CN105699760A - Electric energy metering equipment and method for analyzing operating condition of power utilization information collection equipment - Google Patents

Abstract

The present invention provides a method for analyzing the operating conditions of electric energy metering equipment and power consumption information collection equipment. The method includes: acquiring equipment file data and equipment operation abnormality data within a set time from the power consumption information collection system ;According to various types of abnormalities in the abnormal operation data of the equipment, the historical abnormal operation data of various types of abnormalities are obtained from the power consumption information collection system; according to the archive data of the equipment, from the power consumption information collection system Obtain abnormal operation data of similar equipment within the set time; generate various abnormalities in the abnormal operation data of the equipment according to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment The possible causes of the failure and suggestions for troubleshooting. The present invention can realize the prediction, investigation and reasonable treatment of the abnormal operation of the equipment by associating and inquiring various related data of the electric equipment.

Description

Method for analyzing the operating conditions of electric energy metering equipment and power consumption information collection equipment

technical field

The invention relates to the field of electric power technology, in particular to an analysis method for operating conditions of electric energy metering equipment and electricity consumption information collection equipment.

Background technique

With the deepening of collection construction and the deepening application of collection system functions, the company has higher requirements for the operation reliability of the collection system and the quality of data collection; Operation and maintenance management problems that need to be solved urgently.

At present, the main station of the power consumption information collection system has the functions of displaying and judging terminal abnormal events, but it does not have the ability to statistically analyze the operating conditions of the collection equipment, and it is difficult to effectively extract the required monitoring information from a large amount of abnormal information. The subsequently developed measurement abnormality online monitoring subsystem classified all kinds of abnormal information, but it also mainly focused on query methods.

The program of the electricity consumption information collection system can collect and display all kinds of abnormal electricity consumption information of the collection terminal, electric energy meter and other equipment. early warning.

Contents of the invention

The invention provides a method for analyzing the operating conditions of electric energy metering equipment and electricity consumption information collection equipment, so as to solve one or more deficiencies in the prior art.

The present invention provides a method for analyzing the operating conditions of electric energy metering equipment and power consumption information collection equipment. The method includes: obtaining equipment file data and equipment operation abnormal data within a set time from the power consumption information collection system; According to various types of abnormalities in the abnormal operation data of the equipment, the historical operation abnormal data of the various types of abnormalities are obtained from the power consumption information collection system; according to the archive data of the equipment, obtained from the power consumption information collection system The abnormal operation data of similar equipment within the set time; according to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment, generate the abnormal data of various types in the abnormal operation data of the equipment Possible causes of failures and suggestions for troubleshooting; wherein, the device is an electric energy metering device or an electricity consumption information collection device.

In one embodiment, according to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment, the possible causes of various abnormal faults in the abnormal operation data of the equipment are generated, including: according to The abnormal operation data of the equipment is calculated to obtain the first occurrence number and proportion of the various types of abnormalities in the abnormal operation data of the equipment; The first occurrence intervals and processing results of various abnormalities; according to the abnormal operation data of the similar equipment, calculate the second occurrence numbers and proportions of various abnormalities in the abnormal operation data of the similar equipment, and the second Two occurrence intervals; according to the first occurrence number and its proportion, the first occurrence interval and processing results, the second occurrence number and its proportion, and the second occurrence interval, generate the occurrence time of the fault Possible Causes.

In one embodiment, the similar device is the same as one or more of the device manufacturer, device manufacturing batch and device specification version of the device.

In one embodiment, the occurrence of the fault is generated according to the first occurrence number and its proportion, the first occurrence interval and processing result, the second occurrence number and its proportion, and the second occurrence interval possible reasons, including: according to the second occurrence quantity and its proportion and the second occurrence interval, respectively setting a set occurrence quantity range, a set proportion range and a set occurrence interval range; The first number of occurrences and its proportion are respectively within the range of the set number of occurrences and the range of the set proportion, or the first occurrence interval is within the range of the set occurrence interval, and it is determined that the fault occurs The possible reasons are one or more of a problem with the device manufacturer, a problem with the manufacturing batch of the device, and a problem with the version of the device specification.

In an embodiment, the method further includes: judging that the possible cause of the failure is a software defect of the device according to the same manufacturer of the device.

In an embodiment, the method further includes: judging that the possible cause of the failure is a hardware defect of the device according to the fact that the manufacturing batches of the same device manufacturer are the same.

In an embodiment, the method further includes: judging that the possible cause of the failure is a wrong understanding of the protocol according to the same protocol version of the devices.

In one embodiment, generating fault handling suggestions for various abnormalities in the abnormal operation data of the equipment includes: according to the analysis results, judging whether to include the equipment in the key monitoring equipment for system abnormalities, whether to set the set time The scope is included in the key monitoring time range of system abnormalities; according to the possible causes of the failure, generate a processing work order including the on-site processing operation process and spare parts information; The file data of the device and the file data of the device are generated to generate auxiliary data of the operation and maintenance work order including a list of contact persons for troubleshooting and a list of tools.

In one embodiment, the method further includes: according to the fault types of the various types of abnormalities and the abnormal operation data of the similar equipment, generating a troubleshooting suggestion including a review interval suggestion and a possible impact range of the fault.

In one embodiment, the method further includes: recording the actual processing work orders of the various types of abnormalities, so as to update the abnormal data of the equipment operation.

In one embodiment, the historical operation exception data includes occurrence records of various types of exceptions and work order processing results.

In one embodiment, the method further includes: acquiring and displaying user profile data, user electricity usage data, electricity usage collection terminal data, and electricity meter file data from the electricity consumption information collection system.

In one embodiment, the device is a power collection terminal or a power meter.

The method for analyzing the operating conditions of the electric energy metering equipment and the electricity information collection equipment of the present invention can statistically analyze the historical abnormal diagnosis records according to the equipment medical record card view mode, and support the file data of the equipment, the abnormal operation data of the equipment, and the abnormal historical operation Information such as data and abnormal operation data of similar equipment can be correlated and queried; fault location operations can be carried out, assisting in the investigation of potential faults in batches, and recommending fault handling suggestions to operation and maintenance personnel. The present invention has the ability to monitor and display business data, has the functions of index monitoring, trend analysis, correlation analysis, work order processing, and collection equipment management and control, and can realize the association and analysis of various types of equipment information.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only These are some embodiments of the present invention. Those skilled in the art can also obtain other drawings based on these drawings without creative work. In the attached picture:

Fig. 1 is a schematic flow chart of the operating condition analysis method of the electric energy metering equipment and the electricity consumption information collection equipment according to the embodiment of the present invention;

Fig. 2 is a schematic flow diagram of a method for generating possible causes of various abnormal faults in equipment operation abnormal data in an embodiment of the present invention;

FIG. 3 is a schematic flow chart of a method for generating possible causes of a fault in an embodiment of the present invention;

4 is a schematic flow diagram of a method for generating fault handling suggestions for various types of abnormalities in abnormal equipment operation data in an embodiment of the present invention;

Fig. 5 is a schematic flow diagram of a method for generating fault handling suggestions for various types of abnormalities in abnormal equipment operation data in one embodiment of the present invention;

Fig. 6 is a schematic flow chart of a method for analyzing operating conditions of an electric energy metering device and an electric power consumption information collection device according to another embodiment of the present invention.

detailed description

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention will be further described in detail below in conjunction with the accompanying drawings. Here, the exemplary embodiments and descriptions of the present invention are used to explain the present invention, but not to limit the present invention.

The invention provides a method for analyzing the operating conditions of electric energy metering equipment and electricity information collection equipment. The method is organized according to the equipment view function, surrounds the equipment object, and is based on the concept of "equipment medical record card", and can use the multi-tab interface to query The file data of the equipment, related query information such as recent equipment abnormal occurrences, historical abnormal occurrences, and similar equipment abnormal conditions, and finally obtain fault diagnosis and treatment suggestions and fault elimination processing and other information, and realize closed-loop fault management through the user view in a unified manner. Solve the problems in the existing technology that it is impossible to predict, suggest and troubleshoot the operating status of the equipment.

Fig. 1 is a schematic flow chart of the operation condition analysis method of the electric energy metering equipment and the electricity consumption information collection equipment according to the embodiment of the present invention. As shown in Figure 1, the method for analyzing the operating conditions of the electric energy metering equipment and the electricity consumption information collection equipment may include steps:

S101: Obtain the file data of the equipment and the abnormal operation data of the equipment within a set time from the electricity consumption information collection system;

S102: According to various types of abnormalities in the abnormal operation data of the equipment, acquire the historical operation abnormal data of the various types of abnormalities from the power consumption information collection system;

S103: Obtain abnormal operation data of similar equipment within the set time from the power consumption information collection system according to the archive data of the equipment;

S104: According to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment, generate the possible causes of various abnormal faults in the abnormal operation data of the equipment and the fault handling suggestions. In the embodiment of the present invention, based on the archive data of the equipment and the abnormal operation data of the equipment, the historical abnormal operation data and the abnormal operation data of similar equipment can be correlated and analyzed, and the reasonable possible cause of the failure can be obtained, and the Provide targeted troubleshooting suggestions.

Embodiments of the present invention relate to methods for analyzing operating conditions of electrical equipment. The equipment mentioned in each embodiment is mainly equipment related to electricity consumption by users, which may be energy metering equipment or electricity information collection equipment. The power consumption information collection device may be, for example, a power consumption collection terminal, and the power metering device may be, for example, a power meter.

In the above step S101, the profile data of the device includes the basic information of the device, such as the manufacturer and model of the device, and the basic information of the device can be displayed in the form of a page. The abnormal equipment operation data within the set time mainly refers to recent abnormal equipment operation data, for example, the set time is one week or one month.

Within the specified time frame, the monitoring system detects various abnormal occurrences of the equipment, the number and proportion of various abnormal events; it can correlate and query the historical operation abnormal occurrences of the same type of equipment and the abnormal occurrences of similar equipment, which is convenient Diagnose and analyze the causes of abnormal equipment operation.

In the above step S102, according to various types of abnormalities in the abnormal operation data of the equipment, the occurrence of certain types of abnormal records in the history of the equipment and the processing of work orders are correlated, and the statistics of occurrence intervals and processing conditions can be analyzed to analyze whether the fault or abnormality belongs to Occasional failures.

In one embodiment, in the above step S102, the historical operation exception data may include occurrence records of the above various types of exceptions and work order processing results. The occurrence records of various types of exceptions can be counted to provide reference for recent exception records; the result of the work order processing can be queried about the exception handling situation, and information such as operation and maintenance personnel and handling methods can be obtained from it, so as to provide a basis for subsequent handling of the same exception .

In one embodiment, in the above step S103, the similar device refers to being the same as the above-mentioned device in one or more aspects of the device manufacturer, device manufacturing batch, and device specification version.

According to whether similar abnormalities have occurred in the same manufacturer's equipment in history, it is judged that the cause of the failure may be a defect in the equipment software; according to the equipment manufacturer and batch information, determine whether there is a similar failure in the same batch of equipment, etc., and there may be defects in hardware components ;According to the device protocol version, etc., it can be analyzed whether there are similar faults, and there may be software defects caused by ambiguities in understanding the contents of the new protocol protocol, etc.; relevant exception handling work orders can be queried in association.

In the embodiment of the present invention, not only the file data of the equipment, the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of similar equipment can be obtained according to the above steps S101 to S103, but also can be obtained from the power consumption information collection system Obtain and display user profile data, user data on electricity use, data on electricity collection terminal and meter file data, so as to understand the whole picture of various other information related to the equipment. Among them, the user's electricity usage data can be used to judge that the abnormal operation of the equipment is caused by the user, and the user profile data is used to uniformly check the possible abnormal operation of the equipment of similar users.

Fig. 2 is a schematic flowchart of a method for generating possible causes of various abnormal faults in equipment operation abnormal data in an embodiment of the present invention. As shown in Figure 2, in the above step S104, according to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment, the abnormal fault occurrence data of various types in the abnormal operation data of the equipment are generated Approaches to possible causes may include steps to:

S201: According to the abnormal operation data of the equipment, calculate and obtain the first occurrence numbers and proportions of various abnormalities in the abnormal operation data of the equipment;

S202: According to the historical abnormal operation data, obtain the first occurrence intervals and processing results of various abnormalities in the equipment abnormal operation data;

S203: According to the abnormal operation data of the similar equipment, calculate and obtain the second occurrence number and proportion of various abnormalities in the abnormal operation data of the similar equipment, and a second occurrence interval;

S204: Generate possible causes of the fault according to the first occurrence number and its proportion, the first occurrence interval and processing results, the second occurrence number and its proportion, and the second occurrence interval .

In the embodiment of the present invention, the abnormal operation of the equipment is quantified by statistically calculating the number, proportion, and occurrence interval of abnormalities, so that the possible causes of abnormal power consumption can be accurately predicted.

In the above step S201, the first number of occurrences may be the number of occurrences of the various types of abnormalities, and the proportion is the ratio of the number of occurrences of a certain abnormality to the total number of abnormalities, so that various types of abnormalities in the abnormal data of equipment operation can be analyzed. Quantification of the occurrence of the event will help to analyze the cause of abnormal operation of the equipment.

In the above step S202, by counting the first occurrence intervals of the various types of abnormalities, the frequency of occurrence of the various types of abnormalities can be known. If the frequency of abnormalities is relatively high, the abnormality can be included in the key monitoring object, which is helpful for monitoring Abnormal warning. By obtaining the processing result of the exception, you can understand the processing situation of this type of exception, which is helpful to propose improvement suggestions for the processing method of the abnormal operation of the device.

In the above step S203, the second number of occurrences of various types of abnormalities in the abnormal operation data of similar equipment can be the number of occurrences, and the proportion here can be the ratio of the number of occurrences of a certain abnormality to the total number of occurrences of all abnormalities, so that Quantify the occurrence of the above-mentioned various abnormalities of similar equipment to facilitate comparison with the first occurrence number and proportion of the above-mentioned equipment.

In one embodiment, the similar device is the same as one or more of the device manufacturer, device manufacturing batch and device specification version of the device. In this way, it is analyzed that the possible cause of various abnormal operations of the above equipment is one or some of the equipment manufacturer, equipment manufacturing batch and equipment specification version.

Fig. 3 is a schematic flowchart of a method for generating possible causes of a fault in an embodiment of the present invention. As shown in Figure 3, in the above step S204, according to the first occurrence number and its proportion, the first occurrence interval and processing results, the second occurrence number and its proportion, and the second occurrence Interval, the method for generating the probable cause of said failure may comprise the steps of:

S301: According to the second occurrence quantity and its proportion and the second occurrence interval, respectively set a set occurrence quantity range, a set proportion range, and a set occurrence interval range;

S302: According to the first occurrence number and its proportion are respectively within the set occurrence number range and the set proportion range, or the first occurrence interval is within the set occurrence interval range, determine The possible reasons for the failure are one or more of the problems of the equipment manufacturer, the production batch of the equipment, and the version of the equipment specification. Among them, the problem of the equipment manufacturer can be a management defect or mistake, the problem of the equipment manufacturing batch can cause a certain defect in the same batch of products caused by the production line, and the problem of the version of the equipment specification can be a misunderstanding.

In the above step S301, set the set number range and the set proportion range according to the second occurrence number and proportion of various types of abnormalities of similar equipment, and set the set interval according to the second occurrence interval of various types of abnormalities of similar equipment range, which is helpful to obtain a reasonable judgment range, and through step S302 to further judge whether the number, proportion and interval of abnormal occurrences of the above-mentioned equipment are normal, so as to analyze that the possible cause of the failure is a hardware problem, a software problem or a statute of the electrical equipment. version problem, so as to contact the equipment manufacturer for fault warning.

In the embodiment of the present invention, the specific cause of the failure can be determined by comparing the number, proportion and occurrence interval of abnormalities with similar equipment, which helps to clarify key monitoring equipment.

In the above step S301, the possible causes of the failure of the equipment can be determined respectively according to the abnormal power consumption data of different similar equipment.

In one embodiment, according to the identity of the device manufacturer, it is determined that the possible cause of the failure is a device software defect.

In one embodiment, according to the fact that the manufacturing batches of the equipment of the same equipment manufacturer are the same, it is determined that the possible cause of the failure is a hardware defect of the equipment.

In one embodiment, based on the fact that the device protocol versions are the same, it is determined that the possible cause of the failure is a misunderstanding of the protocol protocol.

In the above-mentioned embodiments, by judging the corresponding data of the equipment manufacturer, equipment manufacturing batch, or equipment protocol version, more specific causes of failures can be obtained, so that fault maintenance tools and exception handling solutions can be prepared in a targeted manner.

In each embodiment of the present invention, after the possible causes of various abnormal faults in the equipment operation abnormal data are obtained according to the above step S104, fault handling suggestions can be given further. According to various types of abnormalities that have occurred, various fault handling suggestions can be determined, and then a processing plan can be selected according to the possible causes of the faults obtained through analysis.

On the basis of summarizing the abnormality handling methods/results and on-site fault handling process, according to the analysis results of equipment operation abnormality history records and similar equipment abnormality occurrences, etc., after determining the possible cause of the abnormality, you can follow the "remote observation-on-site treatment-handling "Effect Tracking" sequence to determine specific troubleshooting suggestions.

Fig. 4 is a schematic flowchart of a method for generating fault handling suggestions for various types of abnormalities in equipment operation abnormal data in an embodiment of the present invention. As shown in FIG. 4 , in each embodiment of the present invention, the above step S104, according to the abnormal operation data of the equipment, the abnormal operation data of the history and the abnormal operation data of the similar equipment, generates each of the abnormal operation data of the equipment. After the possible reasons for the occurrence of such abnormal faults, the method for generating fault handling suggestions for various types of abnormalities in the abnormal operation data of the equipment may include the steps of:

S401: According to the analysis result, judge whether to include the device in the system abnormal key monitoring equipment, whether to include the set time range in the system abnormal key monitoring time range;

S402: According to the possible cause of the failure, generate a processing work order including the on-site processing operation flow and spare parts information;

S403: According to the fault types of the various abnormalities, the file data of the user to which the device belongs, and the file data of the device, generate auxiliary operation and maintenance work order data including a fault handling contact person list and a tool list.

In step S401, according to the occurrence of the abnormality, determine the key equipment and monitoring time range for system abnormality monitoring, and remotely observe the abnormal change situation; in step S402, after determining the possible cause of the abnormality through the abnormal phenomenon, determine the specific process of the on-site operation, It can be exported to the processing work order to assist the operation and maintenance personnel in specific operations; in step S403, according to the type of abnormality, the file data of the user to which the above-mentioned device belongs, and the file data of the device, a list of contact persons for troubleshooting can be automatically generated, including Contact information of customers, equipment manufacturers, etc., as well as tool lists and other information, form warm tips for operation and maintenance work orders.

In one embodiment, the method for generating fault handling suggestions for various types of abnormalities in equipment operation abnormality data shown in FIG. 4 may further include a step of "processing effect tracking" after the above step S403.

Fig. 5 is a schematic flowchart of a method for generating fault handling suggestions for various types of abnormalities in equipment operation abnormal data in an embodiment of the present invention. As shown in Figure 5, the above step S403 may also include the steps of:

S404: According to the fault types of the various types of abnormalities and the abnormal operation data of the similar equipment, generate a troubleshooting suggestion including a review interval suggestion and a possible impact range of the fault.

In the embodiment of the present invention, according to the specific fault type and the occurrence of abnormal operation of similar equipment, the on-site review interval suggestion and the fault influence range information are given, which can assist in the follow-up troubleshooting work.

Fig. 6 is a schematic flow chart of a method for analyzing operating conditions of an electric energy metering device and an electric power consumption information collection device according to another embodiment of the present invention. As shown in FIG. 6, the method for analyzing the operating conditions of the electric energy metering equipment and the power consumption information collection equipment shown in FIG. 1 may further include the step of performing fault elimination processing after step S104:

S105: Record the actual processing work orders of the various types of abnormalities, so as to update the data on abnormal operation of the equipment.

In the embodiment of the present invention, the abnormal handling of the equipment is recorded, which can realize the closed-loop management of the fault, and can also provide materials for the improvement of the abnormal fault handling suggestion.

The method for analyzing the operating conditions of the electric energy metering equipment and the electricity consumption information collection equipment of the present invention can statistically analyze the historical abnormal diagnosis records according to the equipment medical record card view mode, and support the analysis of equipment files, historical abnormalities, historical processing work orders, and the same batch Realize associated query of information such as abnormality of equipment of the same manufacturer or the same manufacturer; it can carry out fault location operations, assist in the investigation of batch fault hidden dangers, and recommend fault handling suggestions to operation and maintenance personnel.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

The specific embodiments described above have further described the purpose, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above descriptions are only specific embodiments of the present invention and are not intended to limit the scope of the present invention. Protection scope, within the spirit and principles of the present invention, any modification, equivalent replacement, improvement, etc., shall be included in the protection scope of the present invention.

Claims (13)

1. the operating condition of an electric energy measuring equipment and power information collecting device analyzes method, it is characterised in that described method includes:

The file data of equipment and the equipment operation exception data within the setting time are obtained from power information acquisition system；

According to all kinds of exceptions in described equipment operation exception data, obtain described all kinds of abnormal history run abnormal datas from described power information acquisition system；

File data according to described equipment, obtains the operation exception data of like device within the described setting time from described power information acquisition system；

Operation exception data according to described equipment operation exception data, described history run abnormal data and described like device, generate possible cause and troubleshooting suggestion that in described equipment operation exception data, all kinds of abnormal faults occur；

Wherein, described equipment is electric energy measuring equipment or power information collecting device。

2. the operating condition of electric energy measuring equipment as claimed in claim 1 and power information collecting device analyzes method, it is characterized in that, operation exception data according to described equipment operation exception data, described history run abnormal data and described like device, generate the possible cause that in described equipment operation exception data, all kinds of abnormal faults occur, including:

According to described equipment operation exception data, calculate and obtain all kinds of the first abnormal generation quantity and accountings thereof described in described equipment operation exception data；

According to described history run abnormal data, statistics obtains all kinds of the first abnormal origination intervals and result described in described equipment operation exception data；

Operation exception data according to described like device, calculate all kinds of the second abnormal generation quantity and accountings thereof described in the operation exception data obtaining described like device and the second origination interval；

There is quantity and accounting, described first origination interval and result, described second generation quantity and accounting thereof and described second origination interval according to described first, generate the possible cause that described fault occurs。

3. the operating condition of electric energy measuring equipment as claimed in claim 2 and power information collecting device analyzes method, it is characterised in that one or more identical with the equipment manufacturers of described equipment, device fabrication batch and equipment stipulations version of described like device。

4. the operating condition of electric energy measuring equipment as claimed in claim 3 and power information collecting device analyzes method, it is characterized in that, quantity and accounting, described first origination interval and result, described second generation quantity and accounting thereof and described second origination interval is there is according to described first, generate the possible cause that described fault occurs, including:

There is quantity and accounting thereof and described second origination interval according to described second, be respectively provided with a setting generation quantitative range, a setting accounting scope and a setting origination interval scope；

Occur quantity and accounting thereof to be respectively at described setting according to described first and occur within the scope of quantitative range and described setting accounting, or described first origination interval is within the scope of described setting origination interval, it is judged that one or more in the problem that possible cause is described equipment manufacturers, the problem of described device fabrication batch and the problem of described equipment stipulations version that described fault occurs。

5. the operating condition of electric energy measuring equipment as claimed in claim 4 and power information collecting device analyzes method, it is characterised in that described method also includes:

Identical according to equipment manufacturers, it is judged that the possible cause that described fault occurs is device software defect。

6. the operating condition of electric energy measuring equipment as claimed in claim 4 and power information collecting device analyzes method, it is characterised in that described method also includes:

Device fabrication batch according to identical device manufacturer is identical, it is judged that the possible cause that described fault occurs is device hardware defect。

7. the operating condition of electric energy measuring equipment as claimed in claim 4 and power information collecting device analyzes method, it is characterised in that described method also includes:

Identical according to equipment stipulations version, it is judged that the possible cause that described fault occurs is stipulations agreement misinterpretations。

8. the operating condition of electric energy measuring equipment as described in any one of claim 1 to 7 and power information collecting device analyzes method, it is characterised in that generate all kinds of abnormal troubleshootings suggestions in described equipment operation exception data, including:

According to described analysis result, it may be judged whether described equipment to be listed in system exception emphasis monitoring equipment, if described setting time range to be listed in system exception emphasis monitoring time range；

According to the possible cause that described fault occurs, generate the process work order comprising in-situ processing operating process and standby redundancy information；

The file data of the user belonging to described all kinds of abnormal fault types, described equipment and the file data of described equipment, generate the O&M work order assistance data comprising troubleshooting liaison staff's inventory and tool list。

9. the operating condition of electric energy measuring equipment as claimed in claim 8 and power information collecting device analyzes method, it is characterised in that described method also includes:

Operation exception data according to described all kinds of abnormal fault types and described like device, generate the malfunction elimination suggestion including the suggestion of check interval and the possible coverage of fault。

10. the operating condition of electric energy measuring equipment as claimed in claim 8 and power information collecting device analyzes method, it is characterised in that described method also includes:

Record described all kinds of abnormal actual treatment work order, to update described equipment operation exception data。

11. the operating condition of electric energy measuring equipment as claimed in claim 1 and power information collecting device analyzes method, it is characterised in that described history run abnormal data includes described all kinds of abnormal occurrence record and worksheet result。

12. the operating condition of electric energy measuring equipment as claimed in claim 1 and power information collecting device analyzes method, it is characterised in that described method also includes:

Obtain and show subscriber profile data, user power utilization credit data, electricity consumption acquisition terminal data and ammeter file data from described power information acquisition system。

13. the operating condition of electric energy measuring equipment as claimed in claim 1 and power information collecting device analyzes method, it is characterised in that described equipment is electricity consumption acquisition terminal or electric energy meter。