CN107451742A - A kind of electric energy meter continues the more days remote diagnosis processing methods without meter reading data failure - Google Patents

Abstract

The invention discloses a remote diagnosis and processing method for electric energy meters without meter reading data failure for several days, and relates to the field of power grid collection operation and maintenance. At present, when the energy meter has no meter reading data for several days, due to the complexity of the situation, the cost of human resources is high by dispatching workers to the site to deal with it. The present invention includes the following steps: 1) file abnormality analysis; 2) parameter abnormality analysis; 3) task abnormality analysis; 4) clock abnormality analysis; Send workers to conduct on-site investigation and processing. This technical solution analyzes and judges step by step, improves the speed of troubleshooting, and avoids repeated analysis and processing; avoids the situation that once the electric energy meter has no meter reading data for several days, it must be dispatched to the scene to deal with it, saving human resource costs , To ensure the efficient development of collection operation and maintenance work.

Description

A remote diagnosis and processing method for electric energy meters without meter reading data failure for many days

technical field

The invention relates to the field of power grid collection operation and maintenance, in particular to a remote diagnosis and processing method for an electric energy meter that has no faults in meter reading data for several days.

Background technique

Since 2010, the power grid company has comprehensively promoted the electricity consumption information collection system (hereinafter referred to as the "collection system"). By the end of 2014, the full-caliber collection coverage had reached about 70%, and some provincial companies had achieved full coverage. With the gradual completion of full coverage of collection work, the focus of collection work is gradually shifting from system construction to system operation and maintenance. In order to ensure the safe, stable, reliable, and efficient operation of the collection system, standardize the operation and maintenance of the collection system, strengthen the closed-loop management of the operation and maintenance of the collection system, and improve the application level of the collection system, according to the requirements of the "State Grid Corporation's Electricity Information Collection System Operation and Maintenance Management Measures" , in the closed-loop management process of collection operation and maintenance, remote processing has become the priority processing method for collection abnormalities; at present, when the electric energy meter has no meter reading data for several days, due to the complexity of the situation, by dispatching workers to the site for processing, human resources The cost is high, and it affects the efficient development of collection operation and maintenance work.

Contents of the invention

The technical problem to be solved and the technical task proposed by the present invention are to improve and improve the existing technical solutions, and to provide a remote diagnosis and processing method for electric energy meters without meter reading data failure for many days, so as to reduce manpower. For this reason, the present invention takes the following technical solutions.

A method for remote diagnosis and processing of electric energy meters without meter reading data failure for several days, characterized in that it comprises the following steps:

1) File abnormality analysis, to determine whether the user/terminal/electric energy meter file is the same as the marketing file, if they are the same, go to the next step, otherwise, synchronize the file information according to the marketing file;

2) Parameter abnormality analysis, calling and testing the configuration parameters of the terminal/electric energy meter/AC sampling device, comparing the measured parameters with the collection system files, if they are consistent, proceed to the next step, otherwise re-issue the terminal/electric energy meter/ AC sampling device configuration parameters;

3) Task abnormality analysis, calling and testing the terminal task data setting parameters, and comparing them with the task data setting parameters in the terminal task list of the collection system, if they are consistent, proceed to the next step, otherwise re-issue the task data setting parameters;

4) Clock anomaly analysis, compare the terminal/meter clock and call to measure the time of the meter/terminal; call and test the terminal calendar clock, and compare it with the GPRS clock of the master station. If the error between the terminal clock and the GPRS clock of the master station is within Within the allowable range, the remote diagnosis ends, otherwise, the time synchronization of the terminal is performed remotely;

5) After remote diagnosis and treatment, archive the fault recovery, and dispatch workers to carry out on-site investigation and processing if the fault has not been recovered.

The technical solution performs analysis, judgment and processing step by step, improves the speed of troubleshooting, and avoids repeated analysis and processing.

This technical solution avoids the situation that once the electric energy meter has no meter reading data for several days, workers must be dispatched to the site for processing, which saves the cost of human resources and ensures the efficient development of collection, operation and maintenance work.

As a further improvement and supplement to the above technical solutions, the present invention also includes the following additional technical features.

In step 1), the file comparison includes user account number, electricity address, user capacity, station area number, electricity attribute, industry number, user type, installation date; meter asset number, meter magnification, meter address, CT Transformation ratio, PT transformation ratio, communication address, communication protocol, meter digits, wiring mode; terminal asset number, terminal address, terminal type, SIM card number, collection method.

In step 2), the configuration parameter setting includes (AFN=04H) F10 terminal electric energy meter/AC sampling device configuration parameters, and the parameters include electric energy meter address, electric energy meter protocol, baud rate, port number, CT transformation ratio, PT transformation Specific parameters; in step 3), the task data setting includes (AFN=04H) F65 timed report type 1 data task setting, F66 timed report type 2 data task setting; parameters include task number, task name, measurement point number, task status , Reporting reference time, reporting cycle unit, and reporting cycle parameters.

In step 4), the main station calls and requests type 1 data (AFN=0CH) F2 terminal calendar clock.

Beneficial effects: This technical solution automatically compares file information, compares terminal electric energy meters or AC sampling parameters, compares terminal tasks, compares clocks and other related parameters, corrects the parameters with differences, and realizes the on-site electric energy meter parameters and the main station Consistent, reducing manual inspection, thereby improving the efficiency of collection operation and maintenance.

Description of drawings

Fig. 1 is the flow chart of the present invention.

detailed description

The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.

As shown in Figure 1, the present invention comprises the following steps:

1) File abnormality analysis, to determine whether the file is the same as the marketing file, if they are the same, go to the next step, otherwise, synchronize the file information according to the marketing file; file comparison includes user account number, electricity address, user capacity, station area number, user Electrical attribute, industry number, user type, installation date; meter asset number, meter magnification, meter address, CT ratio, PT ratio, communication address, communication protocol, meter digits, wiring mode; terminal asset number, terminal Address, terminal type, SIM card number, collection method.

2) Parameter abnormality analysis, calling and testing the configuration parameters of the terminal/electric energy meter/AC sampling device, comparing the measured parameters with the collection system files, if they are consistent, proceed to the next step, otherwise re-issue the terminal electric energy/AC sampling device Device configuration parameters; configuration parameter settings include (AFN=04H) F10 terminal energy meter/AC sampling device configuration parameters, parameters include energy meter address, energy meter protocol, baud rate, port number, CT ratio, PT ratio parameters .

3) Task abnormality analysis, calling and testing the terminal task data setting parameters, and comparing them with the task data setting parameters in the terminal task list of the acquisition system, if they are consistent, proceed to the next step, otherwise re-issue the task data setting parameters; task data Setting parameters include task number, task name, measurement point number, task status, reporting reference time, reporting cycle unit, and reporting cycle parameters; task data setting includes (AFN=04H) F65 timing report 1 type data task setting, F66 timing reporting 2 Class data task settings.

4) Clock anomaly analysis, compare the terminal/meter clock and call to measure the time of the meter/terminal; call and test the terminal calendar clock, and compare it with the GPRS clock of the master station. If the error between the terminal clock and the GPRS clock of the master station is within If it is within the allowable range, the remote diagnosis is over, otherwise, the time of the terminal is remotely adjusted, and the calendar clock of the terminal called by the master station is the type 1 data (AFN=0CH) of the call test request (AFN=0CH) F2 terminal calendar clock.

5) After remote diagnosis and treatment, archive the fault recovery, and dispatch workers to carry out on-site investigation and processing if the fault has not been recovered.

The remote diagnosis and processing method of a kind of electric energy meter shown in Fig. 1 without meter reading data failure for many days is a specific embodiment of the present invention, which has reflected the substantive characteristics and progress of the present invention, and can be used according to actual needs in Under the enlightenment of the present invention, equivalent modifications thereof are all within the scope of protection of this scheme.

Claims (5)

1. a kind of electric energy meter continues the more days remote diagnosis processing methods without meter reading data failure, it is characterised in that including following step Suddenly：

1）Archives anomaly analysis, judge whether user/terminal/electric energy meter archives are identical with marketing archives, if identical, carry out down One step, otherwise according to marketing archives, synchronous archive information；

2）Abnormal parameters are analyzed, and are called survey terminal/electric energy meter/ac sampling device configuration parameter together, will be called the parameter measured and collection together System file is compared, if unanimously, carrying out in next step, otherwise re-issuing terminal/electric energy meter/ac sampling device configuration Parameter；

3）Task abnormity analyze, call together survey terminal task data arrange parameter, and with the task in acquisition system terminal task list Data arrange parameter is compared, if unanimously, carrying out in next step, otherwise re-issuing task data arrange parameter；

4）Clock anomaly analysis, compare terminal/meter clock and call survey together, meter/terminal is set time；When calling survey terminal calendar together Clock, be compared with main website GPRS clocks, if terminal clock with main website GPRS clocking errors in allowed limits, remotely Diagnosis terminates, and otherwise remotely terminal is set time；

5）After remote diagnosis processing, to filing for fault recovery, the still unrecovered row for needing to send work to carry out scene of failure Investigate and prosecute reason.

2. a kind of electric energy meter according to claim 1 continues the more days remote diagnosis processing methods without meter reading data failure, It is characterized in that：In step 1), archives compare include with every family number, electricity consumption address, user capacity, taiwan area numbering, electricity consumption category Property, industry numbering, user type, installed date；It is ammeter asset number, ammeter multiplying power, ammeter table address, CT no-load voltage ratios, PT no-load voltage ratios, logical Interrogate address, communication protocol, meter digit, the mode of connection；Terminal wealth number, terminal address, terminal type, SIM card number, collection side Formula.

3. a kind of electric energy meter according to claim 1 continues the more days remote diagnosis processing methods without meter reading data failure, It is characterized in that：In step 2), configuration parameter, which is set, to be included（AFN=04H）F10 terminals electric energy meter/ac sampling device configuration Parameter, parameter include electric energy meter address, electric energy meter stipulations, baud rate, port numbers, CT no-load voltage ratios, PT no-load voltage ratio parameters.

4. a kind of electric energy meter according to claim 1 continues the more days remote diagnosis processing methods without meter reading data failure, It is characterized in that：In step 3), task data, which is set, to be included（AFN=04H）F65 timings report 1 class data task to set, F66 Timing reports 2 class data tasks to set；When parameter includes task number, task names, measures period, task status, reports benchmark Between, report cycle unit, report cycle parameter.

5. a kind of electric energy meter according to claim 1 continues the more days remote diagnosis processing methods without meter reading data failure, It is characterized in that：In step 4), main website calls survey 1 class data of request together（AFN=0CH）F2 terminal calendar clocks.