CN111210034A - Abnormal information processing method of intelligent electric meter, computer equipment and storage medium - Google Patents
Abnormal information processing method of intelligent electric meter, computer equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an abnormal information processing method of an intelligent electric meter, computer equipment and a storage medium, wherein the abnormal information processing method of the intelligent electric meter comprises the following steps: issuing a query message for querying the state of the electric meter to the intelligent electric meter; receiving current characteristic information fed back by the intelligent ammeter according to the query message; detecting the abnormal state of the intelligent ammeter according to the current characteristic information; and generating an abnormal ammeter record aiming at the abnormal state of the intelligent ammeter, and repairing the abnormal state of the intelligent ammeter according to the abnormal ammeter record. The intelligent ammeter abnormal information processing method and device can improve the processing efficiency of the abnormal information of the intelligent ammeter, and particularly can improve the detection efficiency of the abnormal information and the corresponding abnormal repairing efficiency.
Description
Technical Field
The invention relates to the technical field of equipment monitoring, in particular to an abnormal information processing method of an intelligent electric meter, computer equipment and a storage medium.
Background
At present, an intelligent electric meter platform lacks a standard process for discovering and solving abnormal problems. When the user finds that the state of the equipment has problems, such as the electricity meter does not pay fees, the electricity meter does not run out of words, the electricity meter control is invalid, and the like, professional operation and maintenance personnel are informed to check the service process and the electricity meter configuration. And analyzing possible problems by operation and maintenance personnel according to the abnormal phenomena of the electric meter provided by the user to repair the service flow or modify the configuration of the electric meter hardware. The current scheme extremely depends on operation and maintenance personnel, and the operation and maintenance personnel are required to handle the abnormity in time, so that the user experience is ensured. For a large-scale electric meter platform, the number of electric meters is large, so that the possible problems are many, and the operation and maintenance workload is large, so that the user experience is difficult to guarantee. The current technical shortcomings are mainly expressed in the following two aspects: the abnormity is difficult to find and handle. Most of the electric meter problems have no obvious external expressions, such as time intervals and rate problems of the intelligent electric meter, and whether the problems exist or not is difficult to judge from the electricity consumption or the electricity consumption amount, namely, the electric meter is judged by pure manual expression, so that a large error exists. Even if a problem is found, the method for removing the problem by operation and maintenance personnel is very complicated, the electric meter data needs to be checked manually, and influences such as a business process, electric meter faults and the like need to be removed, so that a large amount of time is needed. Therefore, the technical problem of low efficiency of the traditional intelligent electric meter abnormal information processing scheme is solved.
Disclosure of Invention
In view of the above problems, the present invention provides an abnormal information processing method for a smart meter, a computer device, and a storage medium.
In order to achieve the purpose of the invention, the invention provides an abnormal information processing method of an intelligent ammeter, which comprises the following steps:
s10, issuing a query message for querying the state of the electric meter to the intelligent electric meter;
s20, receiving current characteristic information fed back by the intelligent electric meter according to the query message;
s30, detecting the abnormal state of the intelligent electric meter according to the current characteristic information;
and S40, generating an abnormal electric meter record aiming at the abnormal state of the intelligent electric meter, and repairing the abnormal state of the intelligent electric meter according to the abnormal electric meter record.
In one embodiment, repairing the abnormal state of the smart meter according to the abnormal meter record includes:
and generating and issuing an operation command of the intelligent electric meter according to the abnormal electric meter record, so that the intelligent electric meter repairs the service data according to the operation command of the intelligent electric meter.
As an embodiment, after the smart meter repairs the service data according to the smart meter operation command, the method further includes:
the intelligent ammeter generates new service data corresponding to the repair service data and sends the new service data to the intelligent platform system;
and the intelligent platform system detects whether the intelligent electric meter is successfully repaired according to the new service data.
In one embodiment, if the current feature information includes a bill, detecting an abnormal state of the smart meter according to the current feature information includes:
calculating the electricity consumption and the electricity consumption amount in a set time period according to the bill, and if the electricity consumption in the set time period is in an abnormal electricity consumption range or the electricity consumption amount is in an abnormal electricity consumption amount range, judging that the bill of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
and if the bill has the condition that the electricity consumption amount in the current detection period is out of the set amount range or the electricity consumption amount is out of the set electric quantity range, judging that the bill of the intelligent electric meter is abnormal.
In one embodiment, if the current feature information includes a sampling service, detecting an abnormal state of the smart meter according to the current feature information includes:
sampling data in a database corresponding to the polling sampling service is judged to be abnormal if the current detection period is set and the time point is not sent to the period sampling data of the current detection period;
and/or the presence of a gas in the gas,
and by polling the sampling data in the database corresponding to the sampling service, judging that the sampling of the intelligent ammeter is abnormal if the total power consumption in the sampling data uploaded in the current detection period is less than the total power consumption in the previous detection period, or the peak valley power consumption in the current detection period is less than the peak valley power consumption in the previous detection period.
In one embodiment, if the current characteristic information includes time period, rate, and power guarantee information, detecting an abnormal state of the smart meter according to the current characteristic information includes:
analyzing the current characteristic information to obtain a rate, a time period and power-preserving information, comparing the rate with prestored rate reference data, comparing the time period with prestored time period reference data, comparing the power-preserving information with prestored power-preserving reference data, and if at least one comparison result is inconsistent, judging that the power-preserving information is abnormal.
In one embodiment, if the current feature information includes recharge information, detecting an abnormal state of the smart meter according to the current feature information includes:
inquiring recharging records in the recharging information, and if the recharging records are inconsistent with the records of the intelligent electric meter platform, judging that the recharging information of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
polling records in items to be processed in the recharging information, and if at least 4 recharging failure records exist in the same intelligent electric meter, judging that the recharging information of the intelligent electric meter is abnormal.
A computer device includes a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor implements the steps of the method for processing the abnormal information of the smart meter according to any one of the above embodiments when executing the computer program.
A computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the steps of the method for processing abnormal information of a smart meter according to any one of the above embodiments.
According to the abnormal information processing method, the computer equipment and the storage medium of the intelligent ammeter, the inquiry message for inquiring the state of the ammeter is sent to the intelligent ammeter, the current characteristic information fed back by the intelligent ammeter according to the inquiry message is received, the abnormal state of the intelligent ammeter is detected according to the current characteristic information, the abnormal ammeter record is generated aiming at the abnormal state of the intelligent ammeter, the abnormal state of the intelligent ammeter is repaired according to the abnormal ammeter record, the processing efficiency of the abnormal information of the intelligent ammeter is improved, and the detection efficiency of the abnormal information and the corresponding abnormal repairing efficiency can be improved.
Drawings
FIG. 1 is a flowchart of an abnormal information processing method of a smart meter according to an embodiment;
FIG. 2 is a schematic diagram of an anomaly detection service and an anomaly remediation service of the intelligent platform system, according to an embodiment;
FIG. 3 is a diagram illustrating an exemplary cumulative alert window selection;
FIG. 4 is a schematic diagram of a computer device of an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
In order to make the technical solutions provided by the present application clearer, functional features of the smart meter are described below.
The intelligent electric meter is an intelligent terminal of an intelligent power grid, is not an electric energy meter in the traditional sense, has intelligent functions such as bidirectional multi-rate metering function, user side control function, bidirectional data communication function of multiple data transmission modes, electricity larceny prevention function and the like in order to adapt to the use of the intelligent power grid and new energy besides the metering function of basic electricity consumption of the traditional electric energy meter, and represents the development direction of an intelligent terminal of a future energy-saving intelligent power grid end user. The functional features of the smart meter may include:
【1】 Billing service: the bill is an important service in the day tracking EMCS (energy consumption charging platform), the service records the peak valley degree of the intelligent ammeter in one day, and the amount of electricity consumed by the ammeter in one day and the electricity consumption are calculated according to the electricity price of the peak valley.
【2】 Sampling: sampling is an important service in the day tracking EMCS (energy use billing platform), which uploads valuable data in all electricity meters under the platform to a database for billing service and other related procedures to call. The valuable data in the electric meter comprises total electric energy degree, sharp electric quantity degree, peak electric quantity degree, flat electric quantity degree, valley electric quantity degree, overdraft amount of the electric meter, remaining amount of the electric meter, recharging times of the electric meter, overdraft amount of the electric meter and the like.
【3】 Rate, time period: the rate actually means the price of electricity, i.e., the amount charged per degree of electricity; the time period is 24 hours a day and can be divided into a plurality of time periods (peak and flat valley), and the cost of each degree of electricity of the electricity meters in different time periods can be different. The general rate and time period are corresponding, for example, 6 hours-12 hours in a day are set as a tip time period, then the electricity consumption in the time period is charged according to the tip rate; 12 hours-18 hours is the peak time period, which will be charged according to the peak rate; flat time period 18-24, which will be charged at flat rate; the 24 hours-the next day 6 hours is the valley period, which is charged according to the valley rate.
【4】 And (3) power conservation state: the power-conserving state is divided into two types, one is power-conserving due to arrearage, and the other is power-off due to arrearage. The arrearage power-off means that after the fees paid in advance in the ammeter are used, the electricity is cut off immediately, and the commercial tenant loses power supply; the power is not interrupted even if the pre-paid fee is used up, and the merchant still can use the power. The power conservation status can be viewed on a day tracking EMCS (energy usage billing platform) and the power conservation status of the electricity meter can be modified.
【5】 The items to be processed are as follows: backlog is an important function in the day tracking EMCS (energy usage billing platform). The user often has a demand for operating the electric meter, for example, a series of operations such as recharging, issuing power conservation, issuing rate, issuing time interval and the like are performed on the electric meter, but the command is not successfully issued at that time possibly due to the influence of electric meter configuration or communication, the system retains the command and the progress information after the command is issued, generates to-be-processed items and displays the to-be-processed items to the user, and the user can select to cancel the items or retry the items when appropriate.
【6】 Meter reading: the meter reading means that the intelligent electric meter platform sends a message to the electric meter, and the message draws information such as electric energy, recharging times and the like of the equipment.
The abnormal information processing method of the intelligent electric meter can be applied to an intelligent platform system for carrying out abnormal detection and repair on the intelligent electric meter. According to the intelligent platform system, the inquiry message for inquiring the state of the electric meter is sent to the intelligent electric meter, the current characteristic information fed back by the intelligent electric meter according to the inquiry message is received, the abnormal state of the intelligent electric meter is detected according to the current characteristic information, the abnormal electric meter record is generated aiming at the abnormal state of the intelligent electric meter, and the abnormal state of the intelligent electric meter is repaired according to the abnormal electric meter record, so that the abnormal information processing efficiency of the intelligent electric meter is improved. The intelligent platform system can be, but is not limited to, various personal computers, notebook computers, smart phones, and tablet computers.
In an embodiment, as shown in fig. 1, an abnormal information processing method for a smart meter is provided, which is described by taking an example that the method is applied to a smart platform system, and includes the following steps:
and S10, issuing a query message for querying the state of the electric meter to the intelligent electric meter.
And S20, receiving the current characteristic information fed back by the intelligent electric meter according to the query message.
And S30, detecting the abnormal state of the intelligent electric meter according to the current characteristic information.
And S40, generating an abnormal electric meter record aiming at the abnormal state of the intelligent electric meter, and repairing the abnormal state of the intelligent electric meter according to the abnormal electric meter record.
The intelligent platform system can be provided with an abnormality detection service and an abnormality repair service. The abnormal detection service can be communicated with a bottom-layer electric meter (intelligent electric meter), actively sends a message for inquiring the configuration (state) of the electric meter, receives and analyzes the message (such as current characteristic information) returned by the electric meter, the returned message carries current configuration information and state information of the intelligent electric meter, and the abnormal detection service actively and accurately finds the problems of the electric meter by comparing the obtained current characteristic information with the data stored on the intelligent platform system. The types of abnormality detected by the abnormality detection service and the criteria for determination are described in detail below.
Further, the anomaly detection service actively discovers possible abnormal electricity meters through two layers, namely service logic and the electricity meter uploading message information described in this embodiment. The service logic means that the detection module polls generated service data according to services (such as billing services) of the intelligent electric meter platform, finds error data and reversely locates the abnormal electric meter.
Furthermore, the intelligent platform system generates an abnormal electric meter record aiming at the abnormal state of the intelligent electric meter, and restores the abnormal state of the intelligent electric meter according to the abnormal electric meter record. Specifically, the current characteristic information may include billing, sampling (sampling service), time period, rate, power conservation, recharging, ammeter communication problems, and the like, and for the abnormal state of the smart electric meter, the abnormal detection service may analyze the abnormal state, and the purpose of the analysis is to reversely locate the abnormality of the smart electric meter through a problem occurring in the platform service layer. For example, under the condition that the electricity consumption amount and the electricity consumption amount of a daily bill are 0 for 3 consecutive days, the detection module can judge that the intelligent electric meter corresponding to the daily bill has two problems of sending an abnormally large value on the sampling data and mismatching the rate time period, and finally two records can be generated, wherein one record is used for subsidizing the sampling data, and the other record is used for sending the rate time period again. The detection module distinguishes services, different threads are opened for judging different services, and the threads are communicated with each other. In the above case, if the actual rates of the platform and the electric meter are determined, and the time-interval rates of the equipment are consistent, only one record is generated and pushed to the repairing module, so that useless and repeated communication processes between the repairing module and the intelligent electric meter are avoided.
According to the abnormal information processing method of the intelligent ammeter, the inquiry message for inquiring the state of the ammeter is sent to the intelligent ammeter, the current characteristic information fed back by the intelligent ammeter according to the inquiry message is received, the abnormal state of the intelligent ammeter is detected according to the current characteristic information, the abnormal ammeter record is generated aiming at the abnormal state of the intelligent ammeter, and the abnormal state of the intelligent ammeter is repaired according to the abnormal ammeter record, so that the processing efficiency of the abnormal information of the intelligent ammeter is improved, and the detection efficiency of the abnormal information and the corresponding abnormal repairing efficiency can be specifically improved.
In one embodiment, repairing the abnormal state of the smart meter according to the abnormal meter record includes:
and generating and issuing an operation command of the intelligent electric meter according to the abnormal electric meter record, so that the intelligent electric meter repairs the service data according to the operation command of the intelligent electric meter.
As an embodiment, after the smart meter repairs the service data according to the smart meter operation command, the method further includes:
the intelligent ammeter generates new service data corresponding to the repair service data and sends the new service data to the intelligent platform system;
and the intelligent platform system detects whether the intelligent electric meter is successfully repaired according to the new service data.
The anomaly repair service can operate the intelligent electric meter according to the anomaly electric meter record provided by the anomaly detection service so as to achieve the effect of correcting the platform service data. And the repairing module corresponding to the abnormal repairing service is divided into two parts of issuing an intelligent electric meter operation command and repairing service data, the repairing module feeds back the repairing module after the repairing is finished, and the detecting module judges whether the repairing is successful again. The repairing module can ensure that a user can master the state of the intelligent electric meter in real time according to configuration, a synchronous database with emphasis and configuration information in the intelligent electric meter.
In one example, the current feature information may include billing, sampling (sampling service), time period, rate, power conservation, recharge, and meter communication problems, and accordingly, the new service data may also include billing, sampling (sampling service), time period, rate, power conservation, recharge, and meter communication problems.
Specifically, the repairing module corresponding to the abnormal repairing service operates the smart meter according to the abnormal meter record provided by the abnormal detection service, so that the effect of correcting the platform service data is achieved. The repairing module is divided into two parts of issuing an intelligent electric meter operation command and repairing service data, the two parts are fed back to the detecting module after repairing is finished, and the detecting module judges whether repairing is successful again. The repairing module can ensure that a user can master the state of the intelligent electric meter in real time according to configuration, a synchronous database with emphasis and configuration information in the intelligent electric meter. The above-mentioned anomaly detection module lists the recovery of anomalies as detailed below.
Aiming at the bill:
and regarding three continuous anomalies of 0, namely the calculated power consumption and the electricity consumption, the anomaly repairing module inquires the sampling data of the equipment, if the sampling data are obviously changed, the bill of the equipment is proved to be wrong, the bill service is called again, and a correct bill is generated again.
Further, for the exception of the bill data, an interval may be set to reflect the exception. For example, an electricity consumption amount interval is set for one table, and if the electricity consumption amount of the table is not in the interval at a certain day, the abnormal condition is determined, and the platform gives an alarm. The interval is reasonably set by field personnel according to the actual use condition, and the assistance platform can more accurately position the bill problem.
For sampling
When the data are not uploaded in the current detection period (such as the current day) 6, the abnormal repairing module automatically pulls the electric meter sampling data and stores the electric meter sampling data into the database for other service programs to call.
And if the operation of changing the table exists, the data is normal because the uploaded small value is not the previous data, but the data of a new table and has no comparability. If no other related operation exists, the abnormal repairing program automatically communicates with the electric meter to obtain correct source sampling data and update the data of the present day.
For time period, charge rate and power conservation
For time period and rate, the message sent by the abnormal repairing module is inconsistent with the information stored by the platform (intelligent platform system) through analysis, and the time period and rate command is sent again by taking the data of the platform as the standard, so that the consistency of the platform data and the information of the electric meter is ensured. Due to the particularity of the electricity protection operation, in case that the commercial tenant is suddenly powered off, the abnormal repairing module can issue an owing fee electricity protection command to the ammeter only when the ammeter is detected to be in an owing fee power off state and the platform is in an owing fee electricity protection state.
Description of the drawings: the operation of the commercial tenant on the electric meter is realized through the platform, the platform records the expected operation of the commercial tenant on the electric meter, and then the platform issues a command to the electric meter, namely the platform data is the data desired by the commercial tenant, and the configuration of the electric meter is strictly consistent with that of the platform, so the abnormal repairing module takes the platform data as the standard.
For charging
If the recharging record is not matched with the platform, the recharging behavior of the device jumping over the platform is indicated, the abnormal repairing module sends an alarm to the merchant and the operation and maintenance personnel, and the operation and maintenance personnel or the merchant can confirm the alarm through the actual condition of the electric meter. If the recharging record exists, the cancellation alarm is confirmed.
The device has a plurality of recharge to be dealt with, and the abnormality can be classified as an ammeter communication problem and is analyzed as follows.
Aiming at the communication problem of the ammeter
The problem of ammeter communication is not only the problem of hardware line interruption under rare conditions, but also is mostly caused by problems such as identity authentication and the like, and is actually a configuration problem. The abnormal repairing program calls the archive information (including the station number, the equipment address, the equipment code and the like) of the equipment stored on the platform, compares the archive information with the information uploaded by the electric meter in sequence, and issues a command to update the electric meter information under the reference of the platform if the archive information is different from the information uploaded by the electric meter. After the comparison and updating are finished, meter reading operation is issued to verify whether the communication is normal or not, if the communication is not normal or not, an alarm is pushed, operation and maintenance and user manual intervention are allowed, and whether the information configured by the platform is correct or not is checked. Meter communication problems can still result in many types of meter operation failures, such as power conservation, recharge, rate, time period, and the like. If the situation that various electric meter operations fail under the equipment is inquired, the electric meter communication problem can be judged.
In one embodiment, if the current feature information includes a bill, detecting an abnormal state of the smart meter according to the current feature information includes:
calculating the electricity consumption and the electricity consumption amount in a set time period according to the bill, and if the electricity consumption in the set time period is in an abnormal electricity consumption range or the electricity consumption amount is in an abnormal electricity consumption amount range, judging that the bill of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
and if the bill has the condition that the electricity consumption amount in the current detection period is out of the set amount range or the electricity consumption amount is out of the set electric quantity range, judging that the bill of the intelligent electric meter is abnormal.
The set time period may include a time period of approximately 3 days or the like, and the abnormal range of the power consumption amount and the abnormal range of the amount of power consumption may each be a relatively small range of 0 to 0.5 or the like. The current detection period may be the current day. The set amount range is a range between the upper and lower 30% of the average value of the electricity amount in the past 30 days. The electricity amount range is set to a range between the upper and lower 30% of the average value of the used amount of electricity in the past 30 days. Taking the business data of the daily tracking EMCS (energy consumption charging platform) bill service as an example, the electricity consumption and the electricity consumption amount calculated by the bill of the equipment for 3 consecutive days are 0, and the abnormal condition is judged. And/or according to the business data of the day tracking EMCS (energy consumption charging platform) bill service, if the electricity consumption amount and the electricity consumption amount of the current day are obviously lower than or exceed the average value in the past 30 days, and the proportion of the lower or the higher part to the average value is more than 30%, the abnormal condition is judged.
In one embodiment, if the current feature information includes a sampling service, detecting an abnormal state of the smart meter according to the current feature information includes:
sampling data in a database corresponding to the polling sampling service is judged to be abnormal if the current detection period is set and the time point is not sent to the period sampling data of the current detection period;
and/or the presence of a gas in the gas,
and by polling the sampling data in the database corresponding to the sampling service, judging that the sampling of the intelligent ammeter is abnormal if the total power consumption in the sampling data uploaded in the current detection period is less than the total power consumption in the previous detection period, or the peak valley power consumption in the current detection period is less than the peak valley power consumption in the previous detection period.
The current detection period may be the current day, and the last detection period may be the previous day. The set time point may be 6 am. Taking the service data of the day tracking EMCS (energy charging platform) sampling service as an example, if the day sampling data of the current day is not sent before 6 am of the current day, the current day is judged to be abnormal by polling the sampling data in the database. According to the service data of the day tracking EMCS (energy consumption charging platform) sampling service, the total power consumption and the peak valley power consumption in the sampling data uploaded today are compared with the data uploaded in the previous day by polling the sampling data in the database, and the data uploaded in the current day is smaller than the data uploaded in the last day, so that the data are judged to be abnormal. Because the data of the electricity consumption is the meter head value uploaded by the electric meter, namely the electric energy scale accumulated on the electric meter, the scale is only increased and is not reduced.
In one embodiment, if the current characteristic information includes time period, rate, and power guarantee information, detecting an abnormal state of the smart meter according to the current characteristic information includes:
analyzing the current characteristic information to obtain a rate, a time period and power-preserving information, comparing the rate with prestored rate reference data, comparing the time period with prestored time period reference data, comparing the power-preserving information with prestored power-preserving reference data, and if at least one comparison result is inconsistent, judging that the power-preserving information is abnormal.
The rate reference data, the time interval reference data and the power-saving reference data can be pre-stored in an intelligent platform system. For example, the anomaly detection module communicates with the intelligent electric meter to send a command for inquiring the rate, the time interval and the power protection of the equipment to the intelligent electric meter, the electric meter feeds back a message after receiving the command, the detection module takes the message for analysis, the analyzed rate, time interval and power protection information are compared with platform data, and if the rate, time interval and power protection information are different, the anomaly is judged.
In one embodiment, if the current feature information includes recharge information, detecting an abnormal state of the smart meter according to the current feature information includes:
inquiring recharging records in the recharging information, and if the recharging records are inconsistent with the records of the intelligent electric meter platform, judging that the recharging information of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
polling records in items to be processed in the recharging information, and if at least 4 recharging failure records exist in the same intelligent electric meter, judging that the recharging information of the intelligent electric meter is abnormal.
Specifically, the anomaly detection module is correspondingly communicated with the electric meter to inquire the recharging records stored in the electric meter, the found recharging records are compared with the records of the intelligent electric meter platform, and if errors exist, the anomaly is judged to be abnormal. Or according to the function of tracing the items to be processed by the EMCS (energy consumption charging system), the abnormity detection module polls the records in the items to be processed, finds that 4 or more recharging failures exist in the same ammeter, and judges that the ammeter is abnormal.
In an example, the current characteristic information includes an abnormal communication of the electric meter, for example, a meter reading operation is performed before operations such as recharging, power conservation, time interval, charge rate and the like are issued, and if the meter reading fails for more than 5 times continuously, the electric meter is determined to be abnormal. The platform preferentially solves the abnormal communication condition of the electric meter, and the operations of power conservation, time interval, rate, recharging and the like can be successful only when the communication is normal. Therefore, when the individual electric meter has the operations of communication abnormity, rate, time interval issuing, recharging and the like at the abnormity repair stage, the system can firstly solve the problem of electric meter communication and lay the electric meter operation command for issuing until the electric meter can normally communicate.
Further, in the process of processing the abnormal information of the smart electric meter, the smart platform system sets strong correlation between the abnormal detection service and the abnormal repair service and the business process, as shown in fig. 2. The anomaly detection service upwards and a business process service program pull configuration information of the intelligent electric meter equipment at the platform center, and downwards call the configuration information on the intelligent electric meter hardware equipment, and the configuration information are compared before and after and the information of the intelligent electric meter hardware equipment is inconsistent; and inquiring the ammeter with abnormal data in the service process, and writing the record. And the abnormity repairing service receives the ammeter records from the abnormity detecting service and performs corresponding ammeter repairing according to different detected configuration information and service flow error information. In one example, a working schematic diagram of the intelligent platform system may be as shown with reference to fig. 3.
Further, for the abnormal repairing service, the electricity meter generates an operation record for operation and maintenance personnel and user query.
For different types of abnormalities, the operation and maintenance personnel can be selected to repair or not repair (operation and maintenance personnel can be repaired or users can realize the operation and maintenance through the configuration of the electric meter platform) according to the actual situation of the site so as to adapt to the requirements of the site.
Compared with the prior art, the method for processing the abnormal information of the intelligent electric meter has the following technical advantages: the abnormal condition of the intelligent electric meter equipment is sensed quickly, correctly and timely; setting an abnormality judgment standard by using the service data of the weather tracing platform, and accurately positioning the abnormality of the intelligent electric meter equipment; the method has the advantages that equipment abnormity is efficiently and accurately solved, and the business process caused by the abnormity is quickly corrected; the workload of operation and maintenance personnel is greatly reduced, and the user experience is improved.
In one embodiment, a computer device is provided, which may be a terminal, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to realize an abnormal information processing method of the intelligent ammeter. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the computer equipment, an external keyboard, a touch pad or a mouse and the like.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Based on the examples described above, in one embodiment, a computer device is further provided, where the computer device includes a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the exception information processing method of the smart meter in any of the above embodiments is implemented.
It will be understood by those skilled in the art that all or part of the processes in the method for implementing the above embodiments may be implemented by a computer program to instruct related hardware, where the program may be stored in a non-volatile computer readable storage medium, and as in the embodiments of the present invention, the program may be stored in a storage medium of a computer system and executed by at least one processor in the computer system, so as to implement the processes of the embodiments including the above method for processing exception information of the smart meter. The storage medium may be a magnetic disk, an optical disk, a Read-only Memory (ROM), a Random Access Memory (RAM), or the like.
Accordingly, in an embodiment, a computer storage medium is also provided, and a computer readable storage medium is stored thereon, wherein the program is executed by a processor to implement the method for processing the abnormal information of the smart meter according to any one of the embodiments.
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
It should be noted that the terms "first \ second \ third" referred to in the embodiments of the present application merely distinguish similar objects, and do not represent a specific ordering for the objects, and it should be understood that "first \ second \ third" may exchange a specific order or sequence when allowed. It should be understood that "first \ second \ third" distinct objects may be interchanged under appropriate circumstances such that the embodiments of the application described herein may be implemented in an order other than those illustrated or described herein.
The terms "comprising" and "having" and any variations thereof in the embodiments of the present application are intended to cover non-exclusive inclusions. For example, a process, method, apparatus, product, or device that comprises a list of steps or modules is not limited to the listed steps or modules but may alternatively include other steps or modules not listed or inherent to such process, method, product, or device.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. An abnormal information processing method of an intelligent ammeter is characterized by comprising the following steps:
s10, issuing a query message for querying the state of the electric meter to the intelligent electric meter;
s20, receiving current characteristic information fed back by the intelligent electric meter according to the query message;
s30, detecting the abnormal state of the intelligent electric meter according to the current characteristic information;
and S40, generating an abnormal electric meter record aiming at the abnormal state of the intelligent electric meter, and repairing the abnormal state of the intelligent electric meter according to the abnormal electric meter record.
2. The method for processing the abnormal information of the smart meter according to claim 1, wherein the repairing the abnormal state of the smart meter according to the abnormal meter record comprises:
and generating and issuing an operation command of the intelligent electric meter according to the abnormal electric meter record, so that the intelligent electric meter repairs the service data according to the operation command of the intelligent electric meter.
3. The method for processing the abnormal information of the smart meter according to claim 2, wherein after the smart meter repairs the service data according to the smart meter operation command, the method further comprises:
the intelligent ammeter generates new service data corresponding to the repair service data and sends the new service data to the intelligent platform system;
and the intelligent platform system detects whether the intelligent electric meter is successfully repaired according to the new service data.
4. The method for processing the abnormal information of the smart meter according to claim 1, wherein if the current feature information includes a bill, the detecting the abnormal state of the smart meter according to the current feature information includes:
calculating the electricity consumption and the electricity consumption amount in a set time period according to the bill, and if the electricity consumption in the set time period is in an abnormal electricity consumption range or the electricity consumption amount is in an abnormal electricity consumption amount range, judging that the bill of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
and if the bill has the condition that the electricity consumption amount in the current detection period is out of the set amount range or the electricity consumption amount is out of the set electric quantity range, judging that the bill of the intelligent electric meter is abnormal.
5. The method of claim 1, wherein if the current characteristic information includes a sampling service, the detecting the abnormal state of the smart meter according to the current characteristic information comprises:
sampling data in a database corresponding to the polling sampling service is judged to be abnormal if the current detection period is set and the time point is not sent to the period sampling data of the current detection period;
and/or the presence of a gas in the gas,
and by polling the sampling data in the database corresponding to the sampling service, judging that the sampling of the intelligent ammeter is abnormal if the total power consumption in the sampling data uploaded in the current detection period is less than the total power consumption in the previous detection period, or the peak valley power consumption in the current detection period is less than the peak valley power consumption in the previous detection period.
6. The method of claim 1, wherein if the current characteristic information includes time period, rate, and power conservation information, the detecting the abnormal state of the smart meter according to the current characteristic information comprises:
analyzing the current characteristic information to obtain a rate, a time period and power-preserving information, comparing the rate with prestored rate reference data, comparing the time period with prestored time period reference data, comparing the power-preserving information with prestored power-preserving reference data, and if at least one comparison result is inconsistent, judging that the power-preserving information is abnormal.
7. The method for processing the abnormal information of the smart meter according to any one of claims 1 to 6, wherein if the current feature information includes the recharge information, the detecting the abnormal state of the smart meter according to the current feature information includes:
inquiring recharging records in the recharging information, and if the recharging records are inconsistent with the records of the intelligent electric meter platform, judging that the recharging information of the intelligent electric meter is abnormal;
and/or the presence of a gas in the gas,
polling records in items to be processed in the recharging information, and if at least 4 recharging failure records exist in the same intelligent electric meter, judging that the recharging information of the intelligent electric meter is abnormal.
8. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the steps of the method of any of claims 1 to 7 are implemented when the computer program is executed by the processor.
9. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
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Application publication date: 20200529 |