A power grid information management system and method based on information fusion technology of marketing and distribution

Abstract

The application discloses a power grid information management system and method based on operation and distribution information fusion technology and belongs to the technical field of power grid information management. The system comprises an abnormal data acquisition module, an operation and distribution fusion data processing module, a distribution comprehensive analysis module and an information scheduling module. The output end of the abnormal data acquisition module is connected with the input end of the operation and distribution fusion data processing module. The output end of the operation and distribution fusion data processing module is connected with the input end of the distribution comprehensive analysis module. The output end of the distribution comprehensive analysis module is connected with the input end of the information scheduling module. The application can combine unified expression and information sharing of marketing and distribution data, realize close vertical and horizontal information integration between various application systems, provide a good communication platform between customer service personnel, repair personnel and repair personnel, achieve integration of urban distribution network production and repair command, and improve the actual requirement of power supply high reliability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid information management, in particular to a power grid information management system and method based on operation and distribution information fusion technology. BACKGROUND

[0002] The operation and distribution fusion technology is to deeply integrate the operation and distribution business at the organization level, the business level, the application level and the management level, to uniformly manage the operation and distribution basic file data, to establish complete "station-line-substation-box-house" topology relationship based on complete, accurate and consistent power grid equipment files, and to construct "operation and distribution network". Based on power grid GIS and power grid resource business middle platform, the operation and distribution fusion technology realizes the overall management of the whole process of distribution network planning, construction and operation, supports the accurate positioning of customer repair, intelligent order allocation, rapid judgment of distribution network low-voltage whole link fault, global power failure analysis, operation and distribution survey integration and real-time and accurate statistics of line loss.

[0003] At present, the power grid marketing side and the distribution network side respectively construct and configure the distribution automation master station system and the marketing side power consumption information acquisition system, which are two completely independent systems. The distribution automation equipment and the electric energy meter / data concentrator connected between the two systems adopt completely different data modeling and signal transmission methods. Under the current operation and distribution fusion environment, the following problems exist in realizing the interconnection of data:

[0004] 1. The data modeling methods of the two are different. The data modeling of the distribution network side only needs to classify and map the data types (remote signaling, remote measurement and remote control) for organization, and has greater flexibility. The data model of the marketing side is organized according to the characteristics of business types and terminal types (concentrator, electric energy meter, remote communication unit, etc.), and defines a plurality of different models, which has no generality and has great application limitations.

[0005] 2. The data organization methods are different, which causes that under the existing application conditions, the marketing side cannot directly obtain appropriate distribution network operation data from the distribution network side to meet the power consumption business control requirements; and the distribution network side needs to spend a lot of effort to match the protocol of the marketing side of a plurality of terminal devices to obtain the required distribution network end user side data, and the engineering application efficiency is not high.

[0006] 3. The protocol standards used by the two are different: the data transmission of the distribution network side mainly follows "DL / T 634.5104-2009 Remote Control Equipment and System Part 5104", and the data transmission of the marketing side mainly follows "Q / GDW 1376-2013 Power User Power Consumption Information Acquisition System Communication Protocol", and the data organization and transmission formats of the two are quite different and cannot be directly used. SUMMARY

[0007] The application aims to provide a power grid information management system and method based on marketing and distribution information fusion technology to solve the problems in the background art.

[0008] To solve the above technical problems, the application provides the following technical solutions: a power grid information management method based on marketing and distribution information fusion technology, comprising the following steps:

[0009] S1, acquiring real-time new data on the marketing master station side, which includes fault repair data received by the marketing master station side and distribution equipment new data;

[0010] S2, constructing a marketing and distribution fusion data processing module, and forwarding the real-time new data on the marketing master station side to the distribution master station side in real time to construct a communication transmission; if it is fault repair data, calling the operation and maintenance personnel team, and transmitting the fault location information in real time, if it is distribution equipment new data, proceeding to step S3;

[0011] S3, acquiring the current real-time distribution network provided by the distribution master station side, analyzing whether the new distribution equipment is located in the current real-time distribution network, if it is located in the current real-time distribution network, marking the new distribution equipment location point and outputting to the management port; if it is not located in the current real-time distribution network, constructing a new distribution equipment prediction model, setting a new time period threshold, if the output prediction time period is higher than the new time period threshold, scheduling the current distribution network;

[0012] S4, acquiring a power grid information scheduling instruction and outputting to the operation and maintenance personnel team port.

[0013] In step S2, the marketing and distribution fusion data processing module includes a model management unit and a memory management unit;

[0014] The model management unit includes a parameter model, a device model, a data model, and a mapping model; the memory management unit includes a parameter area memory (i.e. non-continuous memory) and a data area memory (i.e. continuous memory);

[0015] The model files of the model management unit are in XML format, the parameter model includes a distribution master station side IEC104 parameter model and a marketing master station side DL698 parameter model; the device model includes a fusion terminal access device model; the data model includes a device data object model and a device data type model; and the mapping model includes a device data mapping model;

[0016] The power distribution master station side IEC104 parameter model is used to define the content, format and parameter number of the communication parameters and protocol parameters of the IEC104 communication APP of the fusion terminal and the power distribution master station; the marketing master station side DL698 parameter model is used to define the content, format and parameter number of the communication parameters of the DL698 communication APP module of the fusion terminal and the marketing master station; the fusion terminal access equipment model is used to define the parameter content, format and number of the equipment accessed by the fusion terminal; the equipment data object model is used to define all data objects after the equipment is instantiated, and describes the functions and related communication mappings of the equipment; the equipment data type model is used to define the definition data structure of all data types in the equipment data object model; and the equipment data mapping model is used to define the mapping relationship between the data identifier and the data object, and is used to query the offset of the data in the memory.

[0017] The memory management unit is used to complete the reading and writing functions of the communication file parameters, data models and stored data in the running process;

[0018] The parameter area memory is read from the configuration file and loaded into the memory; the data area memory is read from the data storage real-time library, and the space of the data storage real-time library is a dynamically created and continuous memory. After power-on, the corresponding memory space is allocated after the space is calculated according to the configuration;

[0019] The storage of the data in the data storage real-time library is performed according to the order of the equipment instances in the configuration. Each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is the smallest storage unit, and the offset of the object instance in the entire memory can be obtained according to the total length of the memory occupied by each instance object. According to the memory offset and length of the data type inside the data instance object, a specific data element inside the data object instance is accessed, so as to realize the data reading and writing of the data area memory;

[0020] The allocation of the corresponding memory space includes:

[0021] S2-1, loading IED from an xml file, wherein the number of the loaded IED is consistent with the number of the equipment data object model;

[0022] S2-2, obtaining the corresponding data object type according to the data object configured in the IED;

[0023] S2-3, loading each data object according to the data object type, accumulating the continuous memory occupation length, and recording the length and offset address corresponding to each data object;

[0024] S2-4, repeat S2-3 until all data object types configured in S2-2 are loaded, and the memory length calculation of a single IED is completed;

[0025] S2-5, according to the IED loaded in S2-1, sequentially accumulate to obtain the total number of continuous memory occupied by data storage;

[0026] S2-6, apply continuous memory from the system according to the accumulated length, and perform allocation.

[0027] According to the above technical scheme, the new power distribution equipment prediction model comprises:

[0028] The system calls the interval length of the new power distribution equipment, sets the total amount of data called by the new power distribution equipment N, and according to the time sequence, the interval length of the new power distribution equipment is recorded as a set A={x1, x2,..., x N-1} where x1, x2,..., x N-1 represent the interval length of the new power distribution equipment under the total amount of N groups of data called; wherein x N-1 represents the interval length between the current new power distribution equipment and the last new power distribution equipment;

[0029] The set A is accumulated to generate a new set A1:

[0030]

[0031] wherein, y N-1 represents the N-1 group data in the new set A1; i represents the serial number; x i represents the i-th data in the set A;

[0032] The new set A1 is subjected to weighted neighbor value processing, and the processed data is recorded as a new set A2:

[0033] z N-2 =cx N-2 +(1-c)x N-3

[0034] wherein, z N-2 represents the N-2 group data in the new set A2; c represents the weighted distribution ratio;

[0035] Using the least square method, according to the sets A, A1 and A2, a gray prediction model is adopted to generate a model output value:

[0036] T N =[x1-m]e -μ(N-1) +m

[0037] wherein, T NThe predicted interval length represents the next newly added power distribution equipment, m represents a to-be-estimated parameter vector, and μ represents a development grey number.

[0038] The to-be-estimated parameter vector calculation includes:

[0039] The whitening differential equation of the new set A1 is constructed:

[0040]

[0041] The μ is a development grey number, and ω is an endogenous control grey number.

[0042] The to-be-estimated parameter vector is:

[0043]

[0044] The m indicates a to-be-estimated parameter vector.

[0045] According to the technical scheme, the system sets a newly added time period threshold value, if the output T N is higher than the newly added time period threshold value, the current power distribution network is dispatched.

[0046] The system obtains a power grid information scheduling instruction and outputs the instruction to a maintenance personnel shift port. In the above process, the newly added prediction judgment can prevent the power grid information scheduling from being changed multiple times. Once the information update speed is too fast, the power grid can be uniformly scheduled after being changed multiple times. The system can set a certain value, for example, after 3-5 times of information addition, the information scheduling is uniformly implemented.

[0047] A power grid information management system based on marketing and distribution information fusion technology, the system comprises: an abnormal data acquisition module, a marketing and distribution fusion data processing module, a power distribution comprehensive analysis module, an information scheduling module.

[0048] The abnormal data acquisition module is used to obtain real-time newly added data on the marketing master station side; the marketing and distribution fusion data processing module is used to realize the forwarding and transmission of the real-time newly added data between the marketing side master station and the power distribution side master station; the power distribution comprehensive analysis module is used to construct a power distribution analysis model according to the real-time newly added data, and judge whether power grid information scheduling is needed; and the information scheduling module is used to obtain a power grid information scheduling instruction and output the instruction to a maintenance personnel shift port.

[0049] The output end of the abnormal data acquisition module is connected with the input end of the marketing and distribution fusion data processing module; the output end of the marketing and distribution fusion data processing module is connected with the input end of the power distribution comprehensive analysis module; and the output end of the power distribution comprehensive analysis module is connected with the input end of the information scheduling module.

[0050] According to the technical scheme, the abnormal data acquisition module comprises a marketing information acquisition unit and a newly added data classification unit.

[0051] The marketing information acquisition unit is configured to acquire real-time new data fed back by the user, the real-time new data including fault repair data and power distribution equipment new data received by the marketing master station side; the new data classification unit is configured to classify the real-time new data; and an output end of the marketing information acquisition unit is connected to an input end of the new data classification unit.

[0052] According to the above technical solution, the marketing and distribution integrated data processing module includes a model management unit and a memory management unit;

[0053] The model management unit includes a parameter model, a device model, a data model and a mapping model; the memory management unit includes a parameter area memory and a data area memory; the model files of the model management unit are in XML format; the parameter model includes an IEC104 parameter model of the power distribution master station side and a DL698 parameter model of the marketing master station side; the device model includes a fusion terminal access device model; the data model includes a device data object model and a device data type model; and the mapping model includes a device data mapping model.

[0054] The IEC104 parameter model of the power distribution master station side is configured to define the content, format and parameter number of the communication parameters and protocol parameters of the IEC104 communication APP for communication between the fusion terminal and the distribution master station; the DL698 parameter model of the marketing master station side is configured to define the content, format and parameter number of the communication parameters of the DL698 communication APP module for communication between the fusion terminal and the marketing master station; the fusion terminal access device model is configured to define the parameter content, format and number of the device accessed by the fusion terminal; the device data object model is configured to define all data objects after instantiation of the device, and describe the functions and related communication mappings of the device; the device data type model is configured to define the definition data structure of all data types in the device data object model; and the device data mapping model is configured to define the mapping relationship between the data identifier and the data object, and is used to query the offset of the data in the memory.

[0055] The memory management unit is configured to complete the reading and writing functions of the communication file parameters, data models and stored data in the running process.

[0056] The parameter area memory is read from the configuration file and loaded into the memory; and the data area memory is read from the data storage real-time library, the space of the data storage real-time library being a dynamically created and continuous memory, and the corresponding memory space being allocated after calculation of the space according to the configuration after power-on.

[0057] The storage of data in the data storage real-time library is in the order of device instances in the configuration, each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is a minimum storage unit, the offset of each instance object in the entire memory can be obtained according to the total length of the memory occupied by the object, and a specific data element in the data object instance can be accessed according to the memory offset and length of the data type in the data instance object, so that the data read and write of the data area memory are realized.

[0058] According to the above technical scheme, the power distribution comprehensive analysis module comprises a power distribution network judgment unit and a prediction unit.

[0059] The power distribution network judgment unit is configured to obtain a current real-time power distribution network provided by a power distribution master station, and analyze whether the newly added power distribution device is located in the current real-time power distribution network; and the prediction unit is configured to, when the newly added power distribution device is not located in the current real-time power distribution network, construct a prediction model of the newly added power distribution device, set a newly added time period threshold, and if the output prediction time period is higher than the newly added time period threshold, dispatch the current power distribution network.

[0060] According to the above technical scheme, the information scheduling module comprises an instruction receiving unit and an information transmission unit.

[0061] The instruction receiving unit is configured to obtain a power grid information scheduling instruction; and the information transmission unit is configured to output the power grid information scheduling instruction to a maintenance personnel team port.

[0062] Compared with the prior art, the present application has the following beneficial effects:

[0063] The present application can combine the unified expression and information sharing of marketing and power distribution data, realize the close vertical and horizontal information integration between various application systems, provide a good communication platform between customer service personnel, repair personnel and repair personnel, and achieve the integration of urban distribution network production and repair command, and improve the actual requirements of power supply high reliability. BRIEF DESCRIPTION OF DRAWINGS

[0064] The accompanying drawings are included to provide a further understanding of the present application, and constitute a part of the specification, illustrate the present application together with the embodiments thereof, and explain the present application, and do not constitute a limitation of the present application. In the drawings:

[0065] Figure 1 is a flowchart of a power grid information management system and method based on marketing and distribution information fusion technology. DETAILED DESCRIPTION

[0066] With reference to the drawings of the embodiments of the present application, the technical solutions in the embodiments of the present application will be clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments of the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort are within the scope of the present application.

[0067] Please refer to Figure 1 In the first embodiment, new power distribution equipment data is set, marketing data personnel on the marketing master station side receives feedback notification of a new building, plans to build a new building in a certain area D, and needs to add power consumption data network;

[0068] The data processing module for the integration of marketing and power distribution includes a model management unit and a memory management unit.

[0069] The model management unit includes a parameter model, a device model, a data model, and a mapping model. The memory management unit includes a parameter area memory (non-continuous memory) and a data area memory (continuous memory).

[0070] The model files of the model management unit are in XML format. The parameter model includes an IEC104 parameter model on the power distribution master station side and a DL698 parameter model on the marketing master station side. The device model includes a fusion terminal access device model. The data model includes a device data object model and a device data type model. The mapping model includes a device data mapping model.

[0071] The IEC104 parameter model on the power distribution master station side is used to define the communication parameters, the content, the format, and the number of parameters of the IEC104 communication APP of the fusion terminal and the power distribution master station. The DL698 parameter model on the marketing master station side is used to define the communication parameters, the content, the format, and the number of parameters of the DL698 communication APP module of the fusion terminal and the marketing master station. The fusion terminal access device model is used to define the parameter content, the format, and the number of the device accessed by the fusion terminal. The device data object model is used to define all the data objects after the instantiation of the device, describe the functions of the device, and describe the related communication mapping. The device data type model is used to define the definition data structure of all the data types in the device data object model. The device data mapping model is used to define the mapping relationship between the data identifier and the data object, and is used to query the offset of the data in the memory.

[0072] The memory management unit is used to complete the reading and writing functions of the communication file parameters, the data model, and the stored data in the running process.

[0073] The parameter area memory is read from a configuration file and loaded into memory; the data area memory is read from a data storage real-time library, and the space of the data storage real-time library is dynamically created and continuous memory, and after power-on, the corresponding memory space is allocated after calculation according to the configuration;

[0074] The storage of data in the data storage real-time library is performed according to the order of device instances in the configuration, each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is a minimum storage unit, and the offset of the object instance in the entire memory can be obtained according to the total length of the memory occupied by each instance object, and a specific data element in the data object instance can be accessed according to the memory offset and length of the data type inside the data instance object, so as to realize data reading and writing of the data area memory;

[0075] The corresponding memory space includes: calculating how much memory each IED device instance occupies; adding up the memory occupied by all IED device instances to calculate the total length of the memory to be allocated; and performing continuous memory allocation according to the total length of the memory.

[0076] S2-1, load IED from an xml file, wherein the number of the loaded IED is consistent with the number of device data object models configured in the xml file; after power-on of the terminal, a memory configuration xml parameter file is read, which contains configured devices and data objects, and specifies the length of each data object instance, and the continuous memory data distribution will strictly follow the configuration order of the devices in the xml file; the xml configuration file is parsed to obtain the node of the device data object model, and from the num attribute of the node, the number of configured IED device nodes can be known;

[0077] S2-2, according to the data object configured in the IED, the corresponding data object type is obtained;

[0078] S2-3, according to the data object type, each data object is loaded, and the continuous memory occupation length is accumulated, and the length corresponding to each data object and the offset address are recorded;

[0079] S2-4, repeat S2-3 until all data object types configured in S2-2 are loaded, and the memory length calculation of a single IED is completed;

[0080] S2-5, according to the IED loaded in S2-1, the total number of continuous memory occupied by the data storage is obtained by sequentially accumulating;

[0081] S2-6, continuously memory with the accumulated length is applied from the system for allocation.

[0082] The real-time newly added data on the marketing master station side is forwarded to the power distribution master station side in real time, and the power distribution master station side provides the current real-time power distribution network, and it is found that the region D is not located in the current real-time power distribution network, and a newly added power distribution equipment prediction model is constructed:

[0083] The system calls the interval length of the newly added power distribution equipment, sets the total amount of data N called by the newly added power distribution equipment, and according to the time sequence, the interval length of the newly added power distribution equipment is recorded as set A={x1, x2, …, x N-1};Wherein x1, x2, …, x N-1 respectively represent the interval length of the newly added power distribution equipment under N groups of data called; Wherein x N-1 refers to the interval length between the current newly added power distribution equipment and the last newly added power distribution equipment; For example, the current addition is October 27, 15, and the last addition is October 10, 15, then x N-1 is 408 hours;

[0084] The set A is accumulated and processed, and the processed data is recorded as a new set A1:

[0085]

[0086] Wherein, y N-1 represents the N-1th group of data in the new set A1; i represents the serial number; x i represents the i-th data in set A;

[0087] The new set A1 is processed by weighted neighbor value, and the processed data is recorded as a new set A2:

[0088] z N-2 =cx N-2 +(1-c)x N-3

[0089] Wherein, z N-2 represents the N-2th group of data in the new set A2; c represents the weighted distribution ratio;

[0090] Using the least square method, according to sets A, A1 and A2, a gray prediction model is adopted to generate model output value:

[0091] T N =[x1-m]e -μ(N-1) +m

[0092] Wherein, T N represents the predicted interval length of the next newly added power distribution equipment, m represents the estimated parameter vector; μ represents the development gray number;

[0093] Wherein the estimated parameter vector calculation includes:

[0094] The whitening differential equation of the new set A1 is constructed:

[0095]

[0096] wherein, μ is the development gray number; ω is the endogenous control gray number;

[0097] The to-be-estimated parameter vector is:

[0098]

[0099] wherein, m indicates the to-be-estimated parameter vector.

[0100] The system sets a new time period threshold, and if the output T N is higher than the new time period threshold, the current power distribution network is dispatched;

[0101] The system obtains a power grid information dispatching instruction and outputs the same to a shift team port of an operation and maintenance personnel.

[0102] In the second embodiment, a power grid information management system based on marketing and distribution information fusion technology is provided, which comprises an abnormal data acquisition module, a marketing and distribution fusion data processing module, a power distribution comprehensive analysis module, and an information dispatching module.

[0103] The abnormal data acquisition module is configured to acquire real-time new data on the marketing master station side; the marketing and distribution fusion data processing module is configured to realize the forwarding and transmission of the real-time new data between the marketing side master station and the power distribution side master station; the power distribution comprehensive analysis module is configured to construct a power distribution analysis model according to the real-time new data, and determine whether power grid information dispatching is needed; and the information dispatching module is configured to obtain a power grid information dispatching instruction and output the same to a shift team port of an operation and maintenance personnel.

[0104] An output end of the abnormal data acquisition module is connected to an input end of the marketing and distribution fusion data processing module; an output end of the marketing and distribution fusion data processing module is connected to an input end of the power distribution comprehensive analysis module; and an output end of the power distribution comprehensive analysis module is connected to an input end of the information dispatching module.

[0105] The abnormal data acquisition module comprises a marketing information acquisition unit and a new data classification unit.

[0106] The marketing information acquisition unit is configured to acquire real-time new data fed back by users, wherein the real-time new data comprises fault repair data and power distribution equipment new data received by the marketing master station; the new data classification unit is configured to classify the real-time new data; and an output end of the marketing information acquisition unit is connected to an input end of the new data classification unit.

[0107] The marketing and distribution fusion data processing module comprises a model management unit and a memory management unit.

[0108] The model management unit comprises a parameter model, a device model, a data model and a mapping model; the memory management unit comprises a parameter area memory and a data area memory; the model files of the model management unit are in XML format, the parameter model comprises an IEC104 parameter model of a power distribution master station side and a DL698 parameter model of a marketing master station side; the device model comprises a fusion terminal access device model; the data model comprises a device data object model and a device data type model; and the mapping model comprises a device data mapping model;

[0109] The IEC104 parameter model of the power distribution master station side is used to define the content, format and parameter number of the communication parameters and protocol parameters of the IEC104 communication APP of the fusion terminal and the power distribution master station; the DL698 parameter model of the marketing master station side is used to define the content, format and parameter number of the communication parameters of the DL698 communication APP module of the fusion terminal and the marketing master station; the fusion terminal access device model is used to define the parameter content, format and number of the device accessed by the fusion terminal; the device data object model is used to define all the data objects after the instantiation of the device and describe the functions and related communication mappings of the device; the device data type model is used to define the definition data structure of all the data types in the device data object model; and the device data mapping model is used to define the mapping relationship between the data identifier and the data object and is used to query the offset of the data in the memory.

[0110] The memory management unit is used to complete the reading and writing functions of the communication file parameters, data models and stored data in the running process.

[0111] The parameter area memory is read from the configuration file and loaded into the memory; the data area memory is read from the data storage real-time library, the space of the data storage real-time library is a dynamically created and continuous memory, and after power-on, the corresponding memory space is allocated after the calculation of the space according to the configuration.

[0112] The storage of the data in the data storage real-time library is performed according to the order of the device instances in the configuration, each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is the smallest storage unit, the offset of the object instance in the entire memory can be obtained according to the total length of the memory occupied by each instance object, and a specific data element in the data object instance is accessed according to the memory offset and length of the data type in the data instance object, so as to realize the data reading and writing of the data area memory.

[0113] The power distribution comprehensive analysis module comprises a power distribution network judgment unit and a prediction unit.

[0114] The power distribution network judgment unit is used to acquire the current real-time power distribution network provided by the power distribution master station side, and analyze whether the newly added power distribution equipment is located in the current real-time power distribution network; the prediction unit is used to construct a prediction model of the newly added power distribution equipment when the newly added power distribution equipment is not located in the current real-time power distribution network, set a newly added time period threshold, and dispatch the current power distribution network if the output prediction time period is higher than the newly added time period threshold.

[0115] The information scheduling module comprises an instruction receiving unit and an information transmission unit.

[0116] The instruction receiving unit is used to acquire the power grid information scheduling instruction; and the information transmission unit is used to output the power grid information scheduling instruction to the operation and maintenance personnel team port.

[0117] It should be noted that, in this document, the relationship terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any such actual relationship or order between these entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment.

[0118] Finally, it should be noted that: the above only describes the preferred embodiments of the present application, and does not limit the present application, although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent replacement for part of the technical features. Any modification, equivalent replacement, improvement, etc. within the spirit and principles of the present application shall be included in the protection scope of the present application.

Claims

1. A power grid information management method based on the information fusion technology of marketing and distribution, characterized in that: The method comprises the following steps: S1, acquiring real-time new data on the marketing master station side, wherein the real-time new data on the marketing master station side comprises fault repair data and power distribution equipment new data received by the marketing master station side; S2, constructing an integrated marketing and power distribution data processing module, and forwarding the real-time new data on the marketing master station side to the power distribution master station side in real time to construct a communication transmission; if the data is fault repair data, calling an operation and maintenance personnel team, and transmitting fault location information in real time; if the data is power distribution equipment new data, proceeding to step S3; S3, acquiring a current real-time power distribution network provided by the power distribution master station side, analyzing whether the new power distribution equipment is located in the current real-time power distribution network, marking a new power distribution equipment location point if the new power distribution equipment is located in the current real-time power distribution network, and outputting to a management port; if the new power distribution equipment is not located in the current real-time power distribution network, constructing a new power distribution equipment prediction model, setting a new time period threshold, and scheduling a current power distribution network if the output prediction time period is higher than the new time period threshold; The new power distribution equipment prediction model comprises: interval duration of calling the new power distribution equipment, setting total data amount N of calling the new power distribution equipment, recording interval duration of the new power distribution equipment as set A={x1, x2, …, x N-1} in time sequence, wherein x1, x2, …, x N-1 respectively represent interval duration of the new power distribution equipment under N groups of total data amount of calling; wherein x N-1 refers to interval duration between the current new power distribution equipment and the last new power distribution equipment. Accumulative generation processing is performed on the set A, and the processed data is recorded as a new set A1: wherein y N-1 represents the (N-1)th group of data in the new set A1; i represents the serial number; x i represents the ith data in the set A Weighted neighbor value processing is performed on the new set A1, and the processed data is recorded as a new set A2: z N-2 = cx N-2 +(1 - c)x N-3 where z N-2 represents the N-2 group data in the new set A2; c represents the weighted distribution proportion; A gray prediction model is adopted according to the sets A, A1 and A2 by using the least square method to generate a model output value: where T N represents the predicted interval length of the next added power distribution equipment, m represents the parameter vector to be estimated; μ represents the development gray number; The calculation of the estimated parameter vector comprises: A whitening differential equation of the new set A1 is constructed: Wherein μ is a development gray number, and ω is an endogenous control gray number; The estimated parameter vector is: Wherein m indicates the estimated parameter vector; S4, acquiring a power grid information scheduling instruction, and outputting to an operation and maintenance personnel team port.

2. The power grid information management method based on the information fusion technology according to claim 1, characterized in that: In step S2, the integrated marketing and power distribution data processing module comprises a model management unit and a memory management unit; The model management unit comprises a parameter model, a device model, a data model and a mapping model; and the memory management unit comprises a parameter area memory and a data area memory; The model files of the model management unit are in XML format, the parameter model comprises a power distribution master station side IEC104 parameter model and a marketing master station side DL698 parameter model; the device model comprises a fusion terminal access device model; the data model comprises a device data object model and a device data type model; and the mapping model comprises a device data mapping model; The power distribution master station side IEC104 parameter model is used to define the content, format and parameter number of the communication parameters and protocol parameters of the IEC104 communication APP for communication between the fusion terminal and the power distribution master station; the marketing master station side DL698 parameter model is used to define the content, format and parameter number of the communication parameters of the DL698 communication APP module for communication between the fusion terminal and the marketing master station; the fusion terminal access device model is used to define the parameter content, format and number of the devices accessed by the fusion terminal; the device data object model is used to define all data objects after device instantiation, and describe the functions and related communication mappings of the device; the device data type model is used to define the definition data structure of all data types in the device data object model; and the device data mapping model is used to define the mapping relationship between the data identifier and the data object, and is used to query the offset of the data in the memory; The memory management unit is used for reading and writing functions of communication file parameters, data models and stored data in a running process; The parameter area memory is read from a configuration file and loaded into the memory; the data area memory is read from a data storage real-time library, and the space of the data storage real-time library is a dynamically created and continuous memory, and after power-on, the corresponding memory space is allocated after the space is calculated according to the configuration; The data storage in the data storage real-time library is performed according to the order of device instances in the configuration, each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is a minimum storage unit, the offset of the object instance in the entire memory can be obtained according to the total length of the memory occupied by each instance object, and a specific data element in the data object instance is accessed according to the memory offset and length of the data instance object, so that the data reading and writing of the data area memory are realized; The corresponding memory space includes: S2-1, loading IED from an xml file, wherein the number of the loaded IED is consistent with the number of device data object models configured; S2-2, obtaining corresponding data object types according to data objects configured in the IED; S2-3, loading each data object according to the data object types, accumulating the length of the continuous memory, and recording the length and offset address corresponding to each data object; S2-4, repeating S2-3 until all data object types configured in S2-2 are loaded, and the memory length of a single IED is calculated; S2-5, accumulating the total length of the continuous memory occupied by the data storage according to the IED loaded in S2-1; S2-6, applying continuous memory from the system according to the accumulated length for allocation.

3. The power grid information management method based on the information fusion technology according to claim 1, characterized in that: The system sets a new time period threshold, and if the output T N is higher than the new time period threshold, the current power distribution network is dispatched. The system obtains a power grid information scheduling instruction and outputs to an operation and maintenance personnel shift port.

4. A power grid information management system based on the information fusion technology of marketing and distribution, characterized in that, The system is used for executing the power grid information management method based on the marketing and distribution information fusion technology, and the system comprises an abnormal data acquisition module, a marketing and distribution fusion data processing module, a distribution comprehensive analysis module and an information scheduling module; The abnormal data acquisition module is used for obtaining real-time new data on the marketing master station side; the marketing and distribution fusion data processing module is used for realizing the forwarding and transmission of the real-time new data between the marketing side master station and the distribution side master station; the distribution comprehensive analysis module is used for constructing a distribution analysis model according to the real-time new data, and judging whether the power grid information scheduling is needed; and the information scheduling module is used for obtaining a power grid information scheduling instruction and outputting to an operation and maintenance personnel shift port; The output end of the abnormal data acquisition module is connected with the input end of the marketing and distribution fusion data processing module; the output end of the marketing and distribution fusion data processing module is connected with the input end of the distribution comprehensive analysis module; and the output end of the distribution comprehensive analysis module is connected with the input end of the information scheduling module.

5. The power grid information management system based on the information fusion technology of marketing and distribution according to claim 4, characterized in that: The abnormal data acquisition module comprises a marketing information acquisition unit and a new data classification unit. The marketing information acquisition unit is configured to acquire real-time new data fed back by the user, and the real-time new data includes fault repair data and power distribution equipment new data received by the marketing master station side; the new data classification unit is configured to classify the real-time new data; and an output end of the marketing information acquisition unit is connected to an input end of the new data classification unit.

6. The power grid information management system based on the information fusion technology of marketing and distribution according to claim 4, characterized in that: The marketing and distribution integrated data processing module includes a model management unit and a memory management unit. The model management unit includes a parameter model, a device model, a data model and a mapping model; the memory management unit includes a parameter area memory and a data area memory; model files of the model management unit are in an XML format; the parameter model includes an IEC104 parameter model of the power distribution master station side and a DL698 parameter model of the marketing master station side; the device model includes a fusion terminal access device model; the data model includes a device data object model and a device data type model; and the mapping model includes a device data mapping model. The IEC104 parameter model of the power distribution master station side is configured to define contents, formats and parameter numbers of communication parameters and protocol parameters of an IEC104 communication APP for communication between the fusion terminal and the power distribution master station; the DL698 parameter model of the marketing master station side is configured to define contents, formats and parameter numbers of communication parameters of a DL698 communication APP module for communication between the fusion terminal and the marketing master station; the fusion terminal access device model is configured to define parameter contents, formats and numbers of devices accessed by the fusion terminal; the device data object model is configured to define all data objects after instantiation of the device, and describe functions and related communication mappings of the device; the device data type model is configured to define data structures of all data types in the device data object model; and the device data mapping model is configured to define a mapping relationship between data identifiers and data objects, and is used to query an offset of data in the memory. The memory management unit is configured to complete reading and writing functions of communication file parameters, data models and stored data in a running process. The parameter area memory is read from a configuration file and loaded into the memory; and the data area memory is read from a data storage real-time library, and a space of the data storage real-time library is a dynamically created and continuous memory, and corresponding memory spaces are allocated after calculation of the space according to configuration after power-on. Data storage in the data storage real-time library is performed according to an order of device instances in the configuration, each instance contains a plurality of data object instances, each data object contains a plurality of data types, each data object type is a minimum storage unit, an offset of the object instance in the entire memory can be obtained according to a total length of memory occupied by each instance object, a specific data element in a data object instance can be accessed according to a memory offset and length of the data instance object, and thus data reading and writing of the data area memory is implemented.

7. The power grid information management system based on the information fusion technology of marketing and distribution according to claim 4, characterized in that: The power distribution comprehensive analysis module includes a power distribution network judgment unit and a prediction unit. The power distribution network judgment unit is used to acquire the current real-time power distribution network provided by the power distribution master station side, and analyze whether the newly added power distribution equipment is located in the current real-time power distribution network; the prediction unit is used to construct a prediction model of the newly added power distribution equipment when the newly added power distribution equipment is not located in the current real-time power distribution network, set a newly added time period threshold value, and if the output prediction time period is higher than the newly added time period threshold value, dispatch the current power distribution network.

8. The power grid information management system based on the information fusion technology of marketing and distribution according to claim 4, characterized in that: The information scheduling module comprises an instruction receiving unit and an information transmission unit. The instruction receiving unit is used to acquire the power grid information scheduling instruction; and the information transmission unit is used to output the power grid information scheduling instruction to the operation and maintenance personnel team port.

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