing the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information in the operation data;

[0082] Determine whether the time data, the data collection volume, the equipment operation time, the operation and maintenance information, and the historical control information trigger a detection node.

[0083] In the embodiment of the present invention, in order to determine whether the detection node is currently satisfied, the operation data of the electric energy meter is parsed, and the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information are extracted. The time data is the time point of data collection. The data collection amount is the amount of data collected by the electric energy meter within the preset time. The equipment operation time is the cumulative operation time of the electric energy meter from the last start to the current time point. The operation and maintenance information is the inspection and maintenance information of the electric energy meter, which may specifically include the maintenance content, maintenance time point, inspection time point, inspection status and other information entered through the inspection terminal. The historical control information includes the execution time of the start control, stop control, data transmission start control and data transmission stop control of the electric energy meter in the historical time period. The detection node includes trigger thresholds corresponding to the data collection amount, the equipment operation time, the operation and maintenance information and the historical control information. For example, the trigger threshold corresponding to the equipment operation time is 10 hours. If the equipment operation time meets 10 hours, the detection node is triggered. For another example, the trigger threshold of the historical control information is abnormal control 3 times. If the data transmission start control is executed 3 times in succession without executing the data transmission stop control in the historical control information, the detection node is triggered.

[0084] It should be noted that through the identification of detection nodes, the operation data of the electric energy meter can be comprehensively monitored from multiple dimensions such as time dimension, control abnormality dimension, operation and maintenance dimension, etc., to improve the data monitoring accuracy of the electric energy meter and the timeliness of detecting abnormalities, thereby ensuring the timeliness of subsequent electric energy meter control.

[0085] In one embodiment of the present invention, for further explanation and limitation, the step of determining the control object based on the comparison result between the operating data and the node extreme value includes:

[0086] When the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the node alarm information is output, and the control object corresponding to the detection node is entered through the power management platform; or,

[0087] When the difference value between the operating data and the node extreme value is greater than the difference extreme value of the detection node, a control object is queried from the control list based on a ratio between the difference value and the difference extreme value.

[0088] In an embodiment of the present invention, the detection node is also configured with a difference extreme value. When the difference value between the operating data and the node extreme value is greater than the difference extreme value, it indicates that the current operating data is abnormal, and the electric energy meter needs to be controlled and adjusted, that is, the control object needs to be determined. Among them, the difference value is the difference between the node extreme value of the data item corresponding to the detection node and the value of the corresponding operating data. The determination of the control object can be achieved by manual entry and automatic query. Manual entry is to output the node alarm information through the interactive interface of the power management platform when it is determined that control adjustment is required, so that the management personnel can determine the control object according to the node alarm information, and specify the control object by entering the power management platform. Automatic query is to match the control object by querying the control list. Among them, the control list stores the control objects corresponding to different detection nodes and different proportions. When the difference value between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the multiple relationship between the difference value and the difference extreme value, that is, the proportion, is calculated. A group whose proportion and detection node both match the current proportion and detection node is identified from the control list, and the corresponding control object is used as the query result.

[0089] It should be noted that the two methods of determining the control object can be configured according to specific application requirements. Determining the control object through manual entry and automatic query can meet the needs of both automatic control and scenarios requiring manual intervention, thereby increasing the flexibility of the control object selection.

[0090] In one embodiment of the present invention, for further explanation and limitation, the step of sending a control instruction to the electric energy meter based on the control strategy includes:

[0091] According to the control object and the control authority, the time for transmitting the collected power data and the time for storing the collected power data in the control strategy are analyzed;

[0092] Determine an instruction sending time that matches the time of transmitting the collected power data and the time of storing the collected power data, and generate the control instruction at the instruction sending time;

[0093] The control instruction carrying the time of transmitting the collected power data and the time of storing the collected power data is sent to the power meter.

[0094] In an embodiment of the present invention, the control instruction is not issued immediately after the control object is determined, but is executed at the instruction sending time determined by the time of transmitting and collecting power data and the time of storing the collected power data. Among them, the control strategy includes the time of transmitting and collecting power data and the time of storing the collected power data corresponding to different control objects under different control authorities. It is necessary to determine the corresponding time of transmitting and collecting power data and the time of storing the collected power data according to the control authority and the control object according to the control strategy. Then, according to the correspondence between the preset time of transmitting and collecting power data and the time of storing the collected power data and the instruction sending time, the instruction sending time is matched to generate and send the control instruction according to the instruction sending time. The control instruction carries the time of transmitting and collecting power data and the time of storing the collected power data, which is used to instruct the electric energy meter to send the collected power data to the power management platform according to the time of transmitting and collecting power data, and to collect and store the collected power data according to the time of storing the collected power data.

[0095] It should be noted that by configuring different times for transmitting and storing collected power data for control objects under different control authorities through control strategies, it is possible to achieve diversion of different transmission data volumes, avoid excessive and insufficient data volumes in data transmission between the power meter and the power management platform, and ensure resource consumption utilization and data transmission efficiency.

[0096] In an embodiment of the present invention, for further explanation and limitation, the method further includes:

[0097] Collecting the transmission time and collection time of the electric energy meter through the power management platform, and determining the execution result of the control instruction based on the transmission time and the collection time;

[0098] If the execution result does not match the control execution degree of the power management platform, a control abnormality alarm message is generated.

[0099] In an embodiment of the present invention, after the control instruction is issued, it is necessary to monitor the execution of the control instruction regularly to determine the execution result of the power management platform controlling the electric energy meter. The execution result can be determined based on the comparison result of the actual data transmission time (transmission time) of the electric energy meter and the time of transmission and collection of electric energy data carried in the control instruction, and the actual data collection time (collection time) and the time of storage and collection of electric energy data carried in the control instruction. For example, the transmission time and collection time of the electric energy meter within one month are collected. The time deviation value of the transmission and collection of electric energy data corresponding to the control instruction and the time deviation value of the storage and collection of electric energy data corresponding to the control instruction are calculated, and the sum of the ratios of the two deviation values ​​to the total control duration is determined as the execution result. Among them, the deviation value is the sum of the deviation value of the starting time point, the deviation value of the end time point and the control duration deviation value. If the execution result is less than the control execution degree, a control abnormality alarm message is generated to remind the power management platform to troubleshoot the control of the corresponding electric energy meter. Among them, the control execution degree is used to characterize the effectiveness of the power management platform controlling the electric energy meter, and can be determined based on the statistical data of the historical execution results.

[0100] It should be noted that through the control execution monitoring of the power management platform, abnormal execution of control instructions by the electric energy meter can be discovered in time, thereby ensuring the effective execution of the intelligent control of the electric energy meter.

[0101] In an embodiment of the present invention, for further explanation and limitation, the detection node includes at least one of a time detection node, a data collection detection node, a device detection node, and a platform management detection node.

[0102] In an embodiment of the present invention, a time detection node is a detection trigger node corresponding to time data in the operation data. A data collection detection node is a detection trigger node corresponding to the amount of data collection in the operation data. An equipment detection node is a detection trigger node corresponding to the equipment operation time in the operation data. A platform management detection node is a detection trigger node corresponding to operation and maintenance information and historical control information in the operation data. The detection node may include one, more or all of the above detection nodes, which may be customized according to the needs of the actual application scenario, and the embodiment of the present invention does not make specific limitations. For example, when the electric energy meter is a key monitored factory power meter, the detection node may include all of the above detection nodes; when the electric energy meter is a general residential power meter, the detection node may include one of the equipment detection node or the time detection node. Through the configuration of the detection node, the control requirements of the electric energy meter in different application scenarios can be met, thereby improving the multi-scenario applicability of the electric energy meter control.

[0103] The present invention provides an intelligent control method for an electric energy meter. Compared with the prior art, the embodiment of the present invention configures control authority and detection nodes of different electric energy meters, and the control authority includes the transmission authority of the electric energy meter; when the operation data of the electric energy meter matches the detection node, the node extreme value matching the detection node and the control authority is retrieved, and the control object is determined based on the comparison result between the operation data and the node extreme value, and the control object includes a parameter object and an instruction object; the control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, and the control instruction carries the control operation content obtained by parsing the control strategy. Real-time power data transmission between the electric energy meter and the power management platform is avoided, and the data transmission resource consumption of the electric energy meter is reduced. At the same time, the detection node is used as the trigger node for the transmission control of the electric energy meter, ensuring that the abnormality of the electric energy meter can be detected in time and accurately in the case of intermittent data transmission, thereby improving the use efficiency of the electric energy meter.

[0104] Furthermore, as a response to the above Figure 1 The embodiment of the present invention provides an intelligent control system for an electric energy meter, such as Figure 3 As shown, the system includes:

[0105] Configuration module 31, used to configure control authority and detection nodes of different electric energy meters, wherein the control authority includes transmission authority of the electric energy meter;

[0106] A determination module 32, configured to retrieve a node extreme value matching the detection node and the control authority when the operation data of the electric energy meter matches the detection node, and determine a control object based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object;

[0107] The sending module 33 is used to retrieve a control strategy that matches the control object and the control authority, and send a control instruction to the electric energy meter based on the control strategy, wherein the control instruction carries control operation content obtained by parsing the control strategy.

[0108] Furthermore, the configuration module 31 includes:

[0109] An acquisition unit, used to acquire location information, model information and associated inspection terminal identification of different electric energy meters;

[0110] A first query unit, configured to query the control authority matching the location information, the model information, and the associated inspection terminal identifier based on a preset demand control mapping relationship, wherein the preset demand control mapping relationship includes control authorities pre-configured for different location information, model information, and associated inspection terminal identifiers;

[0111] The first determination unit is used to determine the detection coefficient based on the model information and the collection object of the electric energy meter, and configure the detection node for the electric energy meter according to the detection coefficient.

[0112] Furthermore, the system further comprises:

[0113] A parsing module, used to collect the operation data of the electric energy meter, and parse the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information in the operation data;

[0114] The judgment module is used to judge whether the time data, the data collection amount, the equipment operation time, the operation and maintenance information and the historical control information trigger the detection node.

[0115] Furthermore, the determination module includes:

[0116] An output unit, configured to output node alarm information when the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, and enter the control object corresponding to the detection node through the power management platform; or

[0117] The second query unit is used to query the control object from the control list based on the ratio between the difference value and the difference extreme value when the difference value between the operating data and the node extreme value is greater than the difference extreme value of the detection node. The control list stores control objects corresponding to different detection nodes and different ratios.

[0118] Furthermore, the sending module 33 includes:

[0119] A parsing unit, configured to parse the time for transmitting and storing the collected power data in the control strategy according to the control object and the control authority;

[0120] A second determining unit is used to determine an instruction sending time that matches the time of transmitting the collected power data and the time of storing the collected power data, and to generate the control instruction at the instruction sending time;

[0121] The sending unit is used to send the control instruction carrying the time of transmitting the collected power data and the time of storing the collected power data to the electric energy meter.

[0122] Furthermore, the system further comprises:

[0123] The determination module 32 is further used to collect the transmission time and collection time of the electric energy meter through the power management platform, and determine the execution result of the control instruction based on the transmission time and the collection time;

[0124] A generation module is used to generate control abnormality alarm information if the execution result does not match the control execution degree of the power management platform, and the control execution degree is used to characterize the effectiveness of the power management platform in controlling the electric energy meter.

[0125] Furthermore, in a specific application scenario, the detection node includes at least one of a time detection node, a data collection detection node, a device detection node, and a platform management detection node.

[0126] The present invention provides an intelligent control system for electric energy meters. Compared with the prior art, the embodiments of the present invention configure control authority and detection nodes of different electric energy meters, and the control authority includes the transmission authority of the electric energy meter; when the operation data of the electric energy meter matches the detection node, the node extreme value matching the detection node and the control authority is retrieved, and the control object is determined based on the comparison result between the operation data and the node extreme value, and the control object includes a parameter object and an instruction object; the control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, and the control instruction carries the control operation content obtained by parsing the control strategy. Real-time power data transmission between the electric energy meter and the power management platform is avoided, and the data transmission resource consumption of the electric energy meter is reduced. At the same time, the detection node is used as the trigger node for the transmission control of the electric energy meter, ensuring that the abnormality of the electric energy meter can be detected in time and accurately in the case of intermittent data transmission, thereby improving the use efficiency of the electric energy meter.

[0127] According to one embodiment of the present invention, a storage medium is provided, wherein the storage medium stores at least one executable instruction, and the computer executable instruction can execute the intelligent control method of the electric energy meter in any of the above method embodiments.

[0128] Figure 4 A schematic diagram of the structure of a terminal provided according to an embodiment of the present invention is shown. The specific embodiment of the present invention does not limit the specific implementation of the terminal.

[0129] like Figure 4 As shown, the terminal may include: a processor (processor) 402 , a communication interface (Communications Interface) 404 , a memory (memory) 406 , and a communication bus 408 .

[0130] The processor 402 , the communication interface 404 , and the memory 406 communicate with each other via a communication bus 408 .

[0131] The communication interface 404 is used for network communication with other devices such as a client or other servers.

[0132] The processor 402 is used to execute the program 410, and specifically can execute the relevant steps in the embodiment of the intelligent control method of the electric energy meter.

[0133] Specifically, the program 410 may include program codes, which include computer operation instructions.

[0134] The processor 402 may be a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiment of the present invention. The one or more processors included in the terminal may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0135] The memory 406 is used to store the program 410. The memory 406 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0136] The program 410 may be specifically configured to enable the processor 402 to perform the following operations:

[0137] Configure control permissions and detection nodes for different electric energy meters, wherein the control permissions include transmission permissions for the electric energy meters;

[0138] When the operation data of the electric energy meter matches the detection node, a node extreme value matching the detection node and the control authority is retrieved, and a control object is determined based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object;

[0139] A control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, wherein the control instruction carries control operation content obtained by parsing based on the control strategy.

[0140] Obviously, those skilled in the art should understand that the above modules or steps of the present invention can be implemented by a general computing system, they can be concentrated on a single computing system, or distributed on a network composed of multiple computing systems, and optionally, they can be implemented by a program code executable by a computing system, so that they can be stored in a storage system and executed by the computing system, and in some cases, the steps shown or described can be executed in a different order than here, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.

[0141] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An intelligent control method for an electric energy meter, characterized in that: include: Configure control permissions and detection nodes for different electric energy meters, wherein the control permissions include transmission permissions for the electric energy meters; When the operation data of the electric energy meter matches the detection node, a node extreme value matching the detection node and the control authority is retrieved, and a control object is determined based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object; A control strategy matching the control object and the control authority is retrieved, and a control instruction is sent to the electric energy meter based on the control strategy, wherein the control instruction carries control operation content obtained by parsing based on the control strategy.

2. The method according to claim 1, characterized in that: The configuration of control permissions and detection nodes of different electric energy meters includes: Obtain location information, model information and associated inspection terminal identification of different electric energy meters; Querying the control authority matching the location information, the model information and the associated inspection terminal identifier based on a preset demand control mapping relationship, wherein the preset demand control mapping relationship includes control authorities pre-configured for different location information, model information and associated inspection terminal identifiers; A detection coefficient is determined based on the model information and the collection object of the electric energy meter, and the detection node is configured for the electric energy meter according to the detection coefficient.

3. The method according to claim 2, characterized in that The method further comprises: Collecting the operation data of the electric energy meter, and analyzing the time data, data collection amount, equipment operation time, operation and maintenance information and historical control information in the operation data; Determine whether the time data, the data collection volume, the equipment operation time, the operation and maintenance information, and the historical control information trigger a detection node.

4. The method according to claim 3, characterized in that The determining of the control object based on the comparison result between the operation data and the node extreme value comprises: When the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the node alarm information is output, and the control object corresponding to the detection node is entered through the power management platform; or, When the difference between the operating data and the node extreme value is greater than the difference extreme value of the detection node, the control object is queried from the control list based on the ratio between the difference value and the difference extreme value, and the control list stores control objects corresponding to different detection nodes and different ratios.

5. The method according to claim 4, characterized in that The sending of a control instruction to the electric energy meter based on the control strategy comprises: According to the control object and the control authority, the time for transmitting the collected power data and the time for storing the collected power data in the control strategy are analyzed; Determine an instruction sending time that matches the time of transmitting the collected power data and the time of storing the collected power data, and generate the control instruction at the instruction sending time; The control instruction carrying the time of transmitting the collected power data and the time of storing the collected power data is sent to the power meter.

6. The method according to claim 1, characterized in that The method further comprises: Collecting the transmission time and collection time of the electric energy meter through the power management platform, and determining the execution result of the control instruction based on the transmission time and the collection time; If the execution result does not match the control execution degree of the power management platform, a control abnormality alarm message is generated, and the control execution degree is used to characterize the effectiveness of the power management platform in controlling the electric energy meter.

7. The method according to claim 1, characterized in that The detection node includes at least one of a time detection node, a data collection detection node, a device detection node, and a platform management detection node.

8. An intelligent control system for an electric energy meter, characterized in that: include: A configuration module, used to configure control permissions and detection nodes of different electric energy meters, wherein the control permissions include transmission permissions of the electric energy meters; a determination module, configured to retrieve a node extreme value matching the detection node and the control authority when the operation data of the electric energy meter matches the detection node, and determine a control object based on a comparison result between the operation data and the node extreme value, wherein the control object includes a parameter object and an instruction object; The sending module is used to retrieve a control strategy that matches the control object and the control authority, and send a control instruction to the electric energy meter based on the control strategy, wherein the control instruction carries a control operation content obtained by parsing the control strategy.

9. A storage medium, wherein at least one executable instruction is stored in the storage medium, and the executable instruction enables a processor to execute an operation corresponding to the intelligent control method of an electric energy meter as described in any one of claims 1 to 7.

10. A terminal, comprising: A processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to execute operations corresponding to the intelligent control method of the electric energy meter according to any one of claims 1-7.

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