Online monitoring and evaluation method and system for running state of intelligent electric meter

Abstract

The invention provides an intelligent electric meter operation state on-line monitoring evaluation method and system, and the method comprises the steps: obtaining the current time, determining that the time meets a preset monitoring period condition, generating a recording request signal, and requesting operation state recording data based on the recording request signal; obtaining a historical operation state monitoring evaluation result, and obtaining a newly added operation state data set based on the historical operation state monitoring evaluation result and the operation state record data; carrying out key information extraction processing based on the newly added running state data set to obtain a running state key information field; generating a running state evaluation field under a preset running state evaluation strategy based on the running state key information field; performing packaging processing based on the operation state key information field and the operation state evaluation field to obtain an operation state communication frame; and taking the running state key information field and the running state evaluation field as a running state monitoring evaluation result. According to the technical scheme provided by the invention, resource overhead can be reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of smart meters, in particular to a smart meter operation state online monitoring and evaluation method and system. BACKGROUND

[0002] At present, smart meters have been popularized and applied nationwide, which record multiple types of abnormal or fault conditions as event records, operation state words, etc., and combine with the metering master station to guide the abnormal or fault processing and other operation and maintenance work of the smart meter.

[0003] The existing smart meter directly packages multiple types of operation states such as abnormal or fault conditions into response messages containing multiple types of event records or multiple state words and sends them to the metering master station for processing. However, since one communication frame of the existing smart meter communication protocol only supports reading one type of event record or one state word, when the metering master station needs to read multiple types of event records or multiple state words of the smart meter, the smart meter needs to convert the response message into multiple communication frames and send them to the metering master station, which greatly reduces the reading efficiency, greatly occupies the limited communication, storage and computing resources, and reduces the timeliness of the smart meter feedback. SUMMARY

[0004] The present application aims to provide a smart meter operation state online monitoring and evaluation method and system to solve the above technical problems and reduce resource consumption.

[0005] In order to solve the above technical problems, the present application provides a smart meter operation state online monitoring and evaluation method, comprising the following steps:

[0006] Obtain the current time, determine whether the time meets the preset monitoring period condition, generate a record request signal, and request operation state record data based on the record request signal;

[0007] Obtain the historical operation state monitoring and evaluation result, and obtain the new operation state data set based on the historical operation state monitoring and evaluation result and the operation state record data;

[0008] Based on the new operation state data set, perform key information extraction processing to obtain the operation state key information field;

[0009] Based on the operation state key information field, generate the operation state evaluation field under the preset operation state evaluation strategy;

[0010] Based on the operation state key information field and the operation state evaluation field, perform encapsulation processing to obtain the operation state communication frame;

[0011] The operation state key information field and the operation state evaluation field are taken as the operation state monitoring and evaluation result.

[0012] The operation state key information field obtained by the above scheme occupies less resource than the newly added operation state data before extraction processing, and reduces the overhead of data storage resources. The operation state evaluation field generated under the preset state evaluation strategy can represent all abnormal or fault conditions through a small amount of resources. The operation state communication data obtained based on the operation state key information field and the operation state evaluation field occupying a small amount of resources overcomes the problem of occupying more resources caused by generating multiple communication data based on multiple faults and abnormalities in the prior art. Only one operation state communication data occupying a small amount of resource can represent all abnormal or fault conditions of the intelligent electric meter in the current monitoring period, reducing the resource overhead.

[0013] Further, the historical operation state monitoring evaluation result is obtained, and the newly added operation state data set is obtained based on the historical operation state monitoring evaluation result and the operation state record data, including: obtaining a historical operation state monitoring evaluation result, and extracting a previous operation state monitoring evaluation result closest to the time based on the historical operation state monitoring evaluation result; comparing and processing based on the previous operation state monitoring evaluation result and the operation state record data to obtain a newly added operation state data set.

[0014] The above scheme compares the previous operation state monitoring evaluation result closest to the time with the operation state record data to screen out the newly added operation state data, avoiding the problem of large resource occupation and low calculation efficiency caused by directly using all operation state data for analysis and processing in the prior art, and reducing the storage resource occupation.

[0015] Further, the key information extraction processing based on the newly added operation state data set is performed to obtain an operation state key information field, including: performing statistical analysis processing based on the newly added operation state data set to obtain an operation state key information set; and performing integration processing based on the operation state key information set to obtain an operation state key information field.

[0016] Further, the statistical analysis processing based on the newly added operation state data set is performed to obtain an operation state key information set, including: extracting the event occurrence cumulative number, the last occurrence time and the last event duration of each newly added operation state data in the newly added operation state data set; and integrating the event occurrence cumulative number, the last occurrence time and the last event duration of each newly added operation state data to obtain an operation state key information set.

[0017] The scheme converts the newly added running state data set into a running state key information set occupying less resources, and the obtained running state key information set contains important features that can represent the abnormal fault conditions of the newly added running state data set of the smart meter, can reduce the storage resource occupation, and reduce the features irrelevant to the judgment of the abnormal fault conditions of the smart meter, and thus the generated running state key information field can better represent the abnormal fault conditions of the smart meter, and the subsequently generated running state evaluation field can cover multiple abnormal fault conditions of the smart meter.

[0018] Further, the generating a running state evaluation field based on the running state key information field under a preset running state evaluation strategy comprises: constructing an initial running state evaluation field containing a state bitmap based on a preset evaluation result field length; obtaining an abnormal fault state set based on the running state key information field, and determining target bit positions of each abnormal fault state in the abnormal fault state set in the state bitmap; based on the abnormal fault state set, setting the target bit positions in the state bitmap to a preset state value under a preset abnormal fault state mapping rule to obtain a running state evaluation field.

[0019] The above scheme uses a state bitmap occupying less resources to represent all abnormal fault states of the smart meter, and each abnormal fault state only occupies one bit. Compared with the prior art method of converting multiple abnormal fault states into a response message, the resource space utilization of the present scheme is higher, and the running state evaluation field generated thereby occupies very little byte length, greatly reducing the communication resource overhead, and thus improving the reading efficiency and the timeliness of the abnormal fault feedback.

[0020] Further, the setting the target bit positions in the state bitmap to a preset state value under a preset abnormal fault state mapping rule based on the abnormal fault state set to obtain a running state evaluation field comprises: extracting an abnormal fault trigger state set in which the abnormal fault states are preset abnormal trigger states based on the abnormal fault state set; setting all bit positions in the state bitmap to a first preset value to obtain an initial state bitmap; setting target bit positions corresponding to the abnormal fault trigger state set in the initial state bitmap to a second preset value to obtain an identification state bitmap; and obtaining a running state evaluation field based on the identification state bitmap.

[0021] Further, the method further comprises: setting a target bit position corresponding to each abnormal fault trigger state in the initial state bitmap to a second preset value to obtain an identification state bitmap. The setting of the target bit position corresponding to each abnormal fault trigger state in the initial state bitmap to the second preset value comprises: determining a target bit position corresponding to the abnormal fault trigger state in the initial state bitmap; setting the target bit position in the initial state bitmap to the second preset value to obtain a temporary state bitmap; determining whether each abnormal fault trigger state in the abnormal fault trigger state set has performed the setting of the target bit position; and performing the setting of the target bit position based on the temporary state bitmap and a next abnormal fault trigger state in the abnormal fault trigger state set until each abnormal fault trigger state in the abnormal fault trigger state set has performed the setting of the target bit position, and taking the temporary state bitmap as the identification state bitmap.

[0022] Further, the method further comprises: performing integration and compression processing based on the running state key information field and the running state evaluation field to obtain to-be-encapsulated running state data; and performing encapsulation processing based on the to-be-encapsulated running state data to obtain the running state communication frame.

[0023] In the above scheme, the running state communication frame is obtained based on the running state key information field and the running state evaluation field, and the running state communication frame occupies less storage resources and communication resources, thereby improving the copy efficiency and reducing the resource overhead.

[0024] The application further provides an intelligent electric meter operation state online monitoring and evaluation system, comprising: a record request module, configured to acquire a current time, determine whether the time meets a preset monitoring period condition, generate a record request signal, and request operation state record data based on the record request signal; an added operation state data acquisition module, configured to acquire historical operation state monitoring and evaluation results, and obtain an added operation state data set based on the historical operation state monitoring and evaluation results and the operation state record data; an operation state key information field generation module, configured to perform key information extraction processing based on the added operation state data set obtained by the added operation state data acquisition module, and obtain an operation state key information field; an operation state evaluation field generation module, configured to generate an operation state evaluation field under a preset operation state evaluation strategy based on the operation state key information field obtained by the key information field module; an operation state communication frame generation module, configured to perform encapsulation processing based on the operation state key information field obtained by the key information field generation module and the operation state evaluation field obtained by the operation state evaluation field generation module, and obtain an operation state communication frame; and an operation state monitoring and evaluation result generation module, configured to take the operation state key information field obtained by the key information field generation module and the operation state evaluation field obtained by the operation state evaluation field generation module as an operation state monitoring and evaluation result.

[0025] Further, the operation state evaluation field generation module is configured to generate an operation state evaluation field under a preset operation state evaluation strategy based on the operation state key information field obtained by the key information field module, and comprises: constructing an initial operation state evaluation field containing a state bitmap based on a preset evaluation result field length; obtaining an abnormal fault state set based on the operation state key information field obtained by the key information field module, and determining target bit positions of each abnormal fault state in the state bitmap in the abnormal fault state set; and setting the target bit positions in the state bitmap to preset state values under a preset abnormal fault state mapping rule based on the abnormal fault state set, to obtain the operation state evaluation field. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 An intelligent electric meter operation state online monitoring and evaluation method technical implementation flowchart is provided for an embodiment of the application.

[0027] Figure 2 An intelligent electric meter operation state online monitoring and evaluation system architecture schematic diagram is provided for an embodiment of the application. DETAILED DESCRIPTION

[0028] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described, obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0029] Please refer to Figure 1 The embodiment provides an intelligent electric meter operation state online monitoring and evaluation method, comprising the following steps:

[0030] Step S1: acquiring a current time, determining that the time meets a preset monitoring period condition, generating a record request signal, and requesting operation state record data based on the record request signal;

[0031] Step S2: acquiring a historical operation state monitoring and evaluation result, and obtaining a new operation state data set based on the historical operation state monitoring and evaluation result and the operation state record data;

[0032] Step S3: performing key information extraction processing based on the new operation state data set to obtain an operation state key information field;

[0033] Step S4: generating an operation state evaluation field under a preset operation state evaluation strategy based on the operation state key information field;

[0034] Step S5: performing encapsulation processing based on the operation state key information field and the operation state evaluation field to obtain an operation state communication frame;

[0035] Step S6: taking the operation state key information field and the operation state evaluation field as an operation state monitoring and evaluation result.

[0036] The operation state key information field obtained by the embodiment reserves key information, and compared with the new operation state data before the extraction processing, occupies less resources and reduces the overhead of data storage resources; the operation state evaluation field generated under the preset state evaluation strategy can represent all abnormal or fault conditions through a small amount of resources; the operation state communication data is obtained based on the operation state key information field and the operation state evaluation field which occupy a small amount of resources, thereby overcoming the problem that the prior art needs to generate multiple communication data based on multiple types of faults and abnormalities, resulting in a large amount of occupied resources; only one operation state communication data which occupies a small amount of resources can represent all abnormal or fault conditions of the intelligent electric meter in the current monitoring period, thereby reducing the resource overhead.

[0037] It should be noted that the embodiment acquires the current time, determines that the time is 0 o'clock, generates a record request signal, and requests running state record data based on the record request signal; and the running state record data can be a state word and event record recorded by the metering unit of the previous day.

[0038] Further, the historical running state monitoring evaluation result is acquired, and the newly added running state data set is obtained based on the historical running state monitoring evaluation result and the running state record data, including: acquiring the historical running state monitoring evaluation result, and extracting the previous running state monitoring evaluation result closest to the time based on the historical running state monitoring evaluation result; and comparing and processing based on the previous running state monitoring evaluation result and the running state record data to obtain the newly added running state data set.

[0039] The embodiment compares the previous running state monitoring evaluation result closest to the time with the running state record data to screen out the newly added running state data, avoiding the problem of large resource occupation and low calculation efficiency caused by directly using all running state data for analysis and processing in the prior art, and reducing storage resource occupation.

[0040] Further, the key information extraction processing is performed based on the newly added running state data set to obtain the running state key information field, including: performing statistical analysis processing based on the newly added running state data set to obtain a running state key information set; and performing integration processing based on the running state key information set to obtain the running state key information field.

[0041] Further, the statistical analysis processing based on the newly added running state data set to obtain the running state key information set includes: extracting the event occurrence cumulative number, the last occurrence time and the last event duration of each newly added running state data in the newly added running state data set; and integrating the event occurrence cumulative number, the last occurrence time and the last event duration of each newly added running state data to obtain the running state key information set.

[0042] The embodiment performs statistical analysis processing on the newly added running state data set to obtain the running state key information set, which realizes the conversion of the newly added running state data set into the running state key information set occupying less resources, and the obtained running state key information set contains important features that can represent the abnormal fault conditions of the smart meter in the newly added running state data set, which can reduce storage resource occupation and reduce features irrelevant to the judgment of the abnormal fault conditions of the smart meter, and thus the generated running state key information field can better represent the abnormal fault conditions of the smart meter, and the subsequently generated running state evaluation field can cover multiple abnormal fault conditions of the smart meter.

[0043] It should be noted that each of the operation state key information in the operation state key information set obtained in the embodiment occupies 6 bytes, and the finally generated operation state key information field occupies no more than 180 bytes.

[0044] Further, the operation state evaluation field is generated based on the operation state key information field under a preset operation state evaluation strategy, including: based on a preset evaluation result field length, an initial operation state evaluation field containing a state bitmap is constructed; based on the operation state key information field, an abnormal fault state set is obtained, and target bit positions corresponding to each abnormal fault state in the abnormal fault state set in the state bitmap are determined; based on the abnormal fault state set, the target bit positions in the state bitmap are set to a preset state value under a preset abnormal fault state mapping rule to obtain the operation state evaluation field.

[0045] In the embodiment, the state bitmap occupying less resource is used to represent all abnormal fault states of the intelligent electric meter, and each abnormal fault state only occupies one bit position. Compared with the prior art method of converting multiple abnormal fault states into a response packet, the resource space utilization of the embodiment is higher, and the byte length occupied by the generated operation state evaluation field is very small, which greatly reduces the communication resource overhead, and further improves the reading efficiency and the timeliness of abnormal fault feedback.

[0046] Further, the operation state evaluation field is generated based on the operation state key information field under a preset operation state evaluation strategy, including: based on a preset evaluation result field length, an initial operation state evaluation field containing a state bitmap is constructed; based on the operation state key information field, an abnormal fault state set is obtained, and target bit positions corresponding to each abnormal fault state in the abnormal fault state set in the state bitmap are determined; based on the abnormal fault state set, the target bit positions in the state bitmap are set to a preset state value under a preset abnormal fault state mapping rule to obtain the operation state evaluation field.

[0047] Further, the method further includes: setting a target bit position corresponding to each abnormal fault triggering state in the initial state bitmap to a second preset value to obtain an identification state bitmap. The setting of the target bit position corresponding to each abnormal fault triggering state in the initial state bitmap to the second preset value includes: determining a target bit position corresponding to the abnormal fault triggering state in the initial state bitmap; setting the target bit position in the initial state bitmap to the second preset value to obtain a temporary state bitmap; determining whether each abnormal fault triggering state in the abnormal fault triggering state set has performed the setting of the target bit position in the initial state bitmap to the second preset value; and performing the setting of the target bit position in the initial state bitmap to the second preset value based on the temporary state bitmap and a next abnormal fault triggering state in the abnormal fault triggering state set until each abnormal fault triggering state in the abnormal fault triggering state set has performed the setting of the target bit position in the initial state bitmap to the second preset value, and then taking the temporary state bitmap as the identification state bitmap.

[0048] It should be noted that, in the embodiment, the first preset value is 0, the second preset value is 1, and the length of the state bitmap is 4 bytes.

[0049] It should be noted that the initial state bitmap bit0 is set to 1 when the abnormal fault trigger state is clock battery undervoltage, the initial state bitmap bit1 is set to 1 when the abnormal fault trigger state is clock abnormality, the initial state bitmap bit2 is set to 1 when the abnormal fault trigger state is power abnormality, the initial state bitmap bit3 is set to 1 when the abnormal fault trigger state is uplink communication module abnormality, the initial state bitmap bit4 is set to 1 when the abnormal fault trigger state is Bluetooth communication fault, the initial state bitmap bit5 is set to 1 when the abnormal fault trigger state is ESAM fault, the initial state bitmap bit6 is set to 1 when the abnormal fault trigger state is A-phase overcurrent, the initial state bitmap bit7 is set to 1 when the abnormal fault trigger state is B-phase overcurrent, the initial state bitmap bit8 is set to 1 when the abnormal fault trigger state is C-phase overcurrent, the initial state bitmap bit9 is set to 1 when the abnormal fault trigger state is table temperature overrun, the initial state bitmap bit10 is set to 1 when the abnormal fault trigger state is power failure, the initial state bitmap bit11 is set to 1 when the abnormal fault trigger state is power failure meter battery undervoltage, the initial state bitmap bit16 is set to 1 when the abnormal fault trigger state is metering chip fault, the initial state bitmap bit17 is set to 1 when the abnormal fault trigger state is memory fault, the initial state bitmap bit18 is set to 1 when the abnormal fault trigger state is load switch misoperation, the initial state bitmap bit19 is set to 1 when the abnormal fault trigger state is meter code flying, the initial state bitmap bit20 is set to 1 when the abnormal fault trigger state is meter cover opening, the initial state bitmap bit21 is set to 1 when the abnormal fault trigger state is zero line current abnormality, the initial state bitmap bit22 is set to 1 when the abnormal fault trigger state is meter code stop, the initial state bitmap bit23 is set to 1 when the abnormal fault trigger state is meter code reverse, the initial state bitmap bit24 is set to 1 when the abnormal fault trigger state is suspected electricity stealing, the initial state bitmap bit25 is set to 1 when the abnormal fault trigger state is clock fault, and the initial state bitmap bit26 is set to 1 when the abnormal fault trigger state is base meter suspected reset.And the identification status bitmap obtained in the embodiment retains bit 12-bit 15 and bit 27-bit 31, which facilitates the smart meter to add new abnormal fault types in the future.

[0050] Further, the encapsulation processing based on the operation state key information field and the operation state evaluation field to obtain the operation state communication frame comprises: integrating and compressing processing based on the operation state key information field and the operation state evaluation field to obtain the to-be-encapsulated operation state data; and encapsulation processing based on the to-be-encapsulated operation state data to obtain the operation state communication frame.

[0051] In the embodiment, the operation state communication frame is obtained based on the operation state key information field and the operation state evaluation field which occupy less resources, and the operation state communication frame occupies less storage resources and communication resources, thereby improving the copy efficiency and reducing the resource overhead.

[0052] It should be noted that the operation state communication frame obtained in the embodiment comprises a frame start symbol, an address domain, a frame start symbol, a control code, a data domain length, data identification, a data domain, a check code and an end symbol. The to-be-encapsulated operation state data obtained in the embodiment is used to construct the data domain part in the operation state communication frame. The existing electric energy meter communication frame data domain length is limited within 200 bytes, while the to-be-encapsulated operation state data occupies no more than 200 bytes, so that all abnormal fault states of the smart meter can be copied by using only one communication frame, thereby improving the copy efficiency and reducing the resource overhead.

[0053] Please refer to Figure 2The embodiment also provides an intelligent electric meter operation state online monitoring and evaluation system, comprising: a record request module, configured to acquire a current time, determine whether the time meets a preset monitoring period condition, generate a record request signal, and request operation state record data based on the record request signal; an added operation state data acquisition module, configured to acquire historical operation state monitoring and evaluation results, and obtain an added operation state data set based on the historical operation state monitoring and evaluation results and the operation state record data; an operation state key information field generation module, configured to perform key information extraction processing based on the added operation state data set obtained by the added operation state data acquisition module, and obtain operation state key information fields; an operation state evaluation field generation module, configured to generate operation state evaluation fields under a preset operation state evaluation strategy based on the operation state key information fields obtained by the key information field module; an operation state communication frame generation module, configured to perform encapsulation processing based on the operation state key information fields obtained by the key information field generation module and the operation state evaluation fields obtained by the operation state evaluation field generation module, and obtain an operation state communication frame; and an operation state monitoring and evaluation result generation module, configured to take the operation state key information fields obtained by the key information field generation module and the operation state evaluation fields obtained by the operation state evaluation field generation module as operation state monitoring and evaluation results.

[0054] Further, the operation state evaluation field generation module is configured to generate operation state evaluation fields under a preset operation state evaluation strategy based on the operation state key information fields obtained by the key information field module, and comprises: constructing an initial operation state evaluation field containing a state bitmap based on a preset evaluation result field length; obtaining an abnormal fault state set based on the operation state key information fields obtained by the key information field module, and determining target bit positions of each abnormal fault state in the state bitmap in the abnormal fault state set; and setting the target bit positions in the state bitmap to preset state values under a preset abnormal fault state mapping rule based on the abnormal fault state set, to obtain the operation state evaluation fields.

[0055] The above embodiment can greatly reduce the communication, calculation and storage resource overhead, reduce the overall resource overhead during the intelligent electric meter operation state online monitoring and evaluation, and further improve the reading efficiency and the timeliness of abnormal fault feedback.

[0056] The above is the preferred embodiment of the present application. It should be noted that, for those skilled in the art, without departing from the principles of the present application, a number of improvements and refinements can be made, which are also considered within the scope of protection of the present application.

Claims

1. A method for online monitoring and evaluation of the operating status of a smart meter, characterized in that, Includes the following steps: Obtain the current time, determine if the time meets the preset monitoring cycle conditions, generate a record request signal, and request running status record data based on the record request signal; Obtain historical operational status monitoring and evaluation results, and obtain a new operational status dataset based on the historical operational status monitoring and evaluation results and the operational status record data; Based on the newly added running status dataset, key information is extracted and processed to obtain the running status key information field; Based on the aforementioned key information fields of the operating status, an operating status evaluation field is generated under a preset operating status evaluation strategy; The operation status communication frame is obtained by encapsulating the key information field of the operation status and the evaluation field of the operation status. The key information field of the operating status and the evaluation field of the operating status are used as the evaluation results of the operating status monitoring.

2. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 1, characterized in that, The step of obtaining historical operational status monitoring and evaluation results, and obtaining a new operational status dataset based on the historical operational status monitoring and evaluation results and the operational status record data, includes: Obtain historical operational status monitoring and evaluation results, and extract the previous operational status monitoring and evaluation result closest to the time based on the historical operational status monitoring and evaluation results; Based on the comparison and processing of the previous operation status monitoring and evaluation results and the operation status record data, a new operation status dataset is obtained.

3. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 1, characterized in that, The key information extraction process based on the newly added running status dataset yields key running status information fields, including: Statistical analysis and processing are performed on the newly added operational status dataset to obtain a set of key operational status information. Based on the integrated processing of the aforementioned key information set of operating status, the key information field of operating status is obtained.

4. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 3, characterized in that, The statistical analysis and processing based on the newly added operational status dataset yields a set of key operational status information, including: Extract the cumulative number of events, the last occurrence time, and the duration of the last event for each newly added running status data in the newly added running status dataset; The cumulative number of events, the last occurrence time, and the last event duration of each newly added operational status data are integrated to obtain a set of key operational status information.

5. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 1, characterized in that, The step of generating operation status evaluation fields based on the key operation status information fields under a preset operation status evaluation strategy includes: Based on the preset evaluation result field length, an initial running status evaluation field containing a status bitmap is constructed; Based on the aforementioned key information field of the operating status, an abnormal fault status set is obtained, and the target bit corresponding to each abnormal fault status in the abnormal fault status set is determined in the status bitmap. Based on the abnormal fault state set, the target bit in the state bitmap is set to a preset state value under the preset abnormal fault state mapping rule to obtain the operation status evaluation field.

6. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 5, characterized in that, Based on the abnormal fault state set, the target bit in the state bitmap is set to a preset state value under a preset abnormal fault state mapping rule to obtain the operation state evaluation field, including: Based on the set of abnormal fault states, an abnormal fault trigger state set is extracted as a preset abnormal trigger state. Set all bits in the state bitmap to the first preset value to obtain the initial state bitmap; Set the target bit position corresponding to the abnormal fault triggering state set in the initial state bitmap to the second preset value to obtain the identification state bitmap; Based on the identified status bitmap, the running status evaluation field is obtained.

7. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 6, characterized in that, The step of setting the target bit position corresponding to the abnormal fault triggering state set in the initial state bitmap to a second preset value to obtain the identification state bitmap includes: Based on the initial state bitmap, a state bitmap setting step is performed on each abnormal fault triggering state in the abnormal fault triggering state set to obtain an identifier state bitmap. The state bitmap setting step includes: Determine the target bit in the initial state bitmap corresponding to the current abnormal fault trigger state. The target bit position in the initial state bitmap is set to the second preset value to obtain the temporary state bitmap; If it is determined that the state bitmap setting step has not been executed for each abnormal fault triggering state in the abnormal fault triggering state set, then the state bitmap setting step is executed based on the temporary state bitmap and the next abnormal fault triggering state in the abnormal fault triggering state set until it is determined that the state bitmap setting step has been executed for each abnormal fault triggering state in the abnormal fault triggering state set. Then the temporary state bitmap is used as the identifier state bitmap.

8. The method for online monitoring and evaluation of the operating status of a smart meter according to claim 1, characterized in that, The encapsulation process based on the key information field of the operating status and the evaluation field of the operating status yields an operating status communication frame, including: Based on the key information field of the running status and the evaluation field of the running status, the running status data to be packaged is obtained by integrating and compressing the data. The running status data to be encapsulated is encapsulated to obtain a running status communication frame.

9. An online monitoring and evaluation system for the operating status of smart meters, characterized in that, A method for implementing an online monitoring and evaluation method for the operating status of a smart meter as described in any one of claims 1 to 8, comprising: The recording request module is used to obtain the current time, determine that the time meets the preset monitoring cycle conditions, generate a recording request signal, and request running status recording data based on the recording request signal; A new operation status data acquisition module is added to acquire historical operation status monitoring and evaluation results, and to obtain a new operation status dataset based on the historical operation status monitoring and evaluation results and the operation status record data. The running status key information field generation module is used to extract key information based on the newly added running status dataset obtained by the newly added running status data acquisition module to obtain the running status key information field. The operation status evaluation field generation module is used to generate operation status evaluation fields based on the operation status key information fields obtained by the key information field module under a preset operation status evaluation strategy. The running status communication frame generation module is used to encapsulate the running status key information field obtained by the key information field generation module and the running status evaluation field obtained by the running status evaluation field generation module to obtain the running status communication frame. The operation status monitoring and evaluation result generation module is used to take the operation status key information fields obtained by the key information field generation module and the operation status evaluation fields obtained by the operation status evaluation field generation module as the operation status monitoring and evaluation results.

10. The online monitoring and evaluation system for the operating status of a smart meter according to claim 9, characterized in that, The operation status evaluation field generation module is used to generate operation status evaluation fields based on the operation status key information fields obtained by the key information field module, under a preset operation status evaluation strategy, including: Based on the preset evaluation result field length, an initial running status evaluation field containing a status bitmap is constructed; Based on the key information field of the running status obtained by the key information field module, an abnormal fault status set is obtained, and the target bit corresponding to each abnormal fault status in the abnormal fault status set is determined in the status bit map. Based on the abnormal fault state set, the target bit in the state bitmap is set to a preset state value under the preset abnormal fault state mapping rule to obtain the operation status evaluation field.

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